Get data from the URL and then call json.loads e.g.

Python3 example:

import urllib.request, json 
with urllib.request.urlopen("http://maps.googleapis.com/maps/api/geocode/json?address=google") as url:
    data = json.loads(url.read().decode())
    print(data)

Python2 example:

import urllib, json
url = "http://maps.googleapis.com/maps/api/geocode/json?address=google"
response = urllib.urlopen(url)
data = json.loads(response.read())
print data

The output would result in something like this:

{
"results" : [
    {
    "address_components" : [
        {
            "long_name" : "Charleston and Huff",
            "short_name" : "Charleston and Huff",
            "types" : [ "establishment", "point_of_interest" ]
        },
        {
            "long_name" : "Mountain View",
            "short_name" : "Mountain View",
            "types" : [ "locality", "political" ]
        },
        {
...

You were close:

import requests
import json
response = json.loads(requests.get("your_url").text)

Ok so I had a lot of trouble interacting with the site. I decided to just go with the webbrowser library.

import webbrowser
chrome_path="C:xxx\\Google\\Chrome\\Application\\chrome.exe"
webbrowser.register('chrome', None,webbrowser.BackgroundBrowser(chrome_path))
url = 'http://testsite/csv?date=2019-07-18'

Setting chrome to download files automatically populates my download folder from where i can automate everything else :)

Don't use beautiful soup to process a json http response. Use something like requests:

url = "https://www.daraz.pk/womens-kurtas-shalwar-kameez/?pathInfo=womens-kurtas-shalwar-kameez&page=2&YII_CSRF_TOKEN=31eb0a5d28f4dde909d3233b5a0c23bd03348f69&more_products=true"
header = {'x-requested-with': 'XMLHttpRequest'}
t = requests.get(url, headers=True)
newDictionary=json.loads(t)
print (newDictionary)

The beautiful soup object can't be parsed with json.loads() that way.

If you have HTML data on some of those json keys then you can use beautiful soup to parse those string values individually. If you have a key called content on your json, containing html, you can parse it like so:

BeautifulSoup(newDictionary.content, "lxml")

You may need to experiment with different parsers, if you have fragmentary html.