Solution 1 : BeautifulSoup has special function get_text() which has option separator to separate text from different children. As default it uses empty string as separtor so you get BulldogFrench…
Solution 1 : I finally did it with json import requests import html5lib import json import time import csv from bs4 import BeautifulSoup def list_of_tags(tags): related_tags = [] for el…
Solution 1 : You should use class_ as a parameter to find_all when looking for multiple classes. The full functional code: from bs4 import BeautifulSoup htmltxt = '<div id="alabama" class="sc-fzoxKX…
Solution 1 : from bs4 import BeautifulSoup data = """ b'<!DOCTYPE HTML>rn <html> rn <head> rn <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> rn <title>TalentHire - Simplified Recruiting and Staffing</title> rn </head> rn…
Solution 1 : This code gives me all data and save in CSV. I had to get only nested tables to make it simpler. Problem is that tables Sales per…
Solution 1 : You get the json directly then can call on that html value. Once you do that, use beautifulsoup to parse the html and print out the context/text…
Solution 1 : import re import csv from itertools import groupby url = 'https://www.osa.ind.in/life-members.php' headers={'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:76.0) Gecko/20100101 Firefox/76.0'} soup = BeautifulSoup(requests.get(url, headers=headers).content, 'html.parser') data =…
Solution 1 : Print the table to screen and save it to csv: import csv import requests from bs4 import BeautifulSoup url = 'https://www.marketscreener.com/DOLLAR-GENERAL-CORPORATIO-5699818/financials/' soup = BeautifulSoup(requests.get(url).content, 'html.parser') all_data =…
Solution 1 : Selenium has many functions to search element and click it to check it. You can use find_element_by_name(name) or find_element_by_xpath(...) when you want to use complex xpath Example…
Solution 1 : You get HTML from subpage but you don’t convert to soup so you search on main page response = requests.get(gymurl) sub_soup = BeautifulSoup(response.text) I had also problem…