Build a Golang web scraper from scratch using the Colly framework and have it running in less than 10 minutes.

In this tutorial, you'll learn how to set up a Go web scraping project from the ground up, write your first scraper, and progressively make it faster and more reliable. We start with installation and project setup, then dive straight into how Colly works, an event-driven framework that makes Golang web scraping clean and efficient.

From there, we walk through a real working scraper step by step. You'll see how to extract structured data from an e-commerce website using Go structs, CSS selectors, and Colly's built-in methods. We then show you how to run multiple requests at the same time to speed things up, automate pagination so your Golang scraper moves through pages on its own, and add error handling to keep it running smoothly when something goes wrong.
We also cover how to export your scraped data to a CSV file using Go's standard library, no third-party tools needed. And if you're planning a larger-scale Go web scraping project, we briefly touch on proxy rotation and where to go from here.

By the end, you'll have a fully functional Golang scraper and the foundation to extend it for any data extraction project.

📚 *RESOURCES*
✏️ Golang web scraper (blog post): https://oxy.yt/xvfw 
📖 Colly documentation: https://oxy.yt/NvgD 

🔧 *OUR SCRAPING SOLUTIONS*
Web Scraper API: https://oxy.yt/Avs1 
AI Studio: https://oxy.yt/yvdH 

⏳ *TIMESTAMPS*
0:00 Intro
0:32 Setup & installation
0:51 Colly overview
1:23 Link scraper
2:57 Scraping product data
4:48 Concurrent scraping 
6:32 Pagination
7:40 Handling errors
9:16 Storing scraped data in CSV 
10:40 Legal disclaimer
10:56 Outro

#Golang #GoWebScraping #GolangScraper #WebScraping #DataExtraction #Colly #Oxylabs

© 2026 Oxylabs. 
All rights reserved.

Oxylabs

A beginner-friendly tutorial on building a web scraper in Go using the Colly framework. Covers setting up a project, scraping Wikipedia links, extracting structured e-commerce product data into structs, running async parallel requests with rate limiting, paginating through multiple pages automatically, handling errors with OnError callbacks, setting timeouts, integrating rotating proxies, and exporting scraped data to CSV. Also touches on ethical scraping practices like respecting robots.txt and adding request delays.

Golang Web Scraper Tutorial 2026