# Google Trends data from an explore link

**Use case:** 

Paste a link copied from trends.google.com and get its data: the search terms, country, time range and category are read from the link. Interest over time, interest by region and related queries come back for each term. The example reads coffee and tea in the United Kingdom over the past 3 months; replace the link with your own.

## Input

```json
{
  "mode": "keywords",
  "searchTerms": [
    "coffee"
  ],
  "startUrls": [
    {
      "url": "https://trends.google.com/trends/explore?date=today+3-m&geo=GB&q=coffee,tea"
    }
  ],
  "geo": "",
  "timeRange": "today 12-m",
  "category": 0,
  "property": "",
  "language": "en-US",
  "interestOverTime": true,
  "interestByRegion": true,
  "regionResolution": "",
  "relatedQueries": true,
  "trendingGeos": [
    "US"
  ],
  "outputFormat": "nested",
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "keyword": {
    "label": "Search term",
    "format": "string"
  },
  "title": {
    "label": "Trending search",
    "format": "string"
  },
  "geo": {
    "label": "Location",
    "format": "string"
  },
  "timeRange": {
    "label": "Time range",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "averageInterest": {
    "label": "Average interest (0-100)",
    "format": "number"
  },
  "scaleConfidence": {
    "label": "Scale confidence (Compare mode)",
    "format": "string"
  },
  "approxTraffic": {
    "label": "Approx. traffic",
    "format": "string"
  },
  "googleTrendsUrl": {
    "label": "Open on Google Trends",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

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

The Google Trends API Actor is ready to run with the inputs already set for "Google Trends data from an explore link". [Sign up or log in](https://console.apify.com/create-task-from-example/YNPPf2KgMivlxVP6x) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google Trends data from an explore link" task

The Google Trends API Actor will start running based on the input automatically. You can also change all the input fields, like mode, search terms, and more, to match your specific use case.

### 3. Receive the "Google Trends data from an explore link" 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 search term, trending search, location, 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 "Google Trends data from an explore link" task via API](https://apify.com/brii3343/google-trends-api.md).

## About this Actor

This example demonstrates how to use [Google Trends API](https://apify.com/brii3343/google-trends-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/brii3343/google-trends-api.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/brii3343/google-trends-api.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`).