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Four steps to scrape salary information

Ansel Barrett

2024-03-22T18:11:51+00:00

scraping;steps;salary;market;career;octoparse;information;data;job;scrape;pay;companies

But where to find salary information and how to develop an insight into the labor market based on tracking salary?
By tracking salary information, you can set accurate expectations for jobs or evaluate how much a candidate might be satisfied with the provided salary.
By tracking salary information, you can set accurate expectations for jobs or evaluate how much a candidate might be satisfied with the provided salary.
Where to Find Salary InformationNowadays, you can access salary information on many platforms.
on Glassdoor, you can access salary information for specific positions at specific companies, including average salary, bonus, total pay, etc.

Knowing your worth is more important than ever in a competitive century. Salary, in this context, has become a good indicator. You should have a clear understanding of the salary level for jobs whether you’re job hunting or working in HR. But where to find salary information and how to develop an insight into the labor market based on tracking salary? The answer you need is in this post! Meanwhile, this post will walk you through how to collect salary information with web scraping.

Why You Need to Track Salary Information

Salary information is a valuable source for understanding the wage benchmarks for various roles across different locations, companies, industries, etc., making both job seekers and employers benefit from it.

For jobseekers

Web scraping grants job seekers access to current and comprehensive salary intelligence to make more informed decisions. Meanwhile, salary information on job search engines gives them a choice to have a deep understanding of the whole market.

Have a bigger picture of the market: salary scraping can give you information on typical pay bands for a role in different locations, industries, company sizes, etc., and help you identify salary outliers. Thus, you can indicate opportunities worth investigating or posting unlikely to meet your expectations.

salary scraping can give you information on typical pay bands for a role in different locations, industries, company sizes, etc., and help you identify salary outliers. Thus, you can indicate opportunities worth investigating or posting unlikely to meet your expectations. Inform career changes: the market is fast-changing. The market changes are always reflected in salary levels. Scraped salary data can let you conduct research into roles requiring similar skills that may pay more as career path options.

the market is fast-changing. The market changes are always reflected in salary levels. Scraped salary data can let you conduct research into roles requiring similar skills that may pay more as career path options. Negotiate a raise: after grabbing salary information from a variety of websites, you can see how your existing pay compares to market rates to know if you’re underpaid and therefore worthy of seeking higher offers. Structured pay data pooled from everywhere gives you more leverage when discussing competitive offers or salary requirements.

For employers

In short, online salary data provides companies with varied advantages from marketing to management if it’s monitored routinely for prevailing trends.

Evaluate candidate satisfaction: nowadays, job seekers pay more attention to research salaries during application. By tracking salary information, you can set accurate expectations for jobs or evaluate how much a candidate might be satisfied with the provided salary.

nowadays, job seekers pay more attention to research salaries during application. By tracking salary information, you can set accurate expectations for jobs or evaluate how much a candidate might be satisfied with the provided salary. Improve efficiency in recruitment: when you have the latest salary information on job posting platforms, you’ll understand pay trends, regional pay disparities, and more. Such insights allow you to provide more reasonable and attractive salary details for positions, then you can attract qualified talent efficiently while remaining fiscally responsible.

Where to Find Salary Information

Nowadays, you can access salary information on many platforms. Along with job search engines, company career pages, and other salary tools can be valuable sources as well. Here are some of the most famous websites where you can get salary data.

Glassdoor: on Glassdoor, you can access salary information for specific positions at specific companies, including average salary, bonus, total pay, etc. All salaries are reported anonymously by employees, giving you a comprehensive and trustworthy view.

on Glassdoor, you can access salary information for specific positions at specific companies, including average salary, bonus, total pay, etc. All salaries are reported anonymously by employees, giving you a comprehensive and trustworthy view. ZipRecruiter: the ZipRecruiter Salary page provides a tool to search current salary data and get the compensation you deserve in your role. It accesses over 15M monthly jobs and gets up-to-date salary info, letting you make informed career decisions with the tool.

the ZipRecruiter Salary page provides a tool to search current salary data and get the compensation you deserve in your role. It accesses over 15M monthly jobs and gets up-to-date salary info, letting you make informed career decisions with the tool. Company career pages: by scrolling through the career pages of companies, you have the opportunity to get first-hand information on salaries for jobs at specific companies. This is also a trustworthy and easy-to-access salary database.

Easy Steps to Extract Salary Data with Web Scraping

Salaries are dynamic. Web scraping is the key to grabbing the most updated salary data. As a technique to automate the process of data extraction, web scraping tools can help you turn pages into structured data for further use. In this part, we’ll walk you through how to build a salary scraper with Octoparse, a no-coding web scraping solution.

If this is your first time scraping salary data, download Octoparse for free and install it on your device. Then, you can sign up for a new account or log in with your Google and Microsoft account to unlock the powerful features of Octoparse.

Step 1: Create a new task to grab salary data

Copy the URL of the page you want to pull salary data from and paste it into the search bar on Octoparse. Then, click “Start” to create a new task for scraping salary information.

Step 2: Auto-detect salary information

Wait for the page to finish loading in Octoparse’s built-in browser, then click “Auto-detect webpage data” in the Tips panel. After that, Octoparse will scan the whole page and detect any extractable data. All detected data will be highlighted on the page, so you can check if Octoparse makes a good “guess” on what data you need. Also, you can check all detected data fields on the “Data Preview” panel at the bottom.

Step 3: Create and modify the workflow

Once you’ve selected all the wanted data, click “Create workflow.” Then, an auto-generated workflow will show up on your right-hand side. It’s a flow chart containing all the actions of the salary scraper. You can easily understand how the scraper works by reading the workflow from top to bottom. Meanwhile, with a click on an action, you can check if the action works as you expected. For unexpected actions, you can remove them from the chart directly and add new actions to modify the scraper.

Step 4：Run the task and export scraped salary data

After you’ve double-checked all the details, click the Run button to launch the scarper. There are two options for you to run the task. One is running it on your local device, which is a great choice for small tasks and quick runs. The other one is handing it over to Octoparse cloud servers. The cloud platform can scrape data around the clock, so you can get the latest salary data.

When the task finishes running, export the scraped salary information to a local file like Excel, JSON, CSV, etc., or a database like Google Sheets.

Wrap Up

Salary data provides various advantages for both job seekers and companies. When you have sufficient salary information, you’re more likely to develop a deep insight into the whole labor market even the industries. Try Octoparse now, and dive into the market!

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Knowing your worth is more important than ever in a competitive century. Salary, in this context, has become a good indicator. You should have a clear understanding of the salary level for jobs whether you’re job hunting or working in HR. But where to find salary information and how to develop an insight into the labor market based on tracking salary? The answer you need is in this post! Meanwhile, this post will walk you through how to collect salary information with  web scraping . Salary information is a valuable source for understanding the wage benchmarks for various roles across different locations, companies, industries, etc., making both job seekers and employers benefit from it. Web scraping grants job seekers access to current and comprehensive salary intelligence to make more informed decisions. Meanwhile, salary information on job search engines gives them a choice to have a deep understanding of the whole market. In short, online salary data provides companies with varied advantages from marketing to management if it’s monitored routinely for prevailing trends. Nowadays, you can access salary information on many platforms. Along with job search engines, company career pages, and other salary tools can be valuable sources as well. Here are some of the most famous websites where you can get salary data. Salaries are dynamic. Web scraping is the key to grabbing the most updated salary data. As a technique to automate the process of data extraction, web scraping tools can help you turn pages into structured data for further use. In this part, we’ll walk you through how to build a salary scraper with  Octoparse , a no-coding web scraping solution. If this is your first time scraping salary data,  download Octoparse for free  and install it on your device. Then, you can sign up for a new account or log in with your Google and Microsoft account to unlock the powerful features of Octoparse. Copy the URL of the page you want to pull salary data from and paste it into the search bar on Octoparse. Then, click “Start” to create a new task for scraping salary information. Wait for the page to finish loading in Octoparse’s built-in browser, then click “Auto-detect webpage data” in the Tips panel. After that, Octoparse will scan the whole page and detect any extractable data. All detected data will be highlighted on the page, so you can check if Octoparse makes a good “guess” on what data you need. Also, you can check all detected data fields on the “Data Preview” panel at the bottom. Once you’ve selected all the wanted data, click “Create workflow.” Then, an auto-generated workflow will show up on your right-hand side. It’s a flow chart containing all the actions of the salary scraper. You can easily understand how the scraper works by reading the workflow from top to bottom. Meanwhile, with a click on an action, you can check if the action works as you expected. For unexpected actions, you can remove them from the chart directly and add new actions to modify the scraper. After you’ve double-checked all the details, click the Run button to launch the scarper. There are two options for you to run the task. One is running it on your local device, which is a great choice for small tasks and quick runs. The other one is handing it over to Octoparse cloud servers. The cloud platform can scrape data around the clock, so you can get the latest salary data. When the task finishes running, export the scraped salary information to a local file like Excel, JSON, CSV, etc., or a database like Google Sheets. Wrap Up Salary data provides various advantages for both job seekers and companies. When you have sufficient salary information, you’re more likely to develop a deep insight into the whole labor market even the industries. Try  Octoparse  now, and dive into the market!

https://www.octoparse.com/pricing

https://www.octoparse.com/blog/how-to-scrape-the-guardian-data

How to scrape the Guardian

Abigail Jones

2024-03-21T10:24:32+00:00

scraping;websites;tools;web;guardian;data;information;scrape;process;click

Why Scrape Data from The GuardianThe Guardian is a reputable news organization that is extensively used for a number of important reasons and is renowned for its accurate and impartial reporting.
Marketing ResearchFor research purposes, data scraping The Guardian can provide a wealth of reliable information.
Step-by-Step guide on Setting up the Guardian ScraperStep 1: Create a new task for scraping the Guardian dataGet ready for the url from the Guardian that you want to scrape data from, copy and paste it into the search bar on Octoparse.
Step 2: Auto-detect the Guardian dataAfter the Guardian web page finishes loading in the built-in browser, you can use the auto detect feature to scrape all the Guardian data you want.
When the scraping process is completed, export the Guardian data to Excel or Google Sheets for further use.

The Guardian, people all across the world can obtain a great deal of information from the British daily newspaper. Since its establishment in 1821, it has gained a reputation for having the highest standards of journalistic ethics and providing in-depth reporting on a variety of topics, including politics, international affairs, culture, and sports. The Guardian adopted the digital age and used its extensive web platform to increase its global reach. It is renowned for its narrative style that is truthful and its dedication to social justice, which makes it the best source for readers looking for accurate information, well-rounded viewpoints, and perceptive insights.

Why Scrape Data from The Guardian

The Guardian is a reputable news organization that is extensively used for a number of important reasons and is renowned for its accurate and impartial reporting. Let’s examine each of them in more detail one by one.

Content Aggregation

Scraping The Guardian is valuable for the purpose of content aggregation. The newspaper offers an extensive range of high-quality articles, rich in depth and perspective. By aggregating this content, users can create a centralized repository of information on a variety of subjects. Aggregation also allows for easy comparison and contrast of The Guardian’s reporting with other sources, enabling a broad view of world events and a deeper understanding of specified topics.

Marketing Research

For research purposes, data scraping The Guardian can provide a wealth of reliable information. Researchers can compile articles relevant to their study, offering a well-informed viewpoint and creating a sturdy foundation for thorough investigation. The Guardian’s commitment to balance and objectivity, as well as its consistent focus on significant issues, makes it an excellent primary or secondary source for scholarly research and professional studies.

Sentiment Analysis

Sentiment analysis is the process of determining the emotional tone behind a series of words and understanding the attitudes, opinions, and emotions of the people writing them. The Guardian’s vast array of articles offer a goldmine of data for this purpose. With its wide scope of coverage on diverse topics and its global audience base, sentiment analysis on the newspaper’s content can provide valuable insights into public sentiment on a range of issues and trends.

Important Considerations Before Scraping the Guardian

Given the various benefits of web scraping, it’s critical to understand some important considerations before embarking on the process. Pivotal among these is respect for privacy and adherence to legal norms. Web scraping should align with the data privacy norms of the jurisdiction it’s being conducted in. It should not infringe upon personal data unless explicitly permitted. Furthermore, the website’s terms of service must be respected. Some websites prohibit scraping in their terms of use and violating them could lead to legal repercussions. Lastly, it is important to respect the site’s robots.txt file. The file is used by websites to guide how search engines and crawlers should interact with the site. Ignoring these guidelines can lead to your IP being blocked or other negative impacts, interfering with the web scraping process.

Tip: Welcome to check out more sources about the legality of web scraping as needed.

Methods for Web Scraping The Guardian

Coding Method: Python

Web scraping of The Guardian necessitates specific tools designed to extract data from websites swiftly and accurately. Python libraries, like Beautiful Soup and Scrapy, are two such pivotal tools. Beautiful Soup allows for parsing HTML or XML documents into a readable tree structure, enabling users to navigate, search, and modify the parse tree, while Scrapy aids in creating robust and scalable crawling programs. Additionally, Selenium is another beneficial tool as it can deal with Javascript on the Website, which static scrapers might overlook. Feel free to check out the source for a more detailed guide on how to do web scraping using Python.

Non coding Method: Octoparse

For those who prefer a less code-intensive approach, software applications like Octoparse might be more appropriate. Its user-friendly interfaces allow for extracting data from the Guardian through simple point-and-click commands efficiently. Moreover, employing proxies or VPNs could prevent IP bans during extensive scraping scenarios, especially for scraping the Guardian. Choosing the right toolset for web scraping would largely depend on the user’s technical proficiency and the scope of their scraping requirements.

Step-by-Step guide on Setting up the Guardian Scraper

Step 1: Create a new task for scraping the Guardian data

Get ready for the url from the Guardian that you want to scrape data from, copy and paste it into the search bar on Octoparse. Then click “Start” to create a new scraping task.

Step 2: Auto-detect the Guardian data

After the Guardian web page finishes loading in the built-in browser, you can use the auto detect feature to scrape all the Guardian data you want. Click “Auto-detect webpage data” in the Tips panel, then Octoparse will scan the page and predict the data you would like to extract. It will highlight all detected data inside the browser.

When you make sure you’ve selected all the needed data, click “Create the workflow”. Next, a workflow will be auto-generated on the right-hand side that shows the process of data scraping. Click on each step on the chart to check if it works properly, and add or remove any unwanted steps. Meanwhile, you can edit the data fields, like renaming them or deleting unwanted data, directly in the data preview section.

Step 3: Run and export the Guardian data

Once you’ve double-checked all the collected data, click on the Run button. Choose to run your scraping task on your local devices or in the Cloud. When the scraping process is completed, export the Guardian data to Excel or Google Sheets for further use.

Octoparse also provides template presets for news and article scraping. It’s even an easier way to scrape news data. Since the workflow is preset, you can only type in the necessary parameters to launch the scraper directly. You can find the templates and preview the data samples.

wrap up

The Guardian stands as a veritable goldmine of information, recognized for its high-quality journalism and comprehensive breadth of topics. It provides invaluable material for various applications, from content aggregation, conducting wide-ranging research, to sentiment analysis. Web scraping serves as a potent tool to harness this wealth of data effectively.

However, one must bear in mind crucial considerations regarding respect for privacy and the site’s specific terms of service. To effectively scrape The Guardian’s extensive resources, several tools, both code-based like Python libraries and user-friendly interfaces such as Octoparse can be utilized. Understanding and selecting suitable scraping tools caters to individual technical competencies and specific project needs, hence ensuring an efficient and effective scraping experience.

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The Guardian , people all across the world can obtain a great deal of information from the British daily newspaper. Since its establishment in 1821, it has gained a reputation for having the highest standards of journalistic ethics and providing in-depth reporting on a variety of topics, including politics, international affairs, culture, and sports. The Guardian adopted the digital age and used its extensive web platform to increase its global reach. It is renowned for its narrative style that is truthful and its dedication to social justice, which makes it the best source for readers looking for accurate information, well-rounded viewpoints, and perceptive insights. The Guardian is a reputable news organization that is extensively used for a number of important reasons and is renowned for its accurate and impartial reporting. Let’s examine each of them in more detail one by one. Content Aggregation Scraping The Guardian is valuable for the purpose of content aggregation. The newspaper offers an extensive range of high-quality articles, rich in depth and perspective. By aggregating this content, users can create a centralized repository of information on a variety of subjects. Aggregation also allows for easy comparison and contrast of The Guardian’s reporting with other sources, enabling a broad view of world events and a deeper understanding of specified topics. Marketing  Research For research purposes, data scraping The Guardian can provide a wealth of reliable information. Researchers can compile articles relevant to their study, offering a well-informed viewpoint and creating a sturdy foundation for thorough investigation. The Guardian’s commitment to balance and objectivity, as well as its consistent focus on significant issues, makes it an excellent primary or secondary source for scholarly research and professional studies. Sentiment Analysis Sentiment analysis is the process of determining the emotional tone behind a series of words and understanding the attitudes, opinions, and emotions of the people writing them. The Guardian’s vast array of articles offer a goldmine of data for this purpose. With its wide scope of coverage on diverse topics and its global audience base, sentiment analysis on the newspaper’s content can provide valuable insights into public sentiment on a range of issues and trends. Given the various benefits of web scraping, it’s critical to understand some important considerations before embarking on the process. Pivotal among these is respect for privacy and adherence to legal norms. Web scraping should align with the data privacy norms of the jurisdiction it’s being conducted in. It should not infringe upon personal data unless explicitly permitted. Furthermore, the website’s terms of service must be respected. Some websites prohibit scraping in their terms of use and violating them could lead to legal repercussions. Lastly, it is important to respect the site’s robots.txt file. The file is used by websites to guide how search engines and crawlers should interact with the site. Ignoring these guidelines can lead to your IP being blocked or other negative impacts, interfering with the web scraping process. Tip:  Welcome to check out more sources   about the  legality of web scraping  as needed. Coding Method: Python  Web scraping of The Guardian necessitates specific tools designed to extract data from websites swiftly and accurately. Python libraries, like Beautiful Soup and Scrapy, are two such pivotal tools. Beautiful Soup allows for parsing HTML or XML documents into a readable tree structure, enabling users to navigate, search, and modify the parse tree, while Scrapy aids in creating robust and scalable crawling programs. Additionally, Selenium is another beneficial tool as it can deal with Javascript on the Website, which static scrapers might overlook. Feel free to check out the source for a more detailed guide on how to do  web scraping using Python. Non coding Method: Octoparse For those who prefer a less code-intensive approach, software applications like  Octoparse  might be more appropriate. Its user-friendly interfaces allow for extracting data from the Guardian through simple point-and-click commands efficiently. Moreover, employing proxies or VPNs could prevent IP bans during extensive scraping scenarios, especially for scraping the Guardian. Choosing the right toolset for web scraping would largely depend on the user’s technical proficiency and the scope of their scraping requirements. Get ready for the url from the Guardian that you want to scrape data from, copy and paste it into the search bar on Octoparse. Then click “Start” to create a new scraping task. After the Guardian web page finishes loading in the built-in browser, you can use the auto detect feature to scrape all the Guardian data you want. Click “Auto-detect webpage data” in the Tips panel, then Octoparse will scan the page and predict the data you would like to extract. It will highlight all detected data inside the browser.  When you make sure you’ve selected all the needed data, click “Create the workflow”. Next, a workflow will be auto-generated on the right-hand side that shows the process of data scraping. Click on each step on the chart to check if it works properly, and add or remove any unwanted steps. Meanwhile, you can edit the data fields, like renaming them or deleting unwanted data, directly in the data preview section. Once you’ve double-checked all the collected data, click on the Run button. Choose to run your scraping task on your local devices or in the Cloud. When the scraping process is completed, export the Guardian data to Excel or Google Sheets for further use.  Octoparse also provides template presets for news and article scraping. It’s even an easier way to scrape news data. Since the workflow is preset, you can only type in the necessary parameters to launch the scraper directly. You can find the templates and preview the data samples. wrap up The Guardian stands as a veritable goldmine of information, recognized for its high-quality journalism and comprehensive breadth of topics. It provides invaluable material for various applications, from content aggregation, conducting wide-ranging research, to sentiment analysis. Web scraping serves as a potent tool to harness this wealth of data effectively.  However, one must bear in mind crucial considerations regarding respect for privacy and the site’s specific terms of service. To effectively scrape The Guardian’s extensive resources, several tools, both code-based like Python libraries and user-friendly interfaces such as Octoparse can be utilized. Understanding and selecting suitable scraping tools caters to individual technical competencies and specific project needs, hence ensuring an efficient and effective scraping experience.

https://www.octoparse.com/pricing

https://www.octoparse.com/blog/set-up-a-job-aggregator-with-web-scraping

Build job aggregators with web scraping

Ansel Barrett

2024-03-20T17:38:35+00:00

scraping;build;aggregators;workflow;tools;web;postings;octoparse;aggregator;data;job;posts

Setting up a job aggregator needs sufficient data on job posts, making web scraping an essential means for aggregating position information.
What Role is Web Scraping in Job AggregationAs mentioned above, data from job posts is the building block of any job aggregator.
Because web scraping can pull data from websites, web scraping plays an important role in job aggregation to avoid such problems.
Another important role of web scraping in job aggregation is that it can contribute to an up-to-the-minute collection of job openings.
How to Scrape Job Posts EfficientlyCollecting job posts with web scraping is an effective but not easy method.

Job aggregators are effective tools for job seekers to find relevant career opportunities and keep track of other important information about jobs, such as location, industry, salary level, etc. Setting up a job aggregator needs sufficient data on job posts, making web scraping an essential means for aggregating position information. In this post, we’ll show you how to extract data for job aggregators.

What are Job Aggregators

You might have heard names of famous job boards, like ZipRecruiter, which provide users with general postings available in a searchable format. In general, you can search for job opportunities for a specific industry to narrow and tailor your search on a job board. Job aggregators share some of the advantages of job boards somehow, and show strengths in providing sources from various sources.

A job aggregator, in short, is a one-stop hub where job openings from everywhere online can be easily searched and compared to help connect talent with opportunities. Job aggregators are the aggregating tools for both job seekers and companies. A good aggregator, taking major aggregators like Indeed and LinkedIn Jobs as examples, should have a huge and comprehensive job database for users to filter by location, industry, keywords, and other criteria.

What Role is Web Scraping in Job Aggregation

As mentioned above, data from job posts is the building block of any job aggregator. Without sufficient data from diverse sources, a job aggregator can not provide core functions of centralizing information in a location. Because web scraping can pull data from websites, web scraping plays an important role in job aggregation to avoid such problems.

Web scraping is a technique that applies a bot or web crawler to copy specific data from the pages into a database or spreadsheet. While you might copy and paste data online to a local file manually, web scraping improves the efficiency of collecting information and allows you to extract data in bulk with fewer human errors.

Another important role of web scraping in job aggregation is that it can contribute to an up-to-the-minute collection of job openings. Because the status of job posts is fast-changing on most pages, tracking new and updated postings is crucial for timing your job aggregators. Web scraping, in this context, can scrape job listings from thousands of sources repeatedly to populate your database and automate the process of detecting and importing fresh listings.

How to Scrape Job Posts Efficiently

Collecting job posts with web scraping is an effective but not easy method. For example, if you’re new to web scraping and have no skills in coding, you might find writing scripts for data extraction has a steep learning curve. Even expert might have faced some challenges, like the anti-scraping feature that can block their IPs and slow down the speed of scraping data.

To solve such problems, many service providers have launched a variety of no-coding web scraping tools. These tools are designed for anyone regardless of programming skills. Taking Octoparse as an example, this solution can turn job posts on the pages into structured data within clicks. It has features, like auto-detection, task scheduling, automatic export, IP rotation, CAPTCHA solving, etc., to simplify the data extraction process and avoid blocking.

Besides the no-coding web scraping tools, you can try different means based on your specific needs and coding skills. Python and web scraping APIs are also well-used for grabbing job posts. You can check out our TOP list of web scraping tools for extracting job posts to find the right one.

Four Steps to Scrape Data for Job Aggregators

Now, we’ve seen how important web scraping is for job aggregation. In this part, we’ll walk you through how to scrape job posts for job aggregators with Octoparse. Building a job scraper with Octoparse will only take four steps, so you can spend most of your time in other sections of setting up a job aggregator, such as creating the front end and developing the posting flow.

If this is your first time scraping job postings, please download Octoparse for free and install it on your device. Then, you can sign up for a new account or log in with your Google or Microsoft account to unlock the powerful features of Octoparse.

Step 1: Create a new task for scraping job postings

Copy the URL of any page you want to scrape job postings from, then paste it into the search bar on Octoparse. Next, click “Start” to create a new task.

Step 2: Auto-detect details of jobs on the page

Wait until the page finishes loading in Octoparse’s built-in browser (it might take seconds), then click “Auto-detect webpage data” in the Tips panel. After that, Octoparse will scan the whole page and “guess” what data you’re looking for.

For example, when you try to scrape job postings from Indeed, Octoparse will highlight job title, company name, location, salary level, job type, posted day, etc., on the page for you. Then you can check if it has selected all the data you want. Also, you can preview all detected data fields in the “Data Preview” panel at the bottom.

Step 3: Create the workflow for job scraping

Once you’ve selected all the wanted data, click “Create workflow” in the Tips panel. Then, an auto-generated workflow will show up on your right-hand side. The workflow shows every action of the job scraper. By reading it from top to bottom, you can easily understand how your scraper works.

Also, you can click on each action of the workflow to review if the action works as expected. If there is any action doesn’t work, you can remove it from the workflow and add new actions to modify it and get the job data you need.

Step 4: Run the task and export the scraped job data

After you’ve double-checked all the details, click the Run button to launch the task. You can run it directly on your device, or hand it over to Octoparse Cloud Servers. Compared with running the scraper locally, the Octoparse cloud platform is a perfect choice for huge tasks, and cloud servers can work for you around the clock. Then, you can get up-to-date job postings for your job aggregators.

When the run is completed, export the scraped job postings to a local file like Excel, CSV, JSON, etc., or a database like Google Sheets for further use.

Wrap UP

Web scraping is a must for job aggregation. It’s impossible to set up a trusted and up-to-date job aggregator without the help of web scraping tools. No-coding web scraping solutions can simplify your process of collecting job postings so that you can spend most effort and time on setting up and modifying the job aggregator. Give Octoparse a try, let web scraping fuel job aggregation.

https://www.octoparse.com/favicon.ico?v1

https://www.octoparse.com/_next/static/media/language.47bec604.svg;https://www.octoparse.com/favicon.ico?v1;https://static.octoparse.com/en/20230404165456810.jpg;https://www.octoparse.com/_next/static/media/share.7631a8f5.png;https://static.octoparse.com/en/20240322174527428.png;https://www.octoparse.com/_next/static/media/footer-youtube.468cf48a.svg;https://static.octoparse.com/en/20230420101840203.jpg;https://www.octoparse.com/_next/static/media/footer-twitter.d67c1d91.svg;https://www.octoparse.com/_next/static/media/logo.e87773de.svg;https://www.octoparse.com/_next/static/media/hamburger.601c4c43.svg;https://static.octoparse.com/en/20230414154531957-scaled.jpg;https://static.octoparse.com/en/20230420153353255.jpg;https://static.octoparse.com/en/20230625102302122.jpg;https://static.octoparse.com/en/20230625102617952.png;https://www.octoparse.com/_next/static/media/footer-linkedin.73476f51.svg;https://static.octoparse.com/en/20230625101851354.jpg;https://static.octoparse.com/en/20230420151009294-scaled.jpg;https://static.octoparse.com/en/20230420114731744.jpg;https://1.gravatar.com/avatar/ad7d24b685b81873c5d6867e479e718e?s=96&d=mm&r=g;https://www.octoparse.com/_next/static/media/down.bb42fc52.svg;https://0.gravatar.com/avatar/f93b4bb177b67513c1d5b35000202a39?s=96&d=mm&r=g

Job aggregators are effective tools for job seekers to find relevant career opportunities and keep track of other important information about jobs, such as location, industry, salary level, etc. Setting up a job aggregator needs sufficient data on job posts, making web scraping an essential means for aggregating position information. In this post, we’ll show you  how to extract data for job aggregators . You might have heard names of famous job boards, like ZipRecruiter, which provide users with general postings available in a searchable format. In general, you can search for job opportunities for a specific industry to narrow and tailor your search on a job board. Job aggregators share some of the advantages of job boards somehow, and show strengths in providing sources from various sources. A job aggregator, in short, is a one-stop hub where job openings from everywhere online can be easily searched and compared to help connect talent with opportunities. Job aggregators are the aggregating tools for both job seekers and companies. A good aggregator, taking major aggregators like Indeed and LinkedIn Jobs as examples, should have a huge and comprehensive job database for users to filter by location, industry, keywords, and other criteria. As mentioned above, data from job posts is the building block of any job aggregator. Without sufficient data from diverse sources, a job aggregator can not provide core functions of centralizing information in a location. Because web scraping can pull data from websites, web scraping plays an important role in job aggregation to avoid such problems. Web scraping is a technique that applies a bot or web crawler to copy specific data from the pages into a database or spreadsheet. While you might copy and paste data online to a local file manually, web scraping improves the efficiency of collecting information and allows you to extract data in bulk with fewer human errors. Another important role of web scraping in job aggregation is that it can contribute to an up-to-the-minute collection of job openings. Because the status of job posts is fast-changing on most pages, tracking new and updated postings is crucial for timing your job aggregators. Web scraping, in this context, can scrape job listings from thousands of sources repeatedly to populate your database and automate the process of detecting and importing fresh listings. Collecting job posts with web scraping is an effective but not easy method. For example, if you’re new to web scraping and have no skills in coding, you might find writing scripts for data extraction has a steep learning curve. Even expert might have faced some challenges, like the anti-scraping feature that can block their IPs and slow down the speed of scraping data. To solve such problems, many service providers have launched a variety of no-coding web scraping tools. These tools are designed for anyone regardless of programming skills. Taking Octoparse as an example, this solution can turn job posts on the pages into structured data within clicks. It has features, like auto-detection, task scheduling, automatic export, IP rotation, CAPTCHA solving, etc., to simplify the data extraction process and avoid blocking. Besides the no-coding web scraping tools, you can try different means based on your specific needs and coding skills. Python and web scraping APIs are also well-used for grabbing job posts. You can check out our  TOP list of web scraping tools for extracting job posts  to find the right one. Now, we’ve seen how important web scraping is for job aggregation. In this part, we’ll walk you through how to scrape job posts for job aggregators with  Octoparse . Building a job scraper with Octoparse will only take four steps, so you can spend most of your time in other sections of setting up a job aggregator, such as creating the front end and developing the posting flow. If this is your first time scraping job postings, please  download Octoparse for free  and install it on your device. Then, you can sign up for a new account or log in with your Google or Microsoft account to unlock the powerful features of Octoparse. Copy the URL of any page you want to scrape job postings from, then paste it into the search bar on Octoparse. Next, click “Start” to create a new task. Wait until the page finishes loading in Octoparse’s built-in browser (it might take seconds), then click “Auto-detect webpage data” in the Tips panel. After that, Octoparse will scan the whole page and “guess” what data you’re looking for. For example, when you try to scrape job postings from Indeed, Octoparse will highlight job title, company name, location, salary level, job type, posted day, etc., on the page for you. Then you can check if it has selected all the data you want. Also, you can preview all detected data fields in the “Data Preview” panel at the bottom. Once you’ve selected all the wanted data, click “Create workflow” in the Tips panel. Then, an auto-generated workflow will show up on your right-hand side. The workflow shows every action of the job scraper. By reading it from top to bottom, you can easily understand how your scraper works. Also, you can click on each action of the workflow to review if the action works as expected. If there is any action doesn’t work, you can remove it from the workflow and add new actions to modify it and get the job data you need. After you’ve double-checked all the details, click the Run button to launch the task. You can run it directly on your device, or hand it over to Octoparse Cloud Servers. Compared with running the scraper locally, the Octoparse cloud platform is a perfect choice for huge tasks, and cloud servers can work for you around the clock. Then, you can get up-to-date job postings for your job aggregators. When the run is completed, export the scraped job postings to a local file like Excel, CSV, JSON, etc., or a database like Google Sheets for further use. Wrap UP Web scraping is a must for job aggregation. It’s impossible to set up a trusted and up-to-date job aggregator without the help of web scraping tools. No-coding web scraping solutions can simplify your process of collecting job postings so that you can spend most effort and time on setting up and modifying the job aggregator. Give  Octoparse  a try, let web scraping fuel job aggregation.

https://www.octoparse.com/pricing

https://www.octoparse.com/blog/best-job-scrapers-worth-to-try

Top list of web scraping tools for getting job postings

Ansel Barrett

2024-03-19T16:57:28+00:00

scraping;list;tools;web;scrapers;free;platforms;postings;octoparse;getting;job;data;posts;supported

This post will list the best web scraping tools for job posts in 2024 to help you extract valuable information from job search websites easily.
You can use these templates not only on the desktop-based software but also in your browser on the Octoparse Web Scraping Templates page.
Its LinkedIn Job Scraper can extract job titles, locations, descriptions, company names, posted at, etc., from LinkedIn job posts and export them in a spreadsheet.
Now, it offers three job scrapers to scrape job data from various job search engines, including LinkedIn, Monter, Indeed, Craigslist, etc., with built-in proxy unblocking infra.
TOP 10: PythonBesides applying no-coding tools to scrape job posts, writing a job scraping with Python is still a practical method.

In the 21st century, usage of online recruiting platforms is on the rise. According to a 2021 Pew Research survey, about 70% of adults in the U.S. have used the Internet to look for a job at some point. Also, a report showed that more than 80% of recruiters shared job openings on company career sites and online job search engines in 2022. Countless job openings are posted on the Internet, making collecting them manually from websites a dirty task. This post will list the best web scraping tools for job posts in 2024 to help you extract valuable information from job search websites easily.

TOP 10 Web Scraping Solutions for Extracting Job Posts

TOP 1: Octoparse

Cost: Free plan or paid plan from $75/mo Platforms Supported: Desktop-based and browser-based

If you’re new to scraping job posts and not good at coding, Octoparse is the perfect tool for you to take the first step. As a no-coding web scraping solution, Octoparse is designed for anyone to turn pages into structured files with clicks. It can also play the role of the AI web scraping assistant with its advanced features, for instance:

Auto-detection : This feature can automate scan the page and locate extractable job posts on the pages rather than asking you to select wanted data by hand or locating data in HTML files;

: This feature can automate scan the page and locate extractable job posts on the pages rather than asking you to select wanted data by hand or locating data in HTML files; Auto-generated workflow : A workflow on Octoparse is a flow chart that shows every action of a scraper. Octoparse visualize the scraping process for you to preview scrapers easily without asking you to write any line of code;

: A workflow on Octoparse is a flow chart that shows every action of a scraper. Octoparse visualize the scraping process for you to preview scrapers easily without asking you to write any line of code; Preset templates: Preset templates allow you to scrape data by only inputting several required parameters. Now Octoparse offers many templates for the most popular job search engines, like LinkedIn, Indeed, and Glassdoor. You can use these templates not only on the desktop-based software but also in your browser on the Octoparse Web Scraping Templates page.

Along with these features, Octopaese simplifies the web scraping process at every stage. You can schedule job scrapers to run termly and export scraped data automatically. Also, its strengths in IP rotation and CAPTCHA solving will improve your efficiency in pulling job posts from websites.

TOP 2: Apify

Cost: Apify platform usage from $49/mo + fee for the developers of scrapers you use Free Plan: $5 platform free usage every month Platforms Supported: Cloud-based

Apify is a platform for developers to build, deploy, and publish web scraping tools. There is a list of ready-made recruitment web scrapers in the Apify Store. You can apply these scrapers to extract job listings and candidate data from most job search websites, including Indeed, LinkedIn, Crunchbase, Fiverr, etc.

TOP 3: PhantomBuster

Cost: from $56/mo Free Trials: 14 days and no credit card required Platforms Supported: Browser-based

PhantomBuster is a web scraping solution with a focus on lead generation. Also, it’s an expert in scraping job posts and leads from LinkedIn. There is a series of preset scrapers (called Phantoms and Flows on PhantonBuster) for users to grab data from different pages on LinkedIn. Its LinkedIn Job Scraper can extract job titles, locations, descriptions, company names, posted at, etc., from LinkedIn job posts and export them in a spreadsheet.

TOP 4: Captain Data

Cost: from $999/mo with 5 seats Free Trials: 7 days Platforms Supported: Cloud-based

Captain Data is a no-code platform that helps businesses create a database of leads and enrich the database. It offers hundreds of ready-made scrapers, so users don’t have to build them with any maintenance or engineering headaches. On its Automations Library, you can search the keyword “Job” to get scrapers for extracting job posts from LinkedIn and Indeed.

TOP 5: Bright Data

Cost: Pay as you go or monthly subscription from $500 Free Trials: Limited by the number of scraped records Platforms Supported: Cloud-based

Bright Data provides services for collecting public web data. It can reduce users’ development time with pre-built scrapers. Now, it offers three job scrapers to scrape job data from various job search engines, including LinkedIn, Monter, Indeed, Craigslist, etc., with built-in proxy unblocking infra.

TOP 6: ScrapeStorm

Cost: from $49.99/mo Free Trials: free plan with limits Platforms Supported: Desktop-based

A team of former Google crawlers built ScrapeStorm, a visual web scraping tool powered by artificial intelligence. While scraping job posts with this tool, you don’t need to write any line of code, and its visual click operation lets you to built job scrapers with only a few clicks on the page.

TOP 7: Oxylabs

Cost: From $49/mo for web scraper API Free Trials: 7 days Platforms Supported: Cloud-based

Scraper API is the core product of Oxylabs. While using Oxylabs web scraping API to scrape job data, you can tailor parameters to meet your needs without any extra fee and get large volumes of data from even the most complex websites. Not surprisingly, Oxylabs is equipped with features like proxy management and CAPTCHA bypass for collecting data at scale.

TOP 8: ScraperAPI

Cost: from $49/mo Free Trials: 5000 free API credits for 7 days Platforms Supported: Desktop-based

ScraperAPI is a simple API to scale your data collection. With this API, web scraping is simplified using artificial intelligence. It can, for instance, identify the data you need on the page. Meanwhile, you can scrape job lists from related websites and bypass any sort of anti-scraping system because of its capabilities in proxies and CAPTCHA handling.

TOP 9: ScrapingBee

Cost: from $49/mo Free Trials: 1000 free API calls Platforms Supported: Cloud-based

ScrapingBee is the web scraping API that can handle headless browsers and rotates proxies. Data Extraction is one of the solutions that ScrapingBee designs for getting formatted JSON data from websites. With this web scraping solution, you can extract job posts with CSS or XPath selectors.

TOP 10: Python

Besides applying no-coding tools to scrape job posts, writing a job scraping with Python is still a practical method. Wring scripts for web scraping needs skills in coding, but it can save you money thanks to Python libraries like BeautifulSoup. Here is a sample code to scrape job posts from Indeed using Python:

import requests from bs4 import BeautifulSoup url = 'https://www.indeed.com/jobs?q=data+scientist&limit=50' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') jobs = soup.find_all('div', class_='jobsearch-SerpJobCard') for job in jobs: title = job.find('h2', class_='title').text company = job.find('span', class_='company').text location = job.find('div', class_='location').text print(title) print(company) print(location) print(f'Scrapped {len(jobs)} jobs!')

Wrap Up

The majority of job seekers utilize the Internet as their primary tool to search for job posts, while most companies publish career opportunities online. With job scrapers, you can not only seek jobs but also research companies, submit applications, and join professional networks. Try any tools listed in this post, and we believe you can make the best use of job posts on the Internet!

https://www.octoparse.com/favicon.ico?v1

https://www.octoparse.com/_next/static/media/language.47bec604.svg;https://www.octoparse.com/favicon.ico?v1;https://static.octoparse.com/en/20230404165456810.jpg;https://www.octoparse.com/_next/static/media/share.7631a8f5.png;https://www.octoparse.com/_next/static/media/footer-youtube.468cf48a.svg;https://static.octoparse.com/en/20230420101840203.jpg;https://www.octoparse.com/_next/static/media/footer-twitter.d67c1d91.svg;https://www.octoparse.com/_next/static/media/logo.e87773de.svg;https://www.octoparse.com/_next/static/media/hamburger.601c4c43.svg;https://static.octoparse.com/en/20240322170505224.png;https://static.octoparse.com/en/20230625102302122.jpg;https://static.octoparse.com/en/20230625102617952.png;https://www.octoparse.com/_next/static/media/footer-linkedin.73476f51.svg;https://static.octoparse.com/en/20230625101851354.jpg;https://static.octoparse.com/en/20240205161708876.png;https://static.octoparse.com/en/20230420151009294-scaled.jpg;https://static.octoparse.com/en/20230411181627232-scaled.jpg;https://static.octoparse.com/en/20230420114731744.jpg;https://1.gravatar.com/avatar/ad7d24b685b81873c5d6867e479e718e?s=96&d=mm&r=g;https://www.octoparse.com/_next/static/media/down.bb42fc52.svg;https://0.gravatar.com/avatar/f93b4bb177b67513c1d5b35000202a39?s=96&d=mm&r=g

In the 21st century, usage of online recruiting platforms is on the rise. According to a 2021 Pew Research survey, about 70% of adults in the U.S. have used the Internet to look for a job at some point. Also, a report showed that more than 80% of recruiters shared job openings on company career sites and online job search engines in 2022. Countless job openings are posted on the Internet, making collecting them manually from websites a dirty task. This post will list the  best web scraping tools  for job posts in 2024 to help you extract valuable information from job search websites easily. Cost: Free plan or paid plan from $75/mo Platforms Supported: Desktop-based and browser-based If you’re new to scraping job posts and not good at coding, Octoparse is the perfect tool for you to take the first step. As a no-coding web scraping solution, Octoparse is designed for anyone to turn pages into structured files with clicks. It can also play the role of the AI web scraping assistant with its advanced features, for instance: Along with these features, Octopaese simplifies the web scraping process at every stage. You can schedule job scrapers to run termly and export scraped data automatically. Also, its strengths in IP rotation and CAPTCHA solving will improve your efficiency in pulling job posts from websites. Cost: Apify platform usage from $49/mo + fee for the developers of scrapers you use Free Plan: $5 platform free usage every month Platforms Supported: Cloud-based Apify is a platform for developers to build, deploy, and publish web scraping tools. There is a list of ready-made recruitment web scrapers in the Apify Store. You can apply these scrapers to extract job listings and candidate data from most job search websites, including Indeed, LinkedIn, Crunchbase, Fiverr, etc. Cost: from $56/mo Free Trials: 14 days and no credit card required Platforms Supported: Browser-based PhantomBuster is a web scraping solution with a focus on lead generation. Also, it’s an expert in scraping job posts and leads from LinkedIn. There is a series of preset scrapers (called Phantoms and Flows on PhantonBuster) for users to grab data from different pages on LinkedIn. Its LinkedIn Job Scraper can extract job titles, locations, descriptions, company names, posted at, etc., from LinkedIn job posts and export them in a spreadsheet. Cost: from $999/mo with 5 seats Free Trials: 7 days Platforms Supported: Cloud-based Captain Data is a no-code platform that helps businesses create a database of leads and enrich the database. It offers hundreds of ready-made scrapers, so users don’t have to build them with any maintenance or engineering headaches. On its Automations Library, you can search the keyword “Job” to get scrapers for extracting job posts from LinkedIn and Indeed. Cost: Pay as you go or monthly subscription from $500 Free Trials: Limited by the number of scraped records Platforms Supported: Cloud-based Bright Data provides services for collecting public web data. It can reduce users’ development time with pre-built scrapers. Now, it offers three job scrapers to scrape job data from various job search engines, including LinkedIn, Monter, Indeed, Craigslist, etc., with built-in proxy unblocking infra. Cost: from $49.99/mo Free Trials: free plan with limits Platforms Supported: Desktop-based A team of former Google crawlers built ScrapeStorm, a visual web scraping tool powered by artificial intelligence. While scraping job posts with this tool, you don’t need to write any line of code, and its visual click operation lets you to built job scrapers with only a few clicks on the page. Cost: From $49/mo for web scraper API Free Trials: 7 days Platforms Supported: Cloud-based Scraper API is the core product of Oxylabs. While using Oxylabs web scraping API to scrape job data, you can tailor parameters to meet your needs without any extra fee and get large volumes of data from even the most complex websites. Not surprisingly, Oxylabs is equipped with features like proxy management and CAPTCHA bypass for collecting data at scale. Cost: from $49/mo Free Trials: 5000 free API credits for 7 days Platforms Supported: Desktop-based ScraperAPI is a simple API to scale your data collection. With this API, web scraping is simplified using artificial intelligence. It can, for instance, identify the data you need on the page. Meanwhile, you can scrape job lists from related websites and bypass any sort of anti-scraping system because of its capabilities in proxies and CAPTCHA handling. Cost: from $49/mo Free Trials: 1000 free API calls Platforms Supported: Cloud-based ScrapingBee is the web scraping API that can handle headless browsers and rotates proxies. Data Extraction is one of the solutions that ScrapingBee designs for getting formatted JSON data from websites. With this web scraping solution, you can extract job posts with CSS or XPath selectors. Besides applying no-coding tools to scrape job posts, writing a job scraping with Python is still a practical method. Wring scripts for web scraping needs skills in coding, but it can save you money thanks to Python libraries like BeautifulSoup. Here is a sample code to scrape job posts from Indeed using Python: Wrap Up The majority of job seekers utilize the Internet as their primary tool to search for job posts, while most companies publish career opportunities online. With job scrapers, you can not only seek jobs but also research companies, submit applications, and join professional networks. Try any tools listed in this post, and we believe you can make the best use of job posts on the Internet!