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rsiddiq95/google-trends-scraper

rsiddiq95--google-trends-scraper
Destructive

This tool calls the Actor "rsiddiq95/google-trends-scraper" and retrieves its output results. Actor description: Get Google Trends data: interest over time, interest by region, related queries, and Trending Now searches. Polite automatic retries, and failed lookups are never charged.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "rsiddiq95--google-trends-scraper"
  }
}

Input Schema

NameRequiredDescriptionDefault
geoNoCountry or region code such as US, GB, DE or US-CA. Leave empty for worldwide. Example values: "US"
categoryNoGoogle Trends category ID to narrow results, for example 71 for Food & Drink. 0 means all categories.
languageNoInterface language for labels and topic names, for example en-US or de-DE. Example values: "en-US"en-US
waitSecsNoMax seconds (0–45, default 30) to cap the wait for the Actor run to reach terminal state. For long-running Actors the response returns at the cap with the current run status; follow `nextStep` to poll via get-actor-run. Set to 0 to fire-and-forget.
timeRangeNoPeriod to analyze. Ignored when a custom time range is set. Example values: "today 12-m"today 12-m
searchTermsNoKeywords or phrases to look up on Google Trends. Each term becomes one result row. Example values: ["air fryer","standing desk"]
compareTermsNoWhen on, terms are compared in groups of up to 5 (like typing them together on Google Trends), so values are relative across the group. When off, each term is scaled on its own.
maxConcurrencyNoHow many terms to fetch in parallel. Higher is faster but more likely to be rate-limited. Example values: 2
searchPropertyNoWhich Google property to measure.
customTimeRangeNoOptional exact dates in the format YYYY-MM-DD YYYY-MM-DD, for example 2024-01-01 2024-12-31.
trendingNowGeosNoCountry codes (for example US, GB) to fetch the current Trending Now searches for, with traffic estimates and news links.
regionResolutionNoGranularity for interest by region. Auto uses Google's default for the chosen location.
proxyConfigurationNoProxy servers used to reach Google Trends. Example values: {"useApifyProxy":true}
includeRelatedQueriesNoInclude top and rising related searches. Example values: true
includeInterestByRegionNoInclude search interest broken down by country, state, or city. Example values: true
includeInterestOverTimeNoInclude the timeline of search interest (0-100). Example values: true
includeLowVolumeRegionsNoAlso return regions where search volume is low.

Output Schema

NameRequiredDescriptionDefault
tipNoAdvisory guidance RAG Web Browser wrote to its key-value store under the reserved "TIP" key
runIdYesActor run ID
statsNoRun statistics
statusYesRun status: READY | RUNNING | TIMING-OUT | TIMED-OUT | ABORTING | ABORTED | SUCCEEDED | FAILED
actorIdYesStable Apify Actor ID from the run record
summaryYesPast-tense summary of the run state
exitCodeNoActor process exit code; populated for terminal states (especially FAILED)
nextStepYesOne primary follow-up action with identifiers interpolated
storagesYesDataset and key-value store metadata, keyed by alias. "default" is always the primary entry.
actorNameNo"username/actor-name"
startedAtNoISO timestamp when the run started
finishedAtNoISO timestamp when the run finished (terminal states only)
statusMessageNoPass-through from Apify run.statusMessage
apifyConsoleUrlNoPersonalized Apify Console link to the run; present only for Console sessions

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedOutput schema / properties / storages / properties / datasets / additionalProperties / properties / fields / description
      Previous value: -"Dataset field paths in dot notation (e.g. [\"metadata.url\"])"New value: +"Paths that work as a fields selection (e.g. [\"results\", \"metadata.url\"]); an array field appears by its top-level name."
    • changedOutput schema / properties / storages / properties / datasets / properties / default / properties / fields / description
      Previous value: -"Dataset field paths in dot notation (e.g. [\"metadata.url\"])"New value: +"Paths that work as a fields selection (e.g. [\"results\", \"metadata.url\"]); an array field appears by its top-level name."
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare openWorldHint=true and destructiveHint=true, so the risk profile is partly carried elsewhere. The description adds genuine value by disclosing automatic retries and that failed lookups are never charged, which matters for a paid, network-dependent scrape. However it says nothing about run lifecycle, timeouts, or the fact that the call may return before the run finishes, which is the most consequential behavior for this wrapper.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the mechanism then the payload summary, with no filler. The opening clause about calling the Actor is somewhat boilerplate for this wrapper family, but it is short and does orient the reader.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 17 parameters, nested proxy config, and an output schema, the definition is adequate because the schema does most of the explanatory work. What the description omits is the async run/poll contract and any note that results are returned as Actor output (dataset items), which an agent needs to interpret the response. Given the complexity, it is minimally sufficient rather than complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% across all 17 parameters, including enums, defaults, and the waitSecs polling hint, so the description is not required to compensate. It adds no parameter-level meaning of its own beyond the output data types. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Calls the Actor ... and retrieves its output results" names the mechanism, and the actor summary enumerates the four concrete data types produced (interest over time, interest by region, related queries, Trending Now). An agent can tell what it gets back without opening the schema. It stops short of distinguishing this from siblings, but none of the listed siblings are competing Google Trends tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative-tool guidance anywhere in the description. The only usage-adjacent content is a cost reassurance ("failed lookups are never charged") and retry behavior, which are not selection criteria. An agent must infer the use case entirely from the name and actor blurb.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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