Skip to main content

A Python-based data downloader for NSE, India

Project description

National Stock Exchange (India) Web-Scraping For getting Required Data

WebSite-Url : https://www.nseindia.com/

gereral.py

That uses NSE private search api for getting id of a stock

example tata moors (Common name) :- TATAMOTORSEQN (ID assigned by NSE)

from general import getId
id = getId('tata motors')

today_all_stock.py

Gives all data of all companies including NIFTY, and you save it as CSV file. getTodayData() returns tuple in the form of (nifty_data, Company_data)

from today_all_stocks import getTodayData
nifty_data, companies_data = getTodayData() 

intra_day.py

if you call the function intraDay(company_id) or nifty_intraDay(nifty_type) to get live data i.e., from 09:00:00 AM to till now

For Companies use like this,

from intra_day import Intra_Day
ID = Intra_Day('TATA MOTORS')
timeStamp, dataPoints = ID.intraDay()

and for NIFTY use,

from intra_day import Intra_Day
ID = Intra_Day('NIFTY 50')
timeStamp, dataPoints = ID.nifty_intraDay()

call nifty_intraday() or intraDay() as many times you need

individual_company_stock.py

This will give you the historical data of that stock. max 3 years

from individual_company_stock import getHistoryData
getHistoryData('SHREECEM',from_date='30-04-2020',to_date='30-04-2021') 
# Default params : from_date = today's date in last year DD-MM-(YYYY-1), to_date=today's date DD-MM-YYYY
# for example today is 30-04-2021; from_date = 30-04-2020 to_date = 30-04-2021
from individual_company_stock import niftyHistoryData
niftyHistoryData('NIFTY 50') 
# Default params : from_date = today's date in last year DD-MM-(YYYY-1), to_date=today's date DD-MM-YYYY
# for example today is 30-04-2021; from_date = 30-04-2020 to_date = 30-04-2021

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

PKNSETools-0.1.20240305.80.tar.gz (65.9 kB view details)

Uploaded Source

Built Distribution

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

PKNSETools-0.1.20240305.80-py3-none-any.whl (81.5 kB view details)

Uploaded Python 3

File details

Details for the file PKNSETools-0.1.20240305.80.tar.gz.

File metadata

  • Download URL: PKNSETools-0.1.20240305.80.tar.gz
  • Upload date:
  • Size: 65.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.13

File hashes

Hashes for PKNSETools-0.1.20240305.80.tar.gz
Algorithm Hash digest
SHA256 d66a03a210374633a9f5d0c313a1add65716ed17f58a4fe7142d38a27c6eebce
MD5 d7dd362d8faf6a01550ed470ef119799
BLAKE2b-256 6a7f3786aded701b5865bb26b3e312e9c91fb0d8e2bd02425965fcd431026e0e

See more details on using hashes here.

File details

Details for the file PKNSETools-0.1.20240305.80-py3-none-any.whl.

File metadata

File hashes

Hashes for PKNSETools-0.1.20240305.80-py3-none-any.whl
Algorithm Hash digest
SHA256 300b1cd1a67f5a44cadcdc938bbf77f67c2dd9df2df72172a8f6f5e6c35c4248
MD5 fd5208eab0be87c387ee62f14e7e0089
BLAKE2b-256 56e75323c75cf4feac12fe60532fc9e22b8b625dbd0077b0c2f499ebde63ef5a

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