unclutter VS trafilatura

no a filter for uBO (I do not think it is possible) but I really like this extension: https://github.com/lindylearn/unclutter

Other browsers can use the uncluttered extension.

There already is crowdsourcing of broken page reports: https://github.com/lindylearn/unclutter/issues?q=is%3Aissue+...

And twitter.com is a special case: https://github.com/lindylearn/unclutter/issues/570

I'm working on those, but it's never going to be perfect unfortunately.

Here’s more info: unclutter.lindylearn.io

I'm looking into this: https://github.com/lindylearn/unclutter/issues/661

It all started with a r/chrome post a few months ago, and since then we've added many improvements to our GitHub project.

Hey! This is a reader mode browser extension I built that hides noisy page elements rather than extracting and re-rendering only the page text. The idea is to not make all articles look the same [0], have them still render graphs, and ideally to work in more cases.

There are a few "tricks": patching the site CSSOM to apply simpler mobile styles even at desktop width, detecting the likely main text & removing its non-text siblings, blocklists for classnames that contain words like "sidebar", and testing this on a few hundred popular sites.

I got carried away and also added a dark mode, page outlines, private annotations & inline Hacker News comments.

The last feature works by parsing every top-level HN comment with a quote in it (formatted with > or "") within a few minutes, and anchoring these quotes in the related article HTML. So when you click a link on HN you’ll see the parts people are talking about while reading. [1]

The code is all on GitHub!

[0] Screenshots comparing it to the Firefox reader mode: https://github.com/lindylearn/unclutter/blob/main/docs/compa...

[1] It's fun to try this on some of the "HN classics" that got 30+ quote comments over the years. The list at hn.lindylearn.io/best shows the number of “annotations” an article has beneath its title.

You can also contribute to the existing extension for this: https://github.com/lindylearn/unclutter

More examples: unclutter.lindylearn.io The code: github.com/lindylearn/unclutter

Hey! This is a reader mode browser extension I built that hides noisy page elements rather than extracting and re-rendering only their text content. The idea is to not make all articles look the same [0], have them still render graphs, and ideally to work in more cases.

There are a few "tricks": patching the site CSSOM to apply simpler mobile styles even at desktop width, cleaning up parents of DOM text nodes, blocklists for class names that contain words like "sidebar", plus manual CSS patches for popular sites.

I got carried away and also added a dark mode, page outlines, privates notes & inline Hacker News comments. [1]

The last feature works by parsing every top-level HN comment with a quote in it (formatted with > or "") within a few minutes, and anchoring these quotes in the story article HTML. So when you open a link you'll directly see the parts people are talking about here. [2]

The extension code is all on GitHub: github.com/lindylearn/unclutter

[0] Unclutter vs the Firefox reader mode: https://github.com/lindylearn/unclutter/blob/main/docs/compa...

[1] The linked website show some examples for these.

[2] It's also fun to try this on some of the "HN classics" that got 30+ quote comments over the years. The list at hn.lindylearn.io/best shows the number of "annotations" a link has beneath its title.

The feature list answers that question pretty well: https://github.com/adbar/trafilatura#features

Basically: you could implement all of this on top of BeautifulSoup - polite crawling policies, sitemap and feed parsing, URL de-duplication, parallel processing, download queues, heuristics for extracting just the main article content, metadata extraction, language detection... but it would require writing an enormous amount of extra code.

The WebScraper tool uses Trafilatura [1] to scrape and parse HTML—nothing too fancy. "Scraping" a React site would require a totally different approach, probably something more akin to Adept's ACT-1 [2].

I run a local chat app built with Griptape and I use it to give me summaries of web pages or answer specific questions all the time :)

1. https://github.com/adbar/trafilatura/

I've been playing with Trafilatura lately, and it's very good. There are a few very thorough comparisons to other projects and it really shines. It doesn't do anything headless from what I can tell, but it doesn't have to do the scraping itself. Maybe an option could be to use Playwright to scrape, then Trafilatura to parse. Food for thought.

Cool! If you care to explain me further... :) ... I tried parsing a page using: https://github.com/adbar/trafilatura, json stringify it and passing it to https://platform.openai.com/docs/api-reference/embeddings/create. How do I use the response as an input later? <3

I want to test how easy it is to install a package plus special extra dependencies to run a certain script in that package: https://github.com/adbar/trafilatura