Google Trends Scraper — Unlimited Keywords

What does Google Trends Scraper — Unlimited Keywords do?

It gets Google Trends data for any number of keywords — and puts all of them on one common 0–100 scale. Google Trends only compares 5 keywords at a time, and every comparison is scaled differently, so numbers from two comparisons can't be compared. This Actor does the stitching for you: 10, 50 or 500 keywords come back directly comparable, as if Google had compared them all at once.

For each keyword you get the full interest-over-time timeline, a summary (average, peak, latest value, trend), and optionally interest by region and related queries. It can also fetch what's trending right now in any country.

Run it in Apify Console, call it via API, schedule it, or plug it into Make, Zapier, n8n, Google Sheets or AI agents (MCP) — Apify handles proxies, retries and storage.

Why use it?

• Compare more than 5 keywords — correctly. Rank 200 product names, brands, cities or topics by real search interest in one run.
• Accurate for small keywords too. Google rounds everything to whole numbers, so small keywords next to a big one show up as "<1" or 0. This Actor re-measures them next to smaller "bridge" keywords, so a keyword 1,000× smaller than your biggest one still gets a real number.
• Reliable. Google rate-limits Trends aggressively. The Actor rotates sessions and proxies and retries with backoff instead of failing your run.
• Ready-to-use output. A summary table for quick decisions, plus a one-row-per-date timeline view for charts and spreadsheets.

Typical uses: keyword and content research, SEO, product and market research, brand tracking, seasonality analysis, picking names or locations, and feeding trend data to dashboards or AI agents.

How to use it

1. Click Try for free.
2. Enter your search terms — one per line, as many as you want.
3. Optionally pick a location, time range, category or search type (web, images, news, YouTube, Shopping).
4. Optionally tick Interest by region or Related queries, or add countries under Trending now.
5. Click Start and download the results as JSON, CSV, Excel or HTML, or get them via API.

Input

Everything is in the Input tab. Example:

{
    "searchTerms": ["chatgpt", "gemini", "claude", "perplexity", "deepseek", "copilot", "grok", "mistral ai"],
    "geo": "US",
    "timeRange": "today 12-m",
    "includeRelatedQueries": true,
    "trendingNowCountries": ["US", "GB"]
}

Field	What it does
searchTerms	Keywords to compare. Any number — more than 5 are put on one common scale automatically.
geo	Country (US, DE, LT…) or sub-region (US-CA). Empty = worldwide.
timeRange	Past hour, 4 hours, day, 7 days, 30 days, 90 days, 12 months, 5 years, or 2004–present.
customTimeRange	Exact dates: "2024-01-01 2024-12-31".
category	Google Trends category ID to disambiguate terms (0 = all).
searchProperty	Web search (default), image, news, YouTube or Google Shopping search.
includeRegions / regionResolution	Interest by country, region, city or US metro area.
includeRelatedQueries	Top and rising related searches.
trendingNowCountries	Also get today's trending searches (with news links) for these countries.

Output

One item per keyword. Example (shortened):

{
    "type": "keyword",
    "keyword": "claude",
    "geo": "US",
    "timeRange": "today 12-m",
    "scale": "0-100, shared by all 8 keywords (100 = highest point of any keyword)",
    "average": 6.01,
    "max": 10.74,
    "peakDate": "2026-04-12",
    "latest": 9.8,
    "latestDate": "2026-09-13",
    "changePercent": 336.4,
    "trend": "rising",
    "precision": "high",
    "timeline": [
        { "date": "2025-09-21", "period": "Sep 21 – 27, 2025", "value": 2.31, "isPartial": false },
        { "date": "2025-09-28", "period": "Sep 28 – Oct 4, 2025", "value": 2.44, "isPartial": false }
    ],
    "relatedQueries": [
        { "rank": "top", "query": "claude ai", "value": 100, "formattedValue": "100", "link": "https://trends.google.com/trends/explore?q=claude+ai&date=today+12-m&geo=US" }
    ]
}

Trending-now items look like this:

{
    "type": "trending",
    "geo": "US",
    "rank": 1,
    "title": "dow jones industrial average",
    "approxTraffic": "2000+",
    "approxTrafficMin": 2000,
    "startedAt": "2026-09-25T14:20:00-07:00",
    "news": [{ "title": "Stocks rally as…", "url": "https://…", "source": "Reuters" }]
}

The Output tab has ready-made views: Keywords overview, Interest over time (one row per keyword per date — ideal for charts and spreadsheets), Interest by region, Related queries and Trending now. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Meaning
average, max, latest	Interest on the common 0–100 scale (100 = the highest single point of any keyword in the run).
peakDate, latestDate	When the peak happened; the last complete period.
changePercent, trend	Last quarter of the period vs. the first quarter: rising (> +20 %), falling (< −20 %) or stable.
precision	How finely Google's data could measure this keyword: high (typically within ~1 %), medium (~5 %), low (~15 %), too small (below what Google reports at this scale), no data.
timeline	Every period: date, Google's period label, value, isPartial (the current, unfinished period).
regions	geoName, geoCode, value (0–100 within that keyword).
relatedQueries	rank (top / rising), query, value, formattedValue (e.g. "Breakout", "+250%"), link.

How much does it cost?

This Actor uses pay-per-event pricing — you pay only for results, not for compute time:

Event	Price
Keyword (full timeline + summary)	$2.00 per 1,000 keywords
Extra data per keyword (regions or related queries, each)	$1.00 per 1,000
Trending-now search	$1.00 per 1,000

Comparing 100 keywords costs $0.20. The Apify free plan includes monthly credits, enough for thousands of keywords per month for free. Set a maximum charge per run in the run options and the Actor will stop at that limit.

Tips

• Big lists are efficient: on average about 1 Google request per keyword, however many keywords you compare.
• Use a category for ambiguous words (e.g. "jaguar" in Autos & Vehicles, category 47).
• For long histories, Past 5 years gives weekly data and 2004–present monthly data.
• If you see rate-limit retries in the log, lower Parallel requests — the run will be slower but smoother.

How it works — and how accurate it is

1. A quick knockout round finds your most-searched keyword (the anchor).
2. Every other keyword is fetched next to the anchor, and each comparison is rescaled so the anchor matches — this puts all keywords on one scale.
3. Keywords that are tiny next to the anchor are re-measured next to smaller bridge keywords, cascading down, so they get real values instead of "<1".

(Step-by-step explanation of the method, including how to do it by hand: How to compare more than 5 keywords in Google Trends.)

In our tests the combined scale matched Google's own side-by-side comparison within about 1–3 % — the same size as Google's own rounding. Values can differ slightly from what you see on the Google Trends website, because Google samples searches and rounds to whole numbers.

FAQ, disclaimers and support

Is it legal to scrape Google Trends? The Actor collects publicly available, aggregated and anonymous search-interest statistics — no personal data. You are responsible for how you use the data and for complying with Google's terms and applicable law.

Why does a keyword show precision: too small? Google reports whole numbers relative to the biggest point in each comparison. If a keyword is thousands of times smaller than every other keyword in your run, even the bridge re-measurement can't resolve it. Add a few mid-sized keywords, or run it separately.

Does it return related topics? No — Google currently returns an empty list for related topics through its data interface, so this Actor offers related queries only.

Known limitation: for a keyword with one huge spike (e.g. a one-day news event), its quiet periods can only be measured to about ±10 %, because Google scales every comparison to the highest point.

Found a bug or need a feature? Open an issue in the Issues tab — it's actively maintained. Need a custom data pipeline? Get in touch through the Issues tab.