Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIsby@scrapingdog
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Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIs

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Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIs. In this post we are going to scrape websites to gather data via the API World's top 300 APIs of year. The major reason of doing web scraping is it saves time and avoid manual data gathering and also allows you to have all the data in a structured form. The data is stored in a table, it will be straight forward to scrape with just a few lines of code. For requesting an API I will use requests.get( 'https://api.com/scrape?api_key=<your-api-key>&url=https://://api-300-top-industry-innovations/'

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@scrapingdog

manthan

Founder of makcorps.com, scrapingdog.com & flightapi.io

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