Web scraping ranges from a 20-line Python script to a sophisticated distributed system. This guide covers the architecture decisions that determine which you need.
A web scraper has three components: the fetcher (what downloads the page), the parser (what extracts the data), and the storage layer (where the data goes). For simple HTML pages: Requests + BeautifulSoup in Python handles fetching and parsing. For JavaScript-rendered pages: Playwright or Puppeteer drive a real browser. For complex scenarios: custom browser automation with proxy rotation.
A one-time scraper is a script. Production scraping infrastructure is a system. Scheduling, error handling, monitoring, and storage turn a script into something you can rely on. This is where custom development adds the most value.
Build it yourself if you have Python or Node skills and the scraping requirement is simple and does not need to be highly reliable. Hire it out when the target is complex, the data is business-critical, or you need ongoing reliability without maintaining it yourself.
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