Scrapling is an open-source Python framework for web scraping that spans the whole range from one fetch to a concurrent crawl. Its parser learns from website changes and automatically relocates your elements when pages update, so a selector that worked before a redesign can still find the same data afterward. Its fetchers are built to bypass anti-bot systems such as Cloudflare Turnstile out of the box, and its spider framework scales to concurrent, multi-session crawls with pause and resume, automatic proxy rotation, and a crawl speed that adapts to how fast each website responds and backs off when the site starts blocking.
BSD-3-Clause · Python · Oxylabs vs Scrapling →
Crawl4AI is an open-source web crawler and scraper designed to prepare website content for large language model (LLM) workflows. It lives in the Python ecosystem and targets data extraction for RAG, agents, and AI pipelines. Unlike many tools that require API keys or paid subscriptions, Crawl4AI provides direct, self-hosted access to web content with output structured specifically for LLM consumption.
Apache-2.0 · Python · Oxylabs vs Crawl4AI →
Crawlee is a web scraping and browser automation library for Node.js, written in TypeScript and published on npm as the `crawlee` package. It lives in the JavaScript and TypeScript ecosystem, and it covers crawling and scraping end to end: fetching pages, following links, extracting data, and storing the results to disk or to the cloud. The project also has a Python counterpart, Crawlee for Python, maintained alongside it by Apify.
Apache-2.0 · TypeScript · Oxylabs vs crawlee →