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Google Trends Keyword Ranker and Compare Tool

Rank up to 100 keywords on one comparable Google Trends scale, with interest by region and related queries, for many locations in one run.

Google Trends Keyword Ranker and Compare Tool takes a list of up to 100 keywords and ranks them against each other on one Google Trends scale, per location. Google Trends itself compares five terms at a time and rescales every chart to its own peak, so two charts cannot be compared. This Actor links the groups through a repeated anchor keyword and returns average interest, peak, trend direction, top regions and related queries as structured rows you can export as JSON, CSV or Excel, call through the Apify API, or plug into n8n, Make and AI agents through MCP. No browser and no API key are needed.

Why use Google Trends Keyword Ranker and Compare Tool?

• Keyword research and content planning. Take 50 candidate topics, see which ones have real search interest and which are rising, and sort the list by one comparable number instead of eyeballing five charts at a time.
• Market and product comparison. Compare brands, tools, programming languages or products in several countries in one run and see where each one is strongest.
• Seasonality and trend alerts. Schedule the Actor weekly, store the rows and track changePct and trendDirection per keyword over time.
• Finding what is breaking out. The related queries output flags breakout queries, which are search terms that grew by more than 5,000 percent.
• Regional targeting. Rank countries, states, metro areas or cities by share of searches for a keyword to decide where to run ads or open a market.

What data does it return?

Pick the row types in Data to return. Every row has a type, the keyword, the geo it was measured in and a scrapedAt timestamp.

• keywordSummary is one ranked row per keyword and location: rank, normalizedAverage, peakValue, peakDate, latestValue, changePct, trendDirection and scaleQuality.
• interestOverTime is one row per keyword and location with the whole timeline in one field: date, raw 0 to 100 value, value on the shared scale and a flag for the period still running.
• interestByRegion returns the top regions for each keyword at country, state, metro or city level.
• relatedQuery returns the top and rising related queries with their score and a breakout flag.

How the shared scale works

Keywords are read in groups of five. From the second group on, the middle keyword of the first group is repeated as an anchor, and the ratio between its two readings rescales the whole group. Each row says how reliable its placement is in scaleQuality: exact for the first group, good when the anchor had plenty of search volume, coarse when it was thin or when the keyword's own values average below 3 on Google's 0 to 100 scale (whole-number rounding then dominates), and unlinked when it was too thin to link at all. Unlinked keywords keep their own 0 to 100 values but get no rank. The run message lists how many keywords fell into each class, so you know how far to trust the ranking.

How to use the Actor

1. Enter your keywords in Keywords, one per line. Phrases work as well as single words.
2. Choose Locations as country codes such as US, DE or GB, regions such as US-CA, or WORLDWIDE. Up to 10 locations can be compared in one run.
3. Set the Time range from the last hour to all time, or give a Custom date range as two dates.
4. Select the Data to return and run the Actor. Open the Overview view of the dataset for the ranking, or use the Regions, Related and Series views for the other row types.

Searches can be limited to web, images, news, YouTube or shopping, and to a Google Trends Category ID, for example to separate the fruit from the phone brand.

Input example

{
  "keywords": ["python", "rust", "golang"],
  "geos": ["US", "DE"],
  "timeRange": "today 12-m",
  "dataTypes": ["keywordSummary", "relatedQueries"],
  "relatedQueryKind": "rising",
  "maxRelatedPerKeyword": 5,
  "maxItems": 100
}

Output fields

Output fields

Every result is one flat record, so it drops straight into a spreadsheet, a database or a CRM.

Sample record

{
  "type": "keywordSummary",
  "found": true,
  "keyword": "python",
  "geo": "US",
  "timeRange": "today 12-m",
  "searchType": "web",
  "category": 0,
  "rank": 1,
  "averageValue": 54.2,
  "normalizedAverage": 63.4,
  "peakValue": 100,
  "peakDate": "2025-12-14",
  "latestValue": 58.1,
  "changePct": -12.5,
  "trendDirection": "steady",
  "dataPoints": 53,
  "pointsWithData": 53,
  "scaleQuality": "exact",
  "anchorKeyword": "golang",
  "timeline": [
    {
      "date": "2025-10-05",
      "value": 61,
      "normalizedValue": 30.1,
      "isPartial": false
    }
  ],
  "regionCode": "US-WA",
  "regionName": "Washington",
  "regionValue": 100,
  "regionRank": 1,
  "latitude": 47.6,
  "longitude": -122.3,
  "relatedQuery": "python tutorial",
  "relatedKind": "top",
  "relatedRank": 1,
  "relatedValue": 100,
  "relatedLabel": "100",
  "isBreakout": false,
  "relatedUrl": "https://trends.google.com/trends/explore?q=python+tutorial&date=today+12-m&geo=US",
  "sourceUrl": "https://trends.google.com/trends/explore?hl=en-US&date=today+12-m&q=python&geo=US",
  "scrapedAt": "2026-10-08T03:00:00.000Z",
  "reason": "noData",
  "message": "Google Trends has too little search volume for this keyword in this location and time range."
}

Input

Call it from your code

Run the Actor and get the results in one request. Replace YOUR_APIFY_TOKEN with the token from your Apify account settings.

curl -X POST "https://api.apify.com/v2/acts/datagrit~google-trends-keyword-ranker/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["python","rust","golang"],"geos":["US"],"dataTypes":["keywordSummary","relatedQueries"],"maxRelatedPerKeyword":5,"maxItems":30}'

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagrit/google-trends-keyword-ranker').call({
  "keywords": [
    "python",
    "rust",
    "golang"
  ],
  "geos": [
    "US"
  ],
  "dataTypes": [
    "keywordSummary",
    "relatedQueries"
  ],
  "maxRelatedPerKeyword": 5,
  "maxItems": 30
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("datagrit/google-trends-keyword-ranker").call(run_input={
  "keywords": [
    "python",
    "rust",
    "golang"
  ],
  "geos": [
    "US"
  ],
  "dataTypes": [
    "keywordSummary",
    "relatedQueries"
  ],
  "maxRelatedPerKeyword": 5,
  "maxItems": 30
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0] if items else None)

Guide

How to compare more than 5 keywords on Google Trends with one scale — Rank up to 100 keywords on one comparable Google Trends scale, per country, with regions and related queries, in Python or cURL and without a browser.

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