Verified project record

D4Vinci/Scrapling

An adaptive web scraping framework for Python that relocates elements after website changes, bypasses anti-bot systems, and automates dynamic content extraction. It supports self-hosted local runs via Python or Docker and requires Python 3.10 or higher.

Project overview

Project type: MCP · Workflow · Data Processing
Use cases: Automation
Deployment: Refer to project documentation
License: BSD-3-Clause

Best for

Developers and data teams performing web scraping and browser automation.

Key capabilities

Relocate elements after website changes using intelligent similarity algorithms.
Advanced stealth capabilities with fingerprint spoofing to bypass Cloudflare's Turnstile/Interstitial.
AI-assisted Web Scraping server to extract targeted content before passing it to the AI.
Fetch dynamic websites with full browser automation supporting Playwright's Chromium and Google's Chrome.
Extract pages to a file directly without programming or launch an interactive web scraping shell.

Limitations and risks

The framework requires Python 3.10 or higher.
Provided for educational and research purposes only; users must comply with local and international data scraping and privacy laws.

Getting started

Install easily via pip with clear extras and CLI setup instructions. Run pip install "scrapling[all]", execute scrapling install, and use scrapling extract get 'https://example.com' content.md.

Evidence and sources

README: Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl.
README: Dynamic Loading: Fetch dynamic websites with full browser automation through the DynamicFetcher class supporting Playwright's Chromium and Google's Chrome.
README: Smart Element Tracking: Relocate elements after website changes using intelligent similarity algorithms.
README: Concurrent Crawling: Configurable concurrency limits, per-domain throttling, and download delays.
README: MCP Server to be used with AI: Built-in MCP server for AI-assisted Web Scraping and data extraction.

Reviewed at: 2026-07-17T05:22:41Z