Scraperr vs firecrawl
Website scraping tools compared
Scraperr and firecrawl both collect and extract data from websites. Scraperr focuses on self-hosted, XPath-based scraping managed through a web interface, while firecrawl offers search, crawling, and extraction through an API or hosted service, including workflows for AI applications.
Scraperr: Scrape Websites Without Writing Code
Scraperr is a self-hosted web scraping application for collecting structured data from websites without writing scraping code. It supports XPath extraction, domain spidering, queued jobs, media downloads, and data export.
firecrawl: Search, Scrape, and Crawl the Web for AI
Firecrawl turns web pages and sites into content that AI applications can use, including Markdown and structured data. It suits developers building agents or data pipelines that need web search, extraction, and crawling through an API or self-hosted deployment.
| Scraperr | firecrawl | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | MIT | AGPL-3.0 |
| Stars | 4.9k | 188k |
| Forks | 250 | 10k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- Scraperr centers on XPath extraction, same-domain spidering, queued jobs, and media downloads; firecrawl also supports web search, site mapping, batch scraping, and page interactions before extraction.
- Scraperr presents results in a structured table and exports Markdown or CSV; firecrawl can return formats including Markdown, HTML, screenshots, and structured JSON.
- Scraperr documents Docker and Helm deployment paths and is self-hosted; firecrawl offers a hosted service as well as self-hosting.
- Scraperr is MIT-licensed, while firecrawl’s main codebase is AGPL-3.0-licensed; firecrawl notes that some SDKs and UI components use MIT licenses.
- Both projects use TypeScript, but Scraperr is archived and firecrawl is not.
Choose Scraperr if you…
- need XPath-based extraction and same-domain crawling managed through a web interface.
- want to run a self-hosted scraper with documented Docker or Helm deployment paths.
- prefer an MIT-licensed project for collecting and exporting website data.
Choose firecrawl if you…
- need web search, site mapping, batch scraping, or page interactions as part of data collection.
- are building AI applications or pipelines that use web content through an API or hosted service.
- want a project that is not archived and can be used as a hosted service or self-hosted.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.