# Google Trends Scraper - Interest, Regions & Queries, $1/1K (`plotpointtech/google-trends-scraper`) Actor

Google Trends data in bulk: interest over time, interest by region, related and rising queries, related topics and daily trending searches. Compare up to 5 terms, any country and time range. $1 per 1,000 records.

- **URL**: https://apify.com/plotpointtech/google-trends-scraper.md
- **Developed by:** [Plot Point Technologies](https://apify.com/plotpointtech) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.62 / 1,000 trends records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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: Interest Over Time, Regions and Rising Queries

**Get Google Trends data for any search term as clean JSON, in bulk:** interest over time, interest by region, related queries (top and rising), related topics, and today's trending searches for a country. Fetch terms one by one or compare up to 5 together, exactly like the comparison chart on the Trends website. **$1 per 1,000 records.**

### What can this Google Trends scraper do?

- **Interest over time** for any time range: past hour to 2004-present, or a custom date range.
- **Interest by region:** countries, states, cities or US metro areas (DMA).
- **Related queries and topics**, top and rising, with growth such as `+250%` or `Breakout`.
- **Daily trending searches** for any country, with approximate traffic and news links.
- **Compare terms** in groups of up to 5 so values are relative to each other.
- **Any country, category and Google property:** web search, News, YouTube, Images or Shopping.

### What data do you get?

Every record has `searchTerm`, `dataType`, `geo`, `timeRange`, `category`, `property`, `comparedWith` and `scrapedAt`, plus:

| Data type | Fields |
|---|---|
| `interestOverTime` | `resolution`, `averageValue`, `peakValue`, `peakDate`, `pointCount`, `timeline` of `{date, formattedTime, value, isPartial}` |
| `interestByRegion` | `regions` of `{geoCode, geoName, value}`, highest first |
| `relatedQueries` | `top` and `rising` lists of `{rank, query, value, formattedValue, link}` |
| `relatedTopics` | `top` and `rising` lists with topic title, type and ID |
| `trendingSearch` | `rank`, `approxTraffic`, `startedAt`, `picture`, `newsItems`, `exploreUrl` |

### Who uses it?

- **SEO and content teams** checking whether a topic is growing or seasonal before writing about it.
- **Marketers and product teams** comparing brands, products or features by search interest and by state or country.
- **Analysts and researchers** who need Trends time series in a spreadsheet, database or notebook on a schedule.
- **Newsrooms and social teams** watching the daily trending searches.

### How to use it

1. Click **Try for free** (or **Start**).
2. Enter **Search terms** (keywords or topic IDs such as `/m/02_286`).
3. Pick **Location** (`US`, `GB`, `US-CA`, or empty for worldwide) and **Time range**.
4. Turn on **Compare terms** to put them on one chart.
5. Run it and export to Excel, CSV or JSON, or send the data to Google Sheets.

### Input example

```json
{
  "searchTerms": [
    "coffee",
    "matcha"
  ],
  "compareTerms": true,
  "geo": "US",
  "timeRange": "today 12-m",
  "dataTypes": [
    "interestOverTime",
    "interestByRegion",
    "relatedQueries"
  ]
}
```

### Output example

```json
{
  "searchTerm": "coffee",
  "dataType": "interestOverTime",
  "geo": "US",
  "timeRange": "today 12-m",
  "category": 0,
  "property": "web",
  "comparedWith": [],
  "resolution": "WEEK",
  "averageValue": 77.45,
  "peakValue": 100,
  "peakDate": "2026-04-12T00:00:00Z",
  "pointCount": 53,
  "timeline": [
    {
      "date": "2025-10-26T00:00:00Z",
      "timestamp": 1761436800,
      "formattedTime": "Oct 26 – Nov 1, 2025",
      "value": 59,
      "isPartial": false
    },
    {
      "date": "2025-11-02T00:00:00Z",
      "timestamp": 1762041600,
      "formattedTime": "Nov 2 – 8, 2025",
      "value": 65,
      "isPartial": false
    },
    {
      "date": "2025-11-09T00:00:00Z",
      "timestamp": 1762646400,
      "formattedTime": "Nov 9 – 15, 2025",
      "value": 73,
      "isPartial": false
    }
  ],
  "scrapedAt": "2026-10-28T14:33:46Z"
}
```

### How much does it cost?

You pay per record: **$1 per 1,000 records** ($0.001 each), plus a $0.00005 start fee per run. One record = one term x one data type (or one trending search).

| You fetch | Records | You pay |
|---|---|---|
| 1 term, 3 data types (default) | 3 | $0.003 |
| 100 keywords, 3 data types | 300 | $0.30 |
| 1,000 keywords, interest over time only | 1,000 | $1.00 |
| Daily top 50 trending searches for a month | 1,500 | $1.50 |

Data types for which Google returns nothing are not pushed and not charged.

### Use it via API, Make, Zapier, n8n or an AI agent

**Apify API.** Start a run and get the results back in one HTTP request (replace `YOUR_API_TOKEN` with the token from Apify Console > Settings > Integrations):

```bash
curl -X POST "https://api.apify.com/v2/acts/plotpointtech~google-trends-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["coffee", "matcha"], "compareTerms": true, "geo": "US", "timeRange": "today 12-m", "dataTypes": ["interestOverTime", "interestByRegion", "relatedQueries"]}'
```

For longer jobs, start the run asynchronously and read the dataset when it finishes. Official `apify-client` libraries exist for Python and JavaScript; the **API** tab on this page has ready-made code.

**No-code automation.** Connect the tool to **Make, Zapier, n8n, Google Sheets, Slack, Airtable** or any webhook with Apify integrations, and use **Schedules** in Apify Console to run it hourly, daily or weekly.

**AI agents (MCP).** Give Claude, ChatGPT, Cursor, VS Code or any MCP-compatible agent direct access to this tool through the hosted Apify MCP server. Add this server URL to your client:

```
https://mcp.apify.com?tools=plotpointtech/google-trends-scraper
```

The agent can then call the tool with the same input fields shown above and read the results.

### FAQ

**Is it legal to scrape Google Trends?**
The tool reads the same public, aggregated data the Google Trends website shows, plus Google's public trending-searches RSS feed. No login is used and requests are paced politely. Trends data is aggregated and anonymous. Check that your use fits Google's terms.

**Are the values search volumes?**
No. Like the Trends website, values are relative (0 to 100) to the highest point in the chart. Values from separate runs or separate comparison groups are not on the same scale.

**Why are some rising queries unrelated to my term?**
Google sometimes mixes generic queries into rising lists for automated requests. The rising-query filter (`filterUnrelatedRising`, on by default) removes those that share no word with your term. Treat rising lists as indicative. Related topics are often returned empty.

**What if Google rate-limits the run?**
Requests are retried with backoff. Terms that still fail are logged, skipped and not charged.

**Can I get data for a city or US metro area?**
Yes. Set Region resolution to `CITY` or `DMA`.

### Related tools from Plot Point Technologies

- [News Scraper - Worldwide News Search by Keyword, 65+ Languages](https://apify.com/plotpointtech/worldwide-news-search): news articles worldwide by keyword, country and language.
- [SEO Audit Crawler - Titles, Meta, H1, Broken Pages & Links](https://apify.com/plotpointtech/sitemap-seo-page-audit): on-page SEO check of every page in a website's sitemap.
- [Google Ads Transparency Scraper - Full Ad Text & Creatives](https://apify.com/plotpointtech/google-ads-transparency-scraper): competitors' Google ads with full ad text, images and videos.
- [Google Play Reviews Scraper - $0.08 per 1,000 Reviews](https://apify.com/plotpointtech/google-play-reviews): Android app reviews with rating, version and developer reply.

Plot Point Technologies is not affiliated with Google. Google Trends is a trademark of Google LLC.

***

If this tool saved you time, we would be grateful for a short review on this page; it helps other people find it. If something did not work as expected, please open an issue on the **Issues** tab and we will look into it quickly.

# Actor input Schema

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

Keywords or Google topic IDs (e.g. /m/02_286). Each term gets its own records.

## `compareTerms` (type: `boolean`):

If on, terms are compared in one chart in groups of up to 5 (values are relative to each other, like the Trends website). If off, each term is fetched on its own.

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

Country or region code, e.g. US, GB, DE, US-CA. Use an empty value or WORLDWIDE for worldwide.

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

Google Trends time range: now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all, or a custom range like 2024-01-01 2024-12-31.

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

Google Trends category ID (0 = all categories; e.g. 71 Food & Drink, 7 Finance, 958 Jobs). See the README.

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

Which Google search to measure.

## `dataTypes` (type: `array`):

One record is produced per search term for each selected data type. Related topics are often returned empty by Google for automated requests; empty results are not pushed or charged.

## `filterUnrelatedRising` (type: `boolean`):

Drop rising related queries that share no word with the search term. Google often mixes unrelated generic queries into rising lists returned to automated clients; see the README. Not applied to topic IDs.

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

Level for interest by region. Auto = countries for worldwide, sub-regions (states) for a country. DMA (metro) is US only.

## `includeLowSearchVolume` (type: `boolean`):

Also list regions where Google has too little data (value 0).

## `includeTrendingSearches` (type: `boolean`):

Also return today's trending searches for a country (one record per trending search).

## `trendingOnly` (type: `boolean`):

Skip search terms and return only trending searches (requires 'Include daily trending searches').

## `trendingGeo` (type: `string`):

Country code for trending searches, e.g. US, GB, IN. Defaults to Location.

## `maxTrendingSearches` (type: `integer`):

Upper limit of trending search records.

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

Interface language for topic and region names, e.g. en-US, de, fr.

## Actor input object example

```json
{
  "searchTerms": [
    "coffee"
  ],
  "compareTerms": false,
  "geo": "US",
  "timeRange": "today 12-m",
  "category": 0,
  "property": "web",
  "dataTypes": [
    "interestOverTime",
    "interestByRegion",
    "relatedQueries"
  ],
  "filterUnrelatedRising": true,
  "regionResolution": "AUTO",
  "includeLowSearchVolume": false,
  "includeTrendingSearches": false,
  "trendingOnly": false,
  "maxTrendingSearches": 50,
  "language": "en-US"
}
```

# 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 = {
    "searchTerms": [
        "coffee"
    ],
    "geo": "US",
    "timeRange": "today 12-m"
};

// Run the Actor and wait for it to finish
const run = await client.actor("plotpointtech/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 = {
    "searchTerms": ["coffee"],
    "geo": "US",
    "timeRange": "today 12-m",
}

# Run the Actor and wait for it to finish
run = client.actor("plotpointtech/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 '{
  "searchTerms": [
    "coffee"
  ],
  "geo": "US",
  "timeRange": "today 12-m"
}' |
apify call plotpointtech/google-trends-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,plotpointtech/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/aXbzbGBeutSOMKgd4/builds/9RqnWu6ZKVquKfS9s/openapi.json