Google Trends Scraper — Interest Over Time, Regions, Related Queries & Trending Now

Get Google Trends data in bulk, without the (non-existent) public API. For every search term or comparison you get the full Explore page as structured JSON: interest over time, interest by country/region/city, top & rising related queries (incl. Breakout) — plus Google's daily Trending Now topics with traffic estimates and news articles.

Export to JSON, CSV or Excel, or plug it into Google Sheets, Make, Zapier, n8n or your AI agent.

What you get

Section	Description
Interest over time	Timeline of values 0–100 per term, with averages for comparisons. Hourly, daily, weekly or monthly points depending on the time range.
Interest by region	Breakdown by country, sub-region (state), city or US metro (DMA).
Related queries	Top and rising searches for each term, including Breakout queries (+5000%).
Related topics	Top and rising topics, when Google provides them.
Trending Now	Daily trending searches per country with approximate traffic, start time, picture and related news articles.

Features

• Compare up to 5 terms on one chart — just separate them with commas: coffee, tea, matcha.
• Any country or region (US, GB, US-CA…) or worldwide.
• Any time range: past hour, 4 hours, day, 7 days, 30 days, 90 days, 12 months, 5 years, since 2004, or a custom YYYY-MM-DD YYYY-MM-DD range.
• Categories (e.g. 71 = Food & Drink) and search types: Web, Image, News, Google Shopping and YouTube search.
• Built for Google's rate limits: cookie-warmed sessions, IP rotation through Apify Proxy, exponential backoff, and partial-progress caching so retries never redo work that already succeeded.
• Fair billing: if Google still blocks a search after all retries, you get whatever was collected, flagged incompleteSections, free of charge.

Pricing

$3.00 per 1,000 results ($0.003 per result). One result = one search term or comparison with all selected sections, or one Trending Now topic.

Example	Results	Cost
100 keywords, full report each	100	$0.30
Daily Trending Now for 10 countries (~20 topics each)	200	$0.60

Use Max results in total to cap any run.

Input example

{
  "searchTerms": ["pickleball", "coffee, tea, matcha"],
  "geo": "US",
  "timeRange": "today 3-m",
  "property": "web",
  "includeInterestOverTime": true,
  "includeInterestByRegion": true,
  "includeRelatedQueries": true,
  "trendingNowGeos": ["US", "GB"],
  "maxTrendingPerGeo": 10
}

Output examples

Explore result (arrays shortened to one element):

{
  "type": "explore",
  "searchTerms": [
    "coffee",
    "tea",
    "matcha"
  ],
  "geo": "US",
  "timeRange": "today 3-m",
  "category": 0,
  "property": "web",
  "exploreUrl": "https://trends.google.com/trends/explore?q=coffee%2Ctea%2Cmatcha&geo=US&date=today+3-m",
  "interestOverTime": [
    {
      "date": "2026-07-13T00:00:00.000Z",
      "formattedTime": "Jul 13, 2026",
      "values": {
        "coffee": 58,
        "tea": 28,
        "matcha": 4
      }
    }
  ],
  "averages": {
    "coffee": 54,
    "tea": 24,
    "matcha": 4
  },
  "interestByRegion": [
    {
      "geoCode": "US-HI",
      "geoName": "Hawaii",
      "values": {
        "coffee": 66,
        "tea": 26,
        "matcha": 8
      }
    }
  ],
  "relatedQueries": {
    "matcha": {
      "top": [
        {
          "query": "matcha me",
          "value": 100,
          "formattedValue": "100",
          "link": "https://trends.google.com/trends/explore?q=matcha+me&date=today+3-m&geo=US"
        }
      ],
      "rising": [
        {
          "query": "matcha flavored minecraft",
          "value": 45550,
          "formattedValue": "Breakout",
          "link": "https://trends.google.com/trends/explore?q=matcha+flavored+minecraft&date=today+3-m&geo=US",
          "isBreakout": true
        }
      ]
    }
  },
  "relatedTopics": {},
  "scrapedAt": "2026-10-13T14:12:17.152Z"
}

Trending Now result:

{
  "type": "trending",
  "rank": 1,
  "title": "guilfoyle",
  "approxTraffic": "5000+",
  "approxTrafficNumber": 5000,
  "publishedAt": "2026-10-13T13:50:00.000Z",
  "picture": "https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcT6Uuw3CKVaYneeLM9ihQ0Oiv6wr_nazjZMtwuKmbGmGi8Z2EvHFH0VGQEAk1E",
  "pictureSource": "The New York Times",
  "news": [
    {
      "title": "Trump Says He Is ‘Looking at’ Firing Kimberly Guilfoyle",
      "url": "https://www.nytimes.com/2026/10/12/us/politics/trump-kimberly-guilfoyle-greece.html",
      "source": "The New York Times",
      "picture": "https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcT6Uuw3CKVaYneeLM9ihQ0Oiv6wr_nazjZMtwuKmbGmGi8Z2EvHFH0VGQEAk1E"
    }
  ],
  "geo": "US",
  "exploreUrl": "https://trends.google.com/trends/explore?q=guilfoyle&geo=US&date=now+1-d",
  "scrapedAt": "2026-10-13T14:12:26.991Z"
}

Use with AI agents (MCP), LangChain, RAG & the API

This actor is a ready-made tool for AI agents: an LLM can call it, wait for the run and read clean JSON back.

MCP server (Claude Desktop, Claude Code, Cursor, VS Code, any MCP client) — add Apify's hosted MCP server with this actor enabled as a tool:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=murch1k/google-trends-scraper",
      "headers": { "Authorization": "Bearer <APIFY_TOKEN>" }
    }
  }
}

LangChain / LangGraph (pip install langchain-apify, set APIFY_API_TOKEN):

import json
from langchain_apify import ApifyActorsTool, ApifyWrapper
from langchain_core.documents import Document

# 1) give the actor to an agent as a tool
tool = ApifyActorsTool("murch1k/google-trends-scraper")

# 2) or load results as Documents for a RAG index
loader = ApifyWrapper().call_actor(
    actor_id="murch1k/google-trends-scraper",
    run_input={"searchTerms": ["pickleball", "coffee, tea, matcha"], "geo": "US", "timeRange": "today 3-m", "property": "web", "includeInterestOverTime": True, "includeInterestByRegion": True, "includeRelatedQueries": True, "trendingNowGeos": ["US", "GB"], "maxTrendingPerGeo": 10},
    dataset_mapping_function=lambda item: Document(page_content=json.dumps(item, ensure_ascii=False), metadata={"url": item.get("url")}),
)
docs = loader.load()

REST API — one synchronous call, dataset items in the response:

curl -X POST "https://api.apify.com/v2/acts/murch1k~google-trends-scraper/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["pickleball", "coffee, tea, matcha"], "geo": "US", "timeRange": "today 3-m", "property": "web", "includeInterestOverTime": true, "includeInterestByRegion": true, "includeRelatedQueries": true, "trendingNowGeos": ["US", "GB"], "maxTrendingPerGeo": 10}'

Also works with the Apify Python/JS clients, Make, Zapier, n8n, Google Sheets, webhooks and schedules. Export as JSON, CSV, Excel, XML or RSS.

RAG tip: Agents work best with the relatedQueries and Trending Now rows — pass them as a compact table so the model can spot rising topics without parsing charts.

How to read the numbers

Google Trends values are relative (0–100), not absolute search volumes. 100 is the peak popularity for the chosen terms, location and time range. Values are only comparable within the same request — that's why comparisons (comma-separated terms) are the best way to benchmark keywords against each other.

Use cases

• SEO & content: find rising and breakout queries before competitors do.
• E-commerce & product research: validate demand and seasonality before you stock or launch.
• Market research & investing: track brands, tickers and products over time and across regions.
• Media & social: daily Trending Now topics with the news behind them.
• AI agents & dashboards: feed fresh trend data into LLM workflows, Looker Studio or Google Sheets on a schedule.

Tips

• Google Trends rate-limits heavily. Keep Max concurrency at 2–5; for thousands of terms use the RESIDENTIAL proxy group.
• Related topics are often empty in Google's own UI too; they're never returned for comparisons.
• Single-term results have averages: null — Google only returns averages for comparisons.

FAQ

Is there an official Google Trends API? Not a public one for general use. This actor reads the same data the Google Trends website displays.

Why does a run report incompleteSections? Google refused a section even after several IP rotations. You get the rest of the data for free; re-run those terms later or with residential proxy.

Support

Missing a feature (e.g. category browser, CSV-style flat output)? Open an issue on the Issues tab.