# Google Trends Scraper - Interest, Regions, Related, Trending (`centorprat/google-trends-scraper`) Actor

Google Trends for any keyword, country and time range: interest over time with peak and trend %, interest by region, related queries and topics (top + rising), any Google property, plus today's trending searches. No API key.

- **URL**: https://apify.com/centorprat/google-trends-scraper.md
- **Developed by:** [Centor Prat](https://apify.com/centorprat) (community)
- **Categories:** SEO tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.70 / 1,000 keywords

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 Scraper - Interest, Regions, Related, Trending

**Google Trends data for any keyword, country and time range, without an API key.** For each search term you get
**interest over time** (0-100, with average, peak, peak date, latest value and trend %), **interest by region**
(countries, states, cities or US metros), **related queries** and **related topics**, both top and **rising** (where the
breakout searches are). Measure web, image, news, YouTube or Shopping searches. Add countries to also get **today's
trending searches** with approximate traffic and news links.

Built for **SEO and content teams, marketers, analysts and AI agents** · no login · JSON / CSV / Excel.

### 📥 Input

| Field | Meaning |
|---|---|
| `searchTerms` | Keywords, e.g. `["chatgpt", "electric cars"]` |
| `geo` | Country (US, GB, DE...) or region (US-CA); empty = worldwide |
| `timeRange` | past hour ... past 5 years, or all (2004-present) |
| `property` | web, images, news, youtube, shopping |
| `category` | Google Trends category id (0 = all) |
| `interestOverTime`, `interestByRegion`, `relatedQueries`, `relatedTopics` | Sections to return (all on by default) |
| `regionResolution` | COUNTRY, REGION, CITY, DMA |
| `trendingNowCountries` | Today's trending searches, e.g. `["US"]` |

```json
{ "searchTerms": ["chatgpt", "claude ai"], "geo": "US", "timeRange": "past-12-months", "trendingNowCountries": ["US"] }
```

### 📋 Output

One `keyword` row per term: `interestOverTime[]` (date, value), `summary` (average, peak, peakDate, latest, trendPct),
`interestByRegion[]` (geoCode, name, value), `relatedQueries.top/rising[]`, `relatedTopics.top/rising[]`.
One `trending-search` row per trending search: `query`, `approxTraffic`, `startedAt`, `news[]`.

### 💰 Pricing

`keyword` per search term (all its sections included), `trending-search` per trending row. Terms with no data are free.

### 🤖 API / agents

```bash
curl -X POST "https://api.apify.com/v2/acts/centorprat~google-trends-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
     -H "Content-Type: application/json" -d '{"searchTerms": ["chatgpt"], "geo": "US", "timeRange": "past-90-days"}'
```

MCP: `https://mcp.apify.com/?tools=actors,docs,centorprat/google-trends-scraper`

### ❓ FAQ

- **API key?** None: it reads the same data the Google Trends website shows.
- **Why 0-100?** Google Trends values are relative: 100 is the term's peak popularity in the chosen place and period.

# Actor input Schema

## `searchTerms` (type: `array`):

Keywords or topics to analyze, one per line, e.g. \["chatgpt", "electric cars"].

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

Two-letter country code (US, GB, DE, ES, IN...) or a region like US-CA. Empty = worldwide.

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

Period for interest over time and the related data.

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

Which Google search to measure.

## `category` (type: `integer`):

Google Trends category id (0 = all categories).

## `interestOverTime` (type: `boolean`):

Timeline (0-100) plus average, peak, latest and trend %.

## `interestByRegion` (type: `boolean`):

Countries, or regions within the chosen country.

## `regionResolution` (type: `string`):

Granularity of interest by region (optional).

## `relatedQueries` (type: `boolean`):

Top and rising related searches.

## `relatedTopics` (type: `boolean`):

Top and rising related topics.

## `trendingNowCountries` (type: `array`):

Also return today's trending searches for these countries, e.g. \["US", "GB"].

## `language` (type: `string`):

Interface language, e.g. en-US, es, de.

## Actor input object example

```json
{
  "searchTerms": [
    "chatgpt"
  ],
  "geo": "",
  "timeRange": "past-12-months",
  "property": "web",
  "category": 0,
  "interestOverTime": true,
  "interestByRegion": true,
  "relatedQueries": true,
  "relatedTopics": true,
  "language": "en-US"
}
```

# Actor output Schema

## `trends` (type: `string`):

One row per search term (timeline, regions, related queries/topics, summary) and one row per trending search.

# 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 = {
    "searchTerms": [
        "chatgpt"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("centorprat/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 = { "searchTerms": ["chatgpt"] }

# Run the Actor and wait for it to finish
run = client.actor("centorprat/google-trends-scraper").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 '{
  "searchTerms": [
    "chatgpt"
  ]
}' |
apify call centorprat/google-trends-scraper --silent --output-dataset

```

## MCP server setup

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

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/B8F9X6cwN7koL6PNt/builds/kd7u0cDPkh6pNWCtS/openapi.json