estela VS Scrapy

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 :-)

BeautifulSoup4 Scrapy

While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects.

If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting).

Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many tools that work out of the box for every site you'll encounter.

Once you've written the spider, it's generally able to be rerun for updates unless the site code is dramatically altered. It really comes down to how brittle the spider is coded (i.e. hunting for specific heading sizes or fonts or something) instead of grabbing the underlying JSON/XHR that doesn't usually change frequently.

1. https://scrapy.org

Scrapy capitalizes headers for request

Scrapy is a web scraping toolkit

I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python).