Skip to main content

A package for fetching data from BSE

Project description

bsedata

PyPi Version PyPi License PyPi PyVersions PyPi Format

Python library for extracting real-time data from Bombay Stock Exchange (India).

Tests on master branch Tests on dev branch Code coverage Documentation
tests master tests dev code coverage documentation

Introduction

bsedata is a library for collecting real-time data from Bombay Stock Exchange (India). It can be used in various types of projects which require getting live quotes for a given stock or index or build large data sets for data analysis.

The data is as accurate as provided on the BSE website.

Please do not use this application for production usage. It is best used for learning and building application for your own use. For commercial application you better buy a data service.

This library uses MIT license hence liability lies with the user and not the author of the application.

As per India's IT act it is no where mentioned that we cannot scrape a website. It's up to me whether I consume the publicly available data "visually" or through my programme or using some kind of "web reader". As long as data you are scrapping is available in public domain and you are not breaching security and accessing data of private nature with malicious intent, it cannot be termed as illegal.

But it can certainly be termed "unethical" (which is equally bad) since you are damaging the service itself. Hence be prudent about how much stress you cause to the backend. BSE's website is very capable and even they will not mind if someone is scrapping their website for educational purposes.

Features

  • Getting live quotes using stock codes in Python dicttionaries
  • Getting list of top losers
  • Getting list of top gainers
  • Getting quotes for all the indices traded in BSE
  • Helper APIs to check whether a given stock code or index code is correct
  • Getting list of all indices and stocks

Roadmap

  • Get details of an individual index
  • Complete unit test coverage
  • Daily OHLCV data
  • Historical EOD OHLCV data

Dependencies

Usage

Refer the documentation at https://bsedata.readthedocs.io/en/latest/usage.html

Change Log

Refer the documentation at https://bsedata.readthedocs.io/en/latest/chglog.html

License

MIT License

Copyright (c) 2018 Shrey Dabhi

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bsedata-0.5.2.tar.gz (9.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bsedata-0.5.2-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

File details

Details for the file bsedata-0.5.2.tar.gz.

File metadata

  • Download URL: bsedata-0.5.2.tar.gz
  • Upload date:
  • Size: 9.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.10

File hashes

Hashes for bsedata-0.5.2.tar.gz
Algorithm Hash digest
SHA256 8e30702b3f6171e9e3c715dcca07226c0b87427eb81c2000007cc2835238769f
MD5 823f3b339d33bf435925391f43a5b62f
BLAKE2b-256 edbaf70ca68dcfc3c249f81fd9c938715fdbd7d81a8d4b84358defca1c146d7d

See more details on using hashes here.

File details

Details for the file bsedata-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: bsedata-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 15.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.10

File hashes

Hashes for bsedata-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6f7acd1993828d1b0e7d78adc21b4e3c34b123c10285260cec184b9d61fb1f1d
MD5 a5d754d1f9b2720043351e282f5e3a11
BLAKE2b-256 397a2d9334b2c33de0d6d52dfb6024e25ce75120466af216ff5577aa38e1c33c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page