Google Trends MCP

AI-native Google Trends API for autonomous workflows.

Programmatic access to daily trending searches, interest over time, related queries, topic breakdowns, and category filtering. Built for AI agents, content marketers, SEO tools, and market intelligence workflows.

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Hero

┌─────────────────────────────────────────────────────────────────┐
│                    GOOGLE TRENDS MCP                             │
│                                                                 │
│  Daily Trends  │  Interest Over Time  │  Related Queries        │
│                                                                 │
│  Categories    │  Topic Breakdown       │  Multi-Geo             │
└─────────────────────────────────────────────────────────────────┘

Quick Start

{
  "tool": "get_daily_trending",
  "arguments": {
    "location": "US",
    "category": "0"
  }
}

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Tools

1. get_daily_trending

Get what's trending right now — top daily search queries that are spiking.

When to call: You need real-time trending topics for content planning, news alerts, or social media scheduling.

Example AI prompt: "What's trending in technology today?"

Input:

{
  "location": "string",  // Required: US, GB, DE, FR, etc.
  "category": "string"   // Optional: 0=all, 1=Art, 2=Science, etc.
}

Output:

{
  "trending": [
    { "query": "Apple keynote", "traffic": 100000, "delta": "+1200%" },
    { "query": "SpaceX launch", "traffic": 85000, "delta": "+850%" }
  ],
  "location": "US",
  "category": "all",
  "timestamp": "2026-05-17T12:00:00Z"
}

PPE: $0.03

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2. get_topic_trends

Get interest over time for a specific topic — historical trend lines with daily/weekly/monthly granularity.

When to call: You need to analyze how a topic's popularity has changed over time, identify seasonality, or compare multiple topics.

Example AI prompt: "Show me the interest over time for electric vehicles over the past 3 years."

Input:

{
  "topic": "string",       // Required: Topic name
  "time_range": "string"   // Optional: today 1-m, today 3-m, today 12-m, today 5-y
}

Output:

{
  "topic": "electric vehicles",
  "interest_over_time": [
    { "date": "2026-02", "score": 45 },
    { "date": "2026-03", "score": 52 },
    { "date": "2026-04", "score": 61 }
  ],
  "peak": { "date": "2026-04", "score": 68 },
  "average": 54,
  "time_range": "today 3-m"
}

PPE: $0.05

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3. get_related_queries

Get related queries for a seed topic — what people also search for alongside your query.

When to call: You need keyword research, content ideas, or to understand search intent beyond your initial query.

Example AI prompt: "What queries are related to 'machine learning'?"

Input:

{
  "seed_query": "string",  // Required: Seed search query
  "geo": "string",        // Optional: US, GB, DE, etc.
  "category": "string"    // Optional: 0-99
}

Output:

{
  "seed_query": "machine learning",
  "top_queries": [
    { "query": "machine learning course", "value": 100, "category": "rising" },
    { "query": "machine learning algorithms", "value": 85, "category": "top" }
  ],
  "rising_queries": [
    { "query": "machine learning for beginners", "value": "+500%" }
  ],
  "geo": "US"
}

PPE: $0.03

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4. get_category_browse

Browse Google Trends categories to discover available topics and subtopics.

When to call: You want to explore what categories are available for trend analysis.

Example AI prompt: "What categories are available in Google Trends?"

Input:

{
  "category": "string"  // Optional: Category ID, defaults to all
}

Output:

{
  "categories": [
    { "id": 0, "name": "All categories", "subtopics": [] },
    { "id": 1, "name": "Art", "subtopics": ["Photography", "Art History"] },
    { "id": 2, "name": "Science", "subtopics": ["Physics", "Chemistry"] }
  ]
}

PPE: $0.03

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5. search_trends

Combined search that returns interest over time, top queries, and rising queries in one call.

When to call: You need a complete trend analysis for a query — multi-signal in a single call.

Example AI prompt: "Give me a complete trend analysis for 'AI assistants'."

Input:

{
  "query": "string",       // Required: Search query
  "geo": "string",        // Optional: US, GB, DE, etc.
  "time_range": "string"   // Optional: today 1-m, today 3-m, today 12-m
}

Output:

{
  "query": "AI assistants",
  "interest_over_time": [...],
  "top_queries": [...],
  "rising_queries": [...],
  "geo": "US",
  "time_range": "today 3-m",
  "timestamp": "2026-05-17T12:00:00Z"
}

PPE: $0.05

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Data Source

Google Trends public API — no API key required.

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How It Compares

Feature	Google Trends MCP	Similarweb	Manual Google Trends
Price	$0.03–$0.05/call	$100+/mo	Free but manual
AI-native (MCP)	✅ Yes	❌ No	❌ No
Programmatic	✅ Yes	✅ Yes	❌ No
Historical data	✅ 1+ years	✅ Yes	Limited
Related queries	✅ Yes	✅ Yes	✅ Manual
Real-time trends	✅ Yes	✅ Yes	✅ Manual

Why choose our MCP:

• MCP protocol is designed for AI agent integration — incorporate trend data into autonomous workflows
• $0.03–$0.05 per call vs $100+/month subscriptions — 50x cheaper for high-volume AI use cases
• Batch-friendly: chain multiple trend queries for competitive analysis pipelines
• No manual work — fully automated trend detection and reporting

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Pricing

Action	PPE Cost
get_daily_trending	$0.03
get_topic_trends	$0.05
get_related_queries	$0.03
get_category_browse	$0.03
search_trends	$0.05

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Architecture

┌─────────────────────────────────────────────────────────────────┐
│                     google-trends-mcp                            │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│   Input: { query, geo?, category?, time_range? }                │
│                                                                 │
│   ┌─────────────────────────────────────────────────────────┐   │
│   │              Google Trends Data Sources                 │   │
│   │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐     │   │
│   │  │  Trending   │  │   Interest  │  │    Related  │     │   │
│   │  │   Daily     │  │    Time     │  │   Queries   │     │   │
│   │  └─────────────┘  └─────────────┘  └─────────────┘     │   │
│   └─────────────────────────────────────────────────────────┘   │
│                                                                 │
│   Output: { trending[], interest_over_time[], related[] }       │
└─────────────────────────────────────────────────────────────────┘

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Cross-Sells

content-marketing-mcp (coming soon)

For content marketing workflows — trending topics fuel content generation.

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MCP Protocol

This actor implements the MCP (Model Context Protocol) for AI agent integration.

Endpoint: /mcp

Request format:

{
  "tool": "get_daily_trending",
  "arguments": { "location": "US", "category": "0" }
}

Response format:

{
  "success": true,
  "result": { ... }
}

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Deployment

This actor runs in standby mode on Apify, enabling efficient AI agent integration with pay-per-event pricing.

Actor ID: google-trends-mcp

Pricing: Event-based (PPE) — $0.03–$0.05 per call

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Status

• Created: 2026-05-17
• Data source: Google Trends public API (no auth required)
• Tools: 5 (get_daily_trending, get_topic_trends, get_related_queries, get_category_browse, search_trends)
• PPE range: $0.03–$0.05

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