PyreCrawl

io.github.SanggonBoyPublished by GitHub account SanggonBoyv0.8.1Updated Oct 24, 2026

Web scraping + research toolkit for AI agents: scrape, crawl, monitor URLs with anti-bot bypass.

Overview

AI-generated overview

Self-hosted web scraping and research toolkit that lets an AI assistant scrape, crawl, search, extract and monitor web pages without API keys.

What you can do
Scrape single URLs into LLM-ready markdown, with automatic escalation from plain HTTP to a stealth browser to bypass bot protection and render JavaScript pages, and evaluate JS expressions or wait conditions on the live page. Extract structured data from a page using a CSS schema, and convert PDF, DOCX and PPTX documents to markdown. Map a site's internal URLs and crawl multiple pages with path filters and depth limits, or batch-scrape many URLs in one parallel call. Search the web via DuckDuckGo and academic papers via arXiv and Crossref, and run a deep research pass that returns an evidence pack with numbered citations. Monitor a URL for content changes with persisted snapshots and diffs,,
When to use it
Useful when an assistant needs to read or collect content from live websites, especially pages behind Cloudflare or heavy JavaScript, or when you want repeatable research with citations, bulk page collection for a knowledge base, or change tracking on a page. It suits users who prefer a self-hosted tool over a paid hosted scraping API.
Requirements
Runs locally as a stdio process, launched with uvx from the pyrecrawl PyPI package; uv must be installed and on PATH. A one-time setup command installs Chromium and stealth browser engines. No API keys or accounts are required. Network access is needed for scraping, search and the startup version check.
Before you install
The server sends one anonymous usage ping per 24 hours at startup, including a hashed machine identifier, version and OS family; it can be disabled with PYRECRAWL_NO_TELEMETRY or DO_NOT_TRACK. Scraping and crawling fetch third-party pages and may conflict with site terms or robots rules. The session tool keeps cookies and can act behind login walls, and monitor writes snapshots to a local directory. The js and wait_for parameters run JavaScript expressions in the page.

Installation

In SourceWeft

  1. Open PyreCrawl in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

🔥 PyreCrawl — Web Browsing Superpowers for Your AI Agent

[License: MIT] [MCP] [Python 3.10+] [PyPI] [GitHub stars] [Downloads / 30d] [Active users / 30d]

One command gives any AI agent the whole web. Scrape, extract, crawl, map, and search — 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    │  (403/503/Cloudflare challenge or empty body)    ▼stealth browser (real Chromium + Cloudflare solver)    │  (still blocked, or the page needs full JS rendering)    ▼deep processing (LLM-ready markdown, citations, structured extraction)

⚡ Tools exposed

ToolWhat it does
scrape(url, prefer="auto")Single URL → 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 → 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) — feed pdf_url into document
batch_scrape(urls[], ...)Many URLs in ONE call — parallel, deduped, cache-aware
deep_research(query, limit=5, scrape_top=3)Search → evidence pack with [n] citations (no LLM synthesis — 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) — 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 · pyrecrawl://sessions · pyrecrawl://monitors

MCP Prompts (ready-made playbooks): research(topic) · rag_ingest(site) · watch_page(url)

Env flags

VariableDefaultEffect
PYRECRAWL_CACHEoff1 = in-memory LRU (128 pages), or a directory path (reserved for disk mode)
PYRECRAWL_CACHE_TTL900Cache entry lifetime in seconds
PYRECRAWL_MONITOR_DIR~/.pyrecrawl/monitorsWhere monitor snapshots persist
PYRECRAWL_NO_TELEMETRYoff1 = disable the anonymous startup ping (also honors DO_NOT_TRACK=1)

prefer options: "auto" (default ladder) · "fast" (HTTP only) · "stealth" (CF bypass) · "llm" (deep processing).


🚀 Install & Use (one-liner)

1. Install

UV (recommended — one command, zero Python setup)

UV is a fast Python package manager that handles Python itself — no need to install Python separately. Get it once:

bash
# macOS / Linuxcurl -LsSf https://astral.sh/uv/install.sh | sh
# Windows (PowerShell)powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Learn more about UV →

Then run PyreCrawl directly — no venv, no pip install, no Python download:

bash
uvx pyrecrawl@latest
Or via uv tool install (persistent, recommended for regular use)
bash
uv tool install pyrecrawl
Or via pipx (alternative)
bash
pipx install pyrecrawl
Or via pip into a venv
bash
pip install pyrecrawl

2. One-time browser engines

bash
pyrecrawl setup

This installs Chromium + stealth browser engines (~2 min, one-time).

3. Register with your AI agent

bash
# Auto-detect installed agents and write their MCP configspyrecrawl install
# Or target specific agentspyrecrawl install claude-desktop cursor
# Dry-run to preview what would changepyrecrawl 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:

ToolWhat it does
scrapeFetch a single URL → markdown (auto-escalates past Cloudflare)
extractScrape + structured extraction via CSS schema → JSON
map_siteEnumerate all internal URLs from a root
crawlMulti-page crawl: discover + scrape in bulk
batch_scrapeFetch many URLs in one parallel call
searchWeb search via DuckDuckGo with anti-bot bypass
search_papersAcademic paper search (arXiv / Crossref)
deep_researchSearch + scrape + citations in one call — primary research tool
documentExtract text from PDF/DOCX/PPTX URLs
monitorTrack a URL for content changes over time
sessionPersistent browser session for login walls
cacheInspect or clear the response cache
healthVerify engine availability + version

Plus 3 guided prompts: research, rag_ingest, watch_page.

Quick examples

Ask your agent naturally — no special syntax needed:

You sayAgent uses
"Scrape https://example.com and summarize it"scrape → returns markdown → agent summarizes
"Research Rust memory safety vulnerabilities"deep_research → search + scrape + citations
"Deep research on AI regulation worldwide"deep_research(iterations=3) → multi-pass with refined queries
"Extract all product names and prices from this page"extract → CSS schema → structured JSON
"Crawl https://docs.example.com and give me an overview"crawl → multi-page → summary
"Monitor this page for price changes"monitor → baseline snapshot → periodic diff
"Find papers about transformer attention"search_papers → arXiv results
"What's the current cache hit rate?"cache → stats

🧠 Skills — Maximize Your Agent's Research Quality

PyreCrawl tools give your agent hands (scrape, crawl, search). But the agent still needs a brain — 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)
RoleExecute web operationsTell the agent how to use them
AnalogyHandsBrain
Exampledeep_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:

bash
# 1. Install the tools (you already have this)uvx pyrecrawl@latest
# 2. Add the research skill to your projectgit clone https://github.com/SanggonBoy/pyrecrawl-skills.git /tmp/pyrecrawl-skillscp /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.


📚 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
json
{  "mcpServers": {    "pyrecrawl": {      "command": "uvx",      "args": ["--from", "pyrecrawl", "pyrecrawl", "serve"]    }  }}

Claude Code

Config file: project-scoped .mcp.json

json
{  "mcpServers": {    "pyrecrawl": {      "command": "uvx",      "args": ["--from", "pyrecrawl", "pyrecrawl", "serve"]    }  }}

Cursor

Config file: ~/.cursor/mcp.json

json
{  "mcpServers": {    "pyrecrawl": {      "command": "uvx",      "args": ["--from", "pyrecrawl", "pyrecrawl", "serve"]    }  }}

VS Code / Copilot

Config file: .vscode/mcp.json (project-scoped)

json
{  "servers": {    "pyrecrawl": {      "command": "uvx",      "args": ["--from", "pyrecrawl", "pyrecrawl", "serve"],      "type": "stdio"    }  }}

Codex CLI

Config file: ~/.codex/config.toml

toml
[mcp_servers.pyrecrawl]command = "uvx"args = ["--from", "pyrecrawl", "pyrecrawl", "serve"]

OpenCode

Config file: ~/.config/opencode/opencode.json

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
yaml
mcp_servers:  pyrecrawl:    command: uvx    args:      - --from      - pyrecrawl      - pyrecrawl      - serve    enabled: true

Windows note: uvx must be on PATH. If not, use the full path to uvx.exe (e.g. C:\Users\<you>\AppData\Local\hermes\bin\uvx.exe).


🧠 How the ladder chooses

PyreCrawl runs each request through three tiers, stopping at the first one that returns a complete, LLM-ready result:

ConcernFast tierStealth tierDeep tier
Static HTML page✅ ~200ms——
Cloudflare-protected❌✅ Turnstile solver—
JS-heavy SPA❌✅ real Chromium—
Live DOM data (input .value, JS state)❌✅ js param—
LLM-ready markdown + citations——✅ BM25, fit-markdown
Structured extraction (CSS schema)——✅
Deep crawl (BFS/DFS/BestFirst)——✅ 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 — it never appears in the serialized HTML. The scrape tool accepts two stealth-tier params for exactly this:

json
{  "url": "https://temp-mail.org/id",  "prefer": "stealth",  "wait_for": "document.getElementById('mail').value.includes('@')",  "js": "document.getElementById('mail').value"}
  • wait_for — a JS predicate expression polled until truthy (bounded by timeout). Use it instead of guessing a sleep for anything that arrives asynchronously.
  • js — a JS expression evaluated once the page settles; the value comes back in meta.js_result. Errors are captured in meta.js_error (the page result is still returned, never a crash).

📊 Compared to Firecrawl (hosted)

FirecrawlPyreCrawl
CostFree 1k/mo, then $16–333/moFree, self-hosted
Local LLM support❌✅ Ollama / any LLM
Cloudflare bypass✅ (Fire-Engine, paid)✅ (free, built-in)
Markdown + BM25✅✅
Self-host❌✅
Academic paper search❌✅ arXiv + Crossref (search_papers)
Hosted search API✅ /search⚠️ DuckDuckGo HTML + arXiv/Crossref (no key)

🔧 Development

bash
git clone https://github.com/SanggonBoy/PyreCrawl.gitcd PyreCrawluv venv --python 3.12 .venvsource .venv/Scripts/activate  # Windows; or .venv/bin/activate on macOS/Linuxuv pip install -e ".[dev]"python -m playwright install chromiumscrapling install

Run tests

bash
python scripts/selfcheck.py        # real-network smoke test (13 tools + engines)python scripts/probe_stdio.py      # stdio JSON-RPC probepython scripts/test_ladder_bug.py  # SPA-shell ladder escalation regressionpython scripts/test_js_eval.py     # stealth js/wait_for params regressionpython scripts/test_scope_selector.py  # crawl css_selector/max_depth wiringpython scripts/test_link_harvest.py    # map/BFS link purity regression

📦 Publish

Maintainers only:

bash
git tag vX.Y.Zgit push origin vX.Y.Z

GitHub Actions builds + uploads to PyPI via trusted publishing.


🔔 Stay up to date

PyreCrawl checks PyPI on every startup and reports the latest version — your MCP agent sees this automatically via the health() tool response and can notify you inline.

To check manually:

bash
pyrecrawl version

To upgrade:

bash
pyrecrawl update   # runs: uv tool upgrade pyrecrawl

Get notified of new releases: click Watch → 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 — see Privacy for exactly what's sent and how to opt out.

🔒 Privacy — 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 — not reversible)Your IP (not stored)
PyreCrawl versionAny URL you scrape
Python versionAny page content or search queries
OS family (windows / linux / darwin)Anything else

Client code: src/pyrecrawl/telemetry.py (~90 lines, stdlib only) · Collector: workers/telemetry/ — a self-hostable Cloudflare Worker + D1, no third-party analytics service.

Opt out any time:

bash
export PYRECRAWL_NO_TELEMETRY=1   # or the industry-standard DO_NOT_TRACK=1

📜 Uninstall

bash
# Remove from all agent configspyrecrawl uninstall
# Remove the packageuv tool uninstall pyrecrawl

🛡️ License

MIT — see LICENSE.

Source: README.md at commit 657ad65

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

3
  1. v0.8.1LatestSep 22, 2026
  2. v0.8.0Sep 19, 2026
  3. v0.7.5Sep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts