Extracting Data from Calendar

[AgileAVS]

Look at Web-scraping part-2 God dammit JavaScript, why do i not get all content.
So Selenium would work.

Here a way it can be done if looking at site and try to understand what's going on.
So same cookie and token in a Ajax call do work for different dates,then it can be done like this(the harder way if not using Selenium).
Parsing summary data at bottom of page.

import requests
from bs4 import BeautifulSoup

def stock_data(date):
    cookies = {
        '__cfduid': 'd9beb9712d05492d153761becc05fa2f01581793084',
        'XSRF-TOKEN': 'eyJpdiI6Ilc2VTVTRmd2OWJQQlwvakxmRHMzMGNRPT0iLCJ2YWx1ZSI6IkRLMHQ0Y1MzVUY5bVl4d2UwWVNrSlBGS3hNSmJaXC85MjZTNDNCUFlEM3V3ajV6RDFzS1dxYWY4SXFINFJFUVY5IiwibWFjIjoiYmFmZmVhMzRlNDcxZWU0N2FmN2EzOTQ1MmU1NmEwYTI1MzViM2UyOTA3ZTZhM2Y0YWVjMzYwMjQ2ZDkwYWI0ZSJ9',
        'sharesansar_session': 'eyJpdiI6IkxINjZUakgzdTR3eWplbWVXSThhUEE9PSIsInZhbHVlIjoiM3FqdFIxMnpBbmt5UFFVZXZlN2NNbWpYbkZ1WVljcG5YSGRFNVNpQ1RIV0laRW5DcVZONG1VSXJSTEdLS1NVWCIsIm1hYyI6IjJlMjEwN2RhNWExYzczYjNiMzhmMTkzMmM0ODc4YmFkZWFmNmFiNTMxZjYzNTAxYjM4NGJlMGFlMzM3ZDM1YzcifQ%3D%3D',
    }

    headers = {
        'Connection': 'keep-alive',
        'Accept': '*/*',
        'X-Requested-With': 'XMLHttpRequest',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36',
        'Sec-Fetch-Site': 'same-origin',
        'Sec-Fetch-Mode': 'cors',
        'Referer': 'https://www.sharesansar.com/today-share-price',
        'Accept-Encoding': 'gzip, deflate, br',
        'Accept-Language': 'nb-NO,nb;q=0.9,no;q=0.8,nn;q=0.7,en-US;q=0.6,en;q=0.5',
    }

    params = (
        ('_token', 'nhM8Q4PLiX1hZu1K8W8yCqfP0iF9IsEgnO90e8dT'),
        ('sector', 'all_sec'),
        ('date', date),
    )

    response = requests.get('https://www.sharesansar.com/ajaxtodayshareprice', headers=headers, params=params, cookies=cookies)
    return response

def parse_data(response, date):
    soup = BeautifulSoup(response.content, 'lxml')
    numb_of_compaines = soup.find_all('h4', class_="text-right")
    total_traded_shares = soup.find_all('h4', class_="text-right")
    print(f'-----| {date} |-----')
    print(numb_of_compaines[0].text)
    print(total_traded_shares[1].text)

if __name__ == '__main__':
    for day in range(1,4):
        date = f'2020-02-1{day}'
        response = stock_data(date)
        parse_data(response, date)

Output:
-----| 2020-02-11 |-----
Total number of Compaines: 175
Total Traded Shares: 3,996,877
-----| 2020-02-12 |-----
Total number of Compaines: 173
Total Traded Shares: 3,986,769
-----| 2020-02-13 |-----
Total number of Compaines: 171
Total Traded Shares: 3,720,085

Thank you so so so much, it had been months since I had been trying to do this. I had tried to learn selenium but I failed to do so, anyways thank you so so much.