MCP serverSafeBrowser automation & web dataSome setup

Scrapling

An adaptive Python web scraping framework that handles single requests to full-scale crawls, featuring anti-bot bypass, proxy rotation, and an MCP server for agent integration.

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev

88k stars9kLicense: BSD-3-ClauseUpdated 3 days ago0 opens

Preview

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What you can do with it

Automate the extraction of structured data from websites for market research or data analysis.
Build robust web crawlers that can bypass anti-bot measures and adapt to website design changes.
Integrate advanced web scraping capabilities into an AI agent's workflow via its MCP server.

Try asking your agent

“Using Scrapling, extract all blog post titles and their URLs from 'https://www.example.com/blog/'.”
“Crawl 'https://www.fakestore.com/products' to get the name, price, and image URL for the first 10 products, handling potential anti-bot measures.”
“Periodically monitor 'https://news.example.com' for new articles containing the keyword 'AI' and report their headlines.”

Safety check

Safe

No risky patterns found in the files we scanned.

Automated scan of the repo files. Always review code you run.

From the README

Effortless Web Scraping for the Modern Web

<strong>Selection methods</strong>
&middot;
<strong>Fetchers</strong>
&middot;
<strong>Spiders</strong>
&middot;
<strong>Proxy Rotation</strong>
&middot;
<strong>CLI</strong>
&middot;
<strong>MCP</strong>

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, automatic proxy rotation, and a crawl speed that adapts to how fast each website responds and backs off when it starts blocking you - 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.

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

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()

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