Download YouTube comments from numerous videos, playlists, and channels for archiving, general search, and showing activity.

YouTube Scraper for effortless public YouTube data collection, including video and channel information.

Application made for youtube content creators to know their reviews separately as positive and negative comments.

YouTube Sentiment Analysis is a web application that analyzes the sentiment of YouTube comments, providing insights into comment sentiment using VADER sentiment analysis and interactive visualizations.

Developed project with intention of understanding of web scrapping, api integration, talking to 3rd party libraries

YouTube API implementation with Meta's Llama 2 to analyze comments and sentiments

Download Comments from Youtube Video without difficulty, build and deploy using Streamlit. Based on Youtube-comment-downloader library.

Scraped YouTube site for video links and other meta-data

I have shared the way how to scrape YouTube video comments, you can use web scraping tools such as Python's Beautiful Soup, youtube-comment-scraper-python, and Selenium. After scrapping the comments you can save it in CSV file by using pandas library.

You can extract YouTube comments using Selenium. (username, comment) and It can be saved as txt,xlsx file. (default:xlsx)

Simple javascript Google Sheets script to download Youtube videos comments using Youtube Data API

Script that allows you to pull comments using the Youtube API

simple script for downloading Youtube comments without using the Youtube API

YouTube Yorum Çekme Botu Python Selenium

I implemented data scraping from YouTube comments using a Python script and the Google API key. By leveraging the power of automation, I collected valuable insights from user comments on YouTube videos. This project highlights my proficiency in web scraping, API integration and data analysis.

유튜브 댓글을 통한 추첨을 도와주는 사이트입니다.

Youtube Comment Scrapping

YouTube Comment Analyzer Chrome Extension

This repository contains basic Python projects that demonstrate encoding-decoding, YouTube video management, and Linux basics. These projects were ideated by me and brought to life with the help of AI.