# Google Trends Bulk & Seasonality Analyzer (`happysproutstore/google-trends-seasonality`) Actor

Paste hundreds of keywords and get, for each one, its peak and low months, a monthly seasonality index, year-over-year growth, trend direction and months until the next peak. Optional related and rising queries.

- **URL**: https://apify.com/happysproutstore/google-trends-seasonality.md
- **Developed by:** [Recep Vural](https://apify.com/happysproutstore) (community)
- **Categories:** SEO tools, Marketing, E-commerce
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 keyword analyzeds

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 Bulk & Seasonality Analyzer

Paste a list of keywords. The Actor returns **one ready-to-use row per keyword and country**. You do not have to download charts and work out the numbers yourself.

| Field | Meaning |
|---|---|
| `peakMonths` / `lowMonths` | Months with the highest and lowest search interest, averaged over every year in the window |
| `monthlySeasonalityIndex` | Interest for each calendar month, where 100 is the keyword's average month |
| `seasonalityLabel` | `strongly seasonal`, `seasonal` or `evergreen` |
| `monthsUntilPeak` | Months from now until the next peak month, useful for planning content or stock |
| `yoyGrowthPercent` | Last 12 months compared with the 12 months before |
| `trendDirection` | `rising`, `stable` or `declining`, based on a linear slope over the window |
| `relatedQueries` | Optional top and rising queries (for example "Breakout") |
| `timeline` | Optional raw weekly or monthly points |

Each keyword is queried on its own, so each one has its own 0–100 scale. This suits seasonality and growth. To compare keywords against each other on one shared scale, use Google Trends' own compare view.

### Who it is for

- E-commerce and print-on-demand sellers deciding when to list and stock products
- Content creators and SEO teams planning a seasonal editorial calendar
- Analysts screening hundreds of product ideas for growth

### Input example

```json
{"keywords": ["sunscreen", "pumpkin spice", "habit tracker"], "geos": ["US", "GB"], "timeframe": "today 5-y", "includeRelatedQueries": true}
```

### Output example

```json
{"keyword": "sunscreen", "geo": "US", "peakMonths": ["Jun", "May"], "lowMonths": ["Dec", "Nov", "Oct"],
 "seasonalityLabel": "strongly seasonal", "seasonalityStrength": 0.547, "yoyGrowthPercent": 59.3,
 "trendDirection": "rising", "monthsUntilPeak": 8,
 "relatedQueries": {"rising": [{"query": "beauty of joseon sunscreen", "value": "Breakout"}]}}
```

### Reliability

Google limits Trends requests per IP. On a 429 or 5xx response the Actor retries with a new proxy session and exponential backoff, up to 6 times per request. A keyword that still fails returns a row with `error` set and is **not charged**. Use the Residential proxy group for large batches.

Not affiliated with Google. By HAPPYSPROUTSTORE LLC.

# Actor input Schema

## `keywords` (type: `array`):

One keyword per line. Each one is analyzed on its own, so every keyword gets its own 0-100 scale.

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

Two-letter codes such as US, GB, DE or TR. Leave empty for worldwide.

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

Timeframe.

## `searchType` (type: `string`):

Search type.

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

Google Trends category ID. 0 means all categories.

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

Include top and rising related queries.

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

Include raw timeline.

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

Google limits requests per IP. The default Apify proxy works for small batches; switch to the Residential group for large batches.

## Actor input object example

```json
{
  "keywords": [
    "sunscreen",
    "pumpkin spice"
  ],
  "geos": [
    "US"
  ],
  "timeframe": "today 5-y",
  "searchType": "",
  "category": 0,
  "includeRelatedQueries": false,
  "includeTimeline": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

No description

# 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 = {
    "keywords": [
        "sunscreen",
        "pumpkin spice"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("happysproutstore/google-trends-seasonality").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 = {
    "keywords": [
        "sunscreen",
        "pumpkin spice",
    ],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("happysproutstore/google-trends-seasonality").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 '{
  "keywords": [
    "sunscreen",
    "pumpkin spice"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call happysproutstore/google-trends-seasonality --silent --output-dataset

```

## MCP server setup

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

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/x7jvPzQ6gHoTgcLNj/builds/8qJtdaaYwlJfWXc2K/openapi.json