Scrapling: From Bypassing Cloudflare to Crawling: The Ultimate Python Web Scraping Framework

A framework that unifies Python-based web scraping workflows, from single-page requests to large-scale crawling. It supports fast HTTP requests for static pages, JavaScript rendering, and data extraction from background API calls. Notably, it features a built-in stealth browser capable of bypassing advanced bot-blocking technologies such as Cloudflare Turnstile and interstitials.

It provides a Scrapy-style Spider API, allowing developers to easily build crawlers with concurrency control, proxy rotation, automatic retries, and pause/resume capabilities. The AutoThrottle feature automatically adjusts delays by detecting website response speeds and block signals. Parsed data can be instantly exported to various formats, including JSON, CSV, and XML.

Beyond simple use as a Python library, it supports a terminal CLI, an interactive shell, and an MCP server for AI agents. This enables developers to collect data without writing code or to connect AI agents to directly browse the web and extract information. It reliably extracts data from complex DOM structures using various selector methods such as CSS, XPath, and regular expressions, along with adaptive element tracking.

Released under the BSD-3-Clause license, this project boasts an active community with 92,000 stars. It is suitable for developers who need to collect data in complex bot-blocking environments or teams looking to grant web access capabilities to AI agents. In development mode, it caches responses to disk to prevent placing load on target servers during repeated testing.