YouTube Trends Scraper: Breakout Keywords & SEO ($0.30/1k)
Pricing
from $0.30 / 1,000 result scrapeds
YouTube Trends Scraper: Breakout Keywords & SEO ($0.30/1k)
Extract YouTube search trends, breakout video keywords (+5,000%), viewer geography, and historical YouTube topic demand. Supports bulk keyword lists (up to 100), category filters, and flat JSON or Excel/CSV.
Pricing
from $0.30 / 1,000 result scrapeds
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UnitBytes | Enterprise Web Data
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🎥 YouTube Trends Scraper — Breakout Keywords & Video SEO
Find breakout YouTube topics before they saturate. Query Google's dedicated YouTube Search Index directly to extract Breakout YouTube searches (
+5,000%), historical viewer search timelines, top viewer countries/states, and related video topics—up to 100 YouTube keywords in a single run.
| ⚡ UnitBytes · Search Trends & Market Demand Intelligence Suite | |||||
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🎥 YouTube Trends Scraper 📍 You are here Breakout YouTube search queries, video topics & viewer regions |
🔥 Google Trending Now Realtime Viral Spikes 4h/24h/48h/7d trending searches, volumes & breaking news |
🛍️ Google Shopping Trends E-Commerce & Product Research Breakout physical products, seasonal buyer demand & regions | |||
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📈 Google Trends All-in-One Scraper Marketers & Spreadsheets 20-year timelines, DMA heatmaps, bulk 100 keywords & Excel/CSV |
⚡ Google Trends Fast API Developers & AI Agents (MCP) Sub-second REST API & unnested flat JSON for LLM pipelines | ||||
✨ Why Use YouTube Trends Scraper?
1. 🎥 100% Dedicated to YouTube Viewer Search Behavior
What people type into the YouTube search bar (how to build ai agents, minecraft tutorial, air fryer recipes) is completely different from what they type into standard Google Web search. This actor queries Google's YouTube Search index (gprop: "youtube") out of the box.
2. ⭐ All 4 YouTube Keyword Datasets in One Run (scrape_type: "all")
By default, a single run extracts:
- 🚀 Breakout & Top Related YouTube Searches (
related_queries): Uncover both evergreen high-volume tags (top) and surging+5,000%Breakout video queries (rising). - 📈 YouTube Search Interest Over Time (
interest_over_time): Track hourly, daily, weekly, or multi-year viewer demand from 2008 to today. - 🌍 Viewer Geography (
interest_by_region): See which countries, states, DMA metros, or cities watch your niche most (COUNTRY,REGION,DMA,CITY). - 🧠 Related YouTube Entities & Topics (
related_topics): Discover connected creators, games, software tools, and Knowledge Graph topics.
3. 📦 Compare 5 Topics Side-by-Side OR Bulk-Screen 100 Keywords
- Shared Scale Comparison (
compare_keywords: true- Default): Compare up to 5 video titles or niches head-to-head on the same 0–100 scale to pick the winning video idea. - Bulk Keyword Research (
compare_keywords: false): Paste up to 100 YouTube keywords in a single run to score an entire content calendar.
🧪 Ready-to-Run Input Examples
1. ⭐ Complete YouTube Niche Intelligence (Timeline + Regions + Breakout Queries + Topics)
{"scrape_type": "all","keywords": ["AI Agents", "Claude Code"],"predefined_timeframe": "today 3-m","common_geo": "US"}
2. 🎮 Gaming Niche Breakout Tag Finder (category: 8 = Games)
{"scrape_type": "related_queries","keywords": ["Minecraft", "GTA 6", "Roblox"],"category": 8,"predefined_timeframe": "today 1-m","common_geo": "US"}
3. 📦 Bulk 100-Keyword Video Calendar Screening (compare_keywords: false)
{"scrape_type": "interest_over_time","keywords": ["python tutorial","cursor ide","n8n automation","claude mcp","local llm","rag tutorial"],"compare_keywords": false,"predefined_timeframe": "today 12-m","common_geo": "US"}
📤 Sample Output Data (output_format: "flat")
[{"scrape_type": "related_queries","event_index": 1,"error": false,"subset": "rising","original_keyword": "AI Agents","related_keyword": "claude code tutorial","value": 5000},{"scrape_type": "interest_over_time","event_index": 2,"error": false,"keyword": "AI Agents","value": 92,"date": "2026-10-18T00:00:00+00:00","isPartial": false}]
⚙️ Input Parameters Reference
| Parameter | Type | Default | Description |
|---|---|---|---|
keywords | array[string] | ["AI Agents", "Claude Code"] | YouTube search terms to analyze (up to 5 in comparative mode, or up to 100 when compare_keywords: false) |
scrape_type | string | "all" | "all" (all 4 datasets), "related_queries", "interest_over_time", "interest_by_region", or "related_topics" |
compare_keywords | boolean | true | true compares up to 5 keywords on a shared 0–100 scale. false runs up to 100 keywords independently |
category | integer | 0 | Niche filter (0 = All, 3 = Entertainment, 5 = Tech, 8 = Gaming, 20 = Sports, 45 = Health, 71 = Food) |
predefined_timeframe | string | "today 12-m" | now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all |
custom_timeframe | string | "" | Custom date range 'YYYY-MM-DD YYYY-MM-DD' |
common_geo | string | "US" | 2-letter ISO country code (US, GB, CA, IN, etc.), country name, or WORLDWIDE |
custom_geo_code | string | "" | Sub-region code (US-CA, US-NY, etc.) |
geo_resolution | string | "COUNTRY" | Regional granularity: COUNTRY, REGION, DMA, or CITY |
output_format | string | "flat" | "flat" (1 row per data point for Excel/CSV/APIs) or "legacy" (nested JSON envelope) |
max_events | integer | 10000 | Maximum number of results to extract |
💎 Pay-Per-Event Pricing (Zero Start Penalty)
| Apify Plan Tier | Unit Price per Data Point | Cost per 25-Item Query | Run Start Fee |
|---|---|---|---|
| Free | $0.00045 | ~$0.011 (1.1¢) | $0.00 ($0.00005) |
| Starter | $0.00040 | ~$0.010 (1.0¢) | $0.00 ($0.00005) |
| Scale | $0.00035 | ~$0.008 (0.8¢) | $0.00 ($0.00005) |
| Enterprise | $0.00030 | ~$0.007 (0.7¢) | $0.00 ($0.00005) |
📞 Support & Feedback
- 🐛 Bug Reports & Feature Requests: Open a ticket on the Apify Issues Tab
- 💬 Creator Profile: unitbytes on Apify
⚖️ Compliance & Privacy
This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC, YouTube, or Alphabet Inc. It retrieves only publicly available, aggregate search statistics published by Google Trends and does not collect or process any personal data. Read Apify's guide on the legality of web scraping.