Put simply,leadsare people who have shown interest in your products or service.
Every sale starts with a lead.
When businesses want to make more profits, chances are they need tokeep generating more leads.
But, it's not all that easy!
In fact, 61% of B2B marketers think generating high-quality leads is one of their biggest challenges (IDG) and 68% of businesses report struggling with lead generation. (CSO Insights) There are literally hundreds ofpostsabout why lead generation is important and I'll bet you already know about some of theold school ways to get leads- content marketing, email, social media, PPC ads and more. Most of them work nicely (forget about buying a list of prospectives), but they do take a great deal of time and investment.
What if I tell you there's one trick that works wonders and can get you thousands of leads almost instantly?
Web Scraping for Lead Generation
The internet has changed the way we do business. Period. In fact, people generate 2.5 quintillion bytes of data each day (IBM, 2016) and more than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025. (Forbes, 2019)
While these numbers may sound astounding, it's not hard to believe how data can be leveraged for growing businesses.
Consider this scenario:
Jerry runs a startup company that sells auto parts to auto repair shops. In order to reach out to his prospective customers and makes more sales, he needs to develop a pipeline with sales qualify leads. He needs details, such as the name of the auto repair shop, the street address, the contact number, the emails, and other basic information. Jerry is smart and knows that he could get this information online. He googled "Auto repair shops in the US" and soon found out there are online directories like Yelp and Yellowpage which has exactly the data he needs.
But wait, how can Jerry grab all that information from the webpages?
He surely does not want to do it the hard way (copy and pasting).
Enter Web Scraping
Web scraping is the process of fetching web data and turning it into structured data that can be easily used/analyzed. There are many ways to approach web scraping -write a script,hire a scraping serviceor use a coding-free automatic web scraper.
1. Click the plus sign under Advanced Mode to start a new project.
2. Now we want to first find the webpage URL to scrape from. Enter "www.yellowpages.com" in your everyday browser and search for "Auto Repair Shop" near "New York".
3. Copy and paste the URL of the search result page (https://www.yellowpages.com/search?search_terms=auto+repair+shop;geo_location_terms=New+York+City%2C+NY ) to Octoparse. The webpage should then be loaded in Octoparse's built-in browser.
4. Click on the first auto shop in the list, it will turn green, indicating that's been selected.
5. The rest of the business names in the list will turn red, which indicates they have been identified as similar elements. To get all the business names selected, simply click on "Select all" on the "Action Tips" panel. Upon selected, all business names will be highlighted in green.
6. We want to click into each single business page to capture the data we need, so click "Loop click each URL" on the "Action Tips" panel.
7. Octoparse will now open the detail page for the first business on the list. Let's go ahead and extract the data we need.
8. Click the name of the business. Select "Extract of the selected element."
9. Repeat the same steps for extracting address, website, and other desired information from the page. Octoparse will get the same information from each business page automatically.
Dealing with pagination
We obviously don't want to scrape just the first page but all pages.
1. Go back to the list page by clicking on "Go to webpage" of the workflow.
2. Once the list page's loaded, scroll down to the bottom of the page and click on the next page button.
3. Select "Loop click next page" on the "Action Tips" panel.
4. Just one last tweak - drag the first loop item to the inside of the newly created pagination loop. This is to make sure we'll loop through all businesses listed on the page before moving on to the next page.
Now we are ready to start getting some data. Click , select "Local extraction" and Octoparse will collect the information needed into a CSV/Excel spreadsheet.
Scraping Qualified leads at a Scale
Leads are important, but you know what's more important?
Using the same method, you can scrape social platforms likeTwitter,Instagram, different kinds of directories likeYelpandYellowpage, real estate portals like Zillow andRealtor.com, or recruitment portals likeIndeed. The possibilities are endless and the best part isyou get to decide where to get the leads from, which is much more likely to give you qualified leads - leads to become successful customers.
This is not the end...
Using Octoparse'stask scheduling feature, you can repeat the scraping job every day/week/month to keep your lead database fresh and up-to-date.
Moreover, there are some other ways to use web scraper for lead generation