# Google Trends Scraper (`cloud9_ai/google-trends-scraper`) Actor

Extract Google Trends data including interest over time and related queries. Perfect for SEO, market research, and content planning. No API key required.

- **URL**: https://apify.com/cloud9\_ai/google-trends-scraper.md
- **Developed by:** [cloud9](https://apify.com/cloud9_ai) (community)
- **Categories:** Marketing
- **Stats:** 5 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Google Trends Scraper

Extract search trend data from Google Trends. Get interest over time, top and rising related queries for any keyword worldwide.

### Features

- Interest over time data (0-100 scale)
- Top & rising related queries
- Country/region filtering
- Flexible time ranges (1 hour to all time)
- Automatic session & cookie management
- Proxy rotation (RESIDENTIAL / DATACENTER)

### Input Configuration

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `keyword` | string | Yes | - | Search keyword to get trends for |
| `geo` | string | No | `""` (worldwide) | Country code (US, JP, GB, etc.) |
| `time` | string | No | `today 12-m` | Time range for trend data |
| `includeRelated` | boolean | No | `true` | Also fetch related queries |

#### Time Range Options

| Value | Description |
|-------|-------------|
| `now 1-H` | Past 1 hour |
| `now 4-H` | Past 4 hours |
| `now 1-d` | Past day |
| `now 7-d` | Past 7 days |
| `today 1-m` | Past 30 days |
| `today 3-m` | Past 90 days |
| `today 12-m` | Past 12 months |
| `today 5-y` | Past 5 years |
| `all` | 2004 - present |

#### Example Input

```json
{
  "keyword": "artificial intelligence",
  "geo": "US",
  "time": "today 12-m",
  "includeRelated": true
}
```

### Output

#### Interest Over Time

```json
{
  "keyword": "artificial intelligence",
  "geo": "US",
  "time": "today 12-m",
  "date": "2025-04-06T00:00:00",
  "value": 87,
  "isPartial": false
}
```

#### Related Queries

```json
{
  "keyword": "artificial intelligence",
  "type": "related_query",
  "relatedKeyword": "chatgpt",
  "value": 100,
  "queryType": "top"
}
```

### Usage Example

```javascript
const input = {
  "keyword": "ChatGPT",
  "geo": "",
  "time": "today 3-m",
  "includeRelated": true
};

const run = await ApifyClient.actor('google-trends-scraper').call(input);
const { items } = await ApifyClient.dataset(run.defaultDatasetId).listItems();

console.log(items);
```

### Important Notes

- This actor uses an **unofficial Google Trends API** that may change without notice
- RESIDENTIAL proxy is preferred (Google blocks datacenter IPs)
- Rate limiting and retry logic are built in
- If Google changes the API, the actor will exit gracefully with 0 results instead of crashing

### Support

For issues or questions, contact the developer or open an issue on GitHub.

### License

Apache-2.0

# Actor input Schema

## `keyword` (type: `string`):

The search keyword to get trends data for

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

Country code (US, JP, GB...) or empty for worldwide

## `time` (type: `string`):

Time range for trend data

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

Also fetch top and rising related queries

## Actor input object example

```json
{
  "keyword": "artificial intelligence",
  "geo": "US",
  "time": "today 12-m",
  "includeRelated": true
}
```

# 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 = {
    "keyword": "artificial intelligence",
    "geo": "US",
    "time": "today 12-m"
};

// Run the Actor and wait for it to finish
const run = await client.actor("cloud9_ai/google-trends-scraper").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 = {
    "keyword": "artificial intelligence",
    "geo": "US",
    "time": "today 12-m",
}

# Run the Actor and wait for it to finish
run = client.actor("cloud9_ai/google-trends-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "keyword": "artificial intelligence",
  "geo": "US",
  "time": "today 12-m"
}' |
apify call cloud9_ai/google-trends-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=cloud9_ai/google-trends-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/Vhrcz2MaTY0L0Qdeo/builds/RdRjV3AgCRyayo4WV/openapi.json