Google Trends Scraper

hipersoft/google-trends-scraper

Scrape Google Trends for any keyword: interest over time, related and rising queries, and interest by region. Per country and timeframe. For SEO, market and trend research. No setup.

Run this scraper →See the API call

Total users

Monthly users

Total runs

139

Per keyword scraped

$0.001

Last rebuilt

Oct 26, 2026

Overview

Get the full Google Trends picture for any keyword in clean, structured JSON: interest over time, top related and fastest-rising queries, and interest broken down by region. No account, no API key. Built for SEO, market research, and trend-spotting teams.

Google Trends Scraper input — keywords, geo and timeframe in the Apify Console

Features

📈 Interest over time — a full interestOverTime timeline of date, timestamp, and normalized value (0–100) points for your timeframe.
🔗 Related & rising queries — with includeRelatedQueries, get relatedQueries (top) and risingQueries (breakout) lists with their scores.
🗺️ Interest by region — with includeInterestByRegion, get an interestByRegion breakdown of location and value.
⏱️ Flexible timeframes — timeframe from past_hour all the way to since_2004.
🌍 Geo targeting — set geo to a country code (e.g. US, GB, DE) or WORLDWIDE.
📊 Computed summary — each row adds averageInterest and peakInterest derived from the timeline.
🛡️ Reliable results — returns real, structured trend data every run instead of empty responses.

What you get

Google Trends Scraper output example — keyword trends as structured JSON

Each row is one keyword's full trends report:

{
  "keyword": "bitcoin",
  "geo": "US",
  "timeframe": "past_12_months",
  "interestOverTime": [
    { "date": "Jul 2025", "timestamp": "1751328000", "value": 62 }
  ],
  "relatedQueries": [ { "query": "bitcoin price", "value": 100 } ],
  "risingQueries": [ { "query": "bitcoin etf", "value": 4900, "formattedValue": "Breakout" } ],
  "interestByRegion": [ { "location": "California", "value": 78 } ],
  "averageInterest": 55,
  "peakInterest": 100
}

Output schema

Field	Type	Description
`keyword`	string	The search term this row reports on.
`geo`	string	Geographic region for the data — a country code (e.g. `US`) or `WORLDWIDE`.
`timeframe`	string	Time range covered by the report (e.g. `past_12_months`).
`interestOverTime`	array	Timeline of normalized interest points (0–100), each with `date`, `timestamp` and `value`.
`relatedQueries`	array	Top related search queries with their relative scores.
`risingQueries`	array	Fastest-rising ("breakout") related queries with their growth values.
`interestByRegion`	array	Interest broken down by `location` and `value`.
`averageInterest`	integer	Average interest value across the timeline.
`peakInterest`	integer	Highest interest value on the timeline (typically 100).

Input

{
  "keywords": ["bitcoin", "electric cars"],
  "geo": "US",
  "timeframe": "past_12_months",
  "includeRelatedQueries": true,
  "includeInterestByRegion": true
}

Field	Description
`keywords`	Search terms to get trends for; each is scraped separately (required).
`geo`	Two-letter country code (e.g. `US`, `GB`, `DE`) or `WORLDWIDE`. Default `US`.
`timeframe`	Time range: `past_hour`…`since_2004`. Default `past_12_months`.
`includeRelatedQueries`	Also fetch top related and fastest-rising queries. Default `true`.
`includeInterestByRegion`	Also fetch interest by region / sub-region. Default `true`.
`proxyConfiguration`	Proxy settings for the run; residential proxy is recommended.

Use cases

Spot rising and breakout topics before they peak.
Compare seasonal demand across keywords and timeframes.
Find related search terms to expand keyword and content strategy.
Map regional interest for geo-targeted campaigns.

Pricing

Pay-per-event: you're billed a small amount per run and per item scraped — you only pay for what you get. See the Pricing tab for current rates.

FAQ

Do I need a Google account or API key? No. Just enter your keywords and run the Actor — no account, login, or API key required.

What formats can I export? Results are available as JSON, CSV, Excel, or via the Apify API, ready for spreadsheets, BI tools, or your own pipeline.

Can I integrate this with other tools? The Google Trends Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

This Actor uses Google Trends' public endpoints and returns only publicly available, normalized trend data. It is an independent tool and is not affiliated with, endorsed by, or sponsored by Google; Google Trends is a trademark of its respective owner.

Input

Field	Type	Description
`keywords` required Keywords	array	Search terms to get trends for. Each is scraped separately.
`geo` Location	string	Two-letter country code (e.g. US, GB, DE) or WORLDWIDE. Default: `"US"`
`timeframe` Timeframe	string · past_hour, past_4_hours, past_day, past_7_days, past_30_days, past_90_days…	Time range for interest over time. Default: `"past_12_months"`
`includeRelatedQueries` Include related & rising queries	boolean	Also fetch the top related queries and the fastest-rising (breakout) queries for each keyword. Default: `true`
`includeInterestByRegion` Include interest by region	boolean	Also fetch interest broken down by region / sub-region. Default: `true`
`proxyConfiguration` Proxy	object	Proxy configuration. Leave the default — it is tuned for reliable results. Default: `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~google-trends-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "keywords": [
    "bitcoin"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/google-trends-scraper").call(run_input={
    "keywords": [
        "bitcoin"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/google-trends-scraper').call({
  "keywords": [
    "bitcoin"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Keyword scraped One keyword with interest-over-time, related and rising queries	$0.001	$0.0005
API request One Google Trends request	$0.001	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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