python-readability VS newspaper

One of the cases when AI not needed. There is very good working algorithm to extract content from the pages, one of implementations: https://github.com/buriy/python-readability

Is it mostly text articles? If yes, check this: https://github.com/buriy/python-readability

I think then you're looking for something similar to newspaper3k. Unfortunately it's written in python. https://github.com/codelucas/newspaper

There are also many ready made libraries available for content extraction written in python which is more commonly used in data science, e.g. goose3 (https://github.com/goose3/goose3) and newspaper (https://github.com/codelucas/newspaper).

I have searched the web but the library I have found was for Python only. I need a library written in Java or Kotlin so that I could use it on Android. Is there any library for that? If you know that there is no such Java library, please let me know that so that I could stop searching.

I have tried several freemium API, but they drop some whole paragraphs of a simple blog article. Next I'm considering to try out https://github.com/codelucas/newspaper , which executes NLP processing.

I don't think there is any library that works better with the Notion API than others. I used https://github.com/codelucas/newspaper a few years back for article extractions and it worked great!

just by looking for a sec on GitHub I found this. The docs are here and at first glance this thing seems to still be maintained and absolutely feature packed

These Python scrapers take RAW RSS 2.0 XML data as input and replace their description s with full source articles parsed/fetched via Newspaper (first scraper) or Article-Parser (second scraper).