Analysis updated 2026-06-21
Scrape product prices from an e-commerce site on a schedule and save them to a spreadsheet.
Build a web crawler that archives all pages of a blog for offline reading or search indexing.
Monitor competitor websites for content changes and trigger an alert when something updates.
Build a data pipeline that collects structured data from multiple websites for further analysis.
| gocolly/colly | microsoft/typescript-go | asdf-vm/asdf | |
|---|---|---|---|
| Stars | 25,275 | 25,329 | 25,330 |
| Language | Go | Go | Go |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 3/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Colly is a web scraping and crawling framework written in Go (also called Golang). Web scraping means automatically visiting websites and pulling out structured information from their pages, the same information you would otherwise copy manually. The problem it solves is that writing code to crawl websites from scratch involves a lot of repetitive work: handling cookies, managing how fast you visit pages, dealing with different text encodings, and respecting a site's robots.txt rules (a file that tells bots which pages they may access). Colly handles all of that for you. You give Colly a starting URL and write callback functions, small pieces of code that run when Colly finds a link, downloads a page, or encounters an HTML element matching a selector (like all anchor tags or all product prices). Colly then follows links, manages sessions, and can run multiple requests in parallel. It can cache pages locally so you don't re-download them, and it supports distributed scraping across multiple machines. You would use Colly if you need to gather data from websites for analysis, build a search index, archive content, or monitor pages for changes. It works for anything from a quick one-off script to a large-scale data pipeline. The language is Go, no other runtime or framework is required.
Colly is a Go web scraping and crawling framework that handles cookies, rate-limiting, caching, and parallel requests automatically, so you can extract data from websites without writing boilerplate code.
Mainly Go. The stack also includes Go.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.