Switching from Google Trends Scraper (data_xplorer/google-trends-fast-scraper) to Google Trends Scraper

Google Trends Scraper (arcadium/google-trends) reads input written for data_xplorer/google-trends-fast-scraper: 3 of its 10 input fields work as they are. Field list from its public input schema (build 2.8.6, 2026-10-31); prices and run results from the public Apify API, 2026-10-31.

Their fields that work as they are

Their fields this actor does not read

mode, predefinedTimeframe, fetchRegionalData, trendingSearchesCountry, trendingSearchesTimeframe, trendingSearchesCategories, trendingSearchesMaxItems. Leave them out of the input; the actor’s own options are in the guide.

Side by side: their input, our rows

{
  "keyword": "bitcoin",
  "geo": "US",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

{
  "rowType": "trend",
  "searchTerm": "coffee",
  "geo": "US",
  "timeRange": "today 12-m",
  "averageInterest": 77.7,
  "interestOverTime_timelineData": [
    {
      "time": "1760832000",
      "formattedTime": "Oct 19 – 25, 2025",
      "value": [
        63
      ],
      "hasData": [
        true
      ],
      "formattedValue": [
        "63"
      ]
    }
  ],
  "interestBySubregion": [
    {
      "geoCode": "US-WY",
      "geoName": "Wyoming",
      "value": [
        100
      ]
    }
  ],
  "relatedQueries_top": [
    {
      "query": "coffee near me",
      "value": 100,
      "formattedValue": "100"
    }
  ],
  "relatedQueries_rising": [
    {
      "query": "best coffee near me",
      "value": 160,
      "formattedValue": "+160%"
    }
  ],
  "scale": {
    "method": "single",
    "keywords": [
      "coffee"
    ]
  }
}

Output fields: rowType, searchTerm, inputUrlOrTerm, geo, timeRange, category, property, averageInterest, interestOverTime_timelineData, interestBy, interestBySubregion, interestByCity, interestByMetro, relatedQueries_top, relatedQueries_rising, relatedTopics_top, relatedTopics_rising, scale, change, scrapedAt, keyword, searchVolume, increasePercent, startedAt, active, relatedKeywords, windowHours, code, message. The rows use these names, not the other actor’s.

Price

Live Apify prices on 2026-10-31, in USD, for each actor’s main charged event. Start fees and platform usage are not included. Units differ: compare what one charged row contains. The Store page of each actor is the current source.

Common issues: failed or timed-out runs

• Google Trends Scraper timed out: 0.5% of 50,801 runs timed out.
• Google Trends Scraper failed: 0.0% of 50,801 runs ended as failed.

Apify’s public run statistics for each actor, last 30 days to 2026-10-31: FAILED and TIMED-OUT runs as a share of all runs. Shown from 50 runs. A failed run can also come from a bad input. Here an input that cannot be read comes back as a free error row with a code, and the other inputs still arrive.

How to switch

In the Apify Store

1. Open arcadium/google-trends and sign in to Apify.
2. On the Input tab, switch the editor to JSON and paste the input you used for data_xplorer/google-trends-fast-scraper, without the fields listed above as not read.
3. Start the run. Set a maximum cost per run in the run options if you want a hard cap.

Over the API

Change the actor ID in the URL from data_xplorer~google-trends-fast-scraper to arcadium~google-trends; the body stays the same apart from the fields this actor does not read.

curl -X POST "https://api.apify.com/v2/acts/arcadium~google-trends/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keyword":"bitcoin","geo":"US","proxyConfiguration":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}}'

In n8n

In the Apify node, change the actor to arcadium/google-trends and keep the input JSON. With an HTTP Request node:

{
  "nodes": [
    {
      "name": "Run arcadium/google-trends",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~google-trends/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"keyword\":\"bitcoin\",\"geo\":\"US\",\"proxyConfiguration\":{\"useApifyProxy\":true,\"apifyProxyGroups\":[\"RESIDENTIAL\"]}}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}

From an AI assistant (MCP)

Add the actor as a tool on Apify’s MCP server; an agent can pass the same input fields.

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

All switching guides