# Google Trends Scraper — Interest, Queries & Trending Now (`jadey_orbit/google-trends-scraper`) Actor
Extract Google Trends data fast: interest over time, interest by region, related queries and topics, and real-time trending searches. Pay per result.
- **URL**: https://apify.com/jadey\_orbit/google-trends-scraper.md
- **Developed by:** [Matt Sparks](https://apify.com/jadey_orbit) (community)
- **Categories:** SEO tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 1,000 data rows
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use 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 & Trending Now
Extract **Google Trends data** for any keyword: interest over time, interest by region, related queries, related topics, and real-time trending searches. Built API-first (no slow browser automation), so runs finish in **seconds** and cost less.
### What data does it extract?
| Data type | What you get |
|---|---|
| **Interest over time** | 0–100 search-interest index per date for your timeframe |
| **Interest by region** | Interest by country, state/region, city, or US metro area |
| **Related queries** | Top & rising queries with values and growth ("Breakout") |
| **Related topics** | Top & rising topics with type (e.g. Cryptocurrency, Company) |
| **Trending now** | Current trending searches with approximate traffic, start time, and related queries — 300+ entries per region |
Any timeframe Google Trends supports: `now 1-H` … `today 5-y`, `all`, or explicit date ranges. Any country or region. Category filtering supported.
### Why this scraper?
- ⚡ **API-first, not browser-based** — most Google Trends actors drive a headless Chrome through the Trends UI; this one talks to Trends data endpoints directly. Faster runs, lower compute, fewer flaky failures.
- 📊 **All five datasets in one actor** — no need for separate actors for trending searches.
- 💰 **$1.50 per 1,000 rows** — pay only for delivered results.
- 🔁 **Automatic session rotation** — rate limits are handled with retries, backoff, and fresh sessions.
### Pricing
| Event | Price | When charged |
|---|---|---|
| Actor start | $0.02 | Once per run |
| Data row | $0.0015 | Per result row ($1.50 / 1,000) |
**Example**: 12 months of weekly interest + 51 US states + related queries & topics for one keyword ≈ 230 rows ≈ **$0.37**.
### Input
```json
{
"queries": ["bitcoin", "ethereum"],
"dataTypes": ["interestOverTime", "interestByRegion", "relatedQueries", "relatedTopics"],
"timeframe": "today 12-m",
"geo": "US",
"regionResolution": "REGION",
"includeTrendingNow": true,
"trendingHours": 24
}
````
Leave `queries` empty and enable `includeTrendingNow` to get only trending searches.
### Output examples
```json
{ "type": "interestOverTime", "keyword": "bitcoin", "geo": "US", "date": "2026-04-17T00:00:00.000Z", "value": 86, "isPartial": false }
{ "type": "interestByRegion", "keyword": "bitcoin", "geoCode": "US-WY", "geoName": "Wyoming", "value": 100 }
{ "type": "relatedQueries", "keyword": "bitcoin", "rankType": "RISING", "query": "bitcoin etf", "formattedValue": "+250%" }
{ "type": "trendingNow", "geo": "US", "keyword": "taylor farms", "approxTraffic": 200000, "startedAt": "2026-07-16T21:20:00.000Z", "relatedQueries": ["taylor farms lettuce"] }
```
Download as **JSON, CSV, Excel**, or fetch via API.
### Use from code or AI agents
- **API / SDKs**: run and fetch results with the [Apify API](https://docs.apify.com/api/v2).
- **MCP**: works out of the box with the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — Claude, Cursor, and other AI agents can call it as a tool.
- **Scheduling**: run it daily/hourly with Apify Schedules for keyword monitoring.
### Common use cases
- **SEO & content planning** — find rising queries before they peak
- **Market research** — compare brand interest across regions and time
- **Trend monitoring** — feed trending-now data into news/content pipelines
- **Trading signals** — track search interest for tickers and products
- **Ad timing** — schedule campaigns around seasonal interest curves
### Notes & troubleshooting
- Values are Google's relative 0–100 index per query context, not absolute volumes.
- Residential proxy (the default) is strongly recommended; Google rate-limits datacenter IPs.
- A query returning no rows usually means Google has no data for that keyword/region/timeframe combination.
- Issues or feature requests (multi-keyword comparison, categories list, hourly granularity)? Open an issue in the **Issues** tab — answered within 24 hours.
# Actor input Schema
## `queries` (type: `array`):
Keywords to get Google Trends data for (e.g. bitcoin). Each term is processed separately. Not needed in Trending-now mode.
## `dataTypes` (type: `array`):
Which Trends datasets to extract per search term.
## `timeframe` (type: `string`):
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 explicit dates 2025-01-01 2025-06-30.
## `geo` (type: `string`):
Two-letter country code (e.g. US, GB, DE) or region code (US-NY). Empty = worldwide.
## `category` (type: `integer`):
Google Trends category ID to narrow results (0 = all categories).
## `regionResolution` (type: `string`):
Granularity for interest-by-region data.
## `includeTrendingNow` (type: `boolean`):
Also extract current trending searches for the selected region (works even with no search terms).
## `trendingHours` (type: `integer`):
How far back to look for trending searches (1–191 hours).
## `proxyConfiguration` (type: `object`):
Residential proxies are strongly recommended — Google rate-limits datacenter IPs.
## Actor input object example
```json
{
"queries": [
"bitcoin"
],
"dataTypes": [
"interestOverTime"
],
"timeframe": "today 12-m",
"geo": "",
"category": 0,
"regionResolution": "REGION",
"includeTrendingNow": false,
"trendingHours": 24,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"queries": [
"bitcoin"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("jadey_orbit/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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "queries": ["bitcoin"] }
# Run the Actor and wait for it to finish
run = client.actor("jadey_orbit/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 '{
"queries": [
"bitcoin"
]
}' |
apify call jadey_orbit/google-trends-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jadey_orbit/google-trends-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Trends Scraper — Interest, Queries & Trending Now",
"description": "Extract Google Trends data fast: interest over time, interest by region, related queries and topics, and real-time trending searches. Pay per result.",
"version": "0.1",
"x-build-id": "VEeFOlJuYspNTKnNb"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jadey_orbit~google-trends-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jadey_orbit-google-trends-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/jadey_orbit~google-trends-scraper/runs": {
"post": {
"operationId": "runs-sync-jadey_orbit-google-trends-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/jadey_orbit~google-trends-scraper/run-sync": {
"post": {
"operationId": "run-sync-jadey_orbit-google-trends-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"queries": {
"title": "Search terms",
"type": "array",
"description": "Keywords to get Google Trends data for (e.g. bitcoin). Each term is processed separately. Not needed in Trending-now mode.",
"items": {
"type": "string"
}
},
"dataTypes": {
"title": "Data to extract",
"type": "array",
"description": "Which Trends datasets to extract per search term.",
"items": {
"type": "string",
"enum": [
"interestOverTime",
"interestByRegion",
"relatedQueries",
"relatedTopics"
],
"enumTitles": [
"Interest over time",
"Interest by region",
"Related queries",
"Related topics"
]
},
"default": [
"interestOverTime"
]
},
"timeframe": {
"title": "Timeframe",
"type": "string",
"description": "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 explicit dates 2025-01-01 2025-06-30.",
"default": "today 12-m"
},
"geo": {
"title": "Region",
"type": "string",
"description": "Two-letter country code (e.g. US, GB, DE) or region code (US-NY). Empty = worldwide.",
"default": ""
},
"category": {
"title": "Category ID",
"type": "integer",
"description": "Google Trends category ID to narrow results (0 = all categories).",
"default": 0
},
"regionResolution": {
"title": "Region resolution",
"enum": [
"COUNTRY",
"REGION",
"CITY",
"DMA"
],
"type": "string",
"description": "Granularity for interest-by-region data.",
"default": "REGION"
},
"includeTrendingNow": {
"title": "Include trending searches",
"type": "boolean",
"description": "Also extract current trending searches for the selected region (works even with no search terms).",
"default": false
},
"trendingHours": {
"title": "Trending window (hours)",
"minimum": 1,
"maximum": 191,
"type": "integer",
"description": "How far back to look for trending searches (1–191 hours).",
"default": 24
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Residential proxies are strongly recommended — Google rate-limits datacenter IPs.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```