Radar Google Trends Explorer

x402

Radar Google Trends Explorer is a paid API for AI agents from 2-29-135-242.sslip.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-11-02).

Fetches and analyzes Google Trends data for one or more keywords, including interest over time, regional breakdown, and related queries/topics

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Fast tools (web read, domain RDAP/DNS/SSL, Federal Register, clinical trials, Polymarket+Kalshi odds, OSV vulnerabilities) and data APIs (leads, jobs, YouTube, Reddit, Trends, tenders...). POST JSON, pay per call in USDC on Base via x402. Charged only when results are returned.

Output

A JSON object with a count and an array of result items. Each item contains trend metrics such as interest-over-time values, compared interest scores (0–100 across all keywords), interest broken down by country/region/city, and lists of top and rising related queries and topics — depending on which include flags were set.

Example use cases

Brand vs competitor trend comparison

“Compare Google search interest for 'Nike', 'Adidas', and 'New Balance' over the past 5 years worldwide on web search, put them all on a common 0–100 scale so I can compare them, and include regional breakdowns at the country level — return up to 100 rows.”

Rising queries for content strategy

“Show me the top and rising related queries and topics for 'electric vehicles' on Google web search in the US over the past 90 days — keep up to 25 related items per list so I can find content angles that are gaining traction.”

Seasonal product demand analysis

“Analyze Google Shopping trends for 'winter boots' and 'rain boots' from 2023-01-01 to 2023-12-31 in the US and GB, broken down by region at the REGION level, so I can see seasonal demand patterns by area — limit to 50 rows.”

Technical details

Endpoint

POSThttps://2-29-135-242.sslip.io/x402/google-trends-explorer?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need structured, machine-readable Google Trends data for more than 5 keywords simultaneously (using compareKeywords), need regional breakdowns beyond what the Google Trends UI offers, or need related queries/topics programmatically. Prefer over manual Google Trends scraping when you need reproducible, pay-per-use access without API key management. Ideal for competitive analysis, SEO research, and market monitoring pipelines that require normalized cross-keyword interest scores.

Side effects

No results returned if keywords have insufficient search volume for the selected timeframe or region
Invalid geo codes or category IDs may cause empty or error responses
Requesting too many keywords without compareKeywords enabled may hit Google's 5-keyword comparison limit
customTimeframe format errors (must be YYYY-MM-DD YYYY-MM-DD) will cause request failures
Payment failure on Base network results in no charge and no data returned
maxItems set too low may truncate meaningful trend data

Input

Schema · Request body

Field	Type	Description
geo	string	Single country or region code such as US, GB or US-CA. Empty = worldwide. Ignored when 'Locations' above is filled in, and overridden by the geo in a start URL.
geos	array	Country or region codes such as US, GB, DE or US-CA. Leave empty for worldwide. Each keyword is analyzed for every location.
category	string	Google Trends category ID as text, e.g. 7 for Finance. 0 or empty = all categories. Numbers are accepted by the code, the field itself is text so it matches apify/google-trends-scraper.
keywords	array	Search terms to analyze, one per line. Any number of keywords; they can also be compared on one common scale.
language	string	Interface language for names of regions and topics, e.g. en-US, de, es.
maxItems	integer	Hard limit on rows saved (and paid for). 0 = no limit.
startUrls	array	Google Trends explore URLs copied from your browser. The search terms (q), location (geo), time range (date), category (cat) and search type (gprop) are read from each URL.
timeRange	string	Predefined time range as Google code. Empty = use 'Time range' above (past 12 months by default). Overridden by a custom time range.
timeframe	string	Period to analyze.
isMultiple	boolean	If checked, a comma inside one search term separates up to 5 terms that are compared in one Google Trends query.
searchType	string	Which Google search to analyze.
viewedFrom	string	Two-letter country code used for the residential proxy fallback, e.g. US or DE. Empty = US.
searchTerms	array	Same as 'Keywords': search terms to analyze, one per line. Use either field or both.
spreadsheetId	string	Accepted for compatibility but not supported: it is ignored with a log warning. Put your terms into 'Search terms' instead.
includeRegions	boolean	Add interest by country, region or city.
includeRelated	boolean	Add top and rising related queries and topics.
compareKeywords	boolean	Adds comparedInterest (0-100) so all keywords are comparable, even more than Google's limit of 5.
customTimeRange	string	Custom range, takes precedence over the time range. Format: YYYY-MM-DD YYYY-MM-DD, e.g. 2024-01-01 2024-12-31.
customTimeframe	string	Overrides the time range. Format: YYYY-MM-DD YYYY-MM-DD, e.g. 2024-01-01 2024-12-31.
maxRelatedItems	integer	How many related queries and topics to keep in each list.
skipDebugScreen	boolean	Accepted for compatibility. This Actor does not save page snapshots, so it has no effect.
regionResolution	string	Detail of the regional breakdown. Auto uses countries for worldwide and regions for a country.
maxRequestRetries	integer	How many times a failed request is retried with a fresh session (1-10). Only successful reports are charged.
pageLoadTimeoutSecs	integer	How long to wait for one Google response before retrying (15-60 seconds are used).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "count": 1,
    "items": [
      {
        "...": "one result object"
      }
    ]
  }
}

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