Google Trends Batch Scraper - Rising Queries & YouTube Trends avatar

Google Trends Batch Scraper - Rising Queries & YouTube Trends

Pricing

Pay per usage

Go to Apify Store
Google Trends Batch Scraper - Rising Queries & YouTube Trends

Google Trends Batch Scraper - Rising Queries & YouTube Trends

Analyze up to 1,000 keywords in one run with no start fee. Interest over time, 5-term comparisons, rising related queries & topics, interest by region, YouTube/News/Shopping search trends and real-time trending searches.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Criato Labs

Criato Labs

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

Security

Limited permissions

Share

Google Trends Batch Scraper: keywords, comparisons, rising queries and YouTube trends

Analyze up to 1,000 keywords in a single run, with no Actor fee: you only pay Apify platform usage (about $0.16 per 1,000 keywords in our tests, residential proxy included). No Google API key and no proxies for you to manage.

Each keyword returns:

  • 📈 Interest over time, with a ready-made summary: average, peak, latest value, % change and direction (rising, falling or stable)
  • 🚀 Rising and top related queries and topics, including the "Breakout" searches SEO teams look for
  • ⚖️ Comparisons of up to 5 terms on a shared 0–100 scale, just like the Google Trends website
  • ▶️ YouTube, News, Image and Shopping search trends, not just web search
  • 🗺️ Interest by country, state, city or US metro
  • 🔥 Real-time trending searches (top 10 per country), with approximate traffic and related news

Why this Actor

This Actor
Keywords per runUp to 1,000
Actor feeNone, you pay platform usage only
Typical cost~$0.16 per 1,000 keywords (tested)
Comparisons (up to 5 terms)✅
Rising / breakout queries✅
YouTube / News / Shopping trends✅
Success rate500/500 keywords in our test run

What it costs in practice. In our test, 500 keywords with related queries ran in 11 minutes for $0.079 of platform usage (compute + residential proxy). Your exact cost depends on your Apify plan.

Use cases

  • SEO and content. Find rising queries before they peak and check seasonality before you publish.
  • YouTube creators and agencies. Set Search type to YouTube Search to see what people actually search for on YouTube.
  • Market research and e-commerce. Compare brands or products with Shopping search trends and see where demand is concentrated by region.
  • AI agents and automations. Every item has flat summary fields (average, changePct, direction, risingQueries), so an agent can answer "is X trending?" without parsing a time series.

Input

{
"keywords": ["air fryer", "standing desk", "protein coffee"],
"comparisons": ["chatgpt, claude ai, gemini"],
"trendingCountries": ["US", "GB"],
"geo": "US",
"timeframe": "today 12-m",
"searchProperty": "web",
"includeRelated": true,
"includeRegions": false
}
FieldWhat it does
keywordsAnalyzes each term on its own 0–100 scale
comparisonsEach line holds up to 5 comma-separated terms, compared on one scale
trendingCountriesReturns what's trending right now in each country (US, BR, IN…)
geoCountry (US) or subregion (US-CA). Leave empty for worldwide
timeframe / customTimeRangeFrom the past hour to 2004–present, or a custom range like 2025-01-01 2025-06-30
searchPropertyweb, youtube, news, images or shopping
categoryGoogle Trends category ID (0 = all)
includeRelatedAdds top and rising related queries and topics
includeRegionsAdds interest by region (free)

Output

One item per keyword, comparison or trending search. A keyword item looks like this:

{
"type": "keyword",
"keyword": "air fryer",
"geo": "US",
"timeframe": "today 12-m",
"property": "web",
"status": "ok",
"average": 61.4,
"peak": 100,
"peakDate": "2025-11-23T00:00:00Z",
"latest": 58,
"changePct": 12.5,
"direction": "rising",
"risingQueries": ["air fryer recipes chicken", "ninja crispi"],
"topQueries": ["best air fryer", "air fryer recipes"],
"timeline": [{ "date": "2024-11-03T00:00:00Z", "values": { "air fryer": 54 }, "isPartial": false }],
"related": { "air fryer": { "queries": { "top": [], "rising": [] }, "topics": { "top": [], "rising": [] } } },
"trendsUrl": "https://trends.google.com/trends/explore?q=air+fryer&date=today+12-m&geo=US"
}

status is one of three values:

  • ok: data was returned.
  • no_data: Google has too little search volume for the term.
  • failed: the request failed after all retries.

Pricing

This Actor has no fee of its own: you pay only Apify platform usage, meaning compute and residential proxy, which is billed to your Apify account. In our test, 500 keywords with related queries cost $0.079. Use the run options to set a timeout or memory limit if you want to cap a run.

Tips

  • Google Trends values are relative: 100 means peak popularity for that term in that period. Use comparisons when you need terms on the same scale.
  • For hourly timeframes (now 1-H, now 4-H), data points are minutes.
  • Large batches run in parallel with automatic IP rotation. The run summary (RUN_SUMMARY in the key-value store) shows how many blocks were handled.

FAQ

Is scraping Google Trends legal? This Actor only reads publicly available, aggregated and anonymized search-interest data. It collects no personal data. Check your local regulations and Google's terms for your use case.

Why do some keywords return no_data? Google only shows terms with enough search volume. Try a broader location or a longer time range.

Can I use it from an AI agent? Yes, through the Apify MCP server. Each item has flat summary fields that an agent can read directly.