The web scraping process consists of several important steps . First, a data source is selected, specifying the websites from which information will be collected . Then, appropriate tools are used to obtain the HTML code of the page and parse the data to extract important information, such as product names, prices, and email addresses. Finally, the results are saved in a database, spreadsheet, or other format , depending on the user's needs.
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Are you interested in similar tools and solutions? Grab our article! Learn more mom database about scraping and compare it with an equally good solution, data mining.
Web scraping tools, your practical help
There are many tools and libraries available on the market that make web scraping easier. Depending on the user's level of advancement, you can use:
For developers:
BeautifulSoup – allows for easy HTML parsing and data extraction,
Scrapy – an efficient framework for scraping and crawling websites,
Selenium – allows you to automate interactions with dynamic websites.
For users with no programming knowledge:
Octoparse – an intuitive tool with a wizard for quick data collection,
ParseHub – allows you to extract information even from dynamic pages,
Import.io – a comprehensive online solution for data analysis and acquisition.
Artificial intelligence can also be your irreplaceable help with web scraping . Read the article and learn how to approach the solution with AI .