Google Trends Scraper Pro - Multi-Country, Related Queries, Trending Now, CSV

Get Google Trends data without a Google account or API key: interest over time, comparisons of up to 5 keywords, interest by country, state or city, top and rising related queries, and every Trending Now search with news articles - for many countries in one run. Results come as clean dataset rows (JSON, CSV, Excel) plus ready-made CSV time series you can drop into Excel, Google Sheets, pandas or a BI tool.

It talks to Google Trends' own JSON endpoints - no headless browser - so a keyword usually takes about 4-5 small requests and a few seconds.

Why this one

• Several countries per run. Put US, BR, DE in Several countries (geos) and every keyword is fetched for each country - one row per keyword and country. Trending Now works the same way.
• Spreadsheet-ready time series. Each keyword run also writes two CSV files: TIMESERIES (long format: keyword, geo, date, value) and TIMESERIES_WIDE (one column per keyword, one row per date).
• The full Trending Now list, not just the RSS top 10. For example, 480 trending searches for the United States and 144 for Brazil in the past 24 hours (2026-10-04), with search volume, growth, start/end time, topics, related searches and news. If Google's list call fails, the actor retries, then fetches the list without news, and only then falls back to the RSS feed - and tells you which one you got.
• Built for reliability. One session per keyword (Google ties its tokens to the IP), paced requests, a retry after HTTP 429, and fresh sessions on new IPs. In auto mode it starts without a proxy and moves to Apify datacenter and then residential proxies only when Google throttles; choose residential to use residential IPs from the first request.
• You only pay for data. A keyword Google has no data for is not saved and not charged; the run summary says why.

What can I get?

Report (mode)	One row per	Data
keywords (default)	keyword × country	Interest over time (0-100), interest by region, top & rising related queries
compare	keyword × country	2-5 keywords on one shared scale, plus Google's average per keyword
trending	trending search	Every Trending Now search for the past 4, 24, 48 hours or 7 days, with news
suggestions	keyword	The topics (and topic ids) Google matches a word to

Any search type (web, News, Images, YouTube, Shopping), any country or worldwide, any of Google's categories, preset periods from the past hour to 2004-present, or two custom dates.

Input examples

Several keywords in several countries:

{
  "mode": "keywords",
  "searchTerms": ["chatgpt", "gemini", "claude"],
  "geos": ["US", "BR", "DE"],
  "timeRange": "today 12-m"
}

A comparison straight from a Google Trends link (keywords, country, dates, category and search type are read from the URL):

{
  "mode": "compare",
  "searchTerms": ["https://trends.google.com/trends/explore?q=iphone,samsung&geo=BR&date=today%203-m"]
}

Trending Now in two countries, 50 trends each, 2 news articles per trend:

{ "mode": "trending", "geos": ["US", "GB"], "trendingHours": "24", "newsPerTrend": 2, "maxItems": 50 }

Output example

A keywords row (arrays shortened):

{
  "keyword": "bitcoin",
  "keywordType": "Search term",
  "geo": "US",
  "geoName": "United States",
  "timeRange": "today 3-m",
  "startDate": "2026-07-04",
  "endDate": "2026-10-04",
  "step": "day",
  "interestOverTime": [
    { "date": "2026-07-04", "value": 77, "isPartial": false },
    { "date": "2026-10-04", "value": 39, "isPartial": true }
  ],
  "regionLevel": "region",
  "interestByRegion": [
    { "regionName": "Kansas", "regionCode": "US-KS", "value": 100 },
    { "regionName": "Nevada", "regionCode": "US-NV", "value": 83 }
  ],
  "relatedQueries": {
    "top": [{ "query": "bitcoin price", "value": 100 }, { "query": "bitcoin stock", "value": 21 }],
    "rising": [{ "query": "suriname meaning", "value": 3900, "growth": "+3,900%" }]
  },
  "missing": [],
  "trendsUrl": "https://trends.google.com/trends/explore?q=bitcoin&date=today%203-m&geo=US",
  "scrapedAt": "2026-10-04T18:12:57+00:00"
}

A trending row:

{
  "term": "como votar nas eleições do brasil",
  "geo": "BR",
  "trendingHours": "24",
  "isActive": true,
  "startedAt": "2026-10-04T02:00:00+00:00",
  "searchVolume": 1000000,
  "increasePercent": 1000,
  "categories": ["Politics"],
  "relatedSearches": ["como votar nas eleições do brasil", "ate que horas pode votar", "titulo de eleitor"],
  "news": [{ "title": "Radar da eleição: acompanhe a votação do primeiro turno", "source": "UOL Notícias", "url": "https://noticias.uol.com.br/...", "publishedAt": "2026-10-04T17:38:44+00:00" }]
}

TIMESERIES_WIDE (key-value store) for two keywords in two countries:

date,bitcoin (US),ethereum (US),bitcoin (BR),ethereum (BR)
2026-07-04,77,63,47,27
2026-07-05,84,66,46,25

The OUTPUT record holds the run summary: every keyword and country with its status (ok, partial, skipped), the reason in plain English, and how many requests were made.

Run it on a schedule and connect it to your tools

Schedule: in Apify Console open Schedules → Create, pick this actor and your input, and set it to run every Monday at 07:00 (your time zone) for a fresh dataset on a fixed day. Each run returns the full, current result set as a new dataset.

Integrations (Actor → Integrations tab, no code):

• Google Sheets — append every run's rows to a sheet.
• Make, Zapier, n8n — start the actor from a scenario/zap/workflow and use the rows in the next steps.
• Webhook — get a POST to your endpoint when a run succeeds, then download the dataset.
• Slack / email — notify your team when a scheduled run finishes.

AI agents (MCP) — Claude, ChatGPT, Cursor, VS Code or any MCP client can run it as a tool: add the Apify MCP server https://mcp.apify.com?actors=kalilfagundes.w/google-trends-scraper (sign in with your Apify account) and ask for the data in plain language. The agent fills the input from the input schema and reads the dataset back.

API — call it from your code (pip install apify-client / npm i apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kalilfagundes.w/google-trends-scraper").call(run_input={
    "mode": "keywords",
    "searchTerms": [
        "chatgpt",
        "gemini",
        "claude"
    ],
    "geos": [
        "US",
        "BR",
        "DE"
    ],
    "timeRange": "today 12-m",
    "proxyMode": "residential"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kalilfagundes.w/google-trends-scraper').call({
  "mode": "keywords",
  "searchTerms": [
    "chatgpt",
    "gemini",
    "claude"
  ],
  "geos": [
    "US",
    "BR",
    "DE"
  ],
  "timeRange": "today 12-m",
  "proxyMode": "residential"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Pay per event, platform usage included - see the Pricing tab for the current prices:

• keyword - one keyword × country with interest over time and/or interest by region
• related-queries - added when Google returned related queries for that keyword
• trend - one Trending Now search
• suggestions - one keyword looked up for topic suggestions

Keywords without data are not charged. Set a maximum cost per run in the run options to cap spending; the actor stops cleanly when it is reached.

FAQ

Are the values search counts? No. Google Trends gives a 0-100 index relative to the highest point in the chosen period and place. To compare keywords fairly, use compare mode so they share one scale.

Why is the last point isPartial? The current day/week is not finished yet; Google marks it as partial.

What time zone are the dates in? UTC.

Do I need a proxy? No configuration is needed. auto handles Google's throttling by moving to Apify proxies when needed; residential uses residential IPs from the start for large or scheduled runs.

Why are related topics missing? The endpoints this actor uses return related queries reliably; related topics came back empty in tests, so they are not included rather than returned empty.

How do I monitor trends every day? Save your input as a task and add an Apify Schedule; each run writes fresh rows and CSV files.

Can I call it from code or an AI agent? Yes - through the Apify API, the Python/JS clients, Make, n8n, Zapier, or the Apify MCP server.

Limitations

• Countries only for geo/geos (no state- or city-level filter; states and cities are available as results via regionLevel).
• Up to 50 countries per run; compare is limited to 5 keywords per comparison (Google's own limit).
• Google can change its endpoints at any time; the actor reports exactly what failed in OUTPUT.

Related actors

• Meta Threads Scraper - Posts, Replies, Profiles & Hashtags
• Reddit Scraper - Posts, Comments, Subreddits, No API Key
• Weibo Scraper - Hot Search, Posts, Comments & Profiles 微博

Feedback

If this actor saves you time, a quick rating on its Store page helps other people find it. Something not working? Open an issue in the Issues tab and it gets fixed fast.