# Google Trends API: interest over time, related queries (`openfetch/google-trends-api`) Actor

Reliable Google Trends data for many keywords: interest over time, average, peak, quarter-on-quarter change, related and rising queries, top regions. Any country and time range, compare up to 5 at once. Retries and proxy rotation built in. Pay per keyword.

- **URL**: https://apify.com/openfetch/google-trends-api.md
- **Developed by:** [openfetch](https://apify.com/openfetch) (community)
- **Categories:** Business, Automation, AI
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.80 / 1,000 keyword trends

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Google Trends API

Google Trends data for many keywords at once, built to **not fail**: proxy rotation and retries are built in.

### Output (one row per keyword)

| Keyword | Country | Average | Latest | Peak | Change % |
|---|---|---|---|---|---|
| zapier | US | 33.2 | 34 | 2026-03-08 | 4 |

Fields: keyword, compared with, country, time range, average and latest interest, peak date and value, change of the last quarter of the period versus the quarter before, full timeline (date, value), related top and rising queries, top regions (optional).

### Trending now mode

Pick **Trending now** to get today's rising searches per country (US, NL, DE, ...) with approximate search traffic and the news articles behind each one. **$0.001 per trending search.**

### Tips

- **Compare together** puts up to 5 keywords on one scale, so the numbers can be compared. Turn it off to score each keyword on its own.
- Use time range **5y** for seasonality, **7d** for news spikes.
- Schedule it weekly to track a keyword list.

### Price

**$0.004 per keyword.** Keywords Google did not answer for are free.

Values are Google's relative interest (0 to 100), not search volumes.

***

openfetch: reliable data actors with retries built in. Questions or a broken run? Open an issue on this actor.

# Actor input Schema

## `mode` (type: `string`):

Keywords (interest, related queries, regions) or today's trending searches per country.

## `keywords` (type: `array`):

One per line. Compared in groups of 5 when Compare together is on.

## `trendingCountries` (type: `array`):

Two-letter codes for Trending now mode, e.g. US, NL, DE. Empty: the Country field.

## `geo` (type: `string`):

Two-letter code, e.g. US, NL, DE. Empty: worldwide.

## `timeRange` (type: `string`):

Period of the timeline.

## `compareTogether` (type: `boolean`):

On: up to 5 keywords on one 0 to 100 scale (comparable). Off: each keyword on its own scale.

## `includeRelated` (type: `boolean`):

Add top and rising related searches.

## `includeRegions` (type: `boolean`):

Add interest by region.

## Actor input object example

```json
{
  "mode": "keywords",
  "keywords": [
    "apify",
    "zapier"
  ],
  "geo": "US",
  "timeRange": "12m",
  "compareTogether": true,
  "includeRelated": true,
  "includeRegions": false
}
```

# Actor output Schema

## `results` (type: `string`):

All rows as JSON.

## `overview` (type: `string`):

The main fields as a table.

## `csv` (type: `string`):

The results as a CSV file.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "apify",
        "zapier"
    ],
    "geo": "US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("openfetch/google-trends-api").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "apify",
        "zapier",
    ],
    "geo": "US",
}

# Run the Actor and wait for it to finish
run = client.actor("openfetch/google-trends-api").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "apify",
    "zapier"
  ],
  "geo": "US"
}' |
apify call openfetch/google-trends-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,openfetch/google-trends-api"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VWQRbDgxyDb1bmzeT/builds/zWWExiG0VvQdslsKA/openapi.json