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[GH-ISSUE #1143] Feature Request: new inscriptis / trafilatura extractor for AI-powered article text and metadata extraction #3736
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expected: maybe someday
expected: next release
expected: release after next
expected: unlikely unless contributed
good first ticket
help wanted
pull-request
scope: all users
scope: windows users
size: easy
size: hard
size: medium
size: medium
status: backlog
status: blocked
status: done
status: idea-phase
status: needs followup
status: wip
status: wontfix
touches: API/CLI/Spec
touches: configuration
touches: data/schema/architecture
touches: dependencies/packaging
touches: docs
touches: js
touches: views/replayers/html/css
why: correctness
why: functionality
why: performance
why: security
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starred/ArchiveBox#3736
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Originally created by @turian on GitHub (May 5, 2023).
Original GitHub issue: https://github.com/ArchiveBox/ArchiveBox/issues/1143
Type
What is the problem that your feature request solves
For NLP work with web-pages, I've found that inscriptis is the best text extractor.
Describe the ideal specific solution you'd want, and whether it fits into any broader scope of changes
It would be an optional extension.
What hacks or alternative solutions have you tried to solve the problem?
Crawling the Chromium HTML and using inscriptis myself.
How badly do you want this new feature?
@pirate commented on GitHub (May 5, 2023):
After some quick research I'm leaning towards this one instead: https://github.com/adbar/trafilatura
The reason is that it supports extracting comments and other useful metadata beyond just article text, which I think brings it a distinct advantage that mercury/readability don't provide already.
@turian commented on GitHub (May 5, 2023):
@pirate TBH, it would be nice to have both options. I was using readilbity and mercury, but they were not good enough. jusText was recommended to me by EleutherAI, but it was too aggressive.
Anyway, it really depends upon the use-case, but having a few options is great. I guess I would also include jusText in that list then.
Because for different tasks, you might need different levels of aggressiveness + precision/recall tradeoff.
I'm doing NLP stuff and using LLMs, and many people are these days too.