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-0.1.20240305.78.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-0.1.20240305.78-py3-none-any.whl (81.4 kB view details)

Uploaded Python 3

File details

Details for the file PKNSETools-0.1.20240305.78.tar.gz.

File metadata

  • Download URL: PKNSETools-0.1.20240305.78.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-0.1.20240305.78.tar.gz
Algorithm Hash digest
SHA256 50bb781eef19e7da5d5895afeff862647ef063a6066958e1886fa47548b3f43d
MD5 7efd005ffcf23656415cacc2f2af48e5
BLAKE2b-256 82afa4599574c8036d18ce2a973527bb84e2db2963cb7d26e6714671a49df5ef

See more details on using hashes here.

File details

Details for the file PKNSETools-0.1.20240305.78-py3-none-any.whl.

File metadata

File hashes

Hashes for PKNSETools-0.1.20240305.78-py3-none-any.whl
Algorithm Hash digest
SHA256 82bbc9b3c7ed0bf414208c4af737262a06d8ce6bfc0cc2e3a5c8b8e62af05664
MD5 b69714088f8f967d802b9cf75f48069e
BLAKE2b-256 fe37986b2e7d673edf9ab369e16b765d25647adb1cb382a3855b7277db351331

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