
Scrapling
Adaptive Python web scraping framework with spiders, session support, and AI features.
Overview
Scrapling is an adaptive web scraping framework designed for both simple requests and full-scale crawls. It features a parser that learns from website changes to maintain scraping accuracy and fetchers that bypass anti-bot systems like Cloudflare Turnstile. The spider framework supports concurrent, multi-session crawls with pause/resume capabilities, automatic proxy rotation, and adaptive crawl speed.
Built for web scrapers and developers, Scrapling offers a rich API similar to Scrapy, supports dynamic websites, and includes AI integrations for enhanced scraping workflows. It is optimized for high performance and memory efficiency, with features like real-time streaming of scraped data and a developer-friendly interactive shell.
Key features
- Adaptive scraping with element relocation
- Full crawling framework with spiders
- Multi-session and proxy rotation support
- Pause and resume crawls with checkpointing
- AutoThrottle for adaptive crawl speed
- Support for dynamic websites with browser automation
- AI features including MCP server and agent skill
- Real-time streaming of scraped items
- Robust selector generation and navigation API
- Drop-in integration with Scrapy
- Handles anti-bot systems like Cloudflare automatically
- Supports concurrent and multi-session crawling
- Adaptive delay tuning to avoid bans
- Development mode caches responses for faster iteration
- Includes AI tools for enhanced scraping workflows
- High performance and memory efficient
- Supports real-time streaming and stats
- Requires Python 3.10 or higher
- Fetchers and spiders require additional dependencies
- Development mode not recommended for production
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