# Trend Opportunity Radar (`gmtr/goldengoose`) Actor

Find rising Google searches across countries before they peak. Get ranked, brand-safe trend opportunities with estimated demand and supporting news—ready for content, SEO, product research, and market intelligence.

- **URL**: https://apify.com/gmtr/goldengoose.md
- **Developed by:** [Peter Fiorino](https://apify.com/gmtr) (community)
- **Categories:** SEO tools, News, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 trend opportunities

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 Opportunity Radar

Turn current Google search trends into ranked, structured opportunities for content planning, SEO research, newsroom monitoring, and automated workflows.

Instead of checking countries manually, this Actor collects daily trending searches across as many as 20 locations in one run. It normalizes approximate traffic, merges duplicate topics, preserves the supporting news supplied by Google, and adds practical opportunity, category, freshness, and brand-safety signals.

### What you can do

- Discover rising topics across several countries.
- Compare estimated search activity using normalized traffic values.
- Find trends that appear in more than one market.
- Prioritize timely ideas for articles, videos, campaigns, and research.
- Feed structured trend records into AI agents, dashboards, spreadsheets, or automations.
- Review source headlines before choosing a topic.

### Input

Select one or more country codes and choose the maximum number of results. The Actor accepts up to 20 countries per run and processes them concurrently.

Example:

```json
{
  "geos": ["US", "CA", "GB"],
  "maxResults": 100
}
```

### Output

Each dataset item contains the trend title, country, approximate traffic, normalized traffic, publication time, source stories, category, freshness, opportunity score, and brand-safety assessment. Duplicate topics are consolidated so downstream tools receive cleaner records.

Results are available through the Apify dataset API and can be exported as JSON, CSV, Excel, XML, or RSS. You can run the Actor manually, schedule it, connect it to integrations, or call it from an AI agent.

### Pricing

This Actor uses pay-per-result pricing. Charges stop when the run reaches your configured spending limit, and results are charged only after they are successfully written to the dataset.

### Reliability

The Actor uses public Google Trends country feeds and does not require a proxy, browser session, cookie, external API key, or LLM. Failed or incomplete records are not charged. If an upstream feed is temporarily unavailable, review the run log and retry later.

# Actor input Schema

## `geos` (type: `array`):

Two-letter country codes supported by Google Trends.

## `maxResults` (type: `integer`):

Maximum unique trends returned after cross-country deduplication.

## `minTraffic` (type: `integer`):

Drop trends below this approximate search volume. Use 0 to keep all.

## `includeNews` (type: `boolean`):

Include titles, publishers, and URLs supplied with the public trend feed.

## Actor input object example

```json
{
  "geos": [
    "US"
  ],
  "maxResults": 100,
  "minTraffic": 0,
  "includeNews": true
}
```

# Actor output Schema

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

JSON records in the run's 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("gmtr/goldengoose").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("gmtr/goldengoose").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 gmtr/goldengoose --silent --output-dataset

```

## MCP server setup

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

```

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/NegifmK8czu95q7aZ/builds/09laDtykUH8eI71mn/openapi.json