Scrapy VS feedparser

Scrapy is a robust and scalable open-source web crawling framework. It is highly efficient for large-scale projects and supports asynchronous scraping.

Language: Python | GitHub: 52.9k stars | link

One might ask, what about Scrapy? I'll be honest: I don't really keep up with their updates. But I haven't heard about Zyte doing anything to bypass TLS fingerprinting. So out of the box Scrapy will also be blocked, but nothing is stopping you from using curl_cffi in your Scrapy Spider.

Install scrapy (Offical website) either using pip or conda (Follow for detailed instructions):

Using Scrapy I fetched the data needed (activities and attendance). Scrapy handled authentication using a form request in a very simple way:

Scrapy is an open-source Python-based web scraping framework that extracts data from websites. With Scrapy, you create spiders, which are autonomous scripts to download and process web content. The limitation of Scrapy is that it does not work very well with JavaScript rendered websites, as it was designed for static HTML pages. We will do a comparison later in the article about this.

i am using the feedparser library in python https://github.com/kurtmckee/feedparser/ which basically takes an RSS url and standardizes it to a reasonable extent. But I have noticed that different websites still get parsed slightly differently. For example look at how https://beincrypto.com/feed/ has a long description (containing actual HTML) inside but this website https://www.coindesk.com/arc/outboundfeeds/rss/ completely cuts the description out. I have about 50 such websites and they all have slight variations. So you are saying that in addition to storing parsed data (title, summary, content, author, pubdate, link, guid) that I currently store, I should also add an xml column and store the raw from each url till I get a good hang of how each site differs?

There is JSON Feed¹ already. One of the spec writers is behind micro.blog, which is the first place I saw it(and also one of the few places I've seen it). I don't think it is a bad idea, and it doesn't take all that long to implement it.

I have long hoped it would pick up with the JSON-ify everything crowd, just so I'd never see a non-Atom feed again. We perhaps wouldn't need sooo much of the magic that is wrapped up in packages like feedparser² to deal with all the brokeness of RSS in the wild then.

¹ https://www.jsonfeed.org/

² https://github.com/kurtmckee/feedparser

What sites did you try? Looked into RSS yet? Many sites have RSS feeds you can use with something like https://github.com/kurtmckee/feedparser nytimes.com feeds: https://www.nytimes.com/rss

feedparser

You can explore FeedParser too

feedparser is a python package receiving and parsing RSS/Atom newsfeeds. The maintainer is active but really need much more support.

Lo más sencillo que conozco para monitorizar canales de YouTube son los feeds RSS que tiene cada canal. El formato es https://www.youtube.com/feeds/videos.xml?channel_id=[CHANNEL_ID]. Si no conoces RSS, echa un vistazo en la wiki. Para leer RSSs en Python tienes feedparser (y seguramente muchas más).