Free Realtime Live Stock Data Python Script

Yahoo_Realtime_Stock_Price.py

import requests
import time
import pandas as pd
import datetime

def fetch_data(ticker):
    SYMB = ticker # Symbol of stock
    # Yahoo url
    url = f'https://query1.finance.yahoo.com/v8/finance/chart/{SYMB}?region=US&lang=en-US&includePrePost=false&interval=1mo&useYfid=true&range=1d&corsDomain=finance.yahoo.com&.tsrc=finance'
    # Browser Headers
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'
    }
    # store response
    response = requests.get(url, headers=headers)

    if response.status_code == 200:
        data = response.json()
        print(f"Current Time : {datetime.datetime.fromtimestamp(data['chart']['result'][0]['meta']['regularMarketTime'])}")
        print(f"Stock : { data['chart']['result'][0]['meta']['symbol'] }")
        time = { 'Time' : [str(datetime.datetime.fromtimestamp(data['chart']['result'][0]['meta']['regularMarketTime']))] }
        chart = data['chart']['result'][0]['indicators']['quote'][0]
        chart.update(time)
        chart = pd.DataFrame(chart)
        chart.set_index('Time', inplace=True)
        chart = chart[['open','close','high','low','volume']]
        print(pd.DataFrame(chart))
    else:
        print(f"Error: Request failed with status code {response.status_code}")
    
# Infinite loop with 5-second interval ( You can seconds change as per your requirements)
while True:
    ticker = 'GOOG' # ( symbol of stock from yahoo finance website )
    fetch_data(ticker)
    time.sleep(5)