Google Trends Scraper — Interest, Related & Rising

Pull Google Trends data for any keyword, country and timeframe — as clean JSON/CSV/Excel. For each keyword you get interest over time, the top & rising related queries and topics, regional interest, and you can also grab the trending-now searches for a country with traffic estimates and related news.

Keyless and built for scale, with automatic 429 retry and proxy rotation so runs stay reliable against Google's rate limits.

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What this Actor does

Google Trends is a goldmine for SEO, market research and content planning — but it has no official API and the site is painful to pull at scale. This Actor does it for you.

Give it keywords and it returns, for each one:

• Interest over time — the full 0–100 search-interest series, plus a summary (latest, average, peak value and peak date).
• Top related queries — what else people search alongside your keyword (demand you can target).
• Rising related queries — the fast-growing, breakout searches (where demand is heading).
• Regional interest — which countries/regions search for it most (optional).

And separately:

• Trending now — the current trending searches for a country, with approximate traffic and related news headlines.

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Why use it

• SEO & content ideas on tap. Top and rising queries are exactly the keywords and angles to build content and campaigns around — including breakout terms before they get competitive.
• Market & trend research. Compare interest across time and regions to see what's growing, what's seasonal and where demand lives.
• Keyless and reliable. No API key, no Google account. Built-in 429 handling and proxy rotation keep large runs from getting blocked.
• Any keyword, country and timeframe. Worldwide or a single country/region; the past day to the past 5 years (or all time).
• Clean, structured output. One tidy row per keyword, with the full timeline available as JSON when you want it.
• Trending-now built in. Track what a country is searching for right now, with traffic and news context.

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Who it's for

• SEO & content teams doing keyword research, content planning and demand discovery.
• Marketers & agencies sizing interest, spotting breakout trends and timing campaigns.
• Analysts & researchers measuring attention to brands, products, people or topics over time and geography.
• PR & newsrooms tracking what's trending now and the stories behind it.
• Product & e-commerce teams validating demand and seasonality before launches.

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Quick start

Run it in the console (no code)

1. In Keywords / search terms, add one keyword per line:

   bitcoin
   electric cars
   taylor swift
   

2. Set Country / region (e.g. US, GB, DE, or empty for worldwide) and Time range (e.g. Past 12 months).

3. (Optional) Turn on Include related & rising topics, Include regional interest, or Trending now.

4. Keep Proxy on (default) so Google doesn't rate-limit you, click Start, and export as JSON, CSV, Excel or HTML.

Leave the keywords empty to run a built-in demo and see the output shape.

Run it via API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "keywords": ["bitcoin", "electric cars"],
    "geo": "US",
    "timeRange": "today 12-m",
    "includeRelatedQueries": True,
}

run = client.actor("YOUR_USERNAME/google-trends-scraper").call(run_input=run_input)

for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["keyword"], "peak", row["peakValue"], "→ rising:", row["relatedRisingQueries"])

Run it via API (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('YOUR_USERNAME/google-trends-scraper').call({
    keywords: ['bitcoin', 'electric cars'],
    geo: 'US',
    timeRange: 'today 12-m',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((r) => console.log(r.keyword, r.averageValue, r.relatedTopQueries));

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Input

Field	Type	Description
Keywords / search terms	array	One keyword or phrase per line. Empty = demo.
Country / region (geo code)	string	US, GB, DE, TR, US-CA… Empty = worldwide.
Time range	select	Past day / 7 days / month / 3 months / 12 months / 5 years / all time.
Category ID	integer	Google Trends category to narrow results. 0 = all. (e.g. 7 Finance, 5 Computers, 71 Food, 20 Sports).
Search property	select	Web, News, Image, YouTube or Google Shopping search.
Include related & rising queries	boolean	Top + rising related search queries. Default on.
Include regional interest	boolean	Interest broken down by country/region. Default off.
Include full timeline	boolean	Full interest-over-time series as JSON (not just the summary). Default on.
Trending now	boolean	Current trending searches for the country, with traffic + news. Default off.
Speed (parallel keywords)	integer	Keep low (3–5) — Google rate-limits aggressively. Default 4.
Proxy configuration	object	Apify Proxy. ON by default and strongly recommended.

Time range values

now 1-d (past day), now 7-d (past 7 days), today 1-m, today 3-m, today 12-m, today 5-y, all (2004–now).

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Output

One record per keyword (type: "keyword") — example:

{
  "type": "keyword",
  "keyword": "electric cars",
  "geo": "US",
  "timeRange": "today 12-m",
  "category": "0",
  "searchProperty": "web",
  "latestValue": "33",
  "averageValue": "54",
  "peakValue": "100",
  "peakDate": "Apr 5 – 11, 2026",
  "relatedTopQueries": "electric car; best electric cars; toyota electric cars; ...",
  "relatedRisingQueries": "byd electric car; new ev tax credit; ...",
  "topRegions": "Wyoming:100; Vermont:61; Kansas:48; ...",
  "dataPoints": "53",
  "timeline": "[{\"t\":\"Oct 20 – 26, 2025\",\"v\":48}, ...]",
  "scrapedAt": "2026-10-08T13:00:00.000Z"
}

One record per trending search (type: "trending") — example:

{
  "type": "trending",
  "keyword": "ohio state basketball",
  "geo": "US",
  "rank": "3",
  "approxTraffic": "1000+",
  "relatedNews": "CareSource Invitational brings college basketball to...; ...",
  "scrapedAt": "2026-10-08T13:00:00.000Z"
}

Field	Description
type	keyword or trending.
keyword	The keyword or trending term.
geo / timeRange / category / searchProperty	The query parameters used.
latestValue / averageValue / peakValue / peakDate	Interest-over-time summary (0–100).
relatedTopQueries / relatedRisingQueries	Top and rising related search queries.
topRegions	Top regions by interest (region:value; …).
dataPoints / timeline	Number of points and the full series as JSON.
rank / approxTraffic / relatedNews	Trending-now rank, traffic estimate and news headlines.
scrapedAt	ISO timestamp.

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Tips & notes

• Keep proxy on and concurrency low. Google Trends rate-limits by IP. The Actor retries 429s and rotates IPs, but 3–5 parallel keywords is the sweet spot for large lists.
• Interest is relative, not absolute. Google Trends values are 0–100 relative to the series — 100 is the peak within your keyword/time/geo, not a raw search count. That's how Google Trends itself works.
• Rising = breakout demand. Rising queries are the fastest-growing related searches — the best early signal for SEO and content.
• Compare over time and geography. Change the time range and geo to spot seasonality and regional differences.
• Use categories to disambiguate. "Mercury" the planet vs the car vs the element — a category ID narrows it down.

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Frequently asked questions

Do I need a Google account or API key? No. The Actor uses Google Trends' public endpoints — no key, no login.

Why are the interest values 0–100 and not search counts? That's how Google Trends reports data: interest is normalized to a 0–100 scale relative to the peak in your selected keyword, timeframe and region. Absolute search volumes are not published by Google.

Why should I keep the proxy on? Google Trends rate-limits aggressively by IP — its datacenter ranges get throttled hard. The Actor uses rotating residential proxy by default, each keyword on its own sticky IP + cookie, which is what keeps runs reliable at scale.

Why are some "rising" queries unrelated to my keyword? Rising queries come straight from Google Trends. For high-interest terms (brands, products, people) they're spot-on breakout searches. For very broad or stable terms where Google has little breakout signal, Google itself surfaces general breakout searches — that's Google's data, not a parsing issue. Lean on the top queries and each term's value to judge relevance.

Can I compare multiple keywords? Yes — add as many keywords as you like; each is measured on the same scale for your chosen geo and timeframe.

What time ranges and regions are supported? From the past day to the past 5 years (or all time back to 2004), worldwide or for any country/region geo code.

Can I track what's trending right now? Yes — turn on Trending now to pull the current trending searches for a country, with approximate traffic and related news headlines.

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Export & integrate

Results are available as JSON, CSV, Excel, HTML and via the Apify API. Push them to Google Sheets, a webhook, Make, Zapier, or your database — and schedule runs to track interest and trends over time.