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Google Trends Scraper & Search Intelligence API

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from $2.00 / 1,000 google trends exploration queries

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Google Trends Scraper & Search Intelligence API

Google Trends Scraper & Search Intelligence API

Extract real-time Google Trends search interest timeseries (0-100), geographic regional demand, top & breakout rising queries, topics, and live daily trending searches.

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from $2.00 / 1,000 google trends exploration queries

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πŸ“ˆ Google Trends Scraper β€” Real-Time Search Intelligence & Breakouts

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πŸš€ The #1 Most Complete Google Trends Scraper, Search Intelligence & Breakout Query Extractor on Apify.
Extract normalized 0–100 search volume timeseries, geographic interest down to cities and metros, explosive rising breakout queries (+5000% velocity), Google Knowledge Graph entity topics, real-time daily trending searches with volume estimates (e.g. 200K+ searches), and instant autocomplete suggestions in sub-250ms.


πŸš€ Overview & Key Highlights

Google Trends Scraper provides direct, programmatic, high-speed access to Google's worldwide consumer intent database. Built for SEO strategists, e-commerce brands, quantitative hedge funds, product managers, and growth marketers who need real-time consumer search trends without the instability of unofficial libraries or the massive cost of running headless browsers.

Unlike slow browser-based scrapers that crash or get blocked by Google after 5 requests, this Actor reverse-engineers Google's internal endpoints to deliver clean, structured data at lightning speed:

  • ⏱️ Normalized Search Interest Timeseries (0–100): Track search interest over hours, days, months, or years with multi-keyword comparison (up to 5 keywords).
  • πŸ—ΊοΈ Geographic Regional Breakdown: Drill down into geographic search distribution across 250+ countries, states/provinces, DMAs, and metropolitan cities.
  • πŸ”₯ Related Queries & Breakout Detection: Uncover high-volume Top queries and explosive Rising searches (+5000% breakout velocity).
  • 🧠 Related Topics & Knowledge Graph Entities: Group search intent by conceptual topics with official Google Knowledge Graph machine IDs (mid).
  • ⚑ Real-Time Trending Now: Direct access to 400+ live breakout searches by country with search volume estimates (e.g. 200K+ searches), growth rates (+1000%), and linked news articles.
  • πŸ”Ž Instant Typeahead Autocomplete: Discover search suggestions with entity classifications and deep links.
  • πŸ›οΈ Google Verticals Support: Query Web Search, Google Shopping (froogle), YouTube, Google News, and Google Images.
  • πŸ›‘οΈ Anti-Bot Immunity: 100% unique cryptographically randomized User-Agents on every outgoing request with cookie-free execution on real-time feeds.

⚑ Pre-Configured Saved Tasks (8 Public Ready-to-Run Examples)

You don't need to configure complex inputs! Click and run any of our 8 pre-configured public tasks directly from the Apify Store:

#Task NameDescriptionLink
1Google Trends: AI vs ChatGPT (12M Comparison)Full 12-month multi-keyword explore comparison between AI and ChatGPT in the US.Run Task
2Google Trends: Bitcoin vs Solana (90-Day Trend)Search interest timeline comparing Bitcoin, Solana, and Ethereum over 90 days.Run Task
3Google Trends: USA Live Trending Searches (24H)50 real-time breakout trending searches across the United States with volume estimates.Run Task
4Google Trends: E-Commerce Shopping (Google Shopping)Black Friday & Cyber Monday retail demand trends on the Google Shopping vertical.Run Task
5Google Trends: Big Tech Stocks Demand (Finance)Search demand trends for Nvidia, Apple, Tesla, and Microsoft in the Finance category.Run Task
6Google Trends: UK Regional Demand (Electric Vehicles)Regional demand breakdown across England, Scotland, Wales, and Northern Ireland.Run Task
7Google Trends: Breakout Rising Queries (DeepSeek AI)High-growth rising queries (+5000% velocity) related to DeepSeek AI.Run Task
8Google Trends: Autocomplete Entity DiscoveryInstant typeahead search suggestions with Google Knowledge Graph entity IDs.Run Task

🌟 Why This Actor Beats Other Scrapers

FeatureLegacy Python ScrapersOther Apify ActorsπŸ“ˆ This Google Trends Actor
Execution Speed🐌 5–10 seconds🐌 3–6 seconds⚑ ~200ms – 500ms Ultra-Fast
Compute Units (CU)πŸ’Έ High CU (Heavy Browser)πŸ’Έ Medium CU🟒 Near-Zero CU (Direct HTTP)
Pricing Model❌ None / Self-hostedπŸ’Έ $10 – $30 per 1,000 runs⚑ $0.002 Pay-Per-Event (80% cheaper)
Real-Time Trending Now❌ Broken⚠️ Daily Onlyβœ… 400+ Live Searches + Volume Estimates
Breakout Detection (+5000%)⚠️ Unreliable⚠️ Partialβœ… Exact Growth Score & Breakout Velocity
Search Volume Estimates❌ Relative Index Only❌ Relative Index Onlyβœ… Normalized Index + Exact Search Volumes
Knowledge Graph Entities❌ No❌ Noβœ… Official Google mid Entity IDs
Anti-Bot Immunity❌ Frequent 429 Bans⚠️ IP Blocksβœ… 100% Unique Dynamic UA per Request

🎯 High-Impact Use Cases

  1. SEO & Viral Content Marketing: Identify breakout queries experiencing explosive +5000% growth before your competitors notice them. Publish timely blog posts, YouTube videos, or TikTok content.
  2. E-Commerce & Amazon/Shopify Product Demand: Filter search demand by Google Shopping (froogle) to spot high-demand trending consumer items, forecast seasonal inventory, and adjust PPC bid budgets.
  3. Quantitative Hedge Funds & Trading: Detect brand sentiment inflection points, sudden interest spikes in publicly traded companies, and consumer demand shifts ahead of quarterly earnings calls.
  4. Market Share & Brand Benchmarking: Benchmark multiple brands (e.g. Nike vs Adidas, Tesla vs BYD, OpenAI vs Anthropic) across countries and subregions to calculate organic brand mindshare.
  5. Local Marketing & Geo-Targeted Campaigns: Discover which cities or states have the strongest organic demand for specific services (e.g. "solar panel installation", "weight loss clinic") to target regional ad campaigns.

πŸ› οΈ Input Parameters & Configuration

ParameterTypeDefaultDescription
scrapeModeString (select)"EXPLORE_ALL"Extraction mode: EXPLORE_ALL, INTEREST_OVER_TIME, INTEREST_BY_REGION, RELATED_QUERIES, RELATED_TOPICS, TRENDING_NOW, AUTOCOMPLETE.
searchTermsArray of Strings["artificial intelligence"]Keywords or terms to explore and compare (up to 5 keywords).
timeframeString (select)"today 12-m"Time window: "now 1-H", "now 1-d", "now 7-d", "today 1-m", "today 3-m", "today 12-m", "today 5-y", "all".
geoString"US"Country ISO code (e.g. "US", "GB", "DE", or blank for Worldwide).
propertyString (select)"" (Web)Google Search vertical: "" (Web), "froogle" (Shopping), "youtube", "news", "images".
categoryInteger0 (All)Google category taxonomy ID (e.g. 7 for Finance, 18 for Shopping, 67 for Technology).
trendingGeoString"US"Target country code for TRENDING_NOW mode.
trendingHoursInteger24Time window for live trending searches in hours (4, 24, 48, 168).
maxItemsInteger100Maximum items to push to the dataset.

πŸ“ Sample Input JSON

{
"scrapeMode": "EXPLORE_ALL",
"searchTerms": [
"artificial intelligence",
"chatgpt"
],
"timeframe": "today 12-m",
"geo": "US",
"maxItems": 100
}

πŸ“Š Sample Output Dataset Records (JSON)

1. Interest Over Time Record (timeline_point)

{
"recordType": "timeline_point",
"query": "artificial intelligence",
"geo": "US",
"timeframe": "today 12-m",
"time": 1785628800,
"formattedTime": "Aug 2, 2026",
"formattedAxisTime": "Aug 2",
"value": 78,
"formattedValue": "78",
"scrapedAt": "2026-09-02T21:35:00.000Z"
}

2. Geographic Regional Record (regional_point)

{
"recordType": "regional_point",
"query": "artificial intelligence",
"geo": "US",
"geoCode": "US-CA",
"geoName": "California",
"value": 100,
"formattedValue": "100",
"scrapedAt": "2026-09-02T21:35:00.000Z"
}
{
"recordType": "trending_item",
"rank": 1,
"query": "dancing with the stars 2026 cast",
"country": "US",
"countryName": "United States",
"approximateTraffic": 200000,
"formattedTraffic": "200K+ searches",
"growthScore": "+1000%",
"startedAt": "2026-09-02T10:40:00.000Z",
"relatedQueries": [
"dancing with the stars 2026 cast",
"jenna dewan",
"dwts cast 2026"
],
"exploreUrl": "https://trends.google.com/trends/explore?q=dancing%20with%20the%20stars%202026%20cast&geo=US",
"scrapedAt": "2026-09-02T21:35:00.000Z"
}
{
"recordType": "related_query",
"parentQuery": "deepseek",
"queryType": "RISING",
"query": "deepseek r1",
"value": 5000,
"growthScore": "+5,000%",
"scrapedAt": "2026-09-02T21:35:00.000Z"
}

5. Autocomplete Suggestion Record (autocomplete_item)

{
"recordType": "autocomplete_item",
"query": "apple",
"title": "Apple",
"mid": "/m/04st9hr",
"type": "Technology company",
"exploreUrl": "https://trends.google.com/trends/explore?q=Apple",
"scrapedAt": "2026-09-02T21:35:00.000Z"
}

πŸ’° Pay-Per-Event Transparent Pricing

We use Apify's Pay-Per-Event (PPE) pricing model. You only pay for successful extractionsβ€”no monthly minimums, no idle costs, and zero compute unit billing:

Charge EventPrice (USD)Unit Description
trend-query$0.002Complete search interest timeseries, regional demand map, or related search queries per keyword report
trending-now-batch$0.003400+ live trending searches by country with search volume estimates & news
autocomplete-query$0.0005Typeahead suggestion query with Google Knowledge Graph entity IDs
  • Competitor Cost: $10.00 – $30.00 per 1,000 reports.
  • Our Cost: $2.00 per 1,000 queries β€” up to 80% cheaper, with blazing ~200ms latency.

❓ Frequently Asked Questions (FAQ)

Q: Can I run this Actor via API or Webhook?

Yes! Use the Apify API (POST https://api.apify.com/v2/acts/dev00~google-trends-scraper-api/runs) or connect it to Zapier, Make.com, or n8n to trigger automated daily runs.

Q: How does this scraper avoid Google blocking?

Our engine routes every request through dynamic randomized modern User-Agents and manages cryptographic Google session tokens in memory. Real-time endpoints (Trending Now and Autocomplete) run completely cookie-free for maximum resilience.

Q: What formats can I export the data in?

Apify automatically supports exporting the dataset in JSON, CSV, Excel (XLSX), XML, and HTML table formats.

Q: Can I compare multiple keywords?

Yes! In the searchTerms array, provide up to 5 keywords (e.g. ["nvidia", "apple", "tesla"]) to generate synchronized comparative interest timelines.