How to Scrape Videos using Python ? Last Updated : 30 Nov, 2021 Comments Improve Suggest changes Like Article Like Report Prerequisite: requestsBeautifulSoup In this article, we will discuss web scraping of videos using python. For web scraping, we will use requests and BeautifulSoup Module in Python. The requests library is an integral part of Python for making HTTP requests to a specified URL. Whether it be REST APIs or Web Scraping, requests are must be learned for proceeding further with these technologies. When one makes a request to a URI, it returns a response. Python requests provide inbuilt functionalities for managing both the request and response. pip install requests Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. pip install bs4 Let's Understand Step by step implementation: Import Required Module Python3 # Import Required Module import requests from bs4 import BeautifulSoup Parse HTML Content Python3 # Web URL Web_url = "Enter WEB URL" # Get URL Content r = requests.get(Web_url) # Parse HTML Code soup = BeautifulSoup(r.content, 'html5lib') Count How many videos are there on the web page. In HTML For displaying video, we use video tag. Python3 # List of all video tag video_tags = soup.findAll('video') print("Total ",len(video_tags),"videos found") Iterate through all video tags and fetch video URL Python3 for video_tag in video_tags: video_url = video_tag.find("a")['href'] print(video_url) Below is the Implementation: Python3 # Import Required Module import requests from bs4 import BeautifulSoup # Web URL Web_url = "https://www.geeksforgeeks.org/make-notepad-using-tkinter/" # Get URL Content r = requests.get(Web_url) # Parse HTML Code soup = BeautifulSoup(r.content, 'html.parser') # List of all video tag video_tags = soup.findAll('video') print("Total ", len(video_tags), "videos found") if len(video_tags) != 0: for video_tag in video_tags: video_url = video_tag.find("a")['href'] print(video_url) else: print("no videos found") Output: Total 1 videos found https://media.geeksforgeeks.org/wp-content/uploads/15.webm Comment More infoAdvertise with us Next Article How to Scrape Videos using Python ? A abhigoya Follow Improve Article Tags : Python Python BeautifulSoup Python bs4-Exercises Practice Tags : python Similar Reads How to Scrape Multiple Pages of a Website Using Python? Web Scraping is a method of extracting useful data from a website using computer programs without having to manually do it. This data can then be exported and categorically organized for various purposes. Some common places where Web Scraping finds its use are Market research & Analysis Websites 6 min read Python | Play a video using OpenCV OpenCV (Open Source Computer Vision) is a computer vision library that contains various functions to perform operations on Images or videos. OpenCV library can be used to perform multiple operations on videos. Letâs see how to play a video using the OpenCV Python. To capture a video, we need to crea 2 min read Image Scraping with Python 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 l 2 min read Python | Tools in the world of Web Scraping Web page scraping can be done using multiple tools or using different frameworks in Python. There are variety of options available for scraping data from a web page, each suiting different needs. First, let's understand the difference between web-scraping and web-crawling. Web crawling is used to in 4 min read Python Web Scraping Tutorial Web scraping is the process of extracting data from websites automatically. Python is widely used for web scraping because of its easy syntax and powerful libraries like BeautifulSoup, Scrapy, and Selenium. In this tutorial, you'll learn how to use these Python tools to scrape data from websites and 10 min read Like