Build a YouTube Trend Tracker with SERP API in 10 Minutes

import requests
import json
from typing import List, Dict
from datetime import datetime

class YouTubeTrendTracker:
    def __init__(self, api_token: str):
        self.api_token = api_token
        self.endpoint = "https://serpapi.talordata.net/serp/v1/request"

    def get_top_youtube_videos(self, niche: str, location: str = None) -> List[Dict]:
        headers = {
            "Authorization": f"Bearer {self.api_token}",
            "Content-Type": "application/x-www-form-urlencoded"
        }

        query = f"{niche} YouTube"
        data = {"engine": "google", "q": query, "json": "2"}
        if location:
            data["location"] = location

        response = requests.post(self.endpoint, headers=headers, data=data)
        response.raise_for_status()
        results = response.json()

        videos = []
        for result in results.get("organic_results", []):
            url = result.get("link", "")
            if "youtube.com" in url or "youtu.be" in url:
                videos.append({
                    "title": result.get("title"),
                    "url": url,
                    "snippet": result.get("snippet", ""),
                    "position": result.get("position")
                })

        return videos

    def save_trends_to_file(self, niche: str, videos: List[Dict]):
        filename = f"youtube_trends_{niche.replace(' ', '_')}_{datetime.now().strftime('%Y%m%d')}.json"
        with open(filename, "w") as f:
            json.dump({
                "niche": niche,
                "date": datetime.now().isoformat(),
                "videos": videos
            }, f, indent=2)
        print(f"Trends saved to {filename}")
        return filename


if __name__ == "__main__":
    API_TOKEN = "YOUR_TALORDATA_API_TOKEN"
    tracker = YouTubeTrendTracker(API_TOKEN)

    NICHE = "AI tools for developers"
    videos = tracker.get_top_youtube_videos(NICHE, location="United States")

    print(f"\nFound {len(videos)} top YouTube videos for '{NICHE}':\n")
    for i, video in enumerate(videos, 1):
        print(f"{i}. {video['title']}\n   {video['url']}\n")

    tracker.save_trends_to_file(NICHE, videos)