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Web scraping + research toolkit for AI agents: scrape, crawl, monitor URLs with anti-bot bypass.
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Web scraping + research toolkit for AI agents: scrape, crawl, monitor URLs with anti-bot bypass.
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
5 files analyzed ยท 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sanggonboy-pyrecrawl": {
"args": [
"pyrecrawl"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
๐ฅ PyreCrawl โ Web Browsing Superpowers for Your AI Agent
One command gives any AI agent the whole web. Scrape, extract, crawl, map, and search โ self-hosted, no API keys, no rate limits, no subscription.
PyreCrawl speaks MCP (Model Context Protocol), the standard tool interface for Claude, Cursor, VS Code, Codex, OpenCode, Hermes, and any MCP-compatible agent.
A smart auto-fallback ladder always picks the cheapest method that succeeds:
fast HTTP
โ (403/503/Cloudflare challenge or empty body)
โผ
stealth browser (real Chromium + Cloudflare solver)
โ (still blocked, or the page needs full JS rendering)
โผ
deep processing (LLM-ready markdown, citations, structured extraction)
โก Tools exposed
| Tool | What it does |
|---|---|
scrape(url, prefer="auto") | Single URL โ LLM-ready markdown |
extract(url, schema) | Scrape + structured extraction (JsonCss schema) |
map_site(root, include_pattern=None, limit=200) | Enumerate all internal URLs |
crawl(root, max_pages=5, prefer="auto", include_paths=None, exclude_paths=None, max_depth=0) | Multi-page crawl with path filters + true BFS depth |
document(url) | PDF/DOCX/PPTX โ markdown (no browser, optional [docs] extras) |
search(query, limit=10) | Web search via DuckDuckGo HTML (no API key) |
search_papers(query, limit=8, source="arxiv", category=None) | Academic search via arXiv + Crossref (no API key) โ feed pdf_url into document |
batch_scrape(urls[], ...) | Many URLs in ONE call โ parallel, deduped, cache-aware |
deep_research(query, limit=5, scrape_top=3) | Search โ evidence pack with [n] citations (no LLM synthesis โ your agent does that) |
monitor(url, action, css_selector=None) | Change detection with persisted snapshots + unified diff |
session(session, action, ...) | Persistent browser session (cookies kept) โ login walls, multi-step flows, screenshots |
cache(action) | Inspect/clear/enable/disable the HTTP response cache |
health() | Versions + import sanity check |
MCP Resources (read-only state without a tool call):
pyrecrawl://cache/stats ยท pyrecrawl://sessions ยท pyrecrawl://monitors
MCP Prompts (ready-made playbooks): research(topic) ยท rag_ingest(site) ยท watch_page(url)
Env flags
| Variable | Default | Effect |
|---|---|---|
PYRECRAWL_CACHE | off | 1 = in-memory LRU (128 pages), or a directory path (reserved for disk mode) |
PYRECRAWL_CACHE_TTL | 900 | Cache entry lifetime in seconds |
PYRECRAWL_MONITOR_DIR | ~/.pyrecrawl/monitors | Where monitor snapshots persist |
PYRECRAWL_NO_TELEMETRY | off | 1 = disable the anonymous startup ping (also honors DO_NOT_TRACK=1) |
prefer options: "auto" (default ladder) ยท "fast" (HTTP only) ยท "stealth" (CF bypass) ยท "llm" (deep processing).
๐ Install & Use (one-liner)
1. Install
UV (recommended โ one command, zero Python setup)
UV is a fast Python package manager that handles Python itself โ no need to install Python separately. Get it once:
# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Then run PyreCrawl directly โ no venv, no pip install, no Python download:
uvx pyrecrawl@latest
Or via uv tool install (persistent, recommended for regular use)
uv tool install pyrecrawl
Or via pipx (alternative)
pipx install pyrecrawl
Or via pip into a venv
pip install pyrecrawl
2. One-time browser engines
pyrecrawl setup
This installs Chromium + stealth browser engines (~2 min, one-time).
3. Register with your AI agent
# Auto-detect installed agents and write their MCP configs
pyrecrawl install
# Or target specific agents
pyrecrawl install claude-desktop cursor
# Dry-run to preview what would change
pyrecrawl install --dry-run
Supported agents: claude-desktop, claude-code, cursor, vscode, codex, opencode, hermes.
4. Start chatting
After installing + registering, restart your agent (or start a new session). Then ask:
"Scrape https://example.com and summarize it."
Available tools:
| Tool | What it does |
|---|---|
scrape | Fetch a single URL โ markdown (auto-escalates past Cloudflare) |
extract | Scrape + structured extraction via CSS schema โ JSON |
map_site | Enumerate all internal URLs from a root |
crawl | Multi-page crawl: discover + scrape in bulk |
batch_scrape | Fetch many URLs in one parallel call |
search | Web search via DuckDuckGo with anti-bot bypass |
search_papers | Academic paper search (arXiv / Crossref) |
deep_research | Search + scrape + citations in one call โ primary research tool |
document | Extract text from PDF/DOCX/PPTX URLs |
monitor | Track a URL for content changes over time |
session | Persistent browser session for login walls |
cache | Inspect or clear the response cache |
health | Verify engine availability + version |
Plus 3 guided prompts: research, rag_ingest, watch_page.
Quick examples
Ask your agent naturally โ no special syntax needed:
| You say | Agent uses |
|---|---|
| "Scrape https://example.com and summarize it" | scrape โ returns markdown โ agent summarizes |
| "Research Rust memory safety vulnerabilities" | deep_research โ search + scrape + citations |
| "Deep research on AI regulation worldwide" | deep_research(iterations=3) โ multi-pass with refined queries |
| "Extract all product names and prices from this page" | extract โ CSS schema โ structured JSON |
| "Crawl https://docs.example.com and give me an overview" | crawl โ multi-page โ summary |
| "Monitor this page for price changes" | monitor โ baseline snapshot โ periodic diff |
| "Find papers about transformer attention" | search_papers โ arXiv results |
| "What's the current cache hit rate?" | cache โ stats |
๐ง Skills โ Maximize Your Agent's Research Quality
PyreCrawl tools give your agent hands (scrape, crawl, search). But the agent still needs a brain โ instructions on when to use which tool, how to chain research passes, and what anti-hallucination rules to follow.
That's what PyreCrawl Skills provides.
| MCP Tools (this repo) | Skills (pyrecrawl-skills) | |
|---|---|---|
| Role | Execute web operations | Tell the agent how to use them |
| Analogy | Hands | Brain |
| Example | deep_research(query, iterations=3) | "Run 3 passes, check gaps after each, cite everything" |
| Required? | Yes (the engine) | Optional (but recommended for research quality) |
Quick setup:
# 1. Install the tools (you already have this)
uvx pyrecrawl@latest
# 2. Add the research skill to your project
git clone https://github.com/SanggonBoy/pyrecrawl-skills.git /tmp/pyrecrawl-skills
cp /tmp/pyrecrawl-skills/pyrecrawl-research/SKILL.md ./CLAUDE.md # or .cursorrules / AGENTS.md
Without skills: Your agent has powerful tools but improvises usage. With skills: Your agent follows a proven research protocol with anti-hallucination guardrails.
๐ Manual config (if pyrecrawl install doesn't match your setup)
Claude Desktop
Config file
- Linux:
~/.config/Claude/claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%AppData%\Claude\claude_desktop_config.json
{
"mcpServers": {
"pyrecrawl": {
"command": "uvx",
"args": ["--from", "pyrecrawl", "pyrecrawl", "serve"]
}
}
}
Claude Code
Config file: project-scoped .mcp.json
{
"mcpServers": {
"pyrecrawl": {
"command": "uvx",
"args": ["--from", "pyrecrawl", "pyrecrawl", "serve"]
}
}
}
Cursor
Config file: ~/.cursor/mcp.json
{
"mcpServers": {
"pyrecrawl": {
"command": "uvx",
"args": ["--from", "pyrecrawl", "pyrecrawl", "serve"]
}
}
}
VS Code / Copilot
Config file: .vscode/mcp.json (project-scoped)
{
"servers": {
"pyrecrawl": {
"command": "uvx",
"args": ["--from", "pyrecrawl", "pyrecrawl", "serve"],
"type": "stdio"
}
}
}
Codex CLI
Config file: ~/.codex/config.toml
[mcp_servers.pyrecrawl]
command = "uvx"
args = ["--from", "pyrecrawl", "pyrecrawl", "serve"]
OpenCode
Config file: ~/.config/opencode/opencode.json
{
"mcp": {
"pyrecrawl": {
"type": "local",
"command": ["uvx", "--from", "pyrecrawl", "pyrecrawl", "serve"],
"enabled": true
}
}
}
Hermes
Config file
- Linux/macOS:
~/.hermes/config.yaml - Windows:
%LocalAppData%\hermes\config.yaml
mcp_servers:
pyrecrawl:
command: uvx
args:
- --from
- pyrecrawl
- pyrecrawl
- serve
enabled: true
Windows note:
uvxmust be on PATH. If not, use the full path touvx.exe(e.g.C:\Users\<you>\AppData\Local\hermes\bin\uvx.exe).
๐ง How the ladder chooses
PyreCrawl runs each request through three tiers, stopping at the first one that returns a complete, LLM-ready result:
| Concern | Fast tier | Stealth tier | Deep tier |
|---|---|---|---|
| Static HTML page | โ ~200ms | โ | โ |
| Cloudflare-protected | โ | โ Turnstile solver | โ |
| JS-heavy SPA | โ | โ real Chromium | โ |
Live DOM data (input .value, JS state) | โ | โ
js param | โ |
| LLM-ready markdown + citations | โ | โ | โ BM25, fit-markdown |
| Structured extraction (CSS schema) | โ | โ | โ |
| Deep crawl (BFS/DFS/BestFirst) | โ | โ | โ adaptive |
The agent never has to pick. prefer="auto" does it every call.
Live DOM data with js and wait_for
Some sites keep the data you want in a DOM property (e.g. an <input>'s .value)
that JS writes after an XHR โ it never appears in the serialized HTML. The
scrape tool accepts two stealth-tier params for exactly this:
{
"url": "https://temp-mail.org/id",
"prefer": "stealth",
"wait_for": "document.getElementById('mail').value.includes('@')",
"js": "document.getElementById('mail').value"
}
wait_forโ a JS predicate expression polled until truthy (bounded bytimeout). Use it instead of guessing a sleep for anything that arrives asynchronously.jsโ a JS expression evaluated once the page settles; the value comes back inmeta.js_result. Errors are captured inmeta.js_error(the page result is still returned, never a crash).
๐ Compared to Firecrawl (hosted)
| Firecrawl | PyreCrawl | |
|---|---|---|
| Cost | Free 1k/mo, then $16โ333/mo | Free, self-hosted |
| Local LLM support | โ | โ Ollama / any LLM |
| Cloudflare bypass | โ (Fire-Engine, paid) | โ (free, built-in) |
| Markdown + BM25 | โ | โ |
| Self-host | โ | โ |
| Academic paper search | โ | โ
arXiv + Crossref (search_papers) |
| Hosted search API | โ /search | โ ๏ธ DuckDuckGo HTML + arXiv/Crossref (no key) |
๐ง Development
git clone https://github.com/SanggonBoy/PyreCrawl.git
cd PyreCrawl
uv venv --python 3.12 .venv
source .venv/Scripts/activate # Windows; or .venv/bin/activate on macOS/Linux
uv pip install -e ".[dev]"
python -m playwright install chromium
scrapling install
Run tests
python scripts/selfcheck.py # real-network smoke test (13 tools + engines)
python scripts/probe_stdio.py # stdio JSON-RPC probe
python scripts/test_ladder_bug.py # SPA-shell ladder escalation regression
python scripts/test_js_eval.py # stealth js/wait_for params regression
python scripts/test_scope_selector.py # crawl css_selector/max_depth wiring
python scripts/test_link_harvest.py # map/BFS link purity regression
๐ฆ Publish
Maintainers only:
git tag vX.Y.Z
git push origin vX.Y.Z
GitHub Actions builds + uploads to PyPI via trusted publishing.
๐ Stay up to date
PyreCrawl checks PyPI on every startup and reports the latest version โ your
MCP agent sees this automatically via the health() tool response and can
notify you inline.
To check manually:
pyrecrawl version
To upgrade:
pyrecrawl update # runs: uv tool upgrade pyrecrawl
Get notified of new releases: click Watch โ Releases only at the GitHub repo to receive email notifications when a new version is published.
[!NOTE] PyreCrawl sends one anonymous usage ping per 24 h at server startup โ see Privacy for exactly what's sent and how to opt out.
๐ Privacy โ anonymous usage ping
PyreCrawl phones home once per 24 h with a tiny anonymous ping when the MCP server starts, so we can count real users (DAU/MAU) instead of raw downloads.
| Sent (4 fields, ~100 bytes) | Never sent |
|---|---|
| Hashed machine id (SHA-256 of hostname+MAC โ not reversible) | Your IP (not stored) |
| PyreCrawl version | Any URL you scrape |
| Python version | Any page content or search queries |
OS family (windows / linux / darwin) | Anything else |
Client code: src/pyrecrawl/telemetry.py (~90 lines, stdlib only) ยท
Collector: workers/telemetry/ โ a self-hostable Cloudflare Worker + D1, no third-party analytics service.
Opt out any time:
export PYRECRAWL_NO_TELEMETRY=1 # or the industry-standard DO_NOT_TRACK=1
๐ Uninstall
# Remove from all agent configs
pyrecrawl uninstall
# Remove the package
uv tool uninstall pyrecrawl
๐ก๏ธ License
MIT โ see LICENSE.
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