projectm VS Scrapy

In the words of Jerry Seinfeld, what's the deal with binary symlinking not working? Example, the ProjectM visualizer I downloaded and moved to a more static directory. It runs fine in that directory but when I symlink it via KDE's Dolphin by drag/dropping to my desktop, it does nothing. Same when I try to make a shortcut in KDE's application launcher. Why is it so to be like that for when you do it to get your shortcut?

I think this is the spiritual successor to Winamp's visualiser, ProjectM:

https://github.com/projectM-visualizer/projectm

If you're referring this this ProjectM, then it looks like Steam might be the best option.

It can also be used standalone from this github

Here you go, open-source, stand-alone version of the winamp visualiser: https://github.com/projectM-visualizer/projectm

You might give Milkdrop a try. It started as a Winamp visualization plugin. It has its own scripting language and a ton of presets you can poke at to figure out how things work. I'm not sure what state Winamp is in these days, but Milkdrop has been ported to work as a Foobar2000 plugin called ProjectM. It looks like there's also a standalone version now, too: https://github.com/projectM-visualizer/projectm

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).