# Google Trends API (`fingolfin/google-trends-api`) Actor

Scrape Google Trends data without official API. Get interest over time, interest by region, related queries, related topics, trending searches, and keyword suggestions. Supports all filters: geo, timeframe, category, and search property (web/YouTube/news/images/Google Shopping).

- **URL**: https://apify.com/fingolfin/google-trends-api.md
- **Developed by:** [Mate Papava](https://apify.com/fingolfin) (community)
- **Categories:** AI, Other, SEO tools
- **Stats:** 9 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 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/actors/running/actors-in-store.md#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 — Apify Actor

Scrape Google Trends data without using the official API. Uses `curl_cffi` for browser impersonation to bypass rate limits.

### Features

- **Interest Over Time** — Weekly/daily/hourly interest scores (0–100)
- **Interest by Region** — Breakdown by country or sub-region
- **Related Queries** — Top and rising related searches
- **Related Topics** — Top and rising related topics/entities
- **Trending Now** — What's currently trending in a country
- **Trending Daily** — Today's trending searches with traffic estimates
- **Suggestions** — Topic autocomplete for finding precise terms

### Filters

| Filter | Options | Description |
|--------|---------|-------------|
| `keywords` | Comma-separated (max 5) | Terms to analyze. Use comma for comparison |
| `geo` | ISO country code | US, GB, IN, GE, DE. Empty = worldwide |
| `timeframe` | 1h, 4h, 1d, 7d, 30d, 90d, 12m, 5y, all | Shorter = finer granularity |
| `category` | all, finance, health, sports, news, etc. | 26 categories available |
| `property` | web, youtube, news, images, froogle | Which Google product to search |

### Example Input

#### Compare Python vs JavaScript interest worldwide (12 months)

```json
{
    "action": "interest_over_time",
    "keywords": "python,javascript",
    "geo": "",
    "timeframe": "12m"
}
```

#### ChatGPT interest on YouTube in the US (90 days)

```json
{
    "action": "interest_over_time",
    "keywords": "chatgpt",
    "geo": "US",
    "timeframe": "90d",
    "property": "youtube"
}
```

#### Interest by US state

```json
{
    "action": "interest_by_region",
    "keywords": "python",
    "geo": "US",
    "timeframe": "12m"
}
```

#### Trending searches in Georgia

```json
{
    "action": "trending_now",
    "geo": "GE"
}
```

#### Related queries for bitcoin in Finance category

```json
{
    "action": "related_queries",
    "keywords": "bitcoin",
    "geo": "US",
    "category": "finance"
}
```

### Output

Results are pushed to the dataset. Each result contains:

- `data` — The actual data (array of points, regions, queries, etc.)
- `status` — "success" or error status
- `_action` — Which action was run
- `_input` — Echo of the parsed input parameters

### Notes

- Trending actions (`trending_now`, `trending_daily`) use Google's RSS feed which is reliable and never rate-limited.
- Interest/related actions use the internal Trends API with session management via `curl_cffi` browser impersonation.
- Not all keywords have related topics data — this is normal Google Trends behavior.
- Hourly granularity is only available for timeframes of 1d or shorter.

# Actor input Schema

## `action` (type: `string`):

What data to fetch from Google Trends.

## `keywords` (type: `string`):

One or more search terms, comma-separated (max 5 for comparison). Used by all actions except trending\_now and trending\_daily.

Examples:
• Single: python
• Compare: python,javascript,rust
• Phrase: machine learning

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

ISO 3166-1 alpha-2 country code. Leave empty for worldwide data.

Examples: US, GB, IN, GE, DE, FR, JP, BR, AU

For interest\_by\_region: empty = breakdown by country, set a country = breakdown by sub-region (e.g. US states).

## `timeframe` (type: `string`):

Time range for the data. Shorter ranges give finer granularity (hourly for 1d, daily for 30d, weekly for 12m+).

## `category` (type: `string`):

Filter results to a specific category. Only relevant for interest/related actions.

## `property` (type: `string`):

Which Google property to search. Default is web search.

## Actor input object example

```json
{
  "action": "interest_over_time",
  "keywords": "python",
  "geo": "",
  "timeframe": "12m",
  "category": "all",
  "property": "web"
}
```

# Actor output Schema

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

Google Trends data stored in the default dataset

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("fingolfin/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("fingolfin/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 '{}' |
apify call fingolfin/google-trends-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fingolfin/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/VVHPJe5HmhxhLWeey/builds/EudgSgb4Rc7zVw08A/openapi.json