README.md

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

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Note: I have created a new repo + Python library which is more optimised and contains many feature and aslo well documented and structured. Requesting everyone use that instead of this Repo.

• pip3 install Bharat-sm-data

• https://github.com/Sampad-Hegde/Bharat-SM-Data

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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