Scrapy

Scrapy is an open-source framework designed for extracting structured data from websites. It provides a complete set of tools for writing spiders—Python scripts that define how to crawl web pages and parse the retrieved content. Developers start by installing the library via pip, then create a spider class that specifies the target URLs and the parsing logic. Scrapy handles HTTP requests asynchronously using its built-in Twisted event loop, which allows multiple requests to be processed concurrently without blocking, resulting in high throughput. The framework includes a powerful selector system based on CSS or XPath expressions, enabling precise extraction of elements such as headings, links, images, tables, and JSON-LD embedded data. Extracted data can be processed through a pipeline of custom components—for example, cleaning, validating, deduplicating, and storing results in formats like CSV, JSON, XML, or directly into databases (SQLite, PostgreSQL, MongoDB). Scrapy also supports middlewares that modify requests and responses globally, allowing integration of proxies, user-agent rotation, cookies, and retry logic to handle anti-crawling mechanisms. The framework includes an interactive shell for testing selectors quickly, a built-in logging system, and a stats collector to monitor crawl performance. Additionally, Scrapy can be extended with third-party libraries; for instance, Scrapy‑Splash renders JavaScript-heavy pages using a headless browser, and Scrapy‑Playwright integrates Playwright for modern dynamic content. The project maintains a comprehensive collection of documentation, including tutorials, recipes, and API references, as well as a vibrant community forum and a GitHub repository with over 62,000 stars and 11,600 forks. The official sponsor, Zyte (former