Google Trends Scraper
Pricing
from $2.50 / 1,000 trend results
Google Trends Scraper
Extract Real-Time Trends, Historical Data, Regional Demand, and Related Queries. Native proxy rotation bypasses rate limits. Pay-per-result pricing.
Google Trends Scraper
Pricing
from $2.50 / 1,000 trend results
Extract Real-Time Trends, Historical Data, Regional Demand, and Related Queries. Native proxy rotation bypasses rate limits. Pay-per-result pricing.
You can access the Google Trends Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Required for all types except 'trending_now'. For 'related_*', only the first keyword is used.", "default": [ "Web scraping" ], "items": { "type": "string" } }, "timeframe_type": { "title": "Timeframe Type", "enum": [ "predefined", "custom" ], "type": "string", "description": "Use a predefined timeframe or a custom range.", "default": "predefined" }, "predefined_timeframe": { "title": "Predefined 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": "Common timeframes used by Google Trends.", "default": "today 12-m" }, "custom_timeframe": { "title": "Custom Timeframe", "type": "string", "description": "Custom date range (e.g., '2023-01-01 2023-06-30') or hourly." }, "geo_selection_type": { "title": "Geographic Selection Type", "enum": [ "Common Countries", "Custom Geo Code" ], "type": "string", "description": "Choose between a common country code or a custom geo code.", "default": "Common Countries" }, "common_geo": { "title": "Common Country (2-letter code)", "type": "string", "description": "Two-letter country code like 'US', 'GB', 'DE'. Leave empty for global.", "default": "US" }, "custom_geo_code": { "title": "Custom Geo Code", "type": "string", "description": "Specific geo code (e.g., 'US-CA' for California).", "default": "" }, "gprop": { "title": "Search Property (gprop)", "enum": [ "web", "images", "news", "shopping", "youtube" ], "type": "string", "description": "Filter by Google service.", "default": "web" }, "geo_resolution": { "title": "Geographic Resolution (for interest_by_region)", "enum": [ "COUNTRY", "REGION", "DMA", "CITY" ], "type": "string", "description": "Controls the level of geographic detail.", "default": "COUNTRY" }, "inc_low_vol": { "title": "Include Low Volume Regions", "type": "boolean", "description": "Include regions with low search volume. (Warning: high event output).", "default": false }, "trending_language": { "title": "Trending Now: Language", "type": "string", "description": "Language code for realtime trending (e.g., 'en', 'es').", "default": "en" }, "trending_hours": { "title": "Trending Now: Hours", "minimum": 1, "maximum": 191, "type": "integer", "description": "Time window (1-191 hours) for realtime trending.", "default": 24 }, "max_events": { "title": "Maximum events to output", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Caps the number of items yielded. Default 100 costs ~$0.25. Limit to 10 for a $0.025 test run!", "default": 100 }, "acknowledge_costs": { "title": "Acknowledge High Volume Runs", "type": "boolean", "description": "Check this box if you plan to extract >1000 items ($2.40+) in a single run.", "default": false }, "debug_mode": { "title": "Debug Mode", "type": "boolean", "description": "Enable verbose logging and save raw HTML/responses to Apify Key-Value Store on failure.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy (Residential) is used automatically inside the actor code. Leave default." } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Google Trends Scraper from the options below:
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