Scrapely

At a glance

• Editor score
  4.0 / 10
• Pricing
  Open source
• Best for
  Python developers extracting repeated page structures
• Paid from
  Free
• Scraping modes
  Python API; command-line tool; interactive prompt; template-based extraction
• Facts checked
  4 Oct 2026

• Where it wins

  • Learns parsers from example pages and expected data
  • Offers Python API, CLI, interactive prompt, and editable templates
  • Handles poorly formed HTML and nested or repeated results

• Where it doesn't

  • Does not render JavaScript pages
  • Documentation positions it as an extraction library, not a crawler framework
  • Community support may be a constraint for teams needing vendor support

Our verdict on Scrapely

Scrapely is an open-source Python library for extracting structured data from HTML pages. A user supplies example pages and the data expected from them, and Scrapely builds a parser for pages with similar structures. It is aimed at Python developers who need to repeat an extraction pattern, especially solo developers and small teams comfortable running software themselves. It is an extraction component rather than a complete crawler framework, so it suits focused parsing work better than end-to-end crawling needs.

Its core distinction is example-driven extraction. The Python API can return structured data, while a command-line tool and interactive prompt support creating and managing scrapers. Templates are editable and can include field annotations; JSON scraper templates support reuse and adjustment. Scrapely also supports nested and repeated extracted objects. Its internal parser handles poorly formed HTML without relying on DOM trees or XPath. This makes it a focused option when page structures are sufficiently similar to examples and extraction logic needs to be managed in templates. Developers seeking visual workflows or a broader crawler ecosystem should compare alternatives designed for those jobs.

Scrapely is self-hosted and listed for Linux, with an open-source pricing model and community support. That keeps deployment under the user's control, but also means teams should be prepared to run and maintain the library rather than expect a hosted scraping service. The important boundary is JavaScript rendering: Scrapely does not provide it, so pages whose content depends on browser-side execution are a poor fit. Choose it for repeated HTML structures and Python-based extraction; choose another tool if rendered pages, a complete crawler framework, or vendor support are central requirements.

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Scrapely pricing

Scrapely fact sheet

Alternatives to Scrapely

• Bright Data Web Scraper APIA broad managed scraping service with a free tier and usage-based entry pricing.8.9
• ApifyA cloud platform for running, scheduling, and integrating web-scraping workflows.8.7
• Zyte APIA flexible scraping API for developers tackling browser-rendered, hard-to-fetch pages.8.5

See all Scrapely alternatives →

Featured on iTechGuides

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 30 Oct 2026 · How we research and update