Google Trends Interest & Related Query Scraper

What it returns

36 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

• recordType'interest' rows describe one Explore query; 'trending' rows are Trending Now items.
• searchTermsThe keywords analyzed (interest rows).
• geoLocation code (empty string = Worldwide).
• geoNameHuman-readable location name.
• timeRangeTime range token sent to Google (interest rows).
• timeRangeLabelHuman-readable label for the time range.
• categoryCategory id (0 = All categories).
• categoryNameHuman-readable category name.
• searchTypeGoogle surface: '' (Web), 'images', 'news', 'froogle' (Shopping), 'youtube'.
• searchTypeLabelHuman-readable search type label.
• exploreUrlURL to view the same query on trends.google.com.
• interestOverTimeTimeline points of relative search interest (0-100 scale).
• averageInterestAverage value across the timeline. A number for single-keyword runs, an array in compare mode.
• latestInterestMost recent timeline value. A number or an array in compare mode.
• peakInterestHighest timeline value. A number or an array in compare mode.
• peakDateDate of the highest value. A string or an array in compare mode.
• trendChangePercentChange between the last and first quarter of the window, in percent.
• trendDirection'rising', 'falling' or 'stable' based on trendChangePercent.
• interestByRegionPer-region breakdown of search interest at the resolution Google chose for the location.
• interestByRegionPerTermCompare mode: per-keyword region breakdowns.
• relatedTopicsTop and rising related topics (interest rows; empty when Google has none).
• relatedQueriesTop and rising related queries (interest rows).
• relatedTermsRelated search terms Google lists for a trending item (trending rows).
• relatedQueriesPerTermCompare mode: per-keyword related query lists.
• rankPosition in the Trending Now list.
• titleTrending search term or topic.
• hoursTrending time window in hours.
• hoursLabelHuman-readable trending time window.
• startedAtWhen the trend started spiking (ISO 8601).
• endedAtWhen the trend stopped spiking (ISO 8601), when provided by Google.

Not in the schema among the core Google Trends fields: search, related. The field matrix shows which other tools return them.

Input

Example input

Built from the input form's published example values and defaults.

{
  "mode": "interest",
  "searchTerms": [
    "tesla"
  ],
  "compareMode": false,
  "geo": "US",
  "timeRange": "today 12-m",
  "category": "0",
  "trendingHours": "4",
  "trendingCategory": "all",
  "includeTrendingNews": false,
  "maxItems": 3
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "interest",
    "searchTerms": [
        "tesla"
    ],
    "compareMode": False,
    "geo": "US",
    "timeRange": "today 12-m",
    "category": "0",
    "trendingHours": "4",
    "trendingCategory": "all",
    "includeTrendingNews": False,
    "maxItems": 3
}

run = client.actor("vexaloom-labs/google-trends-interest-and-related-query-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "interest",
    "searchTerms": [
        "tesla"
    ],
    "compareMode": false,
    "geo": "US",
    "timeRange": "today 12-m",
    "category": "0",
    "trendingHours": "4",
    "trendingCategory": "all",
    "includeTrendingNews": false,
    "maxItems": 3
};

const run = await client.actor("vexaloom-labs/google-trends-interest-and-related-query-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~google-trends-interest-and-related-query-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"interest","searchTerms":["tesla"],"compareMode":false,"geo":"US","timeRange":"today 12-m","category":"0","trendingHours":"4","trendingCategory":"all","includeTrendingNews":false,"maxItems":3}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/google-trends-interest-and-related-query-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

• Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
• The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
• Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
• Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Google Trends routes

It ranks 1 of 1 catalogue Actors for Google Trends on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

What people use it for

• track search interest
• compare regional interest
• find related queries

Similar Actors

Questions people ask

Sources

• Google Trends Interest & Related Query Scraper on Apify Store
• Published build with input and output schema (JSON)
• Google Trends API (alpha) documentation