# Measure an event's search impact over custom dates

**Use case:** 

Daily worldwide search interest in the Olympics, Euro 2024 and Copa America between May and September 2024, using a custom date range. Shows how big each event was and when interest peaked; set any start and end date for launches or campaigns.

## Input

```json
{
  "keywords": [
    "olympics",
    "euro 2024",
    "copa america"
  ],
  "geo": "",
  "timeRange": "2024-05-01 2024-09-30",
  "category": 0,
  "property": "",
  "language": "en-US",
  "maxRetries": 3
}
```

## Output

```json
{
  "searchTerm": {
    "label": "Search",
    "format": "string"
  },
  "interestOverTime_timelineData": {
    "label": "Interest over time",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Trends Comparison: Fast, up to 5 Keywords](https://apify.com/clover_engineer/google-trends-compare.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/clover_engineer/google-trends-compare.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/clover_engineer/google-trends-compare.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`).