Scrapling: The Modern Web Scraping Framework That Adapts to Changes

Web scraping just got smarter with Scrapling, a battle-tested Python framework that handles everything from simple HTTP requests to enterprise-scale crawls. With 19.3k GitHub stars and daily use by hundreds of professional scrapers, this isn't just another library—it's a complete scraping ecosystem.

Key Features That Set Scrapling Apart

🕷️ Full Spider Framework

• Scrapy-like API with start_urls, async parse() callbacks
• Concurrent crawling with configurable limits and throttling
• Pause & Resume with checkpoint persistence (Ctrl+C friendly)
• Multi-session support: Mix HTTP, stealth browsers, and full automation
• Real-time streaming with live stats

🎯 Anti-Bot Bypass Mastery

from scrapling.fetchers import StealthyFetcher
page = StealthyFetcher.fetch('https://protected-site.com', 
                           solve_cloudflare=True, headless=True)

🔄 Adaptive Parsing (The Killer Feature)

Websites change. Scrapling adapts:

products = page.css('.product', adaptive=True)  # Finds them even after redesign!

Lightning Performance

Quick Start in 3 Lines

from scrapling.fetchers import Fetcher
page = Fetcher.get('https://quotes.toscrape.com/')
quotes = page.css('.quote .text::text').getall()
print(quotes)

Advanced: Multi-Session Spider

class MultiSessionSpider(Spider):
    def configure_sessions(self, manager):
        manager.add("fast", FetcherSession())
        manager.add("stealth", AsyncStealthySession(headless=True))

    async def parse(self, response):
        for link in response.css('a::href').getall():
            if "protected" in link:
                yield Request(link, sid="stealth")
            else:
                yield Request(link, sid="fast")

Production Ready

• 92% test coverage with full type hints
• Docker images with browsers pre-installed
• CLI tools: scrapling shell, scrapling extract
• MCP Server for AI-assisted scraping (Claude/Cursor compatible)
• PyPI: pip install scrapling[all]

Installation

pip install "scrapling[fetchers]"
scrapling install  # Downloads browsers

Scrapling respects robots.txt and ToS—use responsibly for research and authorized data collection.

GitHub Repo | Docs

Whether you're extracting product data, building datasets, or scaling crawls across thousands of domains, Scrapling delivers production-grade reliability with developer-friendly APIs.