Google Trends Scraper: Keywords, Regions & Related Queries

Get Google Trends data for hundreds of keywords in one run. For each keyword you get interest over time, interest by region (countries, states or US metro areas) and related queries (top and rising, with "Breakout" flags), for any country, time range, category and search type: web, YouTube, News, Images or Shopping. Put up to 5 keywords on one line to compare them on the same 0–100 scale, just like the Google Trends website.

Turn on Only new rising queries since last run and schedule it, and it works like a trend alert: each run tells you which rising searches are new around your keywords since the last check.

No Google account, API key or proxy setup needed. Every keyword line is fetched through its own residential IP with a cookie warm-up, and blocked requests (HTTP 429, proxy errors, timeouts) are retried automatically on a fresh session. In our tests on Apify, 10 out of 10 runs and 330 out of 330 keyword reports succeeded across 13 countries.

What you can use it for

• SEO and content planning: find rising queries around your topics before they peak, and see which states or countries search for them most.
• Keyword research in bulk: compare hundreds of keywords by average, latest and peak interest, and by how much interest grew over the period (interestChangePct).
• Product and market research: check seasonality (12 months or 5 years of weekly or monthly points), compare brands or products head to head, and size demand by region.
• E-commerce and dropshipping: spot products whose search interest is climbing, on web search or Google Shopping.
• YouTube and news creators: use YouTube or News search interest to pick topics and timing.
• Dashboards and AI agents: one clean row per keyword with summary numbers, ready for Google Sheets, BI tools, n8n or an LLM.

What data you get

One row per keyword report (one keyword × one geo):

Field	Description
keyword, comparedWith	The keyword and the other keywords on the same line (same 0–100 scale)
geo, timeRange, category, searchType	The settings used
averageInterest, latestInterest, peakInterest, peakDate	Summary of the interest-over-time series (0–100)
interestChangePct	Average interest in the last quarter of the period vs the first quarter, in %
interestOverTime	Every point: date (ISO, UTC), formattedTime, value, and isPartial for the current, unfinished period
interestByRegion	geoCode, geoName, value per country, state or metro area, highest first
topRelatedQueries	The most popular related searches (query, value 0–100, link)
risingRelatedQueries	Fastest-growing related searches (value = growth in %, formattedValue like +250% or Breakout, isBreakout)
topRelatedTopics, risingRelatedTopics	Related topics, when Google serves them (see the FAQ)
newRisingQueries, newRisingTopics, isBaseline, previousRunAt	Monitor mode only: rising items not seen in earlier runs
status	ok, no-data (not enough search volume, free) or error (free)
trendsUrl	The same report on the Google Trends website

How to scrape Google Trends

1. Enter your keywords, one per line. To compare, put up to 5 on one line separated by commas: coffee, tea, matcha.
2. Pick one or more countries or regions (US, GB, DE, US-CA, GB-ENG) or worldwide. Each line runs once per geo.
3. Choose the time range (past hour to 2004–present, or custom dates), and optionally a category and search type.
4. Choose which reports you want and click Start.

Input example

{
  "keywords": ["air fryer", "iphone, samsung galaxy, google pixel", "electric bike"],
  "geos": ["US", "GB"],
  "timeRange": "today 12-m",
  "category": "0",
  "searchType": "web",
  "reports": ["interestOverTime", "interestByRegion", "relatedQueries"]
}

Output example

{
  "keyword": "tea",
  "comparedWith": ["coffee"],
  "geo": "US",
  "timeRange": "today 12-m",
  "category": 0,
  "searchType": "web",
  "status": "ok",
  "averageInterest": 36.9,
  "latestInterest": 32,
  "peakInterest": 46,
  "peakDate": "2026-04-12T00:00:00.000Z",
  "interestChangePct": -8.2,
  "interestOverTime": [
    { "date": "2025-10-19T00:00:00.000Z", "formattedTime": "Oct 19 – 25, 2025", "value": 33 },
    { "date": "2025-10-26T00:00:00.000Z", "formattedTime": "Oct 26 – Nov 1, 2025", "value": 32 }
  ],
  "interestByRegion": [
    { "geoCode": "US-SD", "geoName": "South Dakota", "value": 46 },
    { "geoCode": "US-NM", "geoName": "New Mexico", "value": 36 }
  ],
  "topRelatedQueries": [
    { "query": "green tea", "value": 100, "formattedValue": "100", "isBreakout": false, "link": "https://trends.google.com/trends/explore?q=green+tea&date=today+12-m&geo=US" }
  ],
  "risingRelatedQueries": [
    { "query": "loaded tea discount code", "value": 1950, "formattedValue": "+1,950%", "isBreakout": false, "link": "https://trends.google.com/trends/explore?q=loaded+tea+discount+code&date=today+12-m&geo=US" }
  ],
  "topRelatedTopics": [],
  "risingRelatedTopics": [],
  "trendsUrl": "https://trends.google.com/trends/explore?q=coffee%2Ctea&geo=US&date=today%2012-m&hl=en-US",
  "scrapedAt": "2026-10-19T22:31:28.150Z"
}

The Overview tab of the dataset shows the summary numbers in a table, and Related queries & topics shows the related lists.

Rising-query alerts: get only new breakout searches

With Only new rising queries since last run on, the Actor remembers the rising queries (and topics) it has already seen for each keyword, geo and time range, in a named key-value store in your own Apify account (google-trends-monitor by default). Each report then gets newRisingQueries and newRisingTopics with what is new since the last run.

• The first run is a baseline: everything counts as new and isBaseline is true.
• With Monitor output: Changes only (the default), later runs save, and charge for, only the keywords that have something new. Keywords with nothing new are free.
• Use Past 7 days or Past 30 days with a daily or weekly schedule for the freshest alerts. Use a different Monitor name for each separate monitor.

How much does it cost?

This Actor uses pay-per-event pricing, so you only pay for what you get:

• $0.005 per run (Actor start)
• $0.0025 per keyword report ($2.50 per 1,000), whichever reports you pick

A keyword report is one keyword for one geo. A line comparing 5 keywords is 5 reports; ["coffee", "tea"] in US and GB is 4. Keywords with too little search volume and requests that fail after all retries are free, and so are unchanged keywords in monitor mode. Example: 100 keywords in one country cost $0.255. Platform usage, including the residential proxies, is included in the price. You can cap your spend with the maximum cost per run setting in Apify, and the Actor then stops once the next keyword would go over it.

Tips

• Comparisons: values are relative within one line. coffee, tea gives tea 37 on coffee's scale; tea alone gives tea 100 at its own peak. Use comparisons when you need to rank keywords against each other, and add a common "anchor" keyword to every line to compare across lines.
• Geo codes: countries are ISO codes (US, GB, DE, IN, BR), regions use ISO 3166-2 (US-CA, GB-SCT, DE-BY, IN-MH), US metros use DMA codes (US-NY-501).
• Time ranges: past hour and 4 hours give minute points, past day and 7 days give hourly points, 1–3 months give daily points, 12 months gives weekly points, 5 years and 2004–present give monthly points. Custom ranges take two dates, like 2024-01-01 2024-12-31.
• Categories remove ambiguity: apple in Food & Drink (71) vs Computers & Electronics (5). Any other category ID goes in Category ID.
• Topic IDs: enter a Google Trends topic ID like /m/0dl567 as a keyword to measure the topic rather than the exact phrase.
• Speed: about 100 keywords in 2–3 minutes. Raise Parallel requests (up to 20, each with its own IP) for very big lists.

Use with AI agents, MCP, Make, Zapier, n8n and the API

AI agents and the Apify MCP server

Your AI agent can run this Actor as a tool through the Apify MCP server. In Claude, Cursor, VS Code or any other MCP client, add this server URL to load only this Actor:

https://mcp.apify.com?tools=northloop-labs/google-trends-scraper

You sign in to Apify on first connection. Agents that use the default server can also find the Actor with search-actors and run it with call-actor. Pass maxTotalChargeUsd in callOptions to cap what one run may cost. The Actor uses pay-per-event pricing, so it also works with Apify's agentic payments.

Example prompt: "Compare Google search interest in air fryers, slow cookers and instant pots in the US and UK over the past 5 years, and list the rising related queries."

Make, Zapier and n8n

Apify has official integrations for Make, Zapier and n8n. Use "Run Actor", pick northloop-labs/google-trends-scraper, paste your input as JSON, and send the dataset items on to Google Sheets, Slack, Airtable or email. Inside Apify you can also connect Google Sheets or Slack, or add a webhook that fires when a run finishes.

API

Run it and get the results in one call (this endpoint waits up to 5 minutes, which suits up to about 100 keywords per run):

curl -X POST "https://api.apify.com/v2/acts/northloop-labs~google-trends-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["air fryer", "coffee, tea"], "geos": ["US"], "timeRange": "today 12-m"}'

Or with the Python client (pip install apify-client). The JavaScript client works the same way:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("northloop-labs/google-trends-scraper").call(run_input={"keywords": ["air fryer", "coffee, tea"], "geos": ["US"], "timeRange": "today 12-m"})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["keyword"], item["averageInterest"], item["interestChangePct"])

Data & privacy

• The Actor collects only aggregated, anonymous search-interest data that Google Trends shows publicly: index values from 0 to 100, region names and related search phrases. It contains no personal data about searchers.
• Results are written only to your own Apify account: the run's default dataset, plus, in monitor mode, the list of rising items already seen in a named key-value store. The Actor sends the data nowhere else and keeps no copy. A small RUN_SUMMARY record holds only counts, errors and request statistics.

Is it legal to scrape Google Trends?

The Actor reads public Google Trends pages without logging in and does not bypass any login or paywall, and the data is aggregated and anonymous. Google's Terms of Service restrict automated access, so check that your use fits your own legal and compliance requirements. If you publish charts or numbers, cite Google Trends as the source. This isn't legal advice.

FAQ

How many keywords can I scrape in one run?

Up to 2,000 keyword lines, each with up to 5 keywords, times any number of geos. A run of 100 keywords in one country takes about 2–3 minutes with the default 8 parallel requests.

How do I compare keywords?

Put them on one line, separated by commas: iphone, samsung galaxy, google pixel. Google Trends allows up to 5 per comparison. Each keyword still gets its own row, with values on the shared scale and the others listed in comparedWith.

Why are the values between 0 and 100 and not search volumes?

Google Trends doesn't publish absolute search volumes. 100 is the peak popularity in the chosen period, region and comparison, and 50 means half as popular. Values are relative, so compare keywords on the same line or with a common anchor keyword.

Why are related topics or city-level regions empty?

Google currently serves related topics and city-level region data only to signed-in users of the Trends website, and returns empty lists to automated, anonymous sessions. Related queries, interest over time and interest by country, state and US metro area work normally. A report with no data at all is free, and the Actor will fill these fields automatically if Google starts serving them again.

Why do I get no-data for some keywords?

Google shows no data when a keyword has very little search volume in the chosen geo and period. Try a bigger region, a longer time range or a broader keyword. These rows are free.

What does "Breakout" mean in rising queries?

The search grew by more than 5,000% compared with the previous period, usually because it is new. isBreakout is true and value holds the growth in %.

How do I get alerts for new rising searches?

Turn on Only new rising queries since last run, choose Past 7 days or Past 30 days, and add a daily or weekly schedule in Apify. Then send each run's results to Slack, email or Google Sheets with Apify's integrations, Make, Zapier or n8n.

Which export formats can I use?

Results land in an Apify dataset. Download them as JSON, JSONL, CSV, Excel, XML, HTML or RSS from the run page, or read them through the API, Make, Zapier, n8n or Google Sheets.

How this Actor was made

This Actor was made with AI. An AI agent wrote and tested the code, this README and the store listing, and a human owns and maintains the Actor. It reads the same JSON endpoints the Google Trends website uses for its own charts (explore, then the interest-over-time, region and related-searches widgets), through residential IPs with a cookie warm-up, and retries blocked requests on a fresh session.

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Feedback

Missing something, such as Trending Now by country, a flat one-row-per-date output or another Google property? Open an issue in the Issues tab and we will look at it.