Scrapling vs Scraperr
Python scraping framework compared with a self-hosted app
Scrapling and Scraperr both help collect and extract website data. Scrapling is a Python framework for writing scrapers and crawlers, while Scraperr offers a self-hosted web interface for managing extraction jobs without writing scraping code.
Scrapling: Scrape and Crawl Websites with Python
Scrapling is a Python framework for extracting data from static and dynamic websites, with selectors that can adapt to page changes and tools for scaling from individual requests to concurrent crawls. It also offers browser-based fetching, a CLI, and an MCP server.
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.
| Scrapling | Scraperr | |
|---|---|---|
| Language | Python | TypeScript |
| License | BSD-3-Clause | MIT |
| Stars | 86.2k | 4.9k |
| Forks | 8.8k | 250 |
| Last analyzed | Oct 8, 2026 | Oct 3, 2026 |
Key differences
- Scrapling combines fetching, parsing, and crawling in a Python framework; Scraperr centers on XPath extraction and job management through a web application.
- Scrapling offers adaptive selectors, CSS and XPath selection, and browser-based fetching; Scraperr provides XPath extraction, same-domain spidering, and media downloads.
- Scrapling is licensed under BSD-3-Clause, while Scraperr is licensed under MIT.
- Scrapling's parser is included in its base installation, with fetchers and spiders available as optional dependencies; Scraperr is deployed on infrastructure managed by the user, with Docker and Helm paths.
- Scrapling is not archived and has 85.5k stars; Scraperr is archived and has 4.9k stars.
Choose Scrapling if you…
- need a Python framework for custom extraction scripts or concurrent crawlers.
- want adaptive selectors that can relocate elements after site structure changes.
- need fetching options such as HTTP clients or browser-based modes, or AI integrations through MCP.
Choose Scraperr if you…
- want to manage XPath extraction and queued jobs through a web interface without writing scrapers.
- need same-domain crawling, media downloads, or Markdown and CSV exports.
- prefer self-hosting with documented Docker or Helm deployment paths.
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.