Google Trends Compare: Unlimited Keywords on One Scale

For SEO and content teams, e-commerce and product researchers, brand and market analysts, investors and data scientists. Google Trends shows at most 5 keywords at once, and every chart is rescaled to its own 0-100. Values from two different charts cannot be compared. This Actor fixes that.

Outcome: you get one clean table where every keyword, of any count, sits on the same 0-100 scale in each country. The history can be daily for any range back to 2004. You don't need a login, a Google account or an API key.

• ♾️ Unlimited keywords, one scale. It ranks your keywords first, then groups them into size-based tiers of up to 5 that share link terms, so small terms stay precise next to giants. In tests the stitched scale was within 0.05-0.25 points (mean absolute error) of Google's own 5-keyword chart.
• 📅 Daily history for any range. Google only returns daily points for ranges under ~8 months. daily-stitched chains overlapping 240-day windows into one continuous daily series for 1, 5 or 20 years. In tests the window overlaps correlated at 0.9996+, and the daily series matched Google's own weekly series at 0.90-0.9995 correlation.
• 🌍 Any country or worldwide, plus Google Trends categories and search properties (web, image, news, Shopping, YouTube).
• 🛡️ Built not to fail. Every request is spaced by at least 1.5 s, with backoff retries and a fresh IP after the 2nd failure. Datacenter proxy is the default, with an automatic residential fallback. A country that still fails is not charged.
• 🔍 Transparent QA record. For every run you get the tiers, link factors, window factors, correlation vs Google's coarse series, an optional verify-sample error, and network stats.
• 💸 Pay per keyword series: $0.004 per keyword × country on the Free plan (cheaper on paid plans).

Quick start (first run in about a minute)

1. Click Try for free (or Start in Console). The form is prefilled with 7 drinks keywords (coffee, tea, beer, kombucha, matcha, energy drink, cold brew), country US and the last 12 months.
2. Click Start. In about a minute you get ~370 rows: 7 keywords × ~53 weekly points on one shared 0-100 scale. That is something Google's UI cannot show in one chart. It costs about $0.03 ($0.005 start + 7 × $0.004).
3. Paste your own keywords (10, 50, 200…), add countries (GB, DE, BR, IN, WORLDWIDE), and switch Resolution to Daily for any range for long daily history.

What you can do with it

• Market and brand share: rank 30 competitors, products or features by search interest in each country on one scale, and track the share over time.
• SEO and content planning: compare dozens of topic or keyword ideas at once, so you are no longer stuck with 5-term charts and copied numbers.
• Seasonality and demand forecasting: daily series over 2-5+ years for model features, such as retail, travel or seasonal products.
• Trend and investment research: crypto, stocks, consumer brands or AI tools, with long daily history and multiple countries.
• Country comparison: run the same keyword set across 10 countries with each country on its own consistent scale.
• Dashboards: schedule weekly runs and send the dataset to Google Sheets with Google Sheets Export.

Input

Field	What it does
keywords	Any number of search terms (required). All of them end up on one scale per country
geos	ISO country codes (US, GB, DE, BR, IN, JP…) or WORLDWIDE. Default US
timeRange	today 1-m, today 3-m, today 12-m (default), today 5-y, all, today N-y/N-m/N-d, or YYYY-MM-DD YYYY-MM-DD
resolution	auto (Google's daily/weekly/monthly, cheapest) or daily-stitched (daily for any range)
scaleMode	accurate (default: pre-rank + size-based tiers) or fast (single anchor). Same price
outputFormat	long (row per keyword × date, default) or wide (row per date with values{keyword: value})
category, property	Google Trends category id (0 = all) and search property (web, images, news, froogle = Shopping, youtube)
verifySample	One extra real 5-keyword Google request; reports the scale error in the QA record (free)
Advanced	proxyMode (auto/datacenter/residential/none), pacingSecs (≥1.5), maxAttempts, fallbackAfterFailures, tierMaxRatio, anchorKeyword

Example: 12 brands, 3 countries, 5 years:

{
  "keywords": ["nike", "adidas", "puma", "new balance", "asics", "under armour", "reebok", "hoka", "on running", "salomon", "vans", "converse"],
  "geos": ["US", "GB", "DE"],
  "timeRange": "today 5-y"
}

That is 36 keyword series, about $0.15.

Example: 2 years of daily history, wide output:

{
  "keywords": ["bitcoin", "ethereum", "solana", "dogecoin", "cardano", "chainlink", "polkadot"],
  "geos": ["WORLDWIDE"],
  "timeRange": "today 2-y",
  "resolution": "daily-stitched",
  "outputFormat": "wide"
}

That is 731 daily rows. The cost is 7 series + 14 daily-history-years, about $0.075.

Output

long format: one dataset row per keyword × country × date.

{
  "keyword": "coffee",
  "geo": "GB",
  "date": "2024-10-01",
  "value": 14.438,
  "resolution": "daily",
  "isPartial": false,
  "timeRange": "2024-10-01 2026-10-25",
  "scaleId": "GB|2024-10-01 2026-10-25|daily-stitched",
  "tier": 1
}

wide format: one row per country × date.

{
  "geo": "JP",
  "date": "2025-10-26",
  "resolution": "weekly",
  "isPartial": false,
  "timeRange": "today 12-m",
  "scaleId": "JP|today 12-m|auto",
  "values": { "sushi": 78, "ramen": 76, "curry": 33, "udon": 18, "yakitori": 9, "tempura": 9.507 }
}

• value is on one shared 0-100 scale per scaleId (country × range × resolution): 100 is the single highest point of any keyword in that country. Small terms keep decimals instead of rounding to 0 or 1.
• isPartial: true marks Google's still-incomplete latest period.
• tier is the size tier the keyword was measured in (1 = biggest).
• Storage → Key-value store → QA holds a per-keyword summary (mean, max, share of total), the tiers and link factors, the stitch windows and their correlation, the verify-sample error, the billing counts and network stats.

Pricing

Pay per event, with volume discounts on higher Apify plans:

Event	What it is	Free plan	Bronze	Silver	Gold+
apify-actor-start	Once per run (per GB of memory; default 256 MB = one start)	$0.005	$0.005	$0.005	$0.005
keyword-series	One keyword × one country delivered on the shared scale (any range, Google's resolution)	$0.004	$0.0036	$0.0032	$0.0028
daily-history-year	Only with daily-stitched and ranges over 240 days: per keyword × country × year of stitched daily data	$0.003	$0.0027	$0.0024	$0.0021

• Free: countries that fail after all retries, verify-sample requests, the QA record, and wide vs long (same price).
• Examples (Free plan):
  • 7 keywords × US × 12 months ≈ $0.033
  • 50 keywords × 1 country × 5 years weekly ≈ $0.21
  • 50 keywords × 5 years daily ≈ $0.96
  • 200 keywords × 10 countries × 12 months ≈ $8.01
• Set Max cost per run in Console to cap spend. Before it starts, the Actor trims countries (then keywords) to fit your limit, so it never overspends.

How it works and limitations

• Scale. Google normalises every request to its own 0-100. The Actor first ranks all keywords against one anchor. It then measures them in size-ordered tiers of up to 5, where neighbouring tiers share a link keyword, and only admits terms within tierMaxRatio (10×) of the tier's top term. Tiers are chained by the link term's ratio, and the result is rescaled so the global maximum is 100.
• Daily stitching. The Actor requests 240-day daily windows that overlap by 60 days, from newest to oldest. Each window is scaled to the next one using the overlap across all keywords. When the overlap has no signal, it falls back to Google's weekly/monthly series.
• Google's data is sampled. Google Trends values come from a sample of searches. Repeated requests can differ by a point or two, and very small terms (mean below ~1 on the shared scale) are noisy. Use category to disambiguate words like "apple".
• Very long keyword chains (50+ keywords spanning several orders of magnitude) add small errors at each link. verifySample measures it, and the QA record flags weak links.
• Speed. Each Google request is spaced by ≥1.5 s to stay unblocked. A ranking pass plus tier requests: 50 keywords ≈ 25-30 requests ≈ 1-2 min per country and range. Daily stitching multiplies that by the number of windows (5 years ≈ 10 windows).
• Public data only. No login and no Google account. The Actor does not provide related queries or regional breakdowns (interest over time only).

FAQ

I got 0 results / the run failed. Check the country code (ISO 2-letter, or WORLDWIDE) and the time range format (today 12-m, or 2024-01-01 2026-01-01). Keywords with almost no searches return all-zero series, not missing rows. The run's status message and the QA record (geos.<country>.error) say what happened. Countries that fail are not charged.

I see 429 / "rate limited" in the log. That is Google throttling a request. The Actor waits (2/4/8/16 s backoff), retries on a new IP, and switches to residential proxy automatically if the datacenter keeps failing. In tests every 429 recovered. If you set proxyMode: datacenter and it still fails, try auto or residential, or raise pacingSecs.

Why do my numbers differ from the Google Trends website? On the website each chart has its own 0-100. Here all keywords share one scale, so a keyword at 100 on its own Google chart can be 3.2 here next to a bigger term. Ratios between keywords match Google's to within a fraction of a point. Turn on verifySample to see the measured error vs a real Google chart.

Can I compare countries with each other? Each country gets its own scale (Google normalises by country). Compare keyword shares within a country, and trends across countries.

How do I track this weekly? Create a schedule with the same input and send the dataset to Google Sheets with Google Sheets Export.

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