SeleniumBase VS colly

And for Python browser automation, see the SeleniumBase GitHub page!

I recommend you to check out Seleniumbase, its a frame work for Selenium. Link: https://github.com/seleniumbase/SeleniumBase

plain pytest, or maybe https://seleniumbase.io ?

In those cases you might want to check out SeleniumBase: https://seleniumbase.io/

If you're looking for a complete Python Selenium solution for solving the Wordle Game programmatically, here's one that uses the SeleniumBase framework. The solution comes with a YouTube video, as well as the Python code of the solution, and a GIF of what to expect:

i haven't. it's the first time i heard about it actually. on our project, it's selenium with seleniumbase

This format is used by most of the examples in the SeleniumBase examples folder. It's a great starting point for anyone learning SeleniumBase, and it follows good object-oriented programming principles. In this format, BaseCase is imported at the top of a Python file, followed by a Python class inheriting BaseCase. Then, any test method defined in that class automatically gains access to SeleniumBase methods, including the setUp() and tearDown() methods that are automatically called to spin up and spin down web browsers at the beginning and end of test methods. Here's an example of that:

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.