About Scrapling
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
Scrapling is an adaptive, open-source web scraping framework built in Python that seamlessly scales from simple single-page requests to complex, full-scale crawling operations. Designed for developers and data professionals, it integrates powerful tools like Playwright for dynamic content handling and offers stealth capabilities to bypass anti-bot measures. Its flexibility allows users to define custom selectors, including XPath, for precise data extraction across diverse websites. Hosted on GitHub, Scrapling is completely free and supports automation through MCP servers, making it ideal for projects ranging from academic research to commercial data pipelines. Its unique value lies in its adaptability—whether you're gathering market intelligence, monitoring prices, or aggregating content, Scrapling simplifies the process with a robust, user-friendly framework that evolves with your scraping needs.
Common Use Cases
- Extract product pricing and availability from e-commerce sites for competitive analysis.
- Gather news articles or blog posts for content aggregation and trend monitoring.
- Automate data collection from dynamic websites using JavaScript rendering with Playwright.
- Build datasets for machine learning by scraping structured information from multiple sources.
- Monitor real-time changes on websites, such as stock updates or event listings, with scheduled crawls.
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Key Features
- Python
- Open Source
- GitHub Hosted
How to Get Started
Usage Statistics
Active Users
34,505
API Calls
2,822,000
Additional Information
Category
Generative AI
Pricing
Free
Last Updated
4/3/2026
