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-0.1.20231227.9.tar.gz (52.7 kB view details)

Uploaded Source

Built Distribution

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

PKNSETools-0.1.20231227.9-py3-none-any.whl (62.6 kB view details)

Uploaded Python 3

File details

Details for the file PKNSETools-0.1.20231227.9.tar.gz.

File metadata

  • Download URL: PKNSETools-0.1.20231227.9.tar.gz
  • Upload date:
  • Size: 52.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for PKNSETools-0.1.20231227.9.tar.gz
Algorithm Hash digest
SHA256 7079fd72e10c3f3f9d2ec436f5606ea8a527be6d70c7ebe1ce5237fa5c55a225
MD5 1d2795c09eb44197104a685a43f78ec9
BLAKE2b-256 2116156f9a013f9dffabfcce64c30d24063e370f8d3045e0edf0c9da69615d88

See more details on using hashes here.

File details

Details for the file PKNSETools-0.1.20231227.9-py3-none-any.whl.

File metadata

File hashes

Hashes for PKNSETools-0.1.20231227.9-py3-none-any.whl
Algorithm Hash digest
SHA256 eba9e08fd5411a58666df20a8b53d52c1776a27b8d8c48f2141370cd5a8c3b32
MD5 43484781a4deb3245a2c36da76705b32
BLAKE2b-256 0feece4144d233513ac78affb6813dd4690cd08c8103fa09fa0c7edbe60f1c34

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