estela VS colly

This solution is using requests, you can also do this in scrapy, and if you are planning to run more crawlers you can use estela which is a spider management solution.

You may want to check out [estela](https://estela.bitmaker.la/docs/), which is a spider management solution, developed by [Bitmaker](https://bitmaker.la) that allows you to run [Scrapy](https://scrapy.org) spiders.

We are currently running a closed beta of Bitmaker Cloud (free and unlimited). Bitmaker Cloud gives you easy management of scraping workloads via a web dashboard and API. Only Scrapy spiders are supported at the moment (additional languages/frameworks are on the roadmap). Bitmaker Cloud is powered by estela, an elastic web scraping cluster running on Kubernetes. estela is a modern alternative to proprietary platforms such as Scrapy Cloud, as well as OSS projects such as scrapyd. The source code of estela and estela-cli is available on Github.

Estela: A webscraping framework on to of Kubernetes, which manage scaling (by Breno Colom)

We released estela for this and other purposes, check it out, maybe it will suit your needs:

https://github.com/bitmakerla/estela

Only Scrapy support atm, but additional scraping frameworks/language are on the roadmap. Would be good to know which ones to prioritize over others :-)

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.