fastCRW
fastCRW provides a web-data API for AI agents to search, scrape, crawl, map, extract, monitor and parse web content. Its open-source Rust engine is designed to provide production-oriented, reliable live-web access through a managed cloud or self-hosted deployment.
At a Glance
- AI-agent and LLM application developers
- RAG and vector-search teams
- Data and ETL engineers
- ML teams curating training datasets
- +3 more
AI Tools by fastCRW
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fastCRW
Web Scraping API for AI Agents
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Products & Services
AGPL-3.0 open-source web-scraping and crawling engine implemented as a single static Rust binary. It supports scrape, crawl, map, search, extract and PDF parsing workflows and can be self-hosted.
Managed usage-based cloud API exposing Firecrawl-compatible REST endpoints for scrape, crawl, map, search and extract, with managed proxy/browser infrastructure and no infrastructure to operate.
Official MCP server distributed through npm, exposing search, scrape, crawl, map and extract to MCP-compatible AI clients and agent environments.
Python and Node.js clients plus integrations and packages for CrewAI, LangChain, n8n, OpenClaw, Claude Code, Cursor, Dify and other agent and automation platforms.
Market Position
fastCRW positions itself as an open-core, self-hostable, Rust-native and Firecrawl-compatible alternative to hosted web-data APIs such as Firecrawl, Tavily and Exa, and to open-source crawlers such as Crawl4AI. Its differentiation is a small single-binary deployment, agent-native MCP support, usage-based managed cloud and published recall/latency benchmarks; its stated gaps include no persistent browser sessions and no screenshot output on the core scrape surface.
Leadership
Executive Team
Behram Çelen
Board member, Nanofy OÜ
Listed by Nanofy OÜ as its board member; Nanofy is the legal operator of fastCRW.
Recep Ahmet Sarıtekin
Maintainer/developer associated with fastCRW
The GitHub account that owns the core repository and is associated with the fastcrw organization identifies him as a Machine Learning Engineer/Musician and describes experience in LLMs, agent frameworks, generative AI, scalable AI systems and TensorFlow Google Summer of Code.
Board of Directors
Founding Story
Nanofy OÜ describes itself as an independent software company that designs, engineers and operates its own products without agency or outsourcing work. fastCRW was created as an open-source, agent-focused alternative to conventional scraping infrastructure: a Firecrawl-compatible API backed by a small Rust binary that can be self-hosted or used through managed cloud services.
Business Model
Revenue Model
Usage-based managed-cloud subscriptions and credit top-ups. Scrape, crawl and map consume one credit per page; search consumes credits per search; structured extraction is metered by scrape credits plus managed-LLM token usage. The AGPL-3.0 engine is free to self-host, with a commercial license available for private deployments without copyleft concerns.
Pricing Tiers
500 credits to start, with up to 500 additional credits from onboarding tasks; no credit card.
5,000 credits/month, 10 concurrent requests; launch price shown on the official pricing page.
100,000 credits/month, 50 concurrent requests; launch price shown on the official pricing page.
500,000 credits/month, 100 concurrent requests.
1,000,000 credits/month, 150 concurrent requests.
For 1M+ credits/month, with custom concurrency, dedicated infrastructure and premier support with SLA.
Target Markets
- AI-agent and LLM application developers
- RAG and vector-search teams
- Data and ETL engineers
- ML teams curating training datasets
- Market-intelligence, research and monitoring teams
- Developers needing self-hosted or privacy-sensitive web data infrastructure
- RAG pipelines and AI chat knowledge ingestion
- Deep-research and browsing agents
- Structured extraction from websites
- LLM and ML training-data and JSONL dataset curation
- Competitor, price and brand monitoring
- Market research and news aggregation