{ "openapi": "3.0.1", "info": { "title": "Google Trends Scraper — Interest, Regions & Queries", "description": "Extract all 5 Google Trends data types: keyword interest over time, by region, related queries, related topics & daily trending searches. 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Use this when the user provides specific keywords, topics, or brand names to compare (e.g. ['ChatGPT', 'Gemini', 'Copilot']). Required when requesting interest_over_time / interest_by_region / related_queries / related_topics. Not required when only fetching trending_searches. Maximum 5 keywords — Google enforces this limit on comparison.", "items": { "type": "string" } }, "geo": { "title": "Geographic Region", "type": "string", "description": "ISO 3166-1 alpha-2 country code to filter trends by location (e.g. 'US', 'GB', 'IN', 'DE'). Use '' (empty string) for worldwide. This also picks the residential proxy country, which is critical for reliability — Google blocks mismatched IP/geo pairs." }, "timeframe": { "title": "Timeframe", "enum": [ "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" ], "type": "string", "description": "Date range for trend data. Past month / 3 months / 12 months are the most reliable; 'all' (since 2004) is the slowest. Overridden by customTimeRange if provided.", "default": "today 12-m" }, "property": { "title": "Property / Search Type", "enum": [ "web", "news", "images", "youtube", "froogle" ], "type": "string", "description": "Which Google property to analyze. 'web' is normal Google Search (default and most reliable). Other properties return narrower data — for instance YouTube returns YouTube-specific interest curves, which differ from web search.", "default": "web" }, "category": { "title": "Category ID", "type": "integer", "description": "Google Trends category to filter results. Use 0 for all categories (default). Full list at trends.google.com/trends/api/explore (categories list).", "default": 0 }, "dataTypes": { "title": "Data Types to Extract", "uniqueItems": true, "type": "array", "description": "Which Google Trends data types to fetch in one run. interest_over_time = temporal curve (0–100 relative). interest_by_region = geographic breakdown. related_queries = top/rising search terms. related_topics = top/rising Knowledge Graph topics. trending_searches = daily top searches by country (does not need keywords). Pick as many as you need — they share one session, so adding more is cheap.", "items": { "type": "string", "enum": [ "interest_over_time", "interest_by_region", "related_queries", "related_topics", "trending_searches" ], "enumTitles": [ "Interest over time", "Interest by region", "Related queries", "Related topics", "Trending searches (daily, by country)" ] }, "default": [ "interest_over_time", "related_queries" ] }, "trendingSearchesGeo": { "title": "Trending Searches Country", "type": "string", "description": "ISO 3166-1 alpha-2 country code for daily trending searches (only used when 'trending_searches' is in dataTypes). Example: 'US', 'GB', 'IN'. Defaults to the value of geo. Trending searches are not available for every country — US/GB/IN/JP/DE are the most reliable." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum total number of records to return across all dataTypes. The actor stops + charges once this limit is hit. Default 500 covers typical use; raise it for full multi-keyword exports.", "default": 500 }, "customTimeRange": { "title": "Custom Date Range", "type": "string", "description": "Override 'timeframe' with a specific date range. Format: 'YYYY-MM-DD YYYY-MM-DD' (e.g. '2023-01-01 2024-01-01'). Leave empty to use the timeframe enum. NOT a single date — must be two dates separated by a space." }, "outputFormat": { "title": "Output Format", "enum": [ "flat", "summary" ], "type": "string", "description": "How to structure output. 'flat' = one record per data point (default — best for CSV exports and AI/LLM pipelines). 'summary' = same flat structure today (reserved for future grouped output).", "default": "flat" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }