Octoparse Web Scraping Blog

Articles about web scraping, data extraction,web scraping tools,data analysis,
big data other related knowledge.

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  • Data Mining VS Data Extraction: What's the Difference?

    Thursday, May 28, 2020 Knowledge

    Data mining is often misunderstood as extracting and obtaining data, but it is actually way more complicated than that. In this post, let’s find out t...

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  • 10 Simple Excel Functions for Data Analysis

    Thursday, May 07, 2020 Knowledge

    Excel is one of the must-have data analysis tools in the market. To this day it provides more than 450 functions, but actually knowing how to use a fe...

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  • Competitor Monitoring for Price Strategy and Product Planning

    Thursday, April 30, 2020 Knowledge

    Monitoring competitors’ product listings will give you a wealth of valuable information about your competitors—perhaps a well-funded rival is doing pe...

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  • How to Become a Data Journalist

    Thursday, April 23, 2020 Knowledge

    More often than not, data journalists need to equip themselves with technical skills to be able to see through things and deliver newsworthy informati...

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  • What Is XPath and How to Use It in Octoparse?

    Tuesday, April 14, 2020 Knowledge

    XPath plays an important role when you use Octoparse to scrape data. Rewriting XPath can help you deal with missing pages, missing data or duplicates,...

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  • Scraping Data from Website to Excel (Tutorial 2020)

    Saturday, February 01, 2020 Knowledge

    In this article, I will introduce several ways that save your time and energy to scrape web data into Excel.

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  • 10 Best Email Scraping Tools for Sales Prospecting in 2020

    Monday, October 28, 2019 Knowledge

    Email scraping can help you collect email addresses shown publicly using a bot. What makes this great is that you have control over where to get the e...

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  • How to Turn Raw Data into Information

    Tuesday, October 01, 2019 Knowledge

    Raw data is also called primary data. It is collected from one source that needs to be processed to make insights. In business, data can be anywhere. ...

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