# Google Trends Scraper - Fast, No Browser (`perceptual_lacrosse/google-trends-fast`) Actor

Get Google Trends data for any keyword: interest over time, interest by region, top and rising related queries and topics. Any country, time range and category. Fast HTTP API, no browser timeouts.

- **URL**: https://apify.com/perceptual_lacrosse/google-trends-fast.md
- **Developed by:** [sunghwi lee](https://apify.com/perceptual_lacrosse) (community)
- **Categories:** SEO tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 search terms

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 - Fast, No Browser

Get **Google Trends** data for any keyword, country, time range, category and search type (Web, YouTube, News, Images, Shopping):

- **Interest over time** (weekly/daily/hourly points, 0-100)
- **Interest by region** (states / countries, 0-100)
- **Related queries** - top and rising (e.g. `+300%`, `Breakout`)

It talks to Google Trends' own JSON endpoints instead of loading pages in a browser, so a term takes ~1-2 seconds, runs don't time out, and you pay a fraction of the compute. Failed requests are retried with fresh proxy sessions.

### Why this one?

| | Browser-based scrapers | This Actor |
|---|---|---|
| Speed | 30-180 s per page | ~1-2 s per term |
| Timeouts / aborted runs | common | none in our tests (20/20 terms, 0 retries) |
| Price | $3+ per 1,000 results | **$2 per 1,000 terms**, all data included |

Input field names (`searchTerms`, `isMultiple`, `timeRange`, `customTimeRange`, `geo`, `category`, `maxItems`) match the popular Google Trends scraper, so you can switch without changing your integration.

### Use cases

- **SEO & content**: find rising queries before competitors, plan seasonal content.
- **E-commerce & product research**: validate demand, compare regions.
- **Market & investment research**: track brand, ticker or product interest.
- **AI agents & dashboards**: feed fresh trend data into your pipelines.

### Input

| Field | Description |
|---|---|
| `searchTerms` | Keywords, one result per term |
| `isMultiple` | Treat `a, b, c` in one line as three terms |
| `timeRange` | `now 1-H`, `now 4-H`, `now 1-d`, `now 7-d`, `today 1-m`, `today 3-m`, `today 12-m` (default), `today 5-y`, `all` |
| `customTimeRange` | `2025-01-01 2025-06-30` (overrides `timeRange`) |
| `geo` | `US`, `GB`, `KR`, `US-CA`... empty = Worldwide |
| `category` | Trends category ID, `0` = all |
| `searchProperty` | `""` web, `youtube`, `news`, `images`, `froogle` (Shopping) |

```json
{"searchTerms": ["bitcoin", "ozempic"], "geo": "US", "timeRange": "today 12-m"}
```

### Output (one item per term)

```json
{
  "searchTerm": "bitcoin",
  "geo": "US",
  "timeRange": "today 12-m",
  "interestOverTime": [{"date": "2026-10-11T00:00:00+00:00", "formattedTime": "Oct 11 – 17, 2026", "value": 56, "isPartial": true}],
  "interestByRegion": [{"geoCode": "US-CA", "geoName": "California", "value": 100}],
  "relatedQueries": {
    "top": [{"query": "bitcoin price", "value": 100, "formattedValue": "100", "link": "https://trends.google.com/trends/explore?q=bitcoin+price&date=today+12-m"}],
    "rising": [{"query": "...", "value": 300, "formattedValue": "+300%", "link": "..."}]
  },
  "relatedTopics": {"top": [], "rising": []}
}
```

`relatedTopics` is filled when Google returns it (currently often empty from Google's side).

### Pricing

Pay per event: **$0.002 per search term** with all the data above. No monthly fee.

### Notes

Google Trends values are relative (0-100) within each request, exactly as shown on trends.google.com.

# Actor input Schema

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

Keywords to look up, one per line (each term is a separate result).

## `isMultiple` (type: `boolean`):

If checked, 'a, b, c' in one line is treated as three separate terms.

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

Predefined time range.

## `customTimeRange` (type: `string`):

Overrides time range. Format 'YYYY-MM-DD YYYY-MM-DD', e.g. '2025-01-01 2025-06-30'.

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

Geo code like US, GB, KR, US-CA. Empty = Worldwide.

## `category` (type: `string`):

Google Trends category ID (0 = all categories, e.g. 71 = Food & Drink).

## `searchProperty` (type: `string`):

Which Google property to measure.

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

Language for region and topic names (hl), e.g. en-US, de, ko.

## `maxItems` (type: `integer`):

Limit how many terms are processed. 0 = all.

## `maxConcurrency` (type: `integer`):

Parallel terms.

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

Apify Proxy is recommended; Google Trends rate-limits aggressively.

## Actor input object example

```json
{
  "searchTerms": [
    "web scraping"
  ],
  "isMultiple": false,
  "timeRange": "today 12-m",
  "geo": "",
  "category": "0",
  "searchProperty": "",
  "language": "en-US",
  "maxItems": 0,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `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": [
        "web scraping"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("perceptual_lacrosse/google-trends-fast").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": ["web scraping"] }

# Run the Actor and wait for it to finish
run = client.actor("perceptual_lacrosse/google-trends-fast").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": [
    "web scraping"
  ]
}' |
apify call perceptual_lacrosse/google-trends-fast --silent --output-dataset

```

## MCP server setup

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

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/mjd4OlAwF3XOcwnpA/builds/pDxPjv65WawHBkjck/openapi.json