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-0.1.20240127.16.tar.gz (61.2 kB view details)

Uploaded Source

Built Distribution

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

PKNSETools-0.1.20240127.16-py3-none-any.whl (72.0 kB view details)

Uploaded Python 3

File details

Details for the file PKNSETools-0.1.20240127.16.tar.gz.

File metadata

  • Download URL: PKNSETools-0.1.20240127.16.tar.gz
  • Upload date:
  • Size: 61.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for PKNSETools-0.1.20240127.16.tar.gz
Algorithm Hash digest
SHA256 76e86993cce54293fbd6286f3e9d49ea296bb31bc3321d8860b75c04d2c70470
MD5 acf11ad163e90586069be9dade8e1319
BLAKE2b-256 ba930194f9195bd1f62e1484671416aeee38f058e984570387c65ad97d51c8cc

See more details on using hashes here.

File details

Details for the file PKNSETools-0.1.20240127.16-py3-none-any.whl.

File metadata

File hashes

Hashes for PKNSETools-0.1.20240127.16-py3-none-any.whl
Algorithm Hash digest
SHA256 c9d1ab4f0a5665265b06ad154a7ddb27fb75ece3020cd2952fb8f2d81f9a2f6c
MD5 91351da40e0e42934f95c1e6b94b5ad2
BLAKE2b-256 66a7cfe36bf51497d24732d03e0738010d6855c057c9dbddc6a3277153fdec13

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