Google Trends Scraper — No Start Fee, No Empty Charges

What does Google Trends Scraper do?

Google Trends Scraper gets Google Trends data for any keyword: interest over time, interest by country, state or city, related queries (top and rising / breakout) and related topics. You also get a plain-language trend summary (rising, falling or stable, with peak date and % change). It also pulls Trending Now searches for any country or US state, over the past 4 hours to 7 days, filtered by category, with search volume, growth and news links.

Built for reliability:

• ⚡ No hanging runs. Blocked requests are retried on fresh connections, then switched to a backup data source, so you get data instead of a 20-minute run with nothing in it.
• 💸 You never pay for empty results. Keywords that fail, or that Google has no data for, are not charged.
• 🧾 No start fee. Many keywords in one run, and you pay only per keyword: 10 keywords cost $0.03. See the cost comparison.
• 🛑 Respects your spending limit. The run stops the moment your maximum cost is reached.

Easy to use:

• 🔗 Paste Google Trends links straight from your browser. Location, dates, category and search type come with them.
• 📄 Read keywords from a Google Sheet, so you don't have to copy long lists.
• 📊 Excel-ready output: choose one row per data point for spreadsheets, or one row per keyword for JSON and the API.

Who is it for?

• SEO and content teams: find rising and breakout queries before your competitors, and plan content around seasonal peaks.
• Marketers and agencies: compare brands, products or campaigns, and see where in the country interest is highest.
• E-commerce: spot seasonal demand and plan stock and promotions.
• Newsrooms and social media teams: catch what's trending right now, by category, with the news stories behind it.
• Researchers and analysts: pull clean, structured trend data for many keywords at once.
• AI agents and automations: works through the Apify API, MCP, Make, n8n and Zapier.

How to use it

1. Add your keywords in any of three ways:
   • type them into Keywords, one per line;
   • paste Google Trends links (from trends.google.com/trends/explore);
   • link a Google Sheet with one keyword per row in the first column, shared as "Anyone with the link can view".
2. Optionally pick a location (e.g. US, GB, US-CA; empty = worldwide), a time range and a search type (web, YouTube, News, Images, Shopping). Links keep their own settings.
3. Pick an output format: one row per keyword, or one row per data point for Excel and Google Sheets.
4. Click Start. Download results as JSON, CSV, Excel or HTML, or connect them to your tools.

Want to compare keywords head-to-head, like typing them side by side in Google Trends? Turn on Compare keywords. Up to 5 keywords are compared at once.

For trending searches, switch What do you want to get? to Trending Now, then set a country, a time window and, if you like, categories.

Input examples

One keyword, worldwide, past 12 months

{ "keywords": ["electric bikes"] }

Compare three brands in the US, as an Excel-ready table

{
  "keywords": ["chatgpt", "gemini", "claude ai"],
  "geo": "US",
  "compareKeywords": true,
  "outputFormat": "flat"
}

Exact dates in one country

{
  "keywords": ["black friday", "cyber monday"],
  "geo": "GB",
  "customTimeRange": "2025-10-01 2025-12-31"
}

YouTube searches over 5 years

{
  "keywords": ["minecraft", "fortnite"],
  "timeRange": "today 5-y",
  "property": "youtube"
}

Paste Google Trends links, and read more keywords from a Google Sheet

{
  "trendsUrls": ["https://trends.google.com/trends/explore?date=today%203-m&geo=GB&q=coffee,tea&cat=71"],
  "keywordsSheet": "https://docs.google.com/spreadsheets/d/YOUR_SHEET_ID/edit"
}

Trending Now: sports and technology trends in the UK over the past 7 days

{
  "mode": "trendingNow",
  "geo": "GB",
  "trendingTimeWindow": "168",
  "trendingCategories": ["17", "18"],
  "maxTrendingItems": 100
}

What data do you get?

Data	Description
Trend summary	Average and peak interest, peak date, latest value, % change (last quarter of the period vs the first) and direction (rising / falling / stable)
Interest over time	Timeline of search interest on Google's 0–100 scale
Interest by region	Countries, states, metro areas or cities ranked by interest
Related queries	Top and rising searches, including Breakout queries (+5000%)
Related topics (add-on)	Top and rising topics, with topic type
Trending Now	Trending search, search volume, growth %, start and end time, active or ended, categories, related searches, and news articles for the current top trends

Time ranges

Time range	Input value	One data point every
Past hour	now 1-H	minute
Past 4 hours	now 4-H	minute
Past day	now 1-d	8 minutes
Past 7 days	now 7-d	hour
Past 30 days	today 1-m	day
Past 90 days	today 3-m	day
Past 12 months (default)	today 12-m	week
Past 5 years	today 5-y	week
2004 – present	all	month
Custom dates	customTimeRange: 2025-01-01 2025-06-30	depends on the length

Output formats

One row per keyword (default): everything about a keyword in one item. Best for JSON, the API and AI agents.

One row per data point: a flat table that opens neatly in Excel or Google Sheets. Each row has a type:

type	One row for each	Main columns
summary	keyword	averageInterest, peakInterest, peakDate, latestInterest, changePercent, trendDirection, googleTrendsUrl
interestOverTime	date	date, formattedTime, value, isPartial
interestByRegion	region	regionCode, regionName, value
relatedQuery	related search	list (top / rising), rank, query, value, formattedValue
relatedTopic	related topic	list, rank, topic, topicType, value, formattedValue

Every row also has keyword, comparedWith, geo, timeRange, property and category, so you can filter and pivot. You're still charged per keyword, not per row.

Sample output

A real result for claude ai in the US over the past 12 months, in the default format (lists shortened):

{
  "keyword": "claude ai",
  "comparedWith": [],
  "geo": "US",
  "timeRange": "today 12-m",
  "property": "web",
  "category": 0,
  "summary": {
    "averageInterest": 48,
    "peakInterest": 100,
    "peakDate": "2026-03-01T00:00:00.000Z",
    "latestInterest": 43,
    "changePercent": 186,
    "trendDirection": "rising",
    "dataPoints": 52
  },
  "interestOverTime": [
    {
      "date": "2026-09-27T00:00:00.000Z",
      "formattedTime": "Sep 27 – Oct 3, 2026",
      "value": 43,
      "isPartial": false
    }
  ],
  "interestByRegion": [
    {
      "geoCode": "US-DC",
      "geoName": "District of Columbia",
      "value": 100
    },
    {
      "geoCode": "US-WY",
      "geoName": "Wyoming",
      "value": 95
    }
  ],
  "relatedQueries": {
    "top": [
      {
        "query": "best ai",
        "value": 100,
        "formattedValue": "100"
      }
    ],
    "rising": [
      {
        "query": "claude cowork",
        "value": 91450,
        "formattedValue": "Breakout"
      },
      {
        "query": "claude mythos",
        "value": 41150,
        "formattedValue": "Breakout"
      }
    ]
  },
  "source": "google",
  "googleTrendsUrl": "https://trends.google.com/trends/explore?q=claude+ai&date=today+12-m&geo=US"
}

A real Trending Now result (UK, past 7 days, related searches shortened):

{
  "rank": 1,
  "title": "asos hacked",
  "searchVolume": 200000,
  "approxTrafficText": "200K+",
  "growthPercent": 1000,
  "startedAt": "2026-10-06T08:50:00.000Z",
  "endedAt": null,
  "isActive": true,
  "categories": ["Technology"],
  "relatedSearches": ["asos", "has asos been hacked", "asos share price"],
  "news": [],
  "geo": "GB",
  "timeWindowHours": 168
}

Field reference

Field	Meaning
keyword	The search term this result is for
comparedWith	Other keywords in the same comparison (empty if analysed alone)
geo, timeRange, property, category	The settings used for this keyword
summary.changePercent	Average of the last quarter of the period vs the first quarter, in %
summary.trendDirection	rising (over +10%), falling (below −10%) or stable
interestOverTime[].isPartial	true for the latest point when Google hasn't finished counting it
relatedQueries.rising[].formattedValue	Growth such as +250%, or Breakout for growth above 5000%
source	google, backup (our backup data source was used) or google+backup (topics came from the backup)
googleTrendsUrl	Opens the same view on trends.google.com
searchVolume (Trending Now)	Google's approximate number of searches, e.g. 200000 for "200K+"
growthPercent (Trending Now)	How much searches grew, e.g. 1000 = +1000%
isActive (Trending Now)	false once the trend has peaked and ended (endedAt is then set)

Keywords that failed or had no data are listed, uncharged, in the run's NOT_RETURNED record, together with any links that couldn't be used.

Trending Now categories

Use these IDs in trendingCategories, or tick them in the input form:

ID	Category	ID	Category
1	Autos and Vehicles	11	Other
2	Beauty and Fashion	13	Pets and Animals
3	Business and Finance	14	Politics
4	Entertainment	15	Science
5	Food and Drink	16	Shopping
6	Games	17	Sports
7	Health	18	Technology
8	Hobbies and Leisure	19	Travel and Transportation
9	Jobs and Education	20	Climate
10	Law and Government

Use it via API, MCP and automations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("digitalstorks/google-trends-scraper").call(run_input={
    "keywords": ["chatgpt", "gemini"],
    "geo": "US",
    "compareKeywords": True,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["keyword"], item["summary"]["trendDirection"], item["summary"]["changePercent"])

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('digitalstorks/google-trends-scraper').call({
    keywords: ['chatgpt', 'gemini'],
    geo: 'US',
    compareKeywords: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => console.log(item.keyword, item.summary.trendDirection));

cURL (runs the Actor and returns the results in one call)

curl -X POST "https://api.apify.com/v2/acts/digitalstorks~google-trends-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["chatgpt"], "geo": "US"}'

AI agents (MCP). Add the Actor to Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=digitalstorks/google-trends-scraper"

For Claude Desktop, Cursor or VS Code, add this to your MCP config:

{
  "mcpServers": {
    "apify": { "url": "https://mcp.apify.com?tools=digitalstorks/google-trends-scraper" }
  }
}

Then ask things like "Compare ChatGPT, Gemini and Claude search interest in the US this year" or "What sports searches are trending in the UK this week?"

No-code: connect it to Make, n8n, Zapier or Google Sheets, send results to Slack or a webhook, or schedule it to track keywords every day or week.

How much does it cost?

You pay only for results you receive:

• Keyword report: $3.00 per 1,000 keywords ($0.003 each). Includes the timeline, regions, related queries and trend summary, in either output format. Cheaper on paid Apify plans: $2.70 on Starter, $2.40 on Scale, $2.00 on Business and above.
• Related topics add-on: $15.00 per 1,000 keywords, only when you turn it on and topics are returned.
• Trending Now: $1.00 per 1,000 trending searches.

Failed keywords and keywords with no Google Trends data are free. Platform usage (compute and proxies) is included in the price. There's no real start fee: Apify's minimum is $0.00005 per run.

Apify free plan: keyword reports and Trending Now work in full, with no keyword limit. Data comes from Google only: the backup data source and the related topics add-on need any paid Apify plan (or your own DataForSEO login in the input).

What it really costs per keyword

"Per 1,000 results" means different things on different Actors: per row, per keyword or per run. Some add a fee every time a run starts and take only one keyword per run, so the price on the card is far from what you pay. Compare the cost per keyword:

Keywords	This Actor	Typical "$2 / 1,000 results + $0.02 per run" Actor (1 keyword per run)
1	$0.003	$0.022
10	$0.03	$0.22
100	$0.30	$2.20
1,000	$3.00	$22.00

Each keyword includes the full report: timeline, regions, top and rising queries and the trend summary.

Examples:

• A weekly report on 200 keywords: $0.60 a week, about $31 a year.
• Daily Trending Now for 3 countries, top 20 each: $0.06 a day, about $22 a year.

Tips for best results

• Be specific. "iPhone 17 Pro" gives cleaner related queries than "iPhone".
• Compare in one run. Turn on Compare keywords so values share one scale. Values from separate runs or groups can't be compared directly.
• Match the time range to the question. Use the past 7 days or 30 days for news and launches, and 5 years for seasonality.
• Set a country for regional detail. Worldwide shows countries; a country shows states or regions; a state such as US-CA shows cities.
• Use a category for ambiguous words. "Jaguar" with category 47 (Autos & Vehicles) means the car, not the animal.
• Use the 7-day Trending Now window for weekly briefs. It returns hundreds of trends per country; filter by category to keep only what matters to you.

What it doesn't do

• No absolute search volumes for keywords. Google Trends publishes only relative interest from 0 to 100. Trending Now items do include Google's approximate volume, such as "200K+".
• Comparisons are capped at 5 keywords, which is Google's own limit for one shared scale.
• News articles and pictures are available for the current top trending searches only, because that's what Google publishes for them.

FAQ

Is there an official Google Trends API? Not for the public. Google's Trends API is in a limited alpha for selected testers. This Actor gives you the same data through the Apify API, with no Google account or API key.

How do I use Google Trends for SEO keyword research? Look at rising related queries for your main topics. "Breakout" queries have grown more than 5000% and usually have little competition yet. Use interest over time to see when a topic peaks, and publish 4–6 weeks before the peak so your page has time to rank. Use interest by region to decide which locations to target.

What's the difference between top and rising related queries? Top queries are the most searched alongside your keyword in the period: established demand. Rising queries grew the most compared with the previous period: new demand. Breakout means growth of more than 5000%.

How do I compare two keywords properly? Put them in the same run with Compare keywords on (or paste a Google Trends link that compares them). Google scales every request to its own 0–100, so "80" in one request and "80" in another don't mean the same amount of searches.

Why are values between 0 and 100? Google Trends shows relative interest, not search counts: 100 is the peak for the chosen keywords, place and time.

Which Google Trends links work? Links to the Explore page (trends.google.com/trends/explore?q=...). Each link can compare up to 5 terms. For trending searches, use Trending Now mode instead of a link.

How do I use a Google Sheet? Put one keyword per row in the first column, click Share, set General access to "Anyone with the link" (Viewer), and paste the link into Google Sheet with keywords. A header such as "Keyword" in the first row is skipped. The location and time range you set apply to all of them.

Why do some keywords return no data? Google only shows data for terms with enough search volume. You're not charged for those. Their names are saved in the run's NOT_RETURNED record.

How do I track trends over time? Save your input as a task and schedule it (daily or weekly). Each run is a fresh read of Google Trends; export to Google Sheets or a database to build your own history.

Is it legal to scrape Google Trends? The Actor collects publicly available, aggregated and anonymous trend data. Make sure your use complies with the laws and terms that apply to you.

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