go-dateparser
trafilatura
| go-dateparser | trafilatura | |
|---|---|---|
| 1 | 13 | |
| 37 | 2,853 | |
| - | - | |
| 5.5 | 8.7 | |
| 2 months ago | 3 days ago | |
| Go | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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go-dateparser
trafilatura
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Trafilatura: Python tool to gather text on the Web
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.
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Show HN: Build AI Dags with Memory; Run and Validate LLM Tools in Containers
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/
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Powerful and free scraper with a headless browser under the hood and Readability for parsing
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.
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I made a Chrome Extension that lets you ask any question about the page you are on (bluf.ai)
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
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Testing fast installation in tear-down environment
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
- Advice on standard design pattern for comparison test script
- Automate dependency installation
- Issue with sklearn
- Questions about some code
- How does Firefox's Reader View work?
What are some alternatives?
Readability4J - A Kotlin port of Mozilla‘s Readability. It extracts a website‘s relevant content and removes all clutter from it.
newspaper - newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
article-extraction-benchmark - Article extraction benchmark: dataset and evaluation scripts
python-goose - Html Content / Article Extractor, web scrapping lib in Python
unclutter - A modern reader mode and article library for your browser.
TWINT - An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
dragnet - Just the facts -- web page content extraction
html2text - Convert HTML to Markdown-formatted text.
parser - 📜 Extract meaningful content from the chaos of a web page
Goose3 - A Python 3 compatible version of goose http://goose3.readthedocs.io/en/latest/index.html
arc90-readability - A copy of the original Arc90 repo with links to many of the current ports.
textract - extract text from any document. no muss. no fuss.