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.
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.
# Fetch and scrape in 3 lines from scrapling.fetchers import Fetcher page = Fetcher.get('https://example.com') items = page.css('.product', auto_save=True) # Adaptive — survives website redesigns # items = page.css('.product', adaptive=True)
Scrapling's expressive API lets you scrape websites, build crawlers, and extract data with minimal code. Whether you need a single request or a full-scale crawling pipeline with concurrent sessions, proxy rotation, and pause/resume — it's just a few lines away.
From adaptive element tracking to anti-bot bypass, Scrapling is built by Web Scrapers for Web Scrapers. One library, zero compromises.
Smart element tracking that learns from website changes and automatically relocates your elements when pages update — no code changes needed.
Built-in stealth capabilities with fingerprint spoofing. Easily bypass Cloudflare Turnstile, Interstitial, and other anti-bot protections.
Scrapy-like Spider API with concurrent requests, multi-session support, pause/resume, checkpoints, streaming mode, and built-in JSON export.
Built-in ProxyRotator with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides for flexible routing.
Built-in MCP server for AI-assisted Web Scraping and data extraction. Leverage Scrapling to extract targeted content before passing it to AI, reducing token usage.
Optimized performance outperforming most Python scraping libraries. 10x faster JSON serialization, memory-efficient data structures, and lazy loading.
Scrapling is used daily by hundreds of Web Scrapers. With 92% test coverage and full type hints, it's built for production at scale.
Define spiders with start_urls, async parse callbacks, and Request/Response objects. Configurable concurrency limits, per-domain throttling, and download delays.
Unified interface for HTTP requests and stealthy headless browsers in a single spider. Route requests to different sessions by ID.
Checkpoint-based crawl persistence. Press Ctrl+C for a graceful shutdown; restart to resume from where you left off.
Stream scraped items as they arrive via async for with real-time stats — ideal for UI, pipelines, and long-running crawls.
Advanced stealth capabilities with finger print spoofing. Bypass all types of Cloudflare Turnstile and Interstitial with automation.
Relocate elements after website changes using intelligent similarity algorithms. CSS selectors, XPath, filter-based search, text search, and regex.
Built-in IPython shell with Scrapling integration, shortcuts, and tools. Extract pages to file directly without writing code.
Block requests to specific domains or enable built-in ad blocking (~3,500 known ad/tracker domains). DNS-over-HTTPS for DNS leak prevention.
Cache responses to disk on the first run and replay them on subsequent runs. Iterate on parsing logic without re-hitting target servers.
Official Docker image with all browsers and extras pre-installed. Automatically built and pushed with each release.
Scrapling isn't just powerful — it's also blazing fast. The following benchmarks compare Scrapling's parser with the latest versions of other popular libraries.
Install Scrapling now and experience the most adaptive web scraping framework ever built. One library, zero compromises.