news-fetch 0.2.2

news-fetch is an open source easy-to-use news extractor and basic nlp (cleaning_text, keywords, summary) comes handy that just works

news-fetch

news-fetch was built on top of news-please - Felix Hamborg and Newspaper3K - Lucas (欧阳象) Ou-Yang 'Thank You' both you without them it will be very hard to extract online newspaper. This package consist of both features provided my Felix's work and Lucas' work

news-fetch is an open source, easy-to-use news crawler that extracts structured information from almost any news website. . I built this to reduce most of NaN or '' or [] or 'None' values while scraping for some newspapers. Platform-independent and written in Python 3. This package can be very easily used by programmers and developers to provide access to the news data to their programs.

Source	Link
PyPI:	https://pypi.org/project/news-fetch/
Repository:	https://santhoshse7en.github.io/news-fetch/
Documentation:	https://santhoshse7en.github.io/news-fetch_doc/

Dependencies

• news-please
• newspaper3k
• beautifulsoup4
• fake_useragent
• selenium
• chromedriver-binary
• fake_useragent
• spacy
• pandas

Dependencies Installation

Use the package manager pip to install following

pip install -r requirements.txt

Usage

Download it by clicking the green download button here on Github. To extract URLs from targeted website call google_search function, you only need to parse argument of keyword and newspaper link.

>>> from newsfetch.news import google_search
>>> google = google_search('Alcoholics Anonymous', 'https://timesofindia.indiatimes.com/')

Directory of google search results urls

To scrape the all news details call newspaper function

>>> from newsfetch.news import newspaper
>>> news = newspaper('https://www.bbc.co.uk/news/world-48810070')

Directory of news

>>> news.headline

'g20 summit: trump and xi agree to restart us china trade talks'

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT