Market Data & Web Scraping Advanced

Fetch Live NSE India Option Chain Data (PCR & Max Pain) in Python

Python script using requests session cookies to fetch live NSE Nifty/BankNifty Option Chain JSON, calculate Put-Call Ratio (PCR), and identify Max OI strikes.

#requests#pandas

Problem Statement

Direct `requests.get()` calls to NSE India's option chain API return 401/403 blocks unless browser session cookies are initialized first. This script establishes a valid session and parses CE/PE Open Interest.

Formula / Core Logic

Total PCR = Sum(PE_Open_Interest) / Sum(CE_Open_Interest) Highest Call OI Strike acts as immediate statistical resistance; Highest Put OI acts as support.

Installation

pip install requests pandas

nse-india-option-chain-scraper-python-script.py

import requests
import pandas as pd

def fetch_nse_option_chain(symbol='NIFTY'):
    headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'}
    session = requests.Session()
    session.get('https://www.nseindia.com', headers=headers, timeout=10)
    url = f'https://www.nseindia.com/api/option-chain-indices?symbol={symbol}'
    resp = session.get(url, headers=headers, timeout=10).json()
    
    rows = []
    for item in resp['records']['data']:
        strike = item['strikePrice']
        ce_oi = item.get('CE', {}).get('openInterest', 0)
        pe_oi = item.get('PE', {}).get('openInterest', 0)
        rows.append({'Strike': strike, 'CE_OI': ce_oi, 'PE_OI': pe_oi})
        
    df = pd.DataFrame(rows)
    pcr = round(df['PE_OI'].sum() / max(1, df['CE_OI'].sum()), 2)
    return df, pcr

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Frequently Asked Questions

Q: How often should I poll the NSE endpoint?

Poll no more than once every 60 to 120 seconds to avoid IP rate-limiting, as exchange OI updates every 3 minutes.