# Compare October–December 2024 and 2025 interest

**Use case:** 

Put the same keyword's Google Trends interest for two periods on one scale, for example this holiday season against last year's. See at a glance whether demand is growing or shrinking and when it peaks. Change the keyword, country and date ranges to track any seasonal trend, then export to JSON, CSV or Excel. You only pay for complete results.

## Input

```json
{
  "mode": "compare",
  "searchTerms": [
    "black friday"
  ],
  "geo": "US",
  "timeRange": "today 12-m",
  "sections": [
    "interestOverTime",
    "interestByRegion",
    "relatedQueries"
  ],
  "regionResolution": "auto",
  "regionLevels": [],
  "includeSeasonality": false,
  "seasonalityLeadDays": 30,
  "includeLowVolumeRegions": false,
  "includeRegionsWithNoData": false,
  "property": "",
  "language": "en-US",
  "tz": 0,
  "trendingSource": "rss",
  "trendingHours": 24,
  "trendingCategories": [],
  "activeOnly": false,
  "trendingStatus": "all",
  "trendingSort": "relevance",
  "maxTrendsPerCountry": 0,
  "minSearchVolume": 0,
  "trendingLanguage": "",
  "trendingConcurrency": 1,
  "chainComparisons": false,
  "anchorTerm": "",
  "bridgeRemeasurement": false,
  "bridgeTerm": "",
  "bridgeTerms": [],
  "compareLocations": false,
  "comparePeriods": true,
  "periods": [
    "2024-10-01 2024-12-31",
    "2025-10-01 2025-12-31"
  ],
  "advancedQueries": [],
  "fileHasHeader": false,
  "outputFormat": "nested",
  "compactOutput": false,
  "excludeEmptyFields": false,
  "maxItems": 0,
  "maxQueries": 0,
  "maxRegions": 0,
  "maxRelatedItems": 0,
  "maxRunSeconds": 0,
  "separateDatasets": false,
  "monitorMode": false,
  "monitorSensitivity": "normal",
  "monitorRetentionHours": 168,
  "resetMonitoringState": false,
  "onlyNew": false,
  "onlyChanges": false,
  "cachedResultOnRefusal": false,
  "cacheMaxAgeHours": 24,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "useProxy": true,
  "dailyResolution": false,
  "sampleCount": 1,
  "sampleAggregation": "mean",
  "directFirst": true,
  "maxConcurrency": 5,
  "maxRetries": 6,
  "retryCooldownSecs": 15,
  "circuitBreakerFailures": 0,
  "requestTimeoutSecs": 30,
  "requestDelayMs": 0,
  "rotateAfterRequests": 0,
  "categoryId": 0,
  "failOnErrors": false,
  "saveDebugPages": false
}
```

## Output

```json
{
  "type": {
    "label": "Row type"
  },
  "comparisonGroup": {
    "label": "comparisonGroup"
  },
  "geo": {
    "label": "Country / region"
  },
  "timeRange": {
    "label": "Time range"
  },
  "valueScale": {
    "label": "Value scale"
  },
  "isBridgeGroup": {
    "label": "Bridge group"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Trends Scraper & API Actor is ready to run with the inputs already set for "Compare October–December 2024 and 2025 interest". [Sign up or log in](https://console.apify.com/create-task-from-example/VjdCrR4bYC1fPcJFB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare October–December 2024 and 2025 interest" task

The Google Trends Scraper & API Actor will start running based on the input automatically. You can also change all the input fields, like what to scrape, keywords or topics, and more, to match your specific use case.

### 3. Receive the "Compare October–December 2024 and 2025 interest" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as row type, comparisongroup, country / region, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Compare October–December 2024 and 2025 interest" task via API](https://apify.com/suslabs/google-trends-scraper.md).

## About this Actor

This example demonstrates how to use [Google Trends Scraper & API](https://apify.com/suslabs/google-trends-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/suslabs/google-trends-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/suslabs/google-trends-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).