Google Trends Scraper: interest, regions, related queries & trending now

Get Google Trends data for any keyword, country and time range as clean structured data:

• interest over time
• interest by region
• related queries and topics (top and rising)
• today's trending searches

Every keyword also gets a plain-language trend summary: rising, falling or stable, the recent change in %, the average and the peak date. It's ready for spreadsheets, dashboards and AI agents without post-processing.

You need no Google account or API key.

What you get for each keyword

Field	Example
insights.trend	falling (rising, falling or stable)
insights.recentChangePct	-44: latest quarter of the range vs the quarter before
insights.averageInterest, latestInterest, peakInterest, peakDate	66.8 · 37 · 100 · 2026-06-21
interestOverTime	[{ date, label, value, isPartial }], weekly for 12 months
interestByRegion	[{ geoCode: "US-WY", geoName: "Wyoming", value: 100 }, …]
relatedQueries.top / .rising	best crm (100), what is crm (62) · rising queries with % growth
relatedTopics.top / .rising	Topics with their Knowledge Graph type and ID
trendsUrl	Link to the same view on trends.google.com

A real result (US, past 12 months, October 2026), shortened

{
  "keyword": "crm",
  "geo": "US",
  "insights": { "averageInterest": 66.8, "latestInterest": 37, "peakInterest": 100, "peakDate": "2026-06-21", "recentChangePct": -44, "trend": "falling" },
  "interestOverTime": [{ "date": "2026-10-04", "label": "Oct 4 – 10, 2026", "value": 37, "isPartial": false }],
  "interestByRegion": [{ "geoCode": "US-WY", "geoName": "Wyoming", "value": 100 }],
  "relatedQueries": { "top": [{ "query": "best crm", "value": 100 }, { "query": "what is crm", "value": 62 }] },
  "trendsUrl": "https://trends.google.com/trends/explore?q=crm&geo=US&date=today+12-m"
}

Modes

• Keyword trends: one report per keyword. Turn on Compare keywords on one scale to put up to 5 keywords on the same 0–100 scale, as on the Trends website.
• Trending now: today's trending searches for any countries, with approximate search volume and the news articles behind each one. It's useful for newsjacking, content calendars and alerting.

Filters:

• Location: country, region or worldwide.
• Time range: from the past hour to 2004–present, or a custom date range.
• Search type: web, image, news, Google Shopping or YouTube search.
• Category: a category ID to disambiguate terms like "apple" or "crm".

Use cases

• SEO and content planning: pick topics that are rising, and time content to seasonal peaks.
• Product and market research: compare brands, products or categories over 5 years and by region.
• E-commerce: Shopping-search trends for inventory and campaign timing.
• YouTube creators: see what people are searching for on YouTube right now.
• AI agents and automations: call it through Apify's API or MCP server. The insights summary gives agents a direct answer ("is X growing?") without parsing charts.
• Scheduled monitoring: run it weekly with Apify Schedules and send results to Google Sheets, Slack or a webhook.

Pricing

Event	Price
Keyword report (all sections included)	$3.00 per 1,000 keywords ($0.003 each)
Trending search (Trending now mode)	$0.50 per 1,000 trending searches

Apify also charges a small fee each time a run starts. A run analysing 20 keywords costs about $0.06.

FAQ

Why are values 0–100? Google Trends normalises interest to 100 at the peak of the selected range and location. Values compare popularity, not absolute search volume.

Why do rising queries sometimes look unrelated? They are Google's own "rising" list. Short or ambiguous terms (e.g. "crm") pull in unrelated searches. Use a category ID or a more specific keyword.

Why can a run take a little while? Google rate-limits Trends heavily. The Actor paces its requests and retries automatically, so you get complete data instead of errors.

Something missing or broken? Open an issue on the Issues tab. We answer within 24 hours.

---

Built and maintained by Rimu Labs (rimulabs.com).