pyppeteer VS colly

The latest version of Pyppeteer, i.e., 1.0.2, can also be installed by executing pip3 install -U git+https://github.com/pyppeteer/pyppeteer@dev on the terminal.

Having async baked into Python both as a keyword and standard library has vastly opened up the number of use cases async will be used in where it is appropriate, one of my favorite libraries pyppeteer would have not existed in the easy nice way it can be used without asyncio: https://github.com/pyppeteer/pyppeteer

Yes, this is scraping. You need a legit new cookie issued by the site. The solution is to automate the going to get the cookies part. The most straight forward way to do this is probably using a headless browser through something like Selenium or pyppeteer.

Last I checked, pyppeteer wasn't a thing anymore, and I haven't tried Playwright but if it has a headless mode, thats what you want so you don't have a browser open.

pip install -U git+https://github.com/pyppeteer/pyppeteer@dev

The normal Puppeteer package is JavaScript, but I do see that there's a Python port called pyppeteer. I can't vouch for it specifically, but I imagine it's similarly easy to use as the JS version.

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.