What Is Web Scraping and How Does It Work?

Web scraping turns the web into a database. Instead of copying information by hand, a program collects it automatically at scale. Here's how it works and why proxies are part of the picture.

How web scraping works

A scraper follows four steps: it sends an HTTP request to a page, downloads the HTML response, parses that HTML to locate the data you want, and stores the result in a structured format like CSV or JSON. Repeat across many pages and you have a dataset.

What people scrape

• Product prices and stock for repricing and monitoring
• Search engine results for SEO and research
• Reviews and ratings for sentiment analysis
• Real estate, travel and job listings
• Training and grounding data for AI models

The tools

Popular stacks include Python with requests and BeautifulSoup for simple pages, and headless browsers like Puppeteer or Playwright for JavaScript-heavy sites — see our Puppeteer & Playwright guide. For Python rotation patterns, follow the Python web scraping guide.

Why scraping needs proxies

Send too many requests from one IP and sites rate-limit or ban you. Residential proxies spread requests across many real IPs so collection keeps flowing, and they resist the blocks that stop datacenter IPs. Choosing the right pool matters — read how to choose the right proxy for web scraping.

Getting started

Start small: pick a target, inspect its HTML, extract a few fields, then add rotation and pacing as you scale. Our guide on avoiding proxy blocks keeps your success rate high as volume grows.