Python web scraping

	#Run request
	url = "https://nanolooker.com/account/" + address
    response = requests.get(url)

    if response.ok:
        # Make some soup
    	soup = BeautifulSoup(response.text, "lxml")

        #Show the title
    	print("The title is: " + str(soup.title.string))

Python web scraping project

def extract_company_from_result(soup):   companies = []  for div in soup.find_all(name=”div”, attrs={“class”:”row”}):    company = div.find_all(name=”span”, attrs={“class”:”company”})    if len(company) > 0:      for b in company:        companies.append(b.text.strip())    else:      sec_try = div.find_all(name=”span”, attrs={“class”:”result-link-source”})        for span in sec_try:          companies.append(span.text.strip()) return(companies) extract_company_from_result(soup)

Source: medium.com

Web scraping using python code

>>> 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'


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')

How to do web scraping python

Web Scraping  - Python

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