Web Scraping
The automated extraction of data from websites using bots or scripts, often requiring proxies to avoid IP bans.
Web scraping is the automated extraction of data from websites. It's used for price monitoring, SEO analysis, market research, training AI models, aggregating content, and many other use cases.
Large-scale scraping requires proxies because websites block IPs that make too many requests. Using a pool of rotating proxies distributes your requests across thousands of different IPs, making your scraping undetectable.
Popular tools: Scrapy, Playwright, Puppeteer, Selenium, BeautifulSoup.
How it works
A scraping pipeline has three layers: a fetcher that issues HTTP requests, a parser that extracts data from the response, and an orchestrator that schedules and retries work. Without proxies, every request comes from the same IP and the target site rate-limits or blocks after a few hundred hits. With a rotating proxy pool in front of the fetcher, every request gets a fresh IP from a pool of thousands, and per-IP rate limits stop being the bottleneck.
The harder layer is fingerprinting. Cloudflare, DataDome and PerimeterX inspect TLS handshake (JA3, JA4), HTTP/2 frames, and JavaScript runtime to decide if the client is a real browser. Pairing residential proxies with a fingerprint-resistant client (curl-impersonate for raw HTTP, undetected-chromedriver or playwright-stealth for browsers) solves both layers. Murphy's residential gateway handles the network layer; the client handles the browser layer.
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