Google Trends Scraper — Reliable, With Insights, Regions, Related & Trending Now

Get Google Trends data for any keyword in one run: interest over time, interest by country, region, city or US metro, related queries and topics (top, rising and breakout) and today's trending searches — plus ready-made insights: the peak, the latest value, recent momentum, where it's most popular and which searches are breaking out, written up in plain English.

Why this one

• Built for Google's rate limits. When Google pushes back, the Actor switches to a fresh residential IP and cookie, backs off and retries — up to 8 times per request by default. Warm sessions are reused across keywords, so long lists stay fast and cheap.
• Answers, not just numbers. Every report includes insights (peak, latest, % change, direction, top regions, breakout searches) and a summary paragraph — ideal for dashboards, newsletters and AI agents.
• Many countries in one run. List US, DE, GB, US-CA… and get a report for each.
• Spreadsheet mode. Switch output to flat rows for clean CSV / Excel / Google Sheets exports.
• Never pay for broken data. Incomplete reports are delivered free, marked with missingSections.
• Respects your spending limit and stops cleanly when it's reached.

What you get

Data	What it tells you
Interest over time	Search interest (0–100) for every hour, day, week or month in the period
Insights & summary	Average, peak date, latest value, recent change %, rising / falling / stable
Interest by region	Where each term is searched most: countries, regions/states, cities or US DMAs
Related queries	Top and rising searches made alongside each term; "Breakout" = growth above 5000%
Related topics	Top and rising topics, with Google Knowledge Graph IDs
Trending now	Today's trending searches per country, with traffic estimates and news links

Works for web, image, news, Google Shopping and YouTube search, every category, and any period from the past hour to 2004–today.

How to use it

1. Add search terms (plain keywords, or topic IDs such as /m/05p0rrx).
2. Add countries or regions, or leave empty for worldwide.
3. Pick a time range.
4. Turn on Compare terms to put up to 5 terms on one shared 0–100 scale, or leave it off for a separate report per term.
5. Optionally add countries under Trending now.
6. Run. Each report shows its title and summary in the Reports view; open JSON for every data point. A run summary is saved as OUTPUT in the key-value store.

Example input

{
  "searchTerms": ["bitcoin", "ethereum", "solana"],
  "compareTerms": true,
  "geos": ["US", "DE"],
  "timeRange": "today 12-m",
  "trendingNowGeos": ["US", "GB"]
}

Example output (keyword report, shortened)

{
  "type": "keywordReport",
  "title": "bitcoin vs ethereum · US · The past 12 months",
  "summary": "Most searched overall: \"bitcoin\". \"bitcoin\": averaged 61/100 in US over the past 12 months, peaking on 2025-11-09; latest value 58 (up 21% in the most recent quarter of the period: rising). Most popular in Nevada, Wyoming, Colorado. Breakout searches: bitcoin etf options. …",
  "insights": {
    "bitcoin": {
      "averageInterest": 61.4,
      "peak": { "date": "2025-11-09T00:00:00Z", "value": 100 },
      "latest": { "date": "2026-10-04T00:00:00Z", "value": 58 },
      "recentChangePercent": 21.0,
      "direction": "rising",
      "topRegions": [{ "name": "Nevada", "value": 100 }],
      "topQueries": ["bitcoin price", "btc"],
      "risingQueries": [{ "query": "bitcoin etf options", "growth": "Breakout" }],
      "breakoutQueries": ["bitcoin etf options"],
      "topTopics": ["Bitcoin", "Cryptocurrency"]
    }
  },
  "searchTerms": ["bitcoin", "ethereum"],
  "geo": "US",
  "timeRange": "today 12-m",
  "interestOverTime": [
    { "date": "2025-10-12T00:00:00Z", "formattedTime": "Oct 12 – 18, 2025", "values": { "bitcoin": 58, "ethereum": 17 }, "isPartial": false }
  ],
  "averageInterest": { "bitcoin": 61.4, "ethereum": 18.2 },
  "regionResolution": "REGION",
  "interestByRegion": [{ "geoCode": "US-NV", "geoName": "Nevada", "values": { "bitcoin": 100, "ethereum": 31 } }],
  "relatedQueries": {
    "bitcoin": {
      "top": [{ "query": "bitcoin price", "value": 100, "formattedValue": "100", "link": "https://trends.google.com/trends/explore?..." }],
      "rising": [{ "query": "bitcoin etf options", "value": 5000, "formattedValue": "Breakout", "link": "..." }]
    }
  },
  "relatedTopics": { "bitcoin": { "top": [{ "topic": "Bitcoin", "topicType": "Currency", "topicId": "/m/05p0rrx", "value": 100 }], "rising": [] } },
  "trendsUrl": "https://trends.google.com/trends/explore?date=today+12-m&q=bitcoin%2Cethereum&geo=US",
  "scrapedAt": "2026-10-14T13:00:00Z"
}

Spreadsheet rows

With Output format → Spreadsheet rows, each report becomes flat rows with a type column: termSummary (one per term, with the insights), timelinePoint, regionInterest, relatedQuery and relatedTopic. Export as CSV or Excel and filter by type. The price is the same as one report.

Trending now

{
  "type": "trendingSearch",
  "geo": "US",
  "rank": 1,
  "title": "world cup",
  "approxTraffic": "2M+",
  "approxTrafficNumber": 2000000,
  "publishedAt": "2026-10-14T15:00:00Z",
  "news": [{ "title": "Final tonight", "url": "https://...", "source": "BBC" }]
}

Use it from AI agents

Connect it through the Apify MCP server and ask your agent things like "How has interest in heat pumps changed in Germany over the past 5 years, and what are the breakout searches?" The summary and insights fields give the agent the answer directly, without crunching 260 data points.

Use it from code

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("YOUR_USERNAME/google-trends-reliable").call(run_input={
    "searchTerms": ["electric bike"],
    "geos": ["US", "GB"],
    "timeRange": "today 5-y",
})
for report in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(report["title"], "→", report["summary"])

Pricing

You pay per keyword report — one per term, or one per comparison group, per location — and per trending search. Proxy and compute costs are included. Partial reports are free. Set a maximum cost per run and the Actor stops cleanly when it's reached.

Tips

• Values are relative. 100 is the peak for the chosen terms, place and period — not a search count. Turn on Compare terms to put several terms on the same scale.
• "Breakout" means the query grew by more than 5000% in the period.
• Low-volume terms can return empty data; the summary will say so. That's Google not having enough data, not an error.
• Partial periods: the last point is often incomplete (isPartial: true) and is left out of the insights.
• Use residential proxies (the default). Datacenter IPs get rate-limited quickly.

FAQ

How many keywords can I run at once? As many as you like — they're processed in parallel sessions (3 by default, up to 10).

Can I compare more than 5 terms? Google allows 5 per comparison; longer lists are split into groups of 5, each with its own scale.

Which category IDs exist? Open Google Trends, pick a category, and copy the number after cat= in the URL.

Is it legal? The Actor reads publicly available, aggregated, non-personal statistics from Google Trends. Check Google's terms and the rules that apply to your use.

Feedback

Found a problem or want another field? Open an issue on the Issues tab — fixes usually ship within days.