linkedom VS colly

linkedom is your answer

linkedom - to parse HTML into a workable DOM. I used to use jsdom, but I switch for performance reasons.

For simple scraping where the content is fairly static, or when performance is critical, I will use linkedom to process pages.

https://github.com/WebReflection/linkedom

When the content is complex or involves clicking, Playwright is probably the best tool for the job.

https://github.com/microsoft/playwright

I recently started using linkedom for this and it has been an absolute joy

This looks great. I wonder how it compares to linkedom (repo[1], writeup[2]), which I have found to be fantastic.

[1]: https://github.com/WebReflection/linkedom

[2]: https://webreflection.medium.com/linkedom-a-jsdom-alternativ...

linkedom, fastest, but lacks essential features

Other things to do would be to use linkedom instead of JSDom, look into a better assertion library than assert etc.

Sounds somewhat similar to linkedom[1], which performs nicely.

[1]: https://github.com/WebReflection/linkedom

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.