Youtube Python Web Scraping



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  1. Python Web Scraping Tutorial
  2. Python Web Scraping Library
  3. Python Web Scraping Youtube Videos

Python selenium web-scraping youtube user-input. Improve this question. Follow edited Feb 24 at 21:35. 5,173 4 4 gold badges 15 15 silver badges 21 21. So i built this small script that would give back a URL of any searched video on youtube. But after opening it up again turns out that the web scraping with youtube is not working out properly. As when printing soup it returns something completely different than from what can be seen with inspect element on Youtube. Can someone help me solve. Web scraping with Python is easy due to the many useful libraries available. A barebones installation isn’t enough for web scraping. One of the Python advantages is a large selection of libraries for web scraping. For this Python web scraping tutorial, we’ll be using three important libraries – BeautifulSoup v4, Pandas, and Selenium. Hashes for youtube-video-scraping-1.0.0.tar.gz; Algorithm Hash digest; SHA256: 7455e7d121e8781e8bc795fccf2e647e67bec798cc6b18d0de8a86: Copy MD5.

Released:

A python library to scrape video's comments data from youtube automatically.

Project description

Youtube-Comment-Scraper-Python is a python library to fetch video comments on youtube using browser automation.It currently runs only on windows.

Example1

Scraping

In this example we first import library, then we will open the video and fetch comments one time only.

Example2:- Load More Comments

In this example we first import library, then we will open the video and fetch the comments five times, as it scrolls whenever function called.

This module depends on the following python modules

BotStudio

bot_studio is needed for browser automation. As soon as this library is imported in code, automated browser will open up in which video will be opend and comments will be fetched.

Complete documentation for YouTube Automation available here

Installation

Import

Youtube

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Open video link

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Youtube python web scraping videos

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Files for youtube-comment-scraper-python, version 1.0.0
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Hashes for youtube-comment-scraper-python-1.0.0.tar.gz
AlgorithmHash digest
SHA256c483a74d89901a36b255aafa13a1cf8ec96cf2fe11ed72ece574cea56fa23467
MD5da0bcef686ca959a99ffa2110cb8980d
BLAKE2-256c548b9fe6ab906b39f63e8fbf78cd0f09f41cf5f0f07782e0311210371672bef
Latest version

Released:

A python library to scrape video's comments data from youtube automatically.

Project description

Youtube-Comment-Scraper-Python is a python library to fetch video comments on youtube using browser automation.It currently runs only on windows.

Example1

In this example we first import library, then we will open the video and fetch comments one time only.

Example2:- Load More Comments

In this example we first import library, then we will open the video and fetch the comments five times, as it scrolls whenever function called.

This module depends on the following python modules

BotStudio

bot_studio is needed for browser automation. As soon as this library is imported in code, automated browser will open up in which video will be opend and comments will be fetched.

Complete documentation for YouTube Automation available here

Installation

Import

Python Web Scraping Tutorial

Login with credentials

Login with cookies

Open video link

Get comments

Send Feedback to Developers

Youtube python web scraping tutorial

Contact Us

Release historyRelease notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for youtube-comment-scraper-python, version 1.0.0
Filename, sizeFile typePython versionUpload dateHashes
Filename, size youtube-comment-scraper-python-1.0.0.tar.gz (2.6 kB) File type Source Python version None Upload dateHashes

Python Web Scraping Library

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Hashes for youtube-comment-scraper-python-1.0.0.tar.gz

Python Web Scraping Youtube Videos

Hashes for youtube-comment-scraper-python-1.0.0.tar.gz
AlgorithmHash digest
SHA256c483a74d89901a36b255aafa13a1cf8ec96cf2fe11ed72ece574cea56fa23467
MD5da0bcef686ca959a99ffa2110cb8980d
BLAKE2-256c548b9fe6ab906b39f63e8fbf78cd0f09f41cf5f0f07782e0311210371672bef