rtila-releases VS colly

Rtila [1]

Created by an indy/solo developer-on-fire cranking out user-requested features quite quickly... check the releases page [2]

I have used (or at lelast trialled) the vast majority acraping tech and written hundreds of scrapers since my first VB5 controlling IE and dumping to SQLserver in the 90's and then moving to various php and python libs/frameworks and a handful of windows apps like ubot and imacros (both of which were useful to me at some point but I never use those nowadays)

A recent release of Rtila allows creating standalone bots you can run using it's built-in local Node.js server (which also has it's own locally hosted server API you can program anything else against using any language you like)

[1] www.rtila.net

[2] https://github.com/IKAJIAN/rtila-releases/releases

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.