How to Scrape Websites with Python using Just 9 Lines of Code

How to Scrape Websites with Python using Just 9 Lines of Code

Introduction to Scraping with Python Using 9 Lines of Code! In this article, I will show you how to scrape links from a test e-commerce site with Python 3.

Introduction to Scraping with Python Using 9 Lines of Code!

Web Scraping is extracting data from websites. In this article, I will show you how to scrape links from a test e-commerce site with Python 3.

Prerequisites

If you haven’t done so already, install beautifulsoup4 and requests.

pip install beautifulsoup4
pip install requests
Start Scraping!

Import external libraries

import requests
from bs4 import BeautifulSoup

Get Website Content with Requests

result = requests.get("https://www.webscraper.io/test-sites/e-commerce/allinone")

Parse Website Content with Beautiful Soup

soup = BeautifulSoup(result.content)

Find Links

links = soup.find_all("a", "title")

Create a Dictionary and Add Links to it

data = {}
for link in links:
    title = link['title']
    data[title] = link.attrs['href']

Check the collection in data.

data
{‘MSI GL62VR 7RFX’: ‘/test-sites/e-commerce/allinone/product/326’,
Dell Vostro 15…’: ‘/test-sites/e-commerce/allinone/product/283’,
Dell Inspiron 17…’: ‘/test-sites/e-commerce/allinone/product/296’}

That’s it!

Gist

Here is the full snippet that you can copy and paste directly to your terminal, favorite text editor, or jupyter notebook.

import requests
from bs4 import BeautifulSoup
result = requests.get("https://www.webscraper.io/test-sites/e-commerce/allinone")
soup = BeautifulSoup(result.content)
links = soup.find_all("a", "title")
data = {}
for link in links:
    title = link.string
    data[title] = link.attrs['href']
Closing

Web scraping is great and can save you plenty of time when you want to quickly extract data from websites.

Thanks for reading !

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