firecrawl vs deep-searcher
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | deep-searcher | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | Open Source Deep Research Alternative to Reason and Search on Private Data |
| Stars | 147k | 7.9k |
| Forks | 8.5k | 767 |
| Open issues | 387 | 53 |
| Language | TypeScript | Python |
| License | AGPL-3.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Nov 19, 2025 |
| Categories | Data & Retrieval, AI Agents | Vector Databases, AI Agents, Data & Retrieval, LLM Frameworks, Inference & Serving |
firecrawl
Firecrawl is an open-source web context API aimed at finding sources, extracting content, and converting it into clean Markdown or structured data. It focuses on reliability, speed, and LLM-ready output formats.
TypeScript
deep-searcher
DeepSearcher leverages advanced LLMs and Vector Databases for private data search, evaluation, and reasoning. It is ideal for enterprise knowledge management and intelligent Q&A systems.
Python