Copyrighted content – since it's someone's intellectual property, it's protected by law and you can't just reuse it. Make sure that you're not messing with any: While the act of scraping is legal, the data you may extract can be illegal to use. You will learn how to inspect a website to prepare for scraping, extract specific data using BeautifulSoup, wait for JavaScript rendering using Selenium, and save everything in a new JSON or CSV file.īut first, I should warn you about the legality of web scraping. This article’s purpose is to teach you how to create a web scraper in Python. So knowing how to build a web scraper can come in handy. 
While you can theoretically do data extraction manually, the vast contents of the internet makes this approach unrealistic in many cases.
It has many use cases, like getting data for a machine learning project, creating a price comparison tool, or any other innovative idea that requires an immense amount of data. Web scraping is the process of extracting specific data from the internet automatically.
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