Extract data from NSE website

Dear Sir,

I tried to extract data like Current price, Total Market Cap, Free Float Market Cap, Macro-Economic Sector, Sector, Industry and Basic Industry from

I want to get the same kind of data for others using base file: https://archives.nseindia.com/content/equities/EQUITY_L.csv

I have written a code in which I was able to extract only 300 entries. I am not able to convert to csv or xls file.

import requests
import pandas as pd
import re
import os
import sys

class NseIndia:

    def __init__(self):
        self.headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.0.0 Safari/537.36'}
        self.session = requests.Session()
        self.session.get("http://nseindia.com", headers=self.headers)

    def get_stock_info(self,symbol):
        url1 = 'https://www.nseindia.com/api/quote-equity?symbol=' + symbol.replace(' ', '%20').replace('&','%26') + "&section=trade_info"
        url2 = 'https://www.nseindia.com/api/quote-equity?symbol=' + symbol.replace(' ', '%20').replace('&', '%26')
        tc = self.session.get(url1, headers=self.headers).json()['marketDeptOrderBook']['tradeInfo']['totalMarketCap']
        fc = self.session.get(url1, headers=self.headers).json()['marketDeptOrderBook']['tradeInfo']['ffmc']
        lp = self.session.get(url2, headers=self.headers).json()['priceInfo']['lastPrice']
        ma = self.session.get(url2, headers=self.headers).json()["industryInfo"]["macro"]
        se = self.session.get(url2, headers=self.headers).json()["industryInfo"]["sector"]
        ind = self.session.get(url2, headers=self.headers).json()["industryInfo"]["industry"]
        bas = self.session.get(url2, headers=self.headers).json()["industryInfo"]["basicIndustry"]
        return tc, fc, lp, ma, se, ind, bas

nse = NseIndia()

nifty50_url = 'https://archives.nseindia.com/content/equities/EQUITY_L.csv'
df_n50 = pd.read_csv(nifty50_url)

regexp = re.compile('&')

TC = []
FC = []
LP = []
MA = []
SE = []
IND = []
BAS = []

while True:
    try:
        for index, row in df_n50.iterrows():
            symbol = row['SYMBOL']
            if (regexp.search(symbol) != None):
                symbol = symbol.replace('&', '%26')

            TCap, FCap, LPrice, Macro, Sector, Industry, BIndustry = nse.get_stock_info(symbol)
            TC.append(str(TCap))
            FC.append(str(FCap))
            LP.append(str(LPrice))
            MA.append(str(Macro))
            SE.append(str(Sector))
            IND.append(str(Industry))
            BAS.append(str(BIndustry))

        os.system('cls')
        print("|{:50s} | {:20s} | {:10s} | {:10s} | {:10s} | {:10s} | {:10s}| {:10s} | {:10s}| {:10s} | {:10s}|".format('Company Name',
                                                                                                       'Symbol','Listing Date','Face value',
                                                                                                       'TotalCap',
                                                                                                       'FFCap',
                                                                                                       'LastPricce',
                                                                                                       'Macro',
                                                                                                       'Sector',
                                                                                                       'Industry',
                                                                                                       "BasicInd"))

        for index, row in df_n50.iterrows():
            symbol = row['SYMBOL']

            print("|{:50s} | {:20s} | {:10s} |{:10s} | {:10s} | {:10s} | {:10s} | {:10s} | {:10s} |{:10s} | {:10s} |".format(
                str(row['NAME OF COMPANY']),
                row['SYMBOL'],row[' DATE OF LISTING'], str(row[' FACE VALUE']),
                TC[index].rjust(10),
                FC[index].rjust(10),
                LP[index].rjust(10),
                MA[index].rjust(10),
                SE[index].rjust(10),
                IND[index].rjust(10),
                BAS[index].rjust(10)))

    except KeyboardInterrupt:
        sys.exit()

Please help…
Best Regards,
S