Google Trends Scraper and API (50 Terms)

Get Google Trends data as JSON or CSV rows: interest over time, interest by region, top and rising related queries, and the full Trending Now list for any country. Up to 50 search terms go on one 0-100 scale. No login, no API key.

What people use it for:

• Ranking many keywords at once: up to 50 terms on one scale, where trends.google.com allows 5.
• Content and SEO planning: seasonal peaks and the rising queries around a topic.
• Daily trend alerts: schedule Trending Now with onlyNew to get only searches that started trending since the last run.
• Sizing markets: where a product or brand is searched most, by country, region, US metro or city.
• Dashboards and models: the tidy format gives one row per date, region or query, which loads straight into a BI tool or spreadsheet.

Quick start

Paste this into the JSON tab of the input and click Start:

{"searchTerms": ["coffee", "tea", "matcha"], "geo": "US", "trendingCountries": ["US"], "maxTrendsPerCountry": 10}

You get one row per term (12 months of weekly interest with average, peak and latest value) and today's 10 top trending searches in the US: 13 rows in about 10 to 30 seconds. Trending-only runs skip Google's cookie step and start at once (since 18 Oct 2026).

More examples:

{"searchTerms": ["coffee", "tea", "matcha"], "geo": "US", "includeRegions": true, "includeRelatedQueries": true}

{"trendingCountries": ["US", "GB", "IN"], "trendingWindow": "past-24-hours", "onlyNew": true}

Already have a comparison open on trends.google.com? Paste its link. The terms, location, time range, category and search type are read from it:

{"startUrls": [{"url": "https://trends.google.com/trends/explore?q=coffee,tea&geo=US&date=today%205-y"}]}

What you get

Group	Fields
Term (type: "term", series format)	term, averageValue, peakValue, peakDate, latestValue, latestDate, timeline (date, value, isPartial), regions, relatedQueries, relatedTopics, resolution
Request	geo, geoName, timeRange, category, categoryId, searchType, comparedWith, anchorTerm, scaleNote, notes, trendsUrl
Interest over time (tidy)	term, date, value, rawValue, isPartial
Interest by region (tidy)	regionLevel, regionCode, regionName, value
Related queries and topics (tidy)	list (top or rising), rank, query, topic, topicType, topicId, value, risePercent, breakout
Trending Now	country, countryName, title, searchVolume, searchVolumeText, increasePercent, startedAt, endedAt, active, categories, relatedQueries, news, window, source

• Interest over time: ISO dates, values 0-100, the step Google used (hour, day, week, month) and a flag on the current unfinished period.
• More than 5 terms on one scale. Google compares at most 5 terms at a time and scales each comparison on its own. Give this Actor up to 50 terms and it chains the comparisons through a shared anchor term and rescales them, so every term is on the same 0-100 scale.
• Trending Now: every trending search Google lists for a country in the past 4 hours, 24 hours, 48 hours or 7 days, with search volume, growth, start time, whether it is still rising, category and the searches behind it. The RSS feed only gives the newest 10.
• Inputs: "United States" or "US", "past-90-days" or your own start and end dates, a category from a list or any of Google's ~1,400 category ids, and web, image, news, shopping or YouTube search.
• Every row links to the same view on trends.google.com (trendsUrl), so you can check the numbers.

One real term row and one Trending Now row (run on 2026-10-18, shortened):

[
  {
    "type": "term",
    "term": "coffee",
    "geo": "US",
    "geoName": "United States",
    "timeRange": "past-12-months",
    "category": "All categories",
    "searchType": "web",
    "comparedWith": ["coffee", "tea", "matcha"],
    "resolution": "WEEK",
    "averageValue": 76.91,
    "peakValue": 100,
    "peakDate": "2026-04-12",
    "latestValue": 68,
    "latestDate": "2026-10-11",
    "timeline": [{"date": "2025-10-12", "value": 62, "isPartial": false}, {"date": "2026-10-18", "value": 54, "isPartial": true}],
    "trendsUrl": "https://trends.google.com/trends/explore?q=coffee%2Ctea%2Cmatcha&geo=US&date=today%2012-m"
  },
  {
    "type": "trending-now",
    "country": "US",
    "countryName": "United States",
    "title": "notre dame vs byu",
    "searchVolume": 1000000,
    "searchVolumeText": "1,000,000+",
    "increasePercent": 1000,
    "startedAt": "2026-10-17T11:30:00Z",
    "active": true,
    "categories": ["Sports"],
    "relatedQueries": ["notre dame football", "byu", "byu notre dame"],
    "window": "past-24-hours",
    "source": "trending-now"
  }
]

The dataset has five views (Terms, Interest over time, Interest by region, Related queries and topics, Trending Now) and exports to JSON, CSV, Excel or HTML. The run's SUMMARY record lists the comparisons made, the anchor, any filler removed and anything that failed.

Pricing

You pay per row returned. There is no charge for Apify platform usage on top.

Row	Free and Starter	Scale	Business
Trends row	$1 per 1,000	$0.75 per 1,000	$0.55 per 1,000

Plus $0.00005 per run start. Apify's free $5 monthly credit covers about 5,000 rows. Free-plan runs stop at 500 rows each; any paid Apify plan removes the cap.

What a row is depends on the output format:

Output format	One row is	Example
series (default)	one search term, with its whole timeline, regions and related queries inside	10 terms = 10 rows = $0.01
tidy	one date, one region or one related query	10 terms × 53 weeks = 530 rows = $0.53
Trending Now (either format)	one trending search	100 trends = $0.10

What's free: trends skipped by onlyNew, runs that return nothing because of the input or because nothing is new, and runs where Google Trends can't be read (the run says nothing was charged). A search term Google has no data for at all returns no row, so it costs nothing. To cap a run's spend, set Maximum cost per run in the run options, or maxRows in the input.

Limits

• Google never publishes search counts. Each value is search interest relative to the highest point in what you asked for: 100 is the peak, 50 is half as popular, 0 means too little data. Region maps are on each term's own scale. Values from different runs are on different scales; compare terms inside one run.
• More than 5 terms: the anchor term appears in every comparison, and the ratio of its totals converts one scale into the other; rawValue keeps Google's own number. Google rounds each comparison to whole numbers relative to its biggest term, so a giant anchor flattens small terms: pick a term of middling popularity as anchorTerm. If the anchor reads 0 to 9 in a comparison, that row's scaleNote says its conversion is approximate.
• Google rate-limits Trends hard. The Actor spaces requests, backs off on "too many requests", rotates IPs and moves to residential proxies only when it must. A very large request can still run out of time; it then stops with what it has and a message saying what to narrow, instead of failing.
• Filler in related queries. For some terms Google pads related lists with stock phrases when it sees an automated client. By default clusters of those are removed and listed in the run's SUMMARY record. Turn off filterNoise to get Google's lists exactly as returned; a real but generic query can occasionally be removed with them.
• Related topics currently come back empty from Google for most terms. The option is there, and the run tells you when Google returned nothing.
• Trending Now search volumes are Google's own lower bounds ("20K+" becomes 20000). If the full list is unavailable, the Actor falls back to the public RSS feed (newest 10 per country, with news headlines) and says so.
• Up to 50 search terms (100 characters each) and 50 Trending Now countries per run.

Only new since last run, and schedules

Set trendingCountries, turn on Only new trends since the last run and schedule the Actor, for example every few hours. Each run returns, and charges for, only trends earlier runs of the same setup haven't returned. onlyNew applies to Trending Now; term comparisons always return fresh numbers. Set up a schedule under Schedules in Apify Console.

Integrations: API, n8n, Make and AI agents

API. Run it and get the rows back in one call:

curl -X POST "https://api.apify.com/v2/acts/locaihost~google-trends/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["coffee", "tea", "matcha"], "geo": "US", "includeRelatedQueries": true}'

Apify's API clients for Python and JavaScript work the same way.

n8n, Make, Zapier, Google Sheets, Slack, webhooks. Apify's built-in integrations send each run's dataset wherever you need it, for example new trending searches into a Slack channel.

AI agents (MCP). Add this Actor to Claude, Cursor or any MCP client with https://mcp.apify.com/?tools=locaihost/google-trends, then ask something like "Which of these 12 drinks gained the most US search interest over the past year?"

FAQ

How much does it cost to scrape Google Trends?

$1 per 1,000 rows on the Free and Starter plans, less on Scale and Business. In the default series format one row is one term with its whole timeline, so 10 terms cost $0.01. Apify's free $5 monthly credit covers about 5,000 rows.

Can I use it through the API or from Python?

Yes. Use the run-sync-get-dataset-items call above, or Apify's Python and JavaScript clients. Every run's data is also available as JSON, CSV or Excel from its dataset.

Can I use it from an AI agent?

Yes. Through the Apify MCP server (https://mcp.apify.com/?tools=locaihost/google-trends) any MCP client can call it with a list of terms and read the rows back.

Is it legal to scrape Google Trends?

The Actor reads Google Trends' public data paths, the ones its robots.txt allows, without logging in, and collects no personal data. You are responsible for how you use the results, including Google's terms. When you publish the numbers, cite them as Data source: Google Trends (https://www.google.com/trends), as Google asks.

Can I compare more than 5 terms?

Yes, up to 50 in one run, on one scale, chained through an anchor term (see Limits).

Why do my numbers differ slightly from trends.google.com?

Google samples searches, so the same query can return slightly different values from one request to the next. Use the trendsUrl on each row to compare.

Why are some fields empty?

regions, relatedQueries and relatedTopics are filled only when you turn them on (only the timeline is on by default). When Google has no data for one part of a term (for example no region map for a small term), that part is null and the row's notes say why.

More from locaihost data

• People Also Ask questions: the questions Google shows for the terms that are trending.
• YouTube transcripts: what videos on a rising topic actually say.
• TikTok trends: trending hashtags, videos and top ads on TikTok, by country.
• App Store and Google Play reviews: ratings and reviews for the apps behind a trend.

Did it help?

If this saved you time, a quick rating on the Store helps other people find it.

Support

Something not working, or a field you need? Open an issue on the Issues tab: we answer issues within 24 hours.