Created a book which can scrap all the data from wesite

Movies_Webscrapper.ipynb

from bs4 import BeautifulSoup
import requests
import time
import datetime
import csv


Movies_list = requests.get('https://subslikescript.com/movies').text
soup1 = BeautifulSoup(Movies_list,'lxml')
a = (soup1.find('a',class_='page-link').get('href'))
print(a)


def fun(link):
    m = requests.get(link).text
    soup = BeautifulSoup(m,'lxml')
    for word in soup.find_all('a'):
        if word.li != None:
            movieslist = (word.li.text)
            with open('Movies_List.txt','+a',encoding='utf-8') as file:
                file.write(movieslist)
                file.write("\n")
    next_pg_link = (soup.find('a',class_='page-link',rel= 'next').get('href'))
    print(next_pg_link)
    return (next_pg_link)

c = fun(a)
for i in range(5):
    c = fun(c)