sitefetch vs deepscrape

Website content collection tools compared

sitefetch and deepscrape both collect website content for downstream text and data workflows. sitefetch focuses on saving readable pages to a text file, while deepscrape is a self-hosted service with broader extraction, crawling, and agent-workflow capabilities.

sitefetchdeepscrape
LanguageTypeScriptTypeScript
LicenseMITMIT
Stars1.7k320
Forks16326
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • sitefetch is a CLI and TypeScript library; deepscrape is a self-hosted TypeScript service with APIs and a typed Node.js SDK.
  • sitefetch uses Mozilla Readability and optional CSS selectors to produce text files; deepscrape supports multiple output formats and CSS- or schema-based LLM extraction.
  • sitefetch offers configurable concurrency and URL path matching; deepscrape adds URL discovery, filtering, progress reporting, and asynchronous crawl jobs.
  • deepscrape supports HTTP fetching and Playwright for JavaScript-heavy pages, while sitefetch is described as a website content collection tool using Readability.
  • deepscrape may require Redis, Playwright dependencies, and environment configuration; sitefetch is used through its CLI or TypeScript API.
  • Both use TypeScript and MIT licenses; sitefetch has 1.7k stars and 163 forks, compared with deepscrape's 320 stars and 26 forks.

Choose sitefetch if you…

  • need a local text file of readable content from a website.
  • want to collect selected site sections using URL path patterns.
  • prefer a CLI or TypeScript library for content collection without setting up a self-hosted service.
Read the sitefetch analysis →

Choose deepscrape if you…

  • need structured records, multiple output formats, or optional schema-based LLM extraction.
  • want Playwright support, asynchronous crawling, or APIs for agent workflows.
  • can manage a self-hosted service and its deployment requirements.
Read the deepscrape analysis →

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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.