scraping with python code example
Example 1: web scraping python
#pip install beautifulsoup4
import os
import requests
from bs4 import BeautifulSoup
url = "https://www.google.com/"
reponse = requests.get(url)
if reponse.ok:
soup = BeautifulSoup(reponse.text, "lxml")
title = str(soup.find("title"))
title = title.replace("<title>", "")
title = title.replace("</title>", "")
print("The title is : " + str(title))
os.system("pause")
#python (code name).py
Example 2: python web scraping
import requests
from bs4 import BeautifulSoup
URL = 'https://www.monster.com/jobs/search/?q=Software-Developer&where=Australia'
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
Example 3: python web scraping
# basic web scraping with python
# Import libraries
import requests
import urllib.request
import time
from bs4 import BeautifulSoup
# Set the URL you want to webscrape from
url = 'http://web.mta.info/developers/turnstile.html'
# Connect to the URL
response = requests.get(url)
# Parse HTML and save to BeautifulSoup object¶
soup = BeautifulSoup(response.text, "html.parser")
# To download the whole data set, let's do a for loop through all a tags
line_count = 1 #variable to track what line you are on
for one_a_tag in soup.findAll('a'): #'a' tags are for links
if line_count >= 36: #code for text files starts at line 36
link = one_a_tag['href']
download_url = 'http://web.mta.info/developers/'+ link
urllib.request.urlretrieve(download_url,'./'+link[link.find('/turnstile_')+1:])
time.sleep(1) #pause the code for a sec
#add 1 for next line
line_count +=1
Example 4: web scraping python
Python OneStop Solution..
link: https://github.com/itzanuragsinghania/Python-One-Stop
Example 5: web scraper python
>>> from bs4 import BeautifulSoup
>>> raw_html = open('contrived.html').read()
>>> html = BeautifulSoup(raw_html, 'html.parser')
>>> for p in html.select('p'):
... if p['id'] == 'walrus':
... print(p.text)
'I am the walrus'
Example 6: web scraper python
from requests import get
from requests.exceptions import RequestException
from contextlib import closing
from bs4 import BeautifulSoup