# Google Trends Daily Scraper API (`technicaldost/google-trends-scraper`) Actor

Get daily Google trending searches (RSS) and interest-over-time timelines for keywords. For SEO, content and market research. Pay per result.

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

## Pricing

from $4.00 / 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/platform/actors/running/actors-in-store#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

Discover what people are searching for now and measure 12 months of demand for any topic. Google Trends Scraper exports structured trend data for SEO research, content planning, campaign timing, market analysis, and competitor monitoring.

The Actor uses Google Trends' free public RSS and web endpoints. It requires no API key, paid proxy, or third-party data subscription.

### What it does

- `daily_trending` returns the latest trending searches for a country, including rank, approximate traffic, publication time, and related news coverage.
- `interest_over_time` returns weekly Google Trends interest points and the average interest score for each requested keyword over the last 12 months.
- Every result is stored as its own dataset item, ready for JSON, CSV, Excel, or API export.

### Input

| Field | Type | Required | Default | Description |
| --- | --- | --- | --- | --- |
| `mode` | string | No | `daily_trending` | `daily_trending` or `interest_over_time`. |
| `geo` | string | No | `US` | Google Trends geographic code, such as `US`, `GB`, `IN`, or `DE`. |
| `keywords` | string\[] | No | `["ai", "bitcoin"]` | Topics used only by `interest_over_time`. |
| `language` | string | No | `en` | Google Trends interface language code. |

Daily trends example:

```json
{
  "mode": "daily_trending",
  "geo": "US",
  "language": "en"
}
```

Interest-over-time example:

```json
{
  "mode": "interest_over_time",
  "geo": "US",
  "keywords": ["ai", "bitcoin"],
  "language": "en"
}
```

### Output

A daily trending result looks like this:

```json
{
  "rank": 1,
  "title": "example trending search",
  "approxTraffic": "10000+",
  "publishedAt": "2026-07-16T19:00:00.000Z",
  "relatedNews": [
    {
      "title": "Example related headline",
      "url": "https://example.com/article",
      "source": "Example News"
    }
  ],
  "geo": "US"
}
```

An interest-over-time result looks like this:

```json
{
  "keyword": "ai",
  "geo": "US",
  "points": [
    {
      "date": "2025-07-20T00:00:00.000Z",
      "value": 62
    }
  ],
  "averageValue": 71
}
```

Interest values use Google's normalized 0–100 scale: 100 is the topic's peak popularity for the selected location and period, while 50 means half the relative search interest.

### Run locally

Use Node.js 20 or newer:

```bash
npm install
npm start
```

To provide local input, save JSON to `storage/key_value_stores/default/INPUT.json`. Results are written to `storage/datasets/default/`.

### Reliability and cost

Requests use timeouts, retries with backoff, and a maximum concurrency of five. A failed keyword does not stop other keywords from being processed. The Actor uses only free public Google Trends sources and charges one pay-per-event `result` event for each successfully stored dataset item.

# Actor input Schema

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

Get current daily trending searches or 12 months of interest for each keyword.

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

Google Trends geographic code, such as US, GB, IN, or DE.

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

Topics to analyze. Used only in interest\_over\_time mode.

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

Google Trends interface language code, such as en, de, or fr.

## Actor input object example

```json
{
  "mode": "daily_trending",
  "geo": "US",
  "keywords": [
    "ai",
    "bitcoin"
  ],
  "language": "en"
}
```

# 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("technicaldost/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 = {}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,technicaldost/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/7bOKUmEkpe2UCK6R1/builds/ceqq9pufAcUtHbr6F/openapi.json