Practical guides covering everything from your first HTTP request to production-grade scrapers that bypass modern anti-bot defences and scale to millions of pages.
Four structured guides covering every aspect of Python web scraping.
Everything from installing Python and making HTTP requests to selecting elements with XPath and CSS, parsing HTML with BeautifulSoup, getting past login forms, handling pagination, and managing sessions.
Playwright and Selenium for dynamic sites, proxy rotation, TLS and browser fingerprinting, Cloudflare and Akamai challenges, and reading the JSON APIs behind mobile apps.
Production engineering: Scrapy, asyncio and HTTPX, distributed crawling with Celery and Redis, caching and incremental crawls, cloud deployment, monitoring and alerting, and durable storage.
Skip brittle HTML scraping: pull structured data from JSON-LD, reverse-engineer private JSON APIs, query GraphQL endpoints, parse JSON and XML, then clean and validate what you collected.
Six areas added in the latest expansion, each with step-by-step guides underneath.
Selectors that survive a redesign, and the traversals CSS cannot express.
Logging in with requests, CSRF tokens, and bearer-token sessions.
The versioned JSON API behind an app is often the cleanest source available.
Conditional requests, validator stores, and not re-fetching what has not changed.
Scrapers rarely crash — they degrade. Catch the silent failures.
Normalise, validate, and reject bad rows before they reach your database.