Scrapling vs deepscrape
Python scraping framework and self-hosted TypeScript service compared
Scrapling and deepscrape both fetch, parse, and crawl websites, and both provide an MCP server for AI workflows. Scrapling is a Python framework with adaptive selectors and spider features, while deepscrape is a self-hosted TypeScript service with APIs, background jobs, and optional schema-based LLM extraction.
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.
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.
| Scrapling | deepscrape | |
|---|---|---|
| Language | Python | TypeScript |
| License | BSD-3-Clause | MIT |
| Stars | 86.2k | 320 |
| Forks | 8.8k | 26 |
| Last analyzed | Oct 8, 2026 | Oct 3, 2026 |
Key differences
- Scrapling uses Python and deepscrape uses TypeScript, so they fit different language ecosystems.
- Scrapling focuses on adaptive selectors that can relocate elements after site changes; deepscrape offers CSS extraction and optional schema-based LLM extraction.
- Scrapling provides a framework for scripts and spiders, while deepscrape is deployed as a self-hosted service with APIs and background jobs using BullMQ and Redis.
- Scrapling is licensed under BSD-3-Clause, while deepscrape is licensed under MIT.
- Scrapling's base installation includes the parser, with fetchers and spiders available through optional dependencies; deepscrape deployment may involve Redis, Playwright dependencies, and environment configuration.
- Scrapling has 85.5k stars and 8.8k forks; deepscrape has 320 stars and 26 forks.
Choose Scrapling if you…
- need a Python framework for extraction scripts or concurrent crawlers.
- want adaptive selectors to help handle changes in website structure.
- prefer spider features such as sessions, throttling, and pause-and-resume support.
Choose deepscrape if you…
- want a self-hosted TypeScript scraping service with APIs and a typed Node.js SDK.
- need background jobs, multi-page crawling, and separate web and worker processes.
- want optional schema-based LLM extraction alongside deterministic CSS extraction.
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.