Investors use news articles to gain an idea of market sentiment and hopefully
be able to predict the direction of markets based on the sentiment of these
articles and how they are published. The finnews
library is designed to help
the collection of news articles related to business topics and market news easy
and efficient.
Right now, the library is not hosted on PyPi so you will need to do a local install on your system if you plan to use it in other scrips you use.
First, clone this repo to your local system. After you clone the repo, make sure
to run the setup.py
file, so you can install any dependencies you may need. To
run the setup.py
file, run the following command in your terminal.
pip install -e .
This will install all the dependencies listed in the setup.py
file. Once done
you can use the library wherever you want.
Here is a simple example of using the finnews
library to to grab the top stories
on CNBC.
from pprint import pprint
from finnews.client import News
# Create a new instance of the News Client.
news_client = News()
# Grab the CNBC News Client.
cnbc_news_client = news_client.cnbc
# Grab the top news.
cbnc_top_news = cnbc_news_client.news_feed(topic='top_news')
# Print it.
pprint(cbnc_top_news)
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