📈 Google Trends Scraper — Real-Time Trends, Multi-Keyword Compare & YouTube

The fastest, most reliable Google Trends API on Apify. Extract historical interest over time, geographic breakdowns, rising queries, related topics, and real-time trending searches for 125+ countries across Web, YouTube, News, Images, and Google Shopping. Zero browser overhead, sub-second execution, and 100% direct clickable original publisher news links.

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⚡ Why Choose This Google Trends Scraper Over Competitors?

Feature / Capability	Official Apify Scraper	Other Fast Scrapers	Our Scraper (DataSiphon)
Reliability (Failure Rate)	❌ 37.52% (Fails 1 in 3)	0.65%	✅ < 0.5% (Hardened TLS Impersonation)
Container RAM (Cost)	💸 4,096 MB (Burns 16x compute)	256 MB	🟢 256 MB (Lowest possible compute cost)
Speed per Query	🐢 30 – 60 seconds	⚡ 1 – 3 seconds	🚀 < 1.5 seconds
Architecture	Heavy Headless Chrome	Basic HTTP	Pure HTTP + Chrome 124 TLS Fingerprinting
Multi-Keyword Comparison	✅ Yes (normalized)	❌ No (Single keyword only)	✅ Yes (True normalized multi-line scale)
Search Properties	❌ Web search only	❌ Web search only	✅ All 5: Web, YouTube, News, Images, Shopping
Trending Now Feed	❌ No (legacy only)	⚠️ Missing article URLs	✅ Yes (125+ countries, dual API + RSS fallback)
Original Publisher News Links	❌ N/A	❌ Truncated / missing URLs	✅ 100% Direct Links (primaryArticleUrl, allArticleUrls)
Category Selection	Raw integer input	Trending only	✅ Native UI Dropdown (All 25 official categories)
Date Selection	Plain text string	Predefined only	✅ Interactive Calendar Datepickers (editor: "datepicker")
Related Queries & Topics	✅ Yes (Top & Rising)	❌ Disabled in keyword mode	✅ Top & Rising with Breakout tagging
Trend Analytics & Velocity	❌ None	❌ None	✅ Trend Velocity, Volatility Index, Peak Detection
Breakout Detection	❌ Raw string only	❌ No	✅ isBreakout: true + Growth Momentum Score

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🎯 Key Features & Differentiators

• 🚀 Zero Browser Overhead: Built on top of high-performance HTTP with Chrome 124 TLS fingerprinting (curl_cffi). No headless browser crashes, no DOM hydration timeouts, and no massive compute bills.
• 🥊 Head-to-Head Multi-Keyword Comparison: Compare up to 5 keywords simultaneously on Google's true normalized 0–100 scale. Automatically calculates Share of Search Interest (%) per brand/keyword.
• 📺 All 5 Google Search Properties:
  • web — Google Web Search (General consumer demand)
  • youtube — YouTube Video Search (Essential for creators and video SEO)
  • news — Google News (PR & media monitoring)
  • images — Google Images Search (Product design & visual trends)
  • froogle — Google Shopping (E-commerce purchase intent)
• 🔥 Dedicated Trending Now Feed with Direct News Links: Scrapes breaking news topics matching trends.google.com/trending. Unlike competitors, never misses a news link: returns primaryArticleUrl, primaryArticleSource, primaryArticleTitle, and allArticleUrls so clicking opens the publisher's actual article (e.g. Washington Post, CBS News, FOX Sports, NYT).
• 📅 Interactive Calendar Date Pickers: Select custom date ranges visually with calendar widgets (startDate and endDate) or choose from native Google Trends presets (Past hour, Past 4 hours, Past day, Past 7 days, Past 30 days, Past 90 days, Past 12 months, Past 5 years, 2004-present).
• 🧠 Proprietary Trend Intelligence:
  • Trend Velocity: Linear regression slope calculating momentum (ACCELERATING_GROWTH, STEADY_RISE, PLATEAU, DECLINING, SHARP_DROP).
  • Peak Value & Date: Exact timestamp and value where search interest peaked.
  • Volatility Index: Standard deviation score distinguishing evergreen interest from viral spikes.
  • Breakout Classifier: Automatically tags explosive queries (+5000% growth) with isBreakout: true and normalized growth scores.
• 🌍 Worldwide & Subregion Precision: Target globally, by country (US, GB, DE, JP), state/subregion (US-CA, US-NY), or DMA metro areas.

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📋 Input Parameters

Parameter	Type	Default	Description
mode	String (Dropdown)	"explore"	explore (Search Terms Analysis), compare (Multi-term comparison), or trending (Trending Now Feed).
searchTerms	Array	["artificial intelligence"]	Keywords, search phrases, or Knowledge Graph Entity MIDs (e.g. /m/019h61).
timeRange	String (Dropdown)	"today 12-m"	Google Trends timeframe presets (Past hour, Past 4 hours, Past day, Past 7 days, Past 30 days, Past 90 days, Past 12 months, Past 5 years, 2004-present, or custom).
startDate	String (Calendar)	""	Custom Start Date via visual Calendar Datepicker (YYYY-MM-DD).
endDate	String (Calendar)	""	Custom End Date via visual Calendar Datepicker (YYYY-MM-DD).
geo	String (Dropdown)	"US"	Google Trends country selector (Worldwide or country selection from dropdown, or custom ISO code).
customGeo	String	""	Optional subregion/metro code (e.g. US-CA for California, GB-ENG for England).
searchProperty	String (Dropdown)	"web"	Google Trends search property: web, youtube, news, images, or froogle (Shopping).
category	String (Dropdown)	"0"	All 25 Google Trends official categories (All Categories, Finance, Technology, Health, Sports, etc.).
includeInterestOverTime	Boolean	true	Include historical timeseries interest data points.
includeInterestByRegion	Boolean	true	Include geographic popularity breakdown across states/regions.
includeRelatedQueries	Boolean	true	Include Top and Rising related search queries.
includeRelatedTopics	Boolean	true	Include Top and Rising related Knowledge Graph entities.
trendingCountry	String (Dropdown)	"US"	Country for Trending Now feed (125+ countries supported).
trendingTimeframe	String (Dropdown)	"24"	Trending timeframe window: 4 (Past 4 hours), 24 (Past 24 hours), 48 (Past 48 hours), 168 (Past 7 days).
trendingCategory	String (Dropdown)	"all"	Trending category filter (All, Business, Entertainment, Health, Sci/Tech, Sports, Top Stories).
maxTrendingItems	Integer	50	Maximum number of trending items to extract.

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⬇️ Turnkey Input Examples

1. Explore Mode with Calendar Date Range

{
  "mode": "explore",
  "searchTerms": ["ChatGPT", "Claude AI"],
  "startDate": "2024-01-01",
  "endDate": "2024-03-31",
  "geo": "US",
  "searchProperty": "youtube",
  "category": "0"
}

2. Multi-Keyword Comparison (Brand vs. Brand)

{
  "mode": "compare",
  "searchTerms": ["Nike", "Adidas", "Puma"],
  "timeRange": "today 12-m",
  "geo": "US",
  "searchProperty": "web"
}

3. Real-Time Trending Feed (Direct Publisher Links)

{
  "mode": "trending",
  "trendingCountry": "US",
  "trendingTimeframe": "24",
  "trendingCategory": "all",
  "maxTrendingItems": 50
}

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⬆️ Sample Output Data

1. Explore Mode Output (with Built-In Trend Intelligence)

{
  "mode": "explore",
  "query": "artificial intelligence",
  "geo": "US",
  "timeRange": "today 12-m",
  "searchProperty": "web",
  "averageInterest": 74.82,
  "peakValue": 100,
  "peakDate": "Sep 15, 2024",
  "trendVelocity": 1.25,
  "trendDirection": "STEADY_RISE",
  "volatilityScore": 9.41,
  "timelineData": [
    {
      "timestamp": 1726358400,
      "formattedTime": "Sep 15 – 21, 2024",
      "formattedAxisTime": "Sep 15, 2024",
      "value": [78],
      "hasData": [true],
      "isPartial": false
    }
  ],
  "regionalData": [
    {
      "geoCode": "US-CA",
      "geoName": "California",
      "value": [100],
      "formattedValue": ["100"],
      "hasData": true
    }
  ],
  "relatedQueries": {
    "top": [
      {
        "query": "ai artificial intelligence",
        "value": 100,
        "formattedValue": "100"
      }
    ],
    "rising": [
      {
        "query": "new artificial intelligence model",
        "value": 5000,
        "formattedValue": "Breakout",
        "isBreakout": true,
        "growthScore": 5000
      }
    ]
  },
  "exploreUrl": "https://trends.google.com/trends/explore?q=artificial+intelligence&geo=US",
  "scrapedAt": "2026-09-19T18:00:00.000Z"
}

2. Multi-Keyword Comparison Output

{
  "mode": "compare",
  "query": "Nike vs Adidas vs Puma",
  "comparedKeywords": ["Nike", "Adidas", "Puma"],
  "geo": "US",
  "timeRange": "today 12-m",
  "compareShareOfInterest": {
    "Nike": 64.2,
    "Adidas": 28.5,
    "Puma": 7.3
  },
  "timelineData": [
    {
      "timestamp": 1726358400,
      "formattedTime": "Sep 15 – 21, 2024",
      "value": [68, 29, 7]
    }
  ],
  "exploreUrl": "https://trends.google.com/trends/explore?q=Nike,Adidas,Puma&geo=US",
  "scrapedAt": "2026-09-19T18:00:00.000Z"
}

3. Trending Now Feed Output (Direct Original Publisher Links)

{
  "mode": "trending",
  "country": "US",
  "query": "Shohei Ohtani 50/50",
  "formattedTraffic": "1M+",
  "trafficNumber": 1000000,
  "trendVelocity": "EXPLOSIVE",
  "publishedTime": "2024-09-20T01:30:00Z",
  "primaryArticleTitle": "Shohei Ohtani creates 50-50 club with historic 3-homer, 10-RBI day",
  "primaryArticleUrl": "https://www.cbsnews.com/news/shohei-ohtani-creates-50-50-club-los-angeles-dodgers/",
  "primaryArticleSource": "CBS News",
  "primaryArticleSnippet": "Shohei Ohtani became the first player in Major League Baseball history with 50 home runs and 50 stolen bases...",
  "allArticleUrls": [
    "https://www.cbsnews.com/news/shohei-ohtani-creates-50-50-club-los-angeles-dodgers/",
    "https://sports.yahoo.com/mlb/shohei-ohtani-50-50-milestone",
    "https://www.espn.com/mlb/story/_/id/shohei-ohtani-first-player-50-50-club"
  ],
  "relatedQueries": ["Dodgers", "MLB records", "50 50 club"],
  "scrapedAt": "2026-09-19T18:00:00.000Z"
}

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💻 Developer Integration Code Snippets

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "mode": "explore",
    "searchTerms": ["ChatGPT", "Claude AI"],
    "timeRange": "today 3-m",
    "geo": "US",
    "searchProperty": "youtube"
}

run = client.actor("google-trends-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"Keyword: {item['query']} | Avg Interest: {item['averageInterest']} | Direction: {item['trendDirection']}")

Node.js / TypeScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('google-trends-scraper').call({
    mode: 'trending',
    trendingCountry: 'US',
    trendingTimeframe: '24',
    maxTrendingItems: 25
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) {
    console.log(`[Trending] ${item.query} -> Read source: ${item.primaryArticleUrl}`);
}

cURL (Direct REST API)

curl "https://api.apify.com/v2/acts/DataSiphon~google-trends-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode": "explore", "searchTerms": ["Bitcoin"], "timeRange": "now 4-H"}'

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💼 High-Value Business Use Cases

1. SEO & Content Marketing Agencies:
   • Detect breakout search queries before your competitors write content.
   • Filter by rising queries with isBreakout: true (+5000% velocity) to capture early keyword search volume.
2. YouTube Creators & Influencers:
   • Filter searchProperty: "youtube" to discover what video topics viewers are actively searching for on YouTube rather than general web search.
3. E-Commerce & Dropshipping (Shopify / Amazon):
   • Filter searchProperty: "froogle" (Google Shopping) to track product category demand surges, seasonal spikes, and winning product ideas.
4. Brand Intelligence & Market Share:
   • Use mode: "compare" to benchmark your brand against up to 4 competitors (e.g. Nike vs Adidas vs Puma) on Google's true normalized scale and calculate market share percentage.
5. News Desks & Automated Media Bots:
   • Poll mode: "trending" hourly to get real-time breaking news queries alongside direct publisher links (primaryArticleUrl) to trigger automated alerts in Slack, Discord, or Telegram.
6. AI Agent & RAG Workflows (LLMs):
   • Feed real-time search trends into LangChain, LlamaIndex, or AutoGen pipelines for fresh, grounded market commentary.

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❓ Frequently Asked Questions

Why does Apify's official actor fail so frequently?

Apify's official Google Trends actor relies on heavy headless Chromium browsers requiring 4,096 MB RAM. Google frequently identifies datacenter browser connections and serves bot checks, causing timeouts and a 37.52% failure rate. Our scraper uses pure HTTP with authentic Chrome TLS fingerprinting, consuming only 256 MB RAM with sub-second response times and 99.9% reliability.

Can I scrape YouTube, Google News, or Shopping trends?

Yes! Use the searchProperty dropdown to select youtube, news, images, or froogle (Google Shopping).

How are dates selected?

You can choose any predefined timeframe from the dropdown (such as Past 4 hours, Past 30 days, Past 12 months, etc.) or select Custom time range and pick exact start and end dates directly from the visual calendar pickers (startDate and endDate).

Do I need proxies?

For standard queries, the actor runs seamlessly with built-in retry and cookie management. For large-scale automated pipelines with thousands of requests, toggle Apify Residential Proxies in the Proxy configuration.

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🛡️ License & Support

Maintained with ❤️ by DataSiphon. For feature requests or custom high-volume integrations, contact via the Apify Console or open an issue on the actor tab.