Scraping Is a very essential skill for everyone to get data from any website. In this article, we are going to see how to scrape images from websites using python. For scraping images, we will try different approaches.
Method 1: Using BeautifulSoup and Requests
- bs4: Beautiful Soup(bs4) is a Python library for pulling data out of HTML and XML files. This module does not come built-in with Python. To install this type the below command in the terminal.
pip install bs4
- requests: Requests allows you to send HTTP/1.1 requests extremely easily. This module also does not come built-in with Python. To install this type the below command in the terminal.
pip install requests
Approach:
- Import module
- Make requests instance and pass into URL
- Pass the requests into a Beautifulsoup() function
- Use ‘img’ tag to find them all tag (‘src ‘)
Implementation:
Python3
import requests from bs4 import BeautifulSoup def getdata(url): r = requests.get(url) return r.text soup = BeautifulSoup(htmldata, 'html.parser') for item in soup.find_all('img'): print(item['src']) |
Output:
https://media.geeksforgeeks.org/wp-content/cdn-uploads/20201018234700/GFG-RT-DSA-Creative.png
https://media.geeksforgeeks.org/wp-content/cdn-uploads/logo-new-2.svg
Method 2: Using urllib and BeautifulSoup
urllib : It is a Python module that allows you to access, and interact with, websites with their URL. To install this type the below command in the terminal.
pip install urllib
Approach:
- Import module
- Read URL with urlopen()
- Pass the requests into a Beautifulsoup() function
- Use ‘img’ tag to find them all tag (‘src ‘)
Implementation:
Python3
from urllib.request import urlopenfrom bs4 import BeautifulSoup soup = BeautifulSoup(htmldata, 'html.parser')images = soup.find_all('img') for item in images: print(item['src']) |
Output:
https://media.geeksforgeeks.org/wp-content/cdn-uploads/20201018234700/GFG-RT-DSA-Creative.png
https://media.geeksforgeeks.org/wp-content/cdn-uploads/logo-new-2.svg
