# Google Trends Scraper - Interest, Related & Trending (`justfeel/google-trends-scraper`) Actor

Reliable Google Trends data: interest over time, related queries & topics, interest by region, and real-time trending searches. Clean JSON output, proxy rotation built in. No login required.

- **URL**: https://apify.com/justfeel/google-trends-scraper.md
- **Developed by:** [Yusuf](https://apify.com/justfeel) (community)
- **Categories:** SEO tools, AI
- **Stats:** 2 total users, 1 monthly users, 68.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 — Interest Over Time, Related Queries, Regions & Trending Now

Extract **Google Trends data as clean JSON** — no login, no browser, no flaky automation. Built on Google's own internal data endpoints with automatic cookie handling, token flow, and proxy rotation, so runs succeed where naive scrapers get blocked.

### What it does

| Scrape type | Output |
|---|---|
| **Interest over time** | Search-interest score (0–100) per date for up to 5 keywords compared, any timeframe from 1 hour to 2004-present |
| **Related queries & topics** | Top and rising related searches for a keyword — goldmine for SEO and content research. (Related *topics* are returned only when Google provides them; Google currently returns them sparsely.) |
| **Interest by region** | Score per country, state, city, or US metro |
| **Trending now** | Real-time trending searches per country with traffic estimates and linked news articles |

### Why this scraper

- ✅ **Reliability-first design** — session warmup + token flow + automatic retry with proxy rotation on every 429/403
- ✅ **No browser** — pure HTTP, fast and cheap to run
- ✅ **Structured output** — flat JSON records ready for Sheets, BI tools, or LLM/RAG pipelines
- ✅ **Compare mode** — up to 5 keywords per comparison, longer lists chunked automatically
- ✅ **Bring your own proxies** — optional custom proxy URLs, or use Apify residential proxy

### Use cases

- **SEO & content**: keyword seasonality, rising queries, topic research
- **E-commerce**: product demand validation before you stock or launch
- **Market research**: brand interest by geography, competitor comparison
- **AI agents & RAG**: feed live search-demand signals into LLM workflows
- **Newsrooms & creators**: catch trending topics the moment they spike

### Input example

```json
{
    "scrapeType": "interest_over_time",
    "keywords": ["chatgpt", "claude ai"],
    "geo": "US",
    "timeframe": "today 12-m"
}
```

### Output example

```json
{
    "type": "interest_over_time",
    "keywords": ["chatgpt", "claude ai"],
    "geo": "US",
    "date": "Jul 18, 2026",
    "timestamp": 1784332800,
    "values": { "chatgpt": 51, "claude ai": 4 },
    "is_partial": true
}
```

### Timeframe reference

`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 custom ranges like `2024-01-01 2024-12-31`.

### FAQ

**Is this legal?** The actor only accesses publicly available, aggregated, anonymous data — no personal data, no login, no paywall.

**Why do some runs need residential proxies?** Google rate-limits datacenter IPs on high volume. Light usage works out of the box; for large batches enable Apify residential proxy or plug in your own.

**Found an issue?** Open an issue on the actor page — maintenance and fast fixes are the whole point of this actor.

# Actor input Schema

## `scrapeType` (type: `string`):

Type of Google Trends data to extract.

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

Keywords to analyze. Not needed for 'Trending now'. For interest over time, keywords are compared in groups of up to 5 (Google's limit).

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

Two-letter country code like US, GB, DE, TR - or empty for worldwide. For 'Trending now' this selects the trending feed country (default US).

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

Google Trends timeframe, e.g. 'now 1-d', 'now 7-d', 'today 1-m', 'today 3-m', 'today 12-m', 'today 5-y', 'all'.

## `resolution` (type: `string`):

Granularity for 'Interest by region'.

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

Apify proxy settings. Residential proxies recommended for high-volume runs.

## `customProxyUrls` (type: `array`):

Optional: your own proxy URLs (http://user:pass@host:port). Overrides Apify proxy when set.

## Actor input object example

```json
{
  "scrapeType": "interest_over_time",
  "keywords": [
    "chatgpt",
    "claude ai"
  ],
  "geo": "",
  "timeframe": "today 12-m",
  "resolution": "COUNTRY",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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": [
        "chatgpt",
        "claude ai"
    ]
};

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

# Run the Actor and wait for it to finish
run = client.actor("justfeel/google-trends-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
    "chatgpt",
    "claude ai"
  ]
}' |
apify call justfeel/google-trends-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=justfeel/google-trends-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/LwJpoMuAPu5ER2NMh/builds/ViMXExvQrao0d3ZoX/openapi.json