Web scraping is the automated process of extracting data from websites and saving it into a structured format like a spreadsheet, JSON file, or database. Instead of manually copying and pasting information page by page, a web scraper acts like a tireless research assistant, visiting websites, reading the underlying code, and pulling exactly the data you need. How it Works A web scraping tool follows a simple sequence:
Request: The scraper sends an automated HTTP request to the website’s server (just like your browser does when you click a link).
Retrieve & Parse: The server returns the page’s raw HTML, CSS, and JavaScript. The scraper breaks down this underlying code to make it readable.
Extract: Using targeted selectors (like CSS or XPath), the scraper grabs only the specific data you requested (e.g., product prices, email addresses, or headlines).
Structure: It organizes the information into a clean layout and exports it. Common Use Cases
Web scraping is widely used across almost every industry to fuel analytics, market research, and artificial intelligence pipelines: Web Scraping 101: How To Scrape 99% of Sites
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