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Web Scraping With Python
Requests, HTML Parsing, Pagination, Dynamic Pages, Rate Limits, Data Cleaning and Scrapers That Do Not Break
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Your scraper ran perfectly once. Then the site renamed a class, added a second page or started answering with errors, and the data went quietly wrong. This book shows how to build scrapers as small, careful pipelines. You begin with the rules: terms of service, robots files, rate limits, privacy and copyright. Then you fetch pages with sessions, timeouts and retries, read HTML with selectors that survive layout changes, follow pagination without endless loops, find the data behind dynamic pages, clean prices and text into reliable values, and store repeatable snapshots in SQLite. Every example runs against a practice site you start on your own computer, so nothing touches a real server. You finish with fixture tests, sanity checks and a complete weekly run.
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