# Google Trends Scraper — interest, regions & related queries (`edwin_beale/google-trends-scraper`) Actor

Interest over time, interest by region, and related queries/topics for up to 5 terms. Flat rows ready for Sheets. Handles Google's rate limits properly.

- **URL**: https://apify.com/edwin\_beale/google-trends-scraper.md
- **Developed by:** [Edwin Beale](https://apify.com/edwin_beale) (community)
- **Categories:** SEO tools, News
- **Stats:** 2 total users, 1 monthly users, 83.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 term 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/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 Scraper

Interest over time, interest by region, and related queries for up to 5 terms — as **flat rows** ready for Google Sheets, Excel, or your pipeline.

### Why this one

- Handles Google's rate limiting properly: fresh sessions, cookie handshake, exponential backoff. No more empty datasets on the third run.
- Flat output: one row per term per date/region/query. No nested JSON to untangle.
- Compare up to 5 terms in one run, any country, timeframes from a day to 2004-present.

### Output samples

```json
{ "section": "interestOverTime", "term": "chatgpt", "date": "Aug 2026", "value": 84, "isPartial": false }
{ "section": "interestByRegion", "term": "chatgpt", "regionName": "Kerala", "regionCode": "IN-KL", "value": 100 }
{ "section": "relatedQueries", "term": "chatgpt", "kind": "rising", "query": "chatgpt atlas", "formattedValue": "+950%" }
```

### Pricing

Pay per result row. Small runs cost cents; you only pay for what comes back.

### Notes

Values are Google's 0–100 relative index, not absolute volumes. Data is public; this actor fetches the same JSON the Trends website itself uses.

# Actor input Schema

## `terms` (type: `array`):

Terms to compare, exactly as you would type them at trends.google.com.

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

Two-letter country code (US, IN, GB, DE…) or empty for worldwide.

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

How far back to look.

## `sections` (type: `array`):

Each section produces its own rows.

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

Google Trends category id, 0 = all categories.

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

Google rate-limits by IP; keep Apify proxy on.

## Actor input object example

```json
{
  "terms": [
    "chatgpt",
    "claude ai"
  ],
  "geo": "",
  "timeframe": "today 12-m",
  "sections": [
    "interestOverTime",
    "relatedQueries"
  ],
  "category": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Flat rows for every requested section: interest over time, interest by region and related queries.

## `summary` (type: `string`):

Terms, geo, timeframe, sections requested and total rows pushed.

# 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 = {
    "terms": [
        "chatgpt",
        "claude ai"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("edwin_beale/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 = { "terms": [
        "chatgpt",
        "claude ai",
    ] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,edwin_beale/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/rBCJ7gYLALP56Hi5X/builds/9TGTNPn1sjEhoCBI7/openapi.json