Scraperr vs deepscrape
Self-hosted website scraping tools compared
Scraperr and deepscrape are self-hosted TypeScript projects for scraping websites and collecting structured data. Scraperr focuses on XPath-based jobs, domain spidering, and a web interface, while deepscrape offers a broader developer service with multiple extraction methods, APIs, and agent integrations.
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.
deepscrape: Scrape Websites and Extract Structured Data
DeepScrape is a self-hosted TypeScript service for scraping and crawling websites, returning clean content or structured data. It combines HTTP fetching, Playwright, optional LLM extraction, and APIs for building data pipelines and agent workflows.
| Scraperr | deepscrape | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | MIT | MIT |
| Stars | 4.9k | 320 |
| Forks | 250 | 26 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- Scraperr uses XPath-based extraction; deepscrape supports CSS selectors and optional schema-based LLM extraction.
- Scraperr provides a web interface for queued jobs, same-domain spidering, media downloads, and Markdown or CSV exports; deepscrape offers APIs for crawling, background jobs, browser sessions, and MCP workflows.
- Scraperr documents Docker and Helm deployment paths; deepscrape may require Redis, Playwright dependencies, and environment configuration.
- Scraperr’s listed use cases include researchers, small teams, and site auditors; deepscrape targets developers building data pipelines, RAG corpora, and agent workflows.
- Both are TypeScript projects with MIT licenses, but Scraperr is archived while deepscrape is not.
- Scraperr has 4.9k stars and 250 forks; deepscrape has 320 stars and 26 forks.
Choose Scraperr if you…
- need XPath-based extraction and a web interface for managing scraping jobs.
- want to spider pages within a domain or download media alongside extracted data.
- prefer documented Docker or Helm deployment paths and can account for the archived status.
Choose deepscrape if you…
- need HTTP and Playwright options for static and JavaScript-rendered pages.
- want APIs, crawling jobs, or MCP and SDK integration for developer workflows.
- need CSS extraction or optional schema-based LLM extraction, and can operate the required self-hosted services.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.