A fast and elegant scraping and crawling framework for Go, designed for extracting structured data from websites.
Colly is a scraping and crawling framework for Go that provides a clean interface to write crawlers, scrapers, and spiders. It solves the problem of extracting structured data from websites efficiently, handling complexities like concurrency, sessions, and caching automatically.
Go developers who need to build web scrapers, data miners, or crawlers for applications like data processing, archiving, or automation.
Developers choose Colly for its elegant API, high performance (over 1k requests/sec), and built-in features like concurrency management, session handling, and robots.txt support, which simplify web scraping tasks in Go.
Elegant Scraper and Crawler Framework for Golang
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The interface is intuitive, as shown in the example where setting up callbacks for HTML elements requires minimal boilerplate code, allowing developers to focus on extraction logic.
Explicitly claims over 1,000 requests per second on a single core, making it efficient for large-scale scraping tasks without external dependencies.
Automatically manages request delays and concurrency per domain, which helps prevent server overloads and adheres to crawling best practices out of the box.
Manages cookies and sessions automatically, simplifying scraping for sites that require login or maintain state, as mentioned in the features list.
It's exclusively a Go framework, so teams not invested in the Go ecosystem must learn the language, limiting flexibility in polyglot environments.
Being HTTP-based, it struggles with JavaScript-rendered content; handling dynamic sites requires additional extensions or workarounds, which isn't built-in.
Core features lack built-in support for CAPTCHAs or advanced anti-scraping techniques, forcing developers to implement custom extensions for such scenarios.