A simple Python library for getting stock prices and company names from Yahoo Finance.


Keywords
Stocks, Yahoo, Finance
License
MIT
Install
pip install YahooRequests==1.11

Documentation

Yahoo Requests - Python Library for Company Data Retrieval

Welcome to Yahoo Requests, a Python library designed to facilitate the retrieval of company information such as prices and full names using Yahoo's data sources.

Github Page Python Versions GitHub code size in bytes GitHub last commit (branch) GitHub Workflow Status (with event)GitHub Workflow Status (with event) GitHub Workflow Status (with event)GitHub

Features

Retrieve live prices, full names, and converted prices of companies (supports currency codes) Get the most popular news article about a company (early access feature) Calculate the average price of a stock in a time period Return a simple table with different information about the company Easy to use and install

Installation

To use Yahoo Requests, you can easily install it using pip:

pip install YahooRequests 

Usage

Here's how you can use Yahoo Requests to retrieve company data in Python:

from YahooRequests import YahooRequests as yr

# Get the live price of Google in USD
price = yr.price("googl")

# Get the full company name of Google
name = yr.name("googl")

# Get the converted price of Google (supports currency codes)
converted_price = yr.price("googl", "eur")

# Full company name of Google with no suffix (like inc or corp)
# If no argument is given, this will be included
no_suffix_name = yr.name("googl", suffix=False)

# Return a simple table with different information about the company
table_company = yr.basic_info("googl")

# Return the most popular news article about a company (Early access feature)
news = yr.news("googl", timespan=5, warning=True)

# Return the average price of a stock in a time period
average_price = yr.average_price("aapl", "2021-1-1", "2022-1-1")

Footnotes

Currency codes can be found Here.

Average analyst rating explanation:

  • If the average rating is close to 5, that means most analysts rate the stock as a sell. Conversely, if the average rating is close to 1, most analysts have a "buy" or "strong buy" rating. In summary, analyst ratings are often aggregated into a single score on a scale of 1–5.

Author

Theodor Gajhede from the northern part of Denmark.

Support

If you encounter issues with the library, try using the "--user" flag when installing with pip or send a support ticket to RedDied at reddied@gmail.com.

Credits

Special thanks to u/Diapolo10 for their contribution to version 1.0.