Google Trends Scraper Pro - Unlimited Keywords on One Scale

Google Trends Pro: Unlimited Keywords on One Scale

Reliable Google Trends data for as many keywords as you need, all on one comparable 0-100 scale. Google Trends only lets you compare 5 terms at a time and rescales every comparison. This Actor chains batches through a shared anchor keyword, so 7, 20 or 100 keywords end up directly comparable. Built-in session rotation, exponential backoff and residential fallback handle Google's rate limits, so runs finish instead of failing.

What you get

• Interest over time per keyword: full timeline plus average, latest, peak, peak date and trend change %.
• More than 5 keywords on one scale (anchor-keyword normalization).
• Interest by region (country, region, city or metro).
• Related queries (top and rising). Related topics are in beta: Google often withholds them from automated requests, and empty results are free.
• Monitor mode: schedule it and see how each keyword moved since the last run, plus newly rising queries.
• Any country or worldwide, any time range, web, image, news, YouTube or Shopping search.

Who it's for

SEO and content teams choosing topics, e-commerce and dropshipping product research, market and brand analysts tracking competitors, and AI agents that need trend data without an unreliable scraper.

Example input

{
  "keywords": ["shopify", "woocommerce", "wix", "squarespace", "bigcommerce", "magento", "etsy"],
  "geo": "",
  "timeframe": "today 12-m",
  "includeInterestByRegion": true,
  "includeRelatedQueries": true
}

Output

Field	Example	Notes
type	interestOverTime	Also interestByRegion, relatedQueries, relatedTopics
keyword	etsy
geo / timeframe	US / today 12-m
averageInterest	66.71	On the shared 0-100 scale
latestInterest / peakInterest / peakDate	55 / 100 / 2025-12-01
trendChangePct	13.2	Last quarter of the period vs. first quarter
timeline	[{"date": "2026-07-19", "value": 42}]
scale	anchored to "shopify"	How values were normalized
regions	[{"geoCode": "GB", "geoName": "United Kingdom", "value": 75}]	Region rows
top / rising	[{"query": "etsy shop", "value": 100}]	Related rows
changeSincePreviousRun / newRisingSincePreviousRun	-11 / ["smeg air fryer price"]	Monitor mode

How to use it

1. Add your keywords (any number) and pick a country, time range and search type.
2. Turn on the add-ons you need: interest by region, related queries, related topics (beta).
3. Run it, or schedule it daily or weekly to use monitor mode.
4. Download the dataset as JSON, CSV or Excel, or call it from the Apify API, Make, n8n or Zapier.

Pricing

Pay per event, no start fee. Failed keywords and empty add-on blocks are free.

Event	Price
Keyword report (interest over time, one keyword)	$0.004
Add-on result (one non-empty region, related queries or related topics block per keyword)	$0.002

Example: 20 keywords with interest by region and related queries cost 20 x $0.004 + 40 x $0.002 = $0.16.

FAQ

How can more than 5 keywords be comparable? Every batch contains the same anchor keyword. Each batch is rescaled so its anchor matches the first batch, then everything is renormalized to a maximum of 100. Small keywords compared with a very large anchor lose precision (Google rounds to whole numbers), so pick an anchor of similar size if you can.

Why do region values differ from the Trends website? Region breakdowns are relative to the keywords compared in the same request, as on the website.

Is there an official API? Google's Trends API is still an invite-only alpha. This Actor works as a Google Trends API alternative today: start it from the Apify API and get JSON back.

Can I export Google Trends data to CSV or Excel? Yes. Every run's dataset downloads as CSV, Excel or JSON, with one row per keyword and block.

Limits

• Related topics (beta) are often empty because Google withholds them from automated sessions; you are not charged for empty blocks.
• Rising queries are sampled by Google and can change between identical requests.
• Very low-volume keywords return zeros.