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The duration of the video: # get the duration of the video Result = soup.find("meta", itemprop="datePublished") The date when the video was published: # date published Result = soup.find("meta", itemprop="description")
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Get the video description: # video description Result = result = soup.find("meta", itemprop="interactionCount")
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Number of views converted to an integer: # video views (converted to integer) Result = soup.find("meta", itemprop="name") Retrieving the video title: # video title Note that if you get timeout error, then you can simply add timeout parameter and set it to 60 seconds (default is 8 seconds) or something, like so: (sleep=1, timeout=60) Notice after we downloaded the HTML content of the web page, we ran render() method to execute Javascript, so that the data we're looking for, is rendered in the HTML. # create beautiful soup object to parse HTML Let's make a function, given an URL of a YouTube video, it will return all the data in a dictionary: def get_video_info(url): Importing necessary modules: from requests_html import HTMLSessionīefore we make our function that extract all video data, let's initialize our HTTP session: # init session Now let's make our script that extracts some useful information we can get from a YouTube video page, open up a new Python file and follow along: This way, you will be able to extract everything you want from that web page. Or the number of views: In : soup.find("meta", itemprop="interactionCount") For example, we can get the video title by: In : soup.find("meta", itemprop="name") Great, now let's try to find all meta tags in the page: In : soup.find_all("meta")Įasy as that, a lot of useful data here. This makes a request to that YouTube video URL, renders the Javascript and finally creates the BeatifulSoup object wrapping the resulting HTML.
#Youtube playlist link extractor online how to#
Installing required dependencies: pip3 install requests_html bs4īefore we dive into the quick script, we gonna need to experiment on how to extract such data from websites using BeautifulSoup, open up a Python interactive shell and write these lines of code: from requests_html import HTMLSessionįrom bs4 import BeautifulSoup as bs # importing BeautifulSoup Related: How to Extract YouTube Comments in Python. Therefore, for more reliable use, I suggest you use YouTube API for extracting data instead.
#Youtube playlist link extractor online code#
Note that it isn't reliable to use this method to extract YouTube data, as YouTube keeps changing their code, the code can not work in any time. In this tutorial, you will learn how to extract data from YouTube videos using requests_html and BeautifulSoup in Python. Since YouTube is the biggest video sharing website in the internet, extracting data from it can be very helpful, you can find the most popular channels, keeping track on the popularity of channels, recording likes, dislikes and views on videos and much more. It is a form of copying, in which specific data is gathered and copied from the web into a central local database or spreadsheet for later analysis or retrieval. Web scraping is extracting data from websites.