News Scraping

• Fetch HTML Page
• Parsing HTML
• Extracting Text

This article discusses everything you need to know about news scraping, including the benefits and use cases of news scraping as well as how you can use Python to create an article scraper.

For a detailed explanation, see our blog post.

Fetch HTML Page

pip3 install requests

Create a new Python file and enter the following code:

import requests
response = requests.get(https://quotes.toscrape.com')

print(response.text) # Prints the entire HTML of the webpage.

Parsing HTML

pip3 install lxml beautifulsoup4

from bs4 import BeautifulSoup
response = requests.get('https://quotes.toscrape.com')
soup = BeautifulSoup(response.text, 'lxml')

title = soup.find('title')

Extracting Text

print(title.get_text()) # Prints page title.

Fine Tuning

soup.find('small',itemprop="author")

soup.find('small',class_="author")

Extracting Headlines

headlines = soup.find_all(itemprop="text")

for headline in headlines:
    print(headline.get_text())

If you wish to find out more about News Scraping, see our blog post.