Google Trends Scraper — API & Trending Now | $0.50/1k keywords

What does Google Trends Scraper do?

Google Trends Scraper turns Google Trends into data you can export to CSV, Excel or JSON, or pull from the API. Type search terms and get one result per keyword: its interest over time, interest by region and top and rising related queries, all in one row. Or list countries and get what is trending now, with search volume, start time, related searches and news articles. It works as a Google Trends API alternative: no Google account, no API key, no browser.

Typical use cases:

• SEO and content planning: compare keywords on one 0-100 scale, find rising related queries and "Breakout" searches before competitors write about them.
• Market and product research: track the seasonality of hundreds of products over 5 years, see which states or countries search for them most.
• Newsrooms, social teams and AI agents: pull the Trending now list every hour for several countries, with the news articles behind each trend.

It reads only data Google Trends shows publicly to anyone. It does not log in and does not collect personal data.

Why use this Google Trends scraper?

• One result per keyword, $0.0005. A keyword with all three data types (about 50 dates, 50 regions and 50 related queries) is one row and one billed result. 1,000 keywords cost $0.50, platform usage included.
• Summary numbers included. Every keyword row also has latestValue, averageValue, peakValue and peakDate, so you can sort 500 keywords without opening a single timeline.
• Flat tables when you want them. Switch Output format to one row per data point for spreadsheet-ready rows (one per date, region or related query; each row is billed).
• Reliable from Apify's servers. The Actor handles Google's cookie handshake and rate limits itself (pacing, backoff, and a switch to Apify's datacenter proxy when Google slows it down). Tested at 100% success over 300+ calls through the datacenter proxy.
• Honest results. Every row carries a status (ok, not_found, error), so you or an AI agent can tell "Google has no data for this term" apart from "could not be read". You pay only for ok rows.

What data can Google Trends Scraper extract?

Default: one row per keyword (dataType: search_term):

Field	Type	Description
searchTerm	string	The keyword (or topic id)
comparedWith	array	The other terms when keywords were compared on one scale
geo	string	Location code (US, GB, US-CA) or WORLDWIDE
timeRange	string	Time range, e.g. today 12-m, or custom 2024-01-01 2024-12-31
category	integer	Google Trends category id (0 = all)
property	string	web, images, news, youtube or froogle (Shopping)
latestValue	number	Interest (0-100) in the latest complete period
averageValue	number	Average interest over the range
peakValue, peakDate	number, string	Highest interest and when it happened
interestOverTime	array	Every date: {date, value, isPartial} (value 0-100; isPartial = period not finished yet)
interestByRegion	array	Every region with data: {geoCode, geoName, value} (plus latitude/longitude for cities)
resolution	string	Region level: COUNTRY, REGION, CITY or DMA
relatedQueries	object	{top: [{query, value, formattedValue}], rising: [{query, value, formattedValue, isBreakout}]}
alias	string	Your own label for the term (Keyword aliases); searchTerm stays as sent to Google
comparisonGroup	string	Compared terms only: all terms of the comparison, e.g. coffee vs tea vs matcha
comparisonRank	integer	Compared terms only: 1 = most searched term of the comparison (by average interest)
shareOfInterest	number	Compared terms only: the term's share of the comparison's interest, in % (shares add up to 100)
topicSuggestions	array	With Topic suggestions on: [{topicId, title, type}], e.g. /m/02vqfm, Coffee, Beverage
partialError	string	Set only when one requested data type could not be read

Trending now: one row per trending search (dataType: trending_now):

Field	Type	Description
title	string	The trending search
rank	integer	Position in the Trending now list
approxTraffic	string	Search volume as Google prints it, e.g. 200K+
searchVolume	integer	Approximate number of searches
increasePercent	integer	Rise in searches, percent
startedAt, endedAt	string	When the trend started / ended (ISO 8601)
isActive	boolean	Still trending
trendCategories	array	e.g. Sports, Entertainment
trendBreakdown	array	The searches Google groups into the trend
newsArticles	array	{title, url, source, publishedAt}

Flat format (outputFormat: rows): one row per data point, dataType interest_over_time, interest_by_region or related_queries:

Field	Type	Description
dataType	string	search_term, interest_over_time, interest_by_region, related_queries or trending_now
date	string	Interest over time: YYYY-MM-DD, or a UTC timestamp for hourly data
dateLabel	string	Interest over time: the period as Google labels it (e.g. a week)
value	number	Interest 0-100; region share for comparisons; related-query score or rise %
formattedValue	string	The value as Google prints it: 73, 68%, +250%, Breakout
isPartial	boolean	Interest over time: true for the latest, still incomplete period
hasData	boolean	Interest over time: false where Google shows no data
geoCode	string	By region: region code (US-CA, DE, 602 for a metro area)
regionName	string	By region: country, state, city or metro area
latitude, longitude	number	By region, city level: coordinates
rankType	string	Related queries: top or rising
query	string	Related queries: the related search
isBreakout	boolean	Related queries: rising more than +5000%
topicId, topicTitle, topicType	string	Topic suggestions (dataType: topic_suggestion): the suggested Google Trends topic

Every row also has url (the Google Trends page), status, error and scrapedAt.

Result status (tri-state output)

status	Meaning	Billed?
ok	Data was read.	Yes
not_found	Google Trends answered but has too little search volume for the keyword, or nothing trends with your filters.	No
error	Google Trends could not be read after retries, or the input was not usable. error says why.	No

How to use the Google Trends API alternative

1. Open the Actor in Apify Console and click Try for free.
2. Type Search terms, one per line. To compare terms on one timeline, list up to 5 in Compare mode (or put them on one line separated by commas: coffee, tea, matcha). Each compared term gets its rank and share of interest.
3. Pick the Location (empty = worldwide), Time range, and which data to include.
4. For Trending now, add country codes under Trending now: countries (search terms can stay empty).
5. Click Start. The default input (5 keywords) finishes in about 20 seconds. Open Output or Export as CSV, Excel or JSON.

To automate it, use the API tab (Node.js, Python, curl) or add a Schedule (e.g. Trending now every hour).

How much does it cost to scrape Google Trends?

Pay-per-event pricing; Apify platform usage (compute and proxy) is included, so you pay only these events:

Event	Price
Actor start	$0.005 per run
Result (status: ok row; topic_suggestion rows are free)	$0.0005 per row ($0.50 per 1,000)

What counts as one result depends on Output format:

• One row per keyword (default): one result per keyword. Interest over time, interest by region and related queries of a keyword are one row, so one keyword costs $0.0005, and 1,000 keywords cost $0.50. A comparison line such as coffee, tea is one row per keyword (2 results).
• One row per data point (rows): every data point is billed. Each date, region and related query is its own row. One keyword over 12 months with all three data types is about 154 rows = $0.077. Use it only when you need the flat table. Topic suggestion rows (topic_suggestion) are free.
• Trending now: one result per trending search. The US list for the past 24 hours is about 370 trends = $0.19; cap it with Maximum rows.

Examples: 5 keywords in one run = $0.005 start + 5 × $0.0005 = $0.0075. 1,000 keywords = $0.005 + $0.50 = $0.505.

Rows with not_found or error are free. Cap spending with Maximum rows and the run's Max total charge.

Input

Field	Type	Default	Description
searchTerms	array	-	One keyword per line; a, b, c on one line compares up to 5 terms
compareTerms	array	-	Compare mode: up to 5 terms on one timeline and scale, with comparisonRank and shareOfInterest; a 6th term returns a free error row
keywordAliases	array	-	Labels for your terms: [{"key": "/m/02vqfm", "value": "Coffee (drink)"}] adds alias to that term's rows
geo	string	"" (worldwide)	US, GB, US-CA, GB-ENG...
timeRange	string	today 12-m	now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all
startDate, endDate	string	-	Custom range YYYY-MM-DD (overrides timeRange)
category	integer	0	Google Trends category id
property	string	web	web, images, news, youtube, froogle
includeInterestOverTime	boolean	true	Interest over time
includeInterestByRegion	boolean	true	Interest by region
regionResolution	string	auto	COUNTRY, REGION, CITY, DMA
includeRelatedQueries	boolean	true	Top and rising related queries
includeTopicSuggestions	boolean	false	Google Trends topics matching each keyword (topicSuggestions), no extra charge (in flat format each suggestion is its own free row)
outputFormat	string	perTerm	perTerm (one row per keyword) or rows (one row per data point)
trendingGeos	array	-	Country codes for Trending now
trendingHours	string	24	4, 24, 48, 168
trendingCategory	string	0	Trending category id (17 = Sports, 18 = Technology...)
trendingActiveOnly	boolean	false	Only trends that are still active
trendingNewsPerTrend	integer	3	News articles per trend (0-10)
startUrls	array	one example URL	Google Trends explore or Trending now URLs from your browser
maxItems	integer	1000	Stop after this many rows (keywords in the default format)
proxyConfiguration	object	off	Optional Apify Proxy (datacenter)

Example input:

{
    "searchTerms": ["coffee", "iphone 17, galaxy s26, pixel 11"],
    "compareTerms": ["chatgpt", "gemini", "claude", "copilot", "perplexity"],
    "keywordAliases": [{ "key": "/m/02vqfm", "value": "Coffee (drink)" }],
    "includeTopicSuggestions": true,
    "geo": "US",
    "timeRange": "today 5-y",
    "trendingGeos": ["US", "GB"],
    "trendingHours": "24"
}

Output

Download the dataset as JSON, CSV, Excel, XML or HTML. A real row from a run of the default input on the Apify platform (keyword coffee, US, past 12 months; 2026-09-28). This whole row is one result ($0.0005); the arrays are shortened here (the run returned 53 dates, 51 states, 25 top and 25 rising queries):

{
    "url": "https://trends.google.com/trends/explore?date=today+12-m&geo=US&q=coffee&hl=en-US",
    "status": "ok",
    "scrapedAt": "2026-09-28T19:55:25.761Z",
    "dataType": "search_term",
    "searchTerm": "coffee",
    "geo": "US",
    "timeRange": "today 12-m",
    "category": 0,
    "property": "web",
    "latestValue": 72,
    "averageValue": 76.4,
    "peakValue": 100,
    "peakDate": "2026-04-12",
    "interestOverTime": [
        { "date": "2025-09-28", "value": 66, "isPartial": false },
        { "date": "2025-10-05", "value": 60, "isPartial": false },
        { "date": "2026-09-20", "value": 72, "isPartial": false },
        { "date": "2026-09-27", "value": 71, "isPartial": true }
    ],
    "interestByRegion": [
        { "geoCode": "US-WY", "geoName": "Wyoming", "value": 100 },
        { "geoCode": "US-HI", "geoName": "Hawaii", "value": 47 },
        { "geoCode": "US-KS", "geoName": "Kansas", "value": 42 }
    ],
    "resolution": "REGION",
    "relatedQueries": {
        "top": [
            { "query": "coffee near me", "value": 100, "formattedValue": "100" },
            { "query": "coffee shop", "value": 91, "formattedValue": "91" }
        ],
        "rising": [
            { "query": "how to remove coffee stain from carpet", "value": 5150, "formattedValue": "Breakout", "isBreakout": true },
            { "query": "sports scores today", "value": 4900, "formattedValue": "+4,900%", "isBreakout": false }
        ]
    }
}

A Trending now row from the platform (GB, past 24 hours, 2 news articles per trend), breakdown trimmed:

{
    "url": "https://trends.google.com/trends/explore?date=now+1-d&geo=GB&q=belgium+vs+france&hl=en-US",
    "status": "ok",
    "scrapedAt": "2026-09-28T19:28:06.057Z",
    "dataType": "trending_now",
    "title": "belgium vs france",
    "rank": 1,
    "geo": "GB",
    "timeRange": "past 24 hours",
    "approxTraffic": "20K+",
    "searchVolume": 20000,
    "increasePercent": 1000,
    "startedAt": "2026-09-28T17:50:00.000Z",
    "isActive": true,
    "trendCategories": ["Sports"],
    "trendBreakdown": ["france vs belgium", "france fc", "belgium v france"],
    "newsArticles": [
        {
            "title": "Belgium vs France: UEFA Nations League stats & head-to-head",
            "url": "https://www.bbc.co.uk/sport/football/live/cmzxzevvrd6nt",
            "source": "BBC",
            "publishedAt": "2026-09-28T19:07:30.000Z"
        },
        {
            "title": "Belgium v France, Northern Ireland v Hungary and more: Nations League – live",
            "url": "https://www.theguardian.com/football/live/2026/sep/28/belgium-v-france-northern-ireland-v-hungary-and-more-nations-league-live",
            "source": "The Guardian",
            "publishedAt": "2026-09-28T17:45:00.000Z"
        }
    ]
}

In the flat format (outputFormat: rows) the same keyword comes back as one row per data point, for example {"dataType": "interest_over_time", "searchTerm": "coffee", "date": "2025-09-28", "value": 66, "isPartial": false, ...}, {"dataType": "interest_by_region", "regionName": "Wyoming", "geoCode": "US-WY", "value": 100, ...} and {"dataType": "related_queries", "rankType": "top", "rank": 1, "query": "coffee near me", "value": 100, ...}.

A keyword Google has no data for comes back as one free row: {"status": "not_found", "searchTerm": "...", "error": "Google Trends has too little search volume for \"...\" (US, past 90 days) to show interest over time, related queries."}

Tips

• Put many keywords in one run instead of one run per keyword; the start fee is paid once.
• Sort by latestValue, averageValue or peakValue to rank keywords without opening their timelines.
• For large runs (hundreds of keywords), turn on Apify Proxy (datacenter) so the calls spread over many IPs.
• Compare keywords in Compare mode (or on one line, a, b) when you need them on the same scale; separate lines are each scaled 0-100 on their own. Sort compared rows by comparisonRank to see the winner.
• Turn on Topic suggestions to find the topic id of a keyword (/m/02vqfm for Coffee the drink), then search the topic id to cover every spelling and language; give it a readable name with Keyword aliases.

Limitations

• Google Trends values are relative indexes (0-100), not search counts. Each request is scaled to its own peak, so values from separate runs, terms or regions are not directly comparable unless the terms were compared on one line.
• Google samples the data, so the same request can return slightly different values on different days (for short ranges even minutes apart).
• Related topics are not offered: Google Trends returns an empty list to automated clients (its website unlocks them with a reCAPTCHA check this Actor does not attempt). Related queries work, and Topic suggestions give the topics that match each keyword.
• Google Trends compares at most 5 terms on one timeline.
• Region data for comparisons shows each keyword's share of the region (formattedValue 68%), as on the Google Trends page. City-level data is sparse: many keywords have none at country level (metro areas, DMA, are usually filled).
• Trending now volumes (approxTraffic) are Google's rounded buckets (2K+, 200K+).
• Very large runs are paced to stay within Google's rate limits, so hundreds of terms take minutes, not seconds.

FAQ

Does Google have a Trends API?

Google offers a Trends API only to selected testers. This Actor reads the same public data the Google Trends website shows and returns it as structured rows.

Is it legal to scrape Google Trends?

Google Trends data is aggregated and anonymous, and this Actor reads only what the public website shows. You are responsible for how you use the output; read the legal notice below and Google's terms of service.

Can I use this Actor from an AI agent or MCP client?

Yes. Call it with {"searchTerms": ["your term"]} or {"trendingGeos": ["US"]}. Every row is self-describing (dataType, status, error), and one row per keyword with summary numbers (latestValue, peakValue) keeps answers short.

Why did I get fewer rows than expected?

Google shows no data for low-volume keywords (you get a free not_found row), regions without enough data are left out of interestByRegion, and the run stops at Maximum rows or your Max total charge.

Can I search a topic instead of a keyword?

Yes. Paste the topic id Google Trends uses in its URLs (for example /m/02vqfm from ...explore?q=%2Fm%2F02vqfm) as a search term, or paste the whole explore URL into Google Trends URLs. Don't know the id? Turn on Topic suggestions for the keyword; each suggestion carries its topicId. Add a Keyword alias so your rows read Coffee (drink) instead of /m/02vqfm.

Related Actors

• Keyword Suggestions API - use it to expand one seed into hundreds of long-tail keywords to compare in Google Trends.
• Google News Scraper - use it to read the news coverage behind a trending search.
• YouTube Scraper - use it to see which videos rank for a rising query, with exact views and upload dates.
• Pinterest Scraper - use it to see the pins and boards behind a rising visual or product trend.
• Yahoo Finance Scraper - use it to put search interest in a company or product next to its share price history.
• YouTube Transcript Scraper - use it to pull the full captions of the videos you find, as timed segments or plain text.
• YouTube Comments Scraper - use it to read what viewers say under the videos, with likes and reply threads.

Legal and data-protection notice

This Actor extracts only data that Google Trends publishes publicly; it does not extract private user data such as e-mail addresses, phone numbers, gender or precise location, and it does not log in or circumvent access controls. However, your results could still contain personal data, for example a person's name inside a trending search or a news headline. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you are unsure whether your reason is legitimate, consult your lawyers. You are responsible for complying with Google's terms of service and applicable law when using the extracted data.

This Actor is an independent tool and is not affiliated with, endorsed by or sponsored by Google LLC. Google and Google Trends are trademarks of Google LLC. All trademarks belong to their respective owners.