Pricing
Pay per usage
Use natural language queries to retrieve results from an Apify dataset. This Actor provides a query engine that loads a dataset, executes SQL queries, and synthesizes results.
Pricing
Pay per usage
Rating
4.6
(5)
Developer
Jiří Spilka
Actor stats
6
Bookmarked
21
Total users
0
Monthly active users
10 months ago
Last modified
Categories
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You can access the Dataset Query Engine 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.
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The query can be in natural language or SQL format. For SQL, use the table name 'dataset'.\n\nExamples (when your dataset contains data scraped from Google Maps):\n- Find restaurant names with reviews above 4 and with at least 100 reviews.\n- SELECT title, totalScore, reviewsCount FROM dataset;" }, "datasetId": { "title": "Dataset ID", "type": "string", "description": "Dataset ID to retrieve data from." }, "modelName": { "title": "OpenAI model (OpenAI is the only supported provider now)", "enum": [ "gpt-4o-mini", "gpt-4o", "o3-mini" ], "type": "string", "description": "Specify the LLM for SQL generation and query synthesis. Currently supports OpenAI models with varying capabilities and performance characteristics.", "default": "gpt-4o-mini" }, "refreshDataset": { "title": "Refresh dataset", "type": "boolean", "description": "In standby mode, the dataset is loaded once and reused to optimize performance. This parameter allows reloading the dataset to ensure updated data is available.", "default": false }, "limit": { "title": "Limit number of dataset items used for query", "type": "integer", "description": "Maximum number of items to return. By default, there is no limit." }, "offset": { "title": "Number of items to skip from the start", "type": "integer", "description": "Number of items that should be skipped at the start. The default value is 0.", "default": 0 }, "useAgent": { "title": "Use AI Agent", "type": "boolean", "description": "When enabled, an AI Agent is used over a deterministic workflow. When to use an AI Agent? The agent can solve a broader range of tasks but can also be less reliable.", "default": true }, "debugMode": { "title": "Enable debug mode", "type": "boolean", "description": "When enabled, Actor will log additional debug messages from the Agent, including detailed reasoning steps.\n", "default": false } } }, "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.
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