# Google Trends Scraper — Fast, Unlimited Keyword Comparison (`datatidy/google-trends-unlimited`) Actor

Fast Google Trends API without a browser: interest over time, interest by region, related queries (top and rising). Compare unlimited keywords on one common 0–100 scale (Google allows only 5). Any country, time range, category and YouTube/News/Shopping search.

- **URL**: https://apify.com/datatidy/google-trends-unlimited.md
- **Developed by:** [Onkel RoGi](https://apify.com/datatidy) (community)
- **Categories:** SEO tools, Marketing, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 search terms

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?

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 — fast, unlimited keyword comparison

Get **Google Trends data as clean JSON, CSV or Excel**: interest over time, interest by region (countries, states, cities, US metro areas) and related queries (top and rising). No browser, so runs are **fast and cheap** — hundreds of keywords in minutes.

### ⭐ Compare more than 5 keywords on one scale

On trends.google.com you can only compare **5 terms** at once, and every new comparison is scaled differently. This Actor's **Compare mode** chains comparisons through a shared anchor keyword, so **any number of terms ends up on one common 0–100 scale** (100 = the highest point of any term). Perfect for ranking 50 brands, products, competitors or topics against each other.

Checked against Google's own comparison: chained values match within a few percent.

### What you get for each search term

| Field | Description |
|---|---|
| `averageInterest` | Average interest over the period (0–100) |
| `peak` / `latest` | Highest and most recent value with date |
| `timeline` | Full time series: date, value, `isPartial` for the unfinished last period |
| `regions` | Interest by country / state / city / DMA |
| `relatedQueries` | `top` and `rising` related searches incl. "Breakout" terms |

### Features

- Any **country or region** (`US`, `DE`, `GB`, `US-CA` …) or worldwide
- Any **time range**: past hour up to 2004–today, or a custom date range
- **Web, Image, News, Google Shopping or YouTube** search
- **Category filter** (e.g. Finance, Food & Drink)
- Built-in **proxy rotation and retries** — Google's rate limits are handled for you
- **Pay only for delivered terms** — failed terms are listed with the reason and never charged

### Use cases

- **SEO & content planning:** find rising queries before competitors do
- **Market research:** compare brands, products or competitors across countries
- **E-commerce & dropshipping:** spot seasonal demand and trending products (Shopping search)
- **YouTube creators:** see what people search on YouTube
- **Finance & crypto:** search interest as a sentiment signal
- **Data science:** clean time series ready for pandas, BigQuery or Sheets

### Input example

```json
{
  "searchTerms": ["bitcoin", "ethereum", "solana", "dogecoin", "cardano", "ripple", "tron"],
  "mode": "compare",
  "geo": "US",
  "timeRange": "today 12-m",
  "includeRegions": true,
  "includeRelatedQueries": true
}
```

### Output example (real run, lists shortened)

```json
{
  "searchTerm": "ripple",
  "geo": "US",
  "timeRange": "today 12-m",
  "category": 0,
  "property": "web",
  "mode": "compare",
  "anchorTerm": "solana",
  "lowPrecision": false,
  "averageInterest": 3.38,
  "peak": {
    "date": "2025-12-14T00:00:00.000Z",
    "value": 6.13
  },
  "latest": {
    "date": "2026-10-18T00:00:00.000Z",
    "value": 2.54
  },
  "timeline": [
    {
      "date": "2025-10-26T00:00:00.000Z",
      "label": "Oct 26 \u2013 Nov 1, 2025",
      "value": 2.63,
      "isPartial": false
    }
  ],
  "regions": [
    {
      "geoCode": "US-IN",
      "geoName": "Indiana",
      "value": 100
    }
  ],
  "relatedQueries": {
    "top": [
      {
        "query": "the ripple",
        "value": 100,
        "formattedValue": "100"
      }
    ],
    "rising": [
      {
        "query": "ripple needoh",
        "value": 32600,
        "formattedValue": "Breakout"
      }
    ]
  },
  "error": null
}
```

### Pricing

**$0.002 per search term** — all requested data (time series, regions, related queries) included. 1,000 keywords cost $2. Failed terms are free.

### Tips

- **Separate vs Compare:** use *Separate* to see each term's own trend shape; use *Compare* to see which term is searched more.
- `lowPrecision: true` means the term was tiny next to the others in its group, so Google's integer rounding makes its values approximate. Compare it with terms of similar size for better precision.
- Google Trends values are **relative** (0–100), not absolute search volumes.
- The last data point is often partial (`isPartial: true`) because the period is not over yet.

### FAQ

**Is there an official Google Trends API?** Google offers no public API for this data. This Actor reads the same data the Google Trends website shows.

**Why are related topics missing?** Google currently returns no related topics through this interface, so the Actor only delivers related queries — rather than empty fields.

**Something not working?** Open an issue on the Actor page with your input; fixes are usually quick.

# Actor input Schema

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

Keywords or phrases. One result per term.

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

'Separate': each term on its own 0–100 scale (like searching it alone on Google Trends). 'Compare': all terms on ONE common scale, unlimited number of terms.

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

Country or region code, e.g. US, DE, GB, US-CA. Empty = worldwide.

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

Period to analyse.

## `customTimeRange` (type: `string`):

Optional. Overrides the time range, format 'YYYY-MM-DD YYYY-MM-DD', e.g. '2024-01-01 2024-12-31'.

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

Which Google search to analyse.

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

Optional Google Trends category ID (0 = all categories), e.g. 7 = Finance, 71 = Food & Drink.

## `includeTimeline` (type: `boolean`):

Full time series for each term.

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

Countries, states or cities where the term is most popular.

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

Level for interest by region. 'Auto' follows Google (countries for worldwide, states for a country).

## `includeRelatedQueries` (type: `boolean`):

Top and rising related searches.

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

Language for region names and topics, e.g. en-US, de, fr.

## `maxConcurrency` (type: `integer`):

Terms processed at the same time in separate mode.

## `proxyConfiguration` (type: `object`):

Google limits requests per IP. The default works for most runs.

## Actor input object example

```json
{
  "searchTerms": [
    "bitcoin",
    "ethereum",
    "solana"
  ],
  "mode": "separate",
  "geo": "",
  "timeRange": "today 12-m",
  "property": "",
  "category": 0,
  "includeTimeline": true,
  "includeRegions": true,
  "regionResolution": "auto",
  "includeRelatedQueries": true,
  "language": "en-US",
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

One row per search term: interest over time, by region and related queries.

# 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": [
        "bitcoin",
        "ethereum",
        "solana"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datatidy/google-trends-unlimited").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": [
        "bitcoin",
        "ethereum",
        "solana",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("datatidy/google-trends-unlimited").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": [
    "bitcoin",
    "ethereum",
    "solana"
  ]
}' |
apify call datatidy/google-trends-unlimited --silent --output-dataset

```

## MCP server setup

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

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/nhdlbAPaUZUlDcV9G/builds/v3PdWe9OCg1ffnUc2/openapi.json