1. 축구중계 ScoreBat API (Football Highlights)

Best for: Soccer/football fans
What it does: Provides real-time highlight videos for matches across major leagues.
Includes video URL, match details, thumbnails, and time.

• Pros: Simple REST API, free tier, fast updates

• Link: https://www.scorebat.com/video-api/

✅ 2. YouTube Data API v3

Best for: Pulling highlights from official YouTube channels (NBA, ESPN, UFC, etc.)
What it does: Allows you to fetch new videos, playlists, titles, publish time, thumbnails, and even search by keywords like “highlight” or “goal”.

• Pros: Widely supported, detailed metadata

• Docs: https://developers.google.com/youtube/v3

Example use case:
Fetch every new upload from NBA and filter for "highlights" in the title.

✅ 3. RapidAPI Sports APIs Hub

A marketplace full of sports APIs—including video, stats, scores, and more.

Popular options inside:

• SportMonks (Football, Cricket)

• TheSportsDB

• API-Football (Match data + highlight embeds)

• Link: https://rapidapi.com/collection/sports-apis

You can combine data from these APIs with your YouTube search automation to cross-match highlight relevance.

✅ 4. ScrapingBee / Puppeteer (Web Scraping Tools)

If no public API is available (e.g., for TikTok or some Twitter content), you’ll need custom scrapers.

• ScrapingBee – Easily extracts data without triggering bot protection
  https://www.scrapingbee.com

• Puppeteer – Headless browser that can click, scroll, and scrape video pages like a human
  https://pptr.dev

Use Case:
Scrape highlight pages from sports blogs, Reddit, or social platforms without API access.

⚠️ Note: Always respect robots.txt and platform TOS when scraping.

✅ 5. Twitter/X API축구중계 v2 + StreamReader

Best for: Real-time highlights from sports accounts
What it does: Tracks tweets with video links or hashtags like #NBATV, #Goal, #PremierLeague

• Docs: https://developer.twitter.com/en/docs/twitter-api

• Advanced Tip: Use StreamReader or Tweepy in Python to monitor tweets and auto-save URLs

???? Bonus: AI-Powered Video Analysis (Experimental)

For cutting-edge builders:
Use tools like Computer Vision APIs or ffmpeg with OpenCV to:

• Detect highlight moments (crowd sound spikes, score overlays)

• Auto-cut highlight segments from long videos

???? Final Toolkit Summary: