Google Trends Scraper

Pull Google Trends data — how search interest moves over time, which countries search for something most, what people search alongside it, and what is trending right now.

What does Google Trends Scraper do?

Five things, each a mode you pick:

• Interest over time — chart how interest in up to five terms changes, from the past hour to 2004.
• Interest by region — rank countries or states by how much they search a term.
• Related queries and topics — what else people search for around your keyword, split into established and fast-rising. Google restricts this one heavily; see the FAQ.
• Trending now — what is spiking in a country right now, with search volumes and growth.
• Keyword suggestions — the terms and topics Google recognises for a phrase.

Why use Google Trends Scraper?

• SEO and content planning — find rising searches before they peak.
• Market research — see where in the world demand for a product is growing.
• Brand monitoring — track interest in your brand against competitors on one chart.
• Newsroom and social — catch breaking trends within hours of them starting.
• Seasonality planning — pull five years of history to see when demand actually rises.

Running it on Apify adds scheduling, an API, integrations (Sheets, Slack, Zapier, S3), and run monitoring.

How to use Google Trends Scraper

1. Pick What to get — start with Interest over time.
2. Enter your Keywords, up to five.
3. Set a Time range and, if you want, a Country or region.
4. Click Start.

Results appear in the Output tab as they arrive, and download as JSON, CSV, Excel, or XML.

Input

Field	Description
mode	Which of the five views to get.
keywords	Up to five terms. Google compares at most five at once. Not needed for Trending now.
timeframe	From the past hour through to 2004.
geo	US, GB, EG, or a state like US-CA. Empty means worldwide.
search_property	Web, image, news, Shopping, or YouTube search.
category_id	Narrow to one Google Trends category. 0 is all categories.
trending_hours	How recent a trend must be to appear. Trending now only.

Output

Interest over time — one row per date:

{ "date": "2026-08-21T00:00:00", "bitcoin": 72, "ethereum": 10, "is_partial": true }

Trending now — one row per topic:

{
  "geo": "US",
  "topic": "fever vs wings",
  "search_volume": 200000,
  "volume_growth_pct": 1000,
  "started_at": "2026-08-20T23:00:00+00:00",
  "hours_trending": 3.53,
  "is_active": true,
  "categories": ["Sports"],
  "related_keywords": ["indiana fever", "dallas wings", "caitlin clark stats"]
}

Interest by region — one row per place, highest interest first:

{ "region": "Switzerland", "region_code": "CH", "bitcoin": 100 }

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Description
date	The point in time, for interest over time.
keyword columns	Interest for each term you searched — see the note below on what the number means.
is_partial	True when the final period is still in progress and its figure may still move.
region, region_code	Place name and code, for interest by region.
topic, search_volume, volume_growth_pct, started_at, hours_trending, is_active	What is trending, how big, how fast, and whether it is still climbing.
categories, related_keywords	What a trending topic is about and what people search alongside it.
keyword, kind, group, value, score	Related queries and topics: kind is query or topic, group is top or rising.
suggestion, topic_id	Keyword suggestions.

What the interest numbers mean

Google never publishes raw search counts for these charts. The values are relative, scaled 0–100 against the highest point in your own query. So 50 means half the interest of the peak in that same chart — not 50 searches, and not comparable to a number from a different run. Change the keywords, the timeframe, or the region and every number rescales. Trending now is the exception: it reports approximate search volumes.

How much does it cost to scrape Google Trends?

Each run is a small number of requests, so cost is low whichever mode you use. Running many keyword sets on a schedule is the main thing that adds up.

Tips

• Compare in one run. Put rival terms in one keyword list so they share a scale — separate runs cannot be compared to each other.
• Rising beats top. In related queries, the rising group is where new demand shows up; top is mostly what you already know.
• Trending now moves fast. Run it hourly if you are watching for breaking topics.
• Narrow regions go quiet. A small country plus a niche keyword often has too little volume for Google to report anything.

FAQ and support

Why did I get no data? Google only reports terms with enough search volume. A very specific keyword, a small region, or a short timeframe can all fall below its threshold — it returns nothing rather than a low number.

Why did related queries return nothing? Google restricts that particular data far more tightly than the rest, and refuses most automated requests for it — including from rotating addresses. In testing it failed far more often than it succeeded, while the other four modes worked every time. Treat related queries as a bonus rather than something to build on; when it is refused the run says so in the log instead of silently returning an empty result.

Can I compare more than five keywords? Not in one chart — that is Google's limit. Run several searches, keeping one common term in each, and use it as a reference point to line them up.

Is scraping Google Trends legal? The data is published publicly and contains no personal information. You are responsible for how you use it, including Google's terms. Consult a lawyer if you are unsure.

Found a bug or want a field that is missing? Open an issue on the Actor's Issues tab.

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