Google Trends Scraper API - High Success Rate

# Google Trends Scraper API - High Success Rate (`johandev_04/google-trends-scraper`) Actor

Extract Google Trends data (interest over time) without getting blocked. High success rate, residential proxies, pay per successful query.

- **URL**: https://apify.com/johandev_04/google-trends-scraper.md
- **Developed by:** [Johan Ortiz](https://apify.com/johandev_04) (community)
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $70.00 / 1,000 successful queries

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

<h1>Google Trends Scraper API - High Success Rate</h1>

<p>Extract real-time search interest data from Google Trends without getting blocked. This Actor bypasses rate limits (HTTP 429) using smart session rotation and residential proxies, making it perfect for market research and SEO analysis.</p>

<h2>🛡️ Why choose this Actor? (High Success Rate & Anti-Ban)</h2>
<p>Google Trends is notorious for blocking scrapers. This Actor is built to survive:</p>
<ul>
    <li><strong>Bypasses 429 Limits:</strong> Uses intelligent session management to avoid rate limiting.</li>
    <li><strong>Residential Proxies:</strong> Rotates IPs to mimic real users and prevent blocks.</li>
    <li><strong>Zero Data Loss:</strong> State persistence ensures that if a run is interrupted, it resumes exactly where it left off.</li>
</ul>

<h2>🚀 Features</h2>
<ul>
    <li><strong>Interest Over Time:</strong> Get historical search interest data.</li>
    <li><strong>Related Queries:</strong> Discover what else people are searching for.</li>
    <li><strong>Pay-Per-Event:</strong> Only pay for successful extractions. No subscriptions.</li>
    <li><strong>Structured Output:</strong> Clean JSON ready for your dashboards.</li>
</ul>

<h2>📖 How to use</h2>
<ol>
    <li>Go to the <strong>Input</strong> tab.</li>
    <li>Enter your search terms (e.g., "bitcoin", "AI", "ecommerce").</li>
    <li>Select the geographical region and time range.</li>
    <li>Click <strong>Start</strong>.</li>
    <li>Download your data from the <strong>Storage</strong> tab.</li>
</ol>

<h2>📊 Output Data</h2>
<p>The dataset contains clean, structured data for each keyword:</p>
<pre><code>{
  "keyword": "Artificial Intelligence",
  "interestOverTime": [
    {"date": "2026-10-01", "value": 85},
    {"date": "2026-10-02", "value": 92}
  ],
  "relatedQueries": ["machine learning", "chatgpt"]
}</code></pre>

# Actor input Schema

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

List of search terms to analyze.

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

Country code (e.g., 'US', 'ES', 'MX') or leave empty for worldwide.

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

Time range for data.

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

Maximum number of successful keyword extractions.

## Actor input object example

```json
{
  "keywords": [
    "artificial intelligence",
    "machine learning"
  ],
  "geo": "",
  "timeframe": "today 12-m",
  "maxItems": 100
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing keywords, timeline data, and dates.

# 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": [
        "artificial intelligence",
        "machine learning"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("johandev_04/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": [
        "artificial intelligence",
        "machine learning",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("johandev_04/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 '{
  "keywords": [
    "artificial intelligence",
    "machine learning"
  ]
}' |
apify call johandev_04/google-trends-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,johandev_04/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/Gl5z5FLo9gIgU40eF/builds/eWtfhiThys0Dbjheg/openapi.json