johnbumgarner/newshound
This Python package can be used to systematically extract multiple data elements (e.g., title, keywords, text) from news sources around the world in over 50 languages.
This tool helps researchers, marketers, or analysts systematically extract key information from news articles across over 50 languages worldwide. It takes online web pages or offline HTML files as input and outputs structured data like headlines, authors, publication dates, keywords, and the main text of articles. It's designed for anyone needing to gather and analyze content from global news sources.
No commits in the last 6 months.
Use this if you need to reliably extract specific data elements from a variety of international news articles in different languages.
Not ideal if you are not comfortable working with Python scripts to process information.
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/johnbumgarner/newshound"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
Altimis/Scweet
A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers,...
lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser...
plabayo/rama
modular service framework to move and transform network packets
scrapinghub/spidermon
Scrapy Extension for monitoring spiders execution.