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🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

MCP ServersOfficial Registry71.5k stars7.1k forksPythonBSD-3-ClauseUpdated today
Editor's note

Scrapling is a Python web scraping framework that exposes its capabilities as an MCP server, allowing Claude and other MCP-compatible clients to perform web data extraction directly within AI workflows. The library provides four fetcher classes, Fetcher, AsyncFetcher, StealthyFetcher, and DynamicFetcher, each suited to different scraping scenarios ranging from simple HTTP requests to full browser-based sessions that bypass anti-bot protections like Cloudflare Turnstile. A standout feature is its adaptive element relocation system: selectors saved with auto_save=True are stored in a local database, and if a site's HTML structure changes, passing adaptive=True causes the parser to find the same elements by their previously learned signatures rather than failing. The framework also includes a Spider class for concurrent multi-session crawls with pause/resume support and automatic proxy rotation. Via its MCP server interface, Claude Desktop and Claude Code users can invoke scraping, crawling, and data extraction tasks directly through the model, making it relevant to developers, data analysts, and researchers who need live web data integrated into AI-driven pipelines.

ClaudeWave Trust Score
85/100
Trusted

Adaptive Python web scraping framework with stealth features, from single requests to full crawls, also exposed as an MCP server.

Passed
  • Open-source license (BSD-3-Clause)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
Use with caution
Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: UVX (Python) · scrapling
Claude Code CLI
claude mcp add scrapling -- uvx scrapling
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "scrapling": {
      "command": "uvx",
      "args": ["scrapling"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/D4Vinci/Scrapling and follow its README.
Use cases

MCP Servers overview

<!-- mcp-name: io.github.D4Vinci/Scrapling -->

<h1 align="center">
    <a href="https://scrapling.readthedocs.io">
        <picture>
          <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/D4Vinci/Scrapling/main/docs/assets/cover_dark.svg?sanitize=true">
          <img alt="Scrapling Poster" src="https://raw.githubusercontent.com/D4Vinci/Scrapling/main/docs/assets/cover_light.svg?sanitize=true">
        </picture>
    </a>
    <br>
    <small>Effortless Web Scraping for the Modern Web</small>
</h1>

<p align="center">
    <a href="https://trendshift.io/repositories/14244" target="_blank"><img src="https://trendshift.io/api/badge/repositories/14244" alt="D4Vinci%2FScrapling | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
    <br/>
    <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_AR.md">العربيه</a> | <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_ES.md">Español</a> | <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_PT_BR.md">Português (Brasil)</a> | <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_FR.md">Français</a> | <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_DE.md">Deutsch</a> | <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_CN.md">简体中文</a> | <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_JP.md">日本語</a> |  <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_RU.md">Русский</a> | <a href="https://github.com/D4Vinci/Scrapling/blob/main/docs/README_KR.md">한국어</a>
    <br/>
    <a href="https://github.com/D4Vinci/Scrapling/actions/workflows/tests.yml" alt="Tests">
        <img alt="Tests" src="https://github.com/D4Vinci/Scrapling/actions/workflows/tests.yml/badge.svg"></a>
    <a href="https://badge.fury.io/py/Scrapling" alt="PyPI version">
        <img alt="PyPI version" src="https://badge.fury.io/py/Scrapling.svg"></a>
    <a href="https://hub.docker.com/r/pyd4vinci/scrapling" target="_blank">
        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/pyd4vinci/scrapling?labelColor=%20%23FDB062&logo=Docker&labelColor=%20%23528bff"></a>
    <a href="https://clickpy.clickhouse.com/dashboard/scrapling" rel="nofollow"><img src="https://img.shields.io/pypi/dm/scrapling" alt="PyPI package downloads"></a>
    <a href="https://github.com/D4Vinci/Scrapling/tree/main/agent-skill" alt="AI Agent Skill directory">
        <img alt="Static Badge" src="https://img.shields.io/badge/Skill-black?style=flat&label=Agent&link=https%3A%2F%2Fgithub.com%2FD4Vinci%2FScrapling%2Ftree%2Fmain%2Fagent-skill"></a>
    <a href="https://clawhub.ai/D4Vinci/scrapling-official" alt="OpenClaw Skill">
        <img alt="OpenClaw Skill" src="https://img.shields.io/badge/Clawhub-darkred?style=flat&label=OpenClaw&link=https%3A%2F%2Fclawhub.ai%2FD4Vinci%2Fscrapling-official"></a>
    <br/>
    <a href="https://discord.gg/EMgGbDceNQ" alt="Discord" target="_blank">
      <img alt="Discord" src="https://img.shields.io/discord/1360786381042880532?style=social&logo=discord&link=https%3A%2F%2Fdiscord.gg%2FEMgGbDceNQ">
    </a>
    <a href="https://x.com/Scrapling_dev" alt="X (formerly Twitter)">
      <img alt="X (formerly Twitter) Follow" src="https://img.shields.io/twitter/follow/Scrapling_dev?style=social&logo=x&link=https%3A%2F%2Fx.com%2FScrapling_dev">
    </a>
    <br/>
    <a href="https://pypi.org/project/scrapling/" alt="Supported Python versions">
        <img alt="Supported Python versions" src="https://img.shields.io/pypi/pyversions/scrapling.svg"></a>
</p>

<p align="center">
    <a href="https://scrapling.readthedocs.io/en/latest/parsing/selection.html"><strong>Selection methods</strong></a>
    &middot;
    <a href="https://scrapling.readthedocs.io/en/latest/fetching/choosing.html"><strong>Fetchers</strong></a>
    &middot;
    <a href="https://scrapling.readthedocs.io/en/latest/spiders/architecture.html"><strong>Spiders</strong></a>
    &middot;
    <a href="https://scrapling.readthedocs.io/en/latest/spiders/proxy-blocking.html"><strong>Proxy Rotation</strong></a>
    &middot;
    <a href="https://scrapling.readthedocs.io/en/latest/cli/overview.html"><strong>CLI</strong></a>
    &middot;
    <a href="https://scrapling.readthedocs.io/en/latest/ai/mcp-server.html"><strong>MCP</strong></a>
</p>

Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl.

Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi-session crawls with pause/resume and automatic proxy rotation - all in a few lines of Python. One library, zero compromises.

Blazing fast crawls with real-time stats and streaming. Built by Web Scrapers for Web Scrapers and regular users, there's something for everyone.

```python
from scrapling.fetchers import Fetcher, AsyncFetcher, StealthyFetcher, DynamicFetcher
StealthyFetcher.adaptive = True
p = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True)  # Fetch website under the radar!
products = p.css('.product', auto_save=True)                                        # Scrape data that survives website design changes!
products = p.css('.product', adaptive=True)                                         # Later, if the website structure changes, pass `adaptive=True` to find them!
```
Or scale up to full crawls
```python
from scrapling.spiders import Spider, Response

class MySpider(Spider):
  name = "demo"
  start_urls = ["https://example.com/"]

  async def parse(self, response: Response):
      for item in response.css('.product'):
          yield {"title": item.css('h2::text').get()}

MySpider().start()
```

<p align="center">
    <a href="https://dataimpulse.com/?utm_source=scrapling&utm_medium=banner&utm_campaign=scrapling" target="_blank" style="display:flex; justify-content:center; padding:4px 0;">
        <img src="https://raw.githubusercontent.com/D4Vinci/Scrapling/main/images/DataImpulse.png" alt="At DataImpulse, we specialize in developing custom proxy services for your business. Make requests from anywhere, collect data, and enjoy fast connections with our premium proxies." style="max-height:60px;">
    </a>
</p>

# Platinum Sponsors
<table>
  <tr>
    <td width="200">
      <a href="https://go.nodemaven.com/scraplingjuly" target="_blank" title="Proxies with the Highest IP Scores">
        <img src="https://raw.githubusercontent.com/D4Vinci/Scrapling/main/images/NodeMaven.jpg" width="240" height="100">
      </a>
    </td>
    <td>
    <a href="https://go.nodemaven.com/scraplingjuly" target="_blank">NodeMaven</a> - reliable proxy provider with the highest quality IP on the market. Use promo code SCRAPLING35 for 35% discount on proxies.
    </td>
  </tr>
  <tr>
    <td width="200">
      <a href="https://proxidize.com/?utm_source=github&utm_medium=sponsorship&utm_campaign=scrapling&utm_content=d4vinci" target="_blank" title="Clean Proxies with No Nonsense.">
        <img src="https://raw.githubusercontent.com/D4Vinci/Scrapling/main/images/proxidize.png">
      </a>
    </td>
    <td> <a href="https://proxidize.com/?utm_source=github&utm_medium=sponsorship&utm_campaign=scrapling&utm_content=d4vinci" target="_blank"><b>Proxidize</b></a> provides mobile and residential proxies for scraping, browser automation, SEO monitoring, AI agents, and data collection. <i>Use code <b>scrapling20</b> for 20% off</i>.
    </td>
  </tr>
  <tr>
    <td width="200">
      <a href="https://coldproxy.com/?utm_source=scrapling&utm_medium=github&utm_campaign=coldproxy&utm_content=platinum_sponsor" target="_blank" title="Residential, IPv6 & Datacenter Proxies for Web Scraping">
        <img src="https://raw.githubusercontent.com/D4Vinci/Scrapling/main/images/coldproxy.png">
      </a>
    </td>
    <td> <a href="https://coldproxy.com/?utm_source=scrapling&utm_medium=github&utm_campaign=coldproxy&utm_content=platinum_sponsor" target="_blank"><b>ColdProxy</b></a> provides residential and datacenter proxies for stable web scraping, public data collection, and geo-targeted testing across 195+ countries.
    </td>
  </tr>
  <tr>
    <td width="200">
      <a href="https://hypersolutions.co/?utm_source=github&utm_medium=readme&utm_campaign=scrapling" target="_blank" title="Bot Protection Bypass API for Akamai, DataDome, Incapsula & Kasada">
        <img src="https://raw.githubusercontent.com/D4Vinci/Scrapling/main/images/HyperSolutions.png">
      </a>
    </td>
    <td> Scrapling handles Cloudflare Turnstile. For enterprise-grade protection, <a href="https://hypersolutions.co?utm_source=github&utm_medium=readme&utm_campaign=scrapling">
        <b>Hyper Solutions</b>
      </a> provides API endpoints that generate valid antibot tokens for <b>Akamai</b>, <b>DataDome</b>, <b>Kasada</b>, and <b>Incapsula</b>. Simple API calls, no browser automation required. </td>
  </tr>
  <tr>
    <td width="200">
      <a href="https://evomi.com?utm_source=github&utm_medium=banner&utm_campaign=d4vinci-scrapling" target="_blank" title="Evomi is your Swiss Quality Proxy Provider, starting at $0.49/GB">
        <img src="https://raw.githubusercontent.com/D4Vinci/Scrapling/main/images/evomi.png">
      </a>
    </td>
    <td>
      <a href="https://evomi.com?utm_source=github&utm_medium=banner&utm_campaign=d4vinci-scrapling">
        <b>Evomi</b>
      </a>: residential proxies from $0.49/GB. Scraping browser with fully spoofed Chromium, residential IPs, auto CAPTCHA solving, and anti-bot bypass. </br>
      <b>Scraper API for hassle-free results. MCP and N8N integrations are available.</b>
    </td>
  </tr>
  <tr>
    <td width="200">
      <a href="https://tikhub.io/?utm_source=github.com/D4Vinci/Scrapling&utm_medium=marketing_social&utm_campaign=retargeting&utm_con
aiai-scrapingautomationcrawlercrawlingcrawling-pythondatadata-extractionmcpmcp-serverplaywrightpythonscrapingselectorsstealthweb-scraperweb-scrapingweb-scraping-pythonwebscrapingxpath

What people ask about Scrapling

What is D4Vinci/Scrapling?

+

D4Vinci/Scrapling is mcp servers for the Claude AI ecosystem. 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! It has 71.5k GitHub stars and was last updated today.

How do I install Scrapling?

+

You can install Scrapling by cloning the repository (https://github.com/D4Vinci/Scrapling) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is D4Vinci/Scrapling safe to use?

+

Our security agent has analyzed D4Vinci/Scrapling and assigned a Trust Score of 85/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains D4Vinci/Scrapling?

+

D4Vinci/Scrapling is maintained by D4Vinci. The last recorded GitHub activity is from today, with 0 open issues.

Are there alternatives to Scrapling?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy Scrapling to your cloud

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