Google Trends Scraper
Pricing
from $1.00 / 1,000 results
Go to Apify Store
Google Trends Scraper
Extract trend data from Google Trends: interest over time, interest by region, daily trending searches, and real-time trends — no login required.
Google Trends Scraper
Pricing
from $1.00 / 1,000 results
Extract trend data from Google Trends: interest over time, interest by region, daily trending searches, and real-time trends — no login required.
You can access the Google Trends Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "9bgGEO7wuOXScK635" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maged120~google-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maged120-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/maged120~google-trends-scraper/runs": { "post": { "operationId": "runs-sync-maged120-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/maged120~google-trends-scraper/run-sync": { "post": { "operationId": "run-sync-maged120-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Search terms to analyze (max 5 for comparison).", "default": [ "artificial intelligence" ], "items": { "type": "string" } }, "dataTypes": { "title": "Data Types to Fetch", "type": "array", "description": "Select which Google Trends data types to collect.", "items": { "type": "string", "enum": [ "interestOverTime", "interestByRegion" ] }, "default": [ "interestOverTime", "interestByRegion" ] }, "geo": { "title": "Country / Region", "type": "string", "description": "ISO 3166-1 alpha-2 country code (e.g. US, GB, DE). Leave empty for worldwide data. Use ISO 3166-2 for sub-regions (e.g. US-NY for New York).", "default": "" }, "timeframe": { "title": "Timeframe", "enum": [ "past_hour", "past_4_hours", "past_day", "past_7_days", "past_30_days", "past_90_days", "past_12_months", "past_5_years", "2004_to_present", "custom" ], "type": "string", "description": "Time range for trend data. Use 'custom' to specify an exact date range below.", "default": "past_30_days" }, "customTimeframe": { "title": "Custom Date Range", "type": "string", "description": "Custom date range in 'YYYY-MM-DD YYYY-MM-DD' format (e.g. '2020-01-01 2023-12-31'). Only applies when Timeframe is set to 'Custom date range'.", "default": "" }, "category": { "title": "Category", "enum": [ "0", "57", "71", "13", "903", "7", "543", "8", "174", "766", "11", "31", "958", "275", "179", "65", "276", "328", "19" ], "type": "string", "description": "Filter results to a specific Google Trends category. Defaults to All categories.", "default": "0" }, "gprop": { "title": "Search Type", "enum": [ "web", "images", "news", "youtube", "shopping" ], "type": "string", "description": "Google property to filter results by search type.", "default": "web" }, "regionResolution": { "title": "Regional Breakdown", "enum": [ "COUNTRY", "REGION", "DMA", "CITY" ], "type": "string", "description": "Geographic resolution for Interest by Region data. COUNTRY works worldwide; REGION/DMA/CITY require a specific geo.", "default": "COUNTRY" }, "language": { "title": "Language", "type": "string", "description": "Language for results as a BCP 47 tag (e.g. en-US, de-DE, fr-FR, ja-JP, zh-CN). Affects labels and related content language.", "default": "en-US" }, "timezoneOffset": { "title": "Timezone Offset (minutes)", "minimum": -720, "maximum": 840, "type": "integer", "description": "UTC offset in minutes. Affects timeframe boundaries. Examples: -300 = EST (UTC-5), 0 = UTC, 60 = CET (UTC+1), 330 = IST (UTC+5:30).", "default": 0 }, "maxRetries": { "title": "Max Retries per Request", "minimum": 0, "maximum": 10, "type": "integer", "description": "Maximum number of retry attempts for failed API requests.", "default": 3 }, "retryDelayMs": { "title": "Retry Base Delay (ms)", "minimum": 0, "maximum": 30000, "type": "integer", "description": "Base delay in milliseconds between retry attempts. Each retry multiplies this by the attempt number (exponential backoff).", "default": 2000 }, "requestDelayMs": { "title": "Request Delay (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay in milliseconds between consecutive API calls to avoid rate limiting.", "default": 1000 } } }, "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:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: