rod VS colly

I have tried the following. 1. Login to Okta via browser programatically using go-rod. Which I managed to do so successfully, but I'm failing to load up Slack as it's stuck in the browser loader screen for Slack. 2. I tried to authenticate via Okta RESTful API. So far, I have managed to authenticate using {{domain}}/api/v1/authn, and then subsequently using MFA via the verify endpoint {{domain}}/api/v1/authn/factors/{{factorID}}/verify which returns me a sessionToken. From here, I can successfully create a sessionCookie which have proven quite useless to me. Perhaps I am doing it wrongly.

I usually find libraries by googling them or searching awesome go on GitHub, for selenium/puppeteer I've always found go-rod useful and easy in every way, Sometimes I also Google "X in Nodejs for Golang"

I recently tried out https://github.com/go-rod/rod. I think it's based on chromedp (so, Chrome dev tools and headless browser) but it also has code to download and run a supported version of Chrome that doesn't interfere with your local browser.

One of the dependencies is `rod`[0], which is a web scraping/automation library, and I believe requires a browser to work. I don't know what they're using it for though as I haven't looked at the code (and I'm not familiar with Go anyways).

0: https://github.com/go-rod/rod

I don't have personal experience, but https://github.com/go-rod/rod is far more active than chromedp

SerpApi focuses on scraping search results. That's why we need extra help to scrape individual sites. We'll use GoColly package.

Interesting. Can you compare it to colly? [0]

Last time I looked it was the most popular choice for scraping in Go and I have some projects using it.

Is it similar? Does it have more/less features or is it more suited for a different use case? (Which one?)

[0] https://github.com/gocolly/colly

Sounds cool, but how is this different from Colly: https://github.com/gocolly/colly?

We could write some snippets mixing all these, but the best option in real life is to use a tool with it all, like Scrapy, pyspider, node-crawler (Node.js), or Colly (Go).

Unless you're specifically trying to do it using net/http, I recommend using colly. I've used it in a few scrappers and I love it!

In this blog, we will be covering the basics of web scraping in Go using the Fiber and Colly frameworks. Colly is an open-source web scraping framework written in Go. It provides a simple and flexible API for performing web scraping tasks, making it a popular choice among Go developers. Colly uses Go's concurrency features to efficiently handle multiple requests and extract data from websites. It offers a wide range of customization options, including the ability to set request headers, handle cookies, follow redirects, and more

github.com/gocolly/colly - popular and widely-used library for web scraping in Go. It provides a higher-level API than net/http and makes it easier to extract information from websites. It also provides features such as concurrency, automatic request retries, and support for cookies and sessions.