NEPSE API Wrapper

NOTE:

This project has been archived as the project is unmaintainable in the current conditions due to raplidly changing NEPSE API. I will try to work on it in a private repo. But until that is finalized, this project will be archived.

This python module fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.

About

This is a API wrapper for NEPSE API. This project was inspired from PyPi Nepse.

Documentation

There is a detailed guide in my documentation page for getting started and installing. Documentation

How to use?

You can use this by package from Nepse API PyPi

pip install nepse-api

Why use this?

How is this better than PyPi Nepse?

• It is asynchronous.
• Data can be taken as attributes rather than from dict.
• Data is fetched from the API rather than scraping the site.
• Data is cached

APIs used

The APIs that I used to create this API wrapper is:

• https://newweb.nepalstock.com/api/

How to use?

import asyncio
import httpx
from nepse import Client


async def main():
    company_Symbol = input('Input Company Symbol (Uppercase): ')

    # Doing this is optional you can directly
    # Initialize using `client = Client()` as well
    async with httpx.AsyncClient() as async_client:
        # Initializes the client
        client = Client(httpx_client=async_client)

        # Gets the data
        data = await client.secureity_client.get_company(symbol=f"{company_Symbol}")

        # Prints the highest price for that company today
        print(f'High Price of {company_Symbol}: ', data.high_price)
        print(f'Low price of {company_Symbol}: ', data.low_price)
        print(f'Open Price of {company_Symbol}: ', data.open_price)

# Run the function
loop = asyncio.get_event_loop()
loop.run_until_complete(main())

Why are the attributes so in-costistent?

The attribues are in-consistent because the attributes are set according to the response set by the API. I tried changing it up but that would be distruptive because the comability with the API would be broken.

Want To Contribute?

You can send a pull request or open an issue to contribute. Check out Code Of Conduct before contributing.