sabamadadi/YouTube-Videos-Analysis
This project analyzes YouTube trending videos to uncover how content features, upload times, and categories influence performance, using EDA, visualizations, and statistical tests to provide insights into viral trends and engagement patterns.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/sabamadadi/YouTube-Videos-Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
Altimis/Scweet
A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers,...
lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser...
soxoj/maigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
0x676e67/wreq-python
An ergonomic Python HTTP Client with TLS fingerprint