mlscraper VS scrapy-proxycrawl-middleware

See if something like autoscraper or mlscraper suits your needs.

Why GPT-based then? There are libraries that do this: You give examples, they generate the rules for you and give you a scraper object that takes any html and returns the scraped data.

Mine: https://github.com/lorey/mlscraper

GitHub - lorey/mlscraper: 🤖 Scrape data from HTML websites automatically by just providing examples

Check it out here: https://github.com/lorey/mlscraper Example: https://github.com/lorey/mlscraper/blob/master/examples/quotes\_to\_scrape.py

In case anyone wants to detect the selectors automatically, here's a small python library I wrote that does it for you: https://github.com/lorey/mlscraper

You can use Scrapy middleware by ProxyCrawl to get started and scale at speed without the hassle of any infrastructure cost. Here is a link to it on GitHub. You will need new data often, so automating it with Airflow would be the perfect option.

Nice that you're using Selenium and Beautiful Soup for scraping Facebook groups. If you would like to scrape at scale without the hassle of worrying about the tiniest details, then I would recommend you to go with ProxyCrawl's Scrapy middleware. It's not only easy-to-use but can get you the trickiest of websites scraped!