metascraper VS llm

Yep but there is a fallback to metascraper [0] which does check the HTML tags. However the fallback didn't work in case GPT returns a 1970 date -- I just fixed this! [1]

I think you can now remove the date from your post content and it should still work. If you submit your website again it should do a re-scrape if you changed the content text. Thanks for catching this :)

[0] https://metascraper.js.org/#/

[1] https://github.com/lindylearn/aboutideasnow/commit/8b0ea5b46...

200 {description: 'easily scrape metadata from an article on the web.', publisher: null, title: 'metascraper, easily scrape metadata from an article on the web.', url: 'https://metascraper.js.org'} [[Prototype]]: Object

I am using this library https://github.com/microlinkhq/metascraper but it doesn't catch it.

First of all, we'll use the got npm package to fetch the website content (feel free to use any other fetching library), and the metascraper npm package to extract the metadata:

> After that, pricing starts at $25 per month for up to 15,000 requests.

This is very expensive for any decent usage. I have used tools like metascraper for this purpose and it worked pretty well. Setup just requires throwing a tiny nodejs app on a raspberry pi or $5 server and that can handle tons of requests.

https://github.com/microlinkhq/metascraper

That's a great use case, you might be able to do this if you've got a copy and paste on the command line with

https://github.com/simonw/llm

In between. An alias like pdfwtf translating to "paste | llm command | copy"

I added support for this model to my LLM CLI tool via a new plugin: https://github.com/simonw/llm-command-r

So now you can do this:

    pipx install llm

If you're willing to use the CLI, Simon Willison's llm library[0] should do the trick.

[0] https://github.com/simonw/llm

I'm not thrilled about https://github.com/GoogleCloudPlatform/localllm/blob/main/ll... calling their Python package "llm" and installing "llm" as a CLI command, when my similar https://llm.datasette.io/ project has that namespace reserved on PyPI already: https://pypi.org/project/llm/

I've been gleefully exploring the intersection of LLMs and CLI utilities for a few months now - they are such a great fit for each other! The unix philosophy of piping things together is a perfect fit for how LLMs work.

I've mostly been exploring this with my https://llm.datasette.io/ CLI tool, but I have a few other one-off tools as well: https://github.com/simonw/blip-caption and https://github.com/simonw/ospeak

I'm puzzled that more people aren't loudly exploring this space (LLM+CLI) - it's really fun.

Seems nice if you're using c# or java. It also supports python, but for that Simon's llm library is nice because he designed it as both a library and a command line tool: https://github.com/simonw/llm