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Natural Language Dataset Query

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Natural Language Dataset Query

Natural Language Dataset Query

Developed by

Apify

Apify

Maintained by Community

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. It works as an MCP (Model Context Protocol) server or REST API in Actor standby mode.

0.0 (0)

Pricing

Pay per usage

0

Total users

1

Monthly users

0

Runs succeeded

>99%

Last modified

3 days ago

You can access the Natural Language Dataset Query 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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"servers": [
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"paths": {
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"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
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"name": "token",
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"schema": {
"type": "string"
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"description": "Enter your Apify token here"
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"title": "Query",
"type": "string",
"description": "Query for the LLM.",
"default": "What is the total number of pages containing the keyword 'apple'?"
},
"dataset": {
"title": "Dataset",
"type": "string",
"description": "ID of the dataset to query."
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"modelName": {
"title": "OpenAI model",
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"google/gemini-2.5-flash",
"google/gemini-2.0-flash-001",
"openai/gpt-4.1",
"openai/gpt-4.1-mini"
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"type": "string",
"description": "The OpenAI model to use. Currently supported models are Gemini 2.5 Flash, Gemini 2.0 Flash, GPT-4.1, and GPT-4.1 Mini.",
"default": "google/gemini-2.5-flash"
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"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
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"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": {
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"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
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"rebootCount": {
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"restartCount": {
"type": "integer",
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"resurrectCount": {
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"options": {
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"memoryMbytes": {
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"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
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"buildId": {
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"defaultKeyValueStoreId": {
"type": "string"
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"defaultDatasetId": {
"type": "string"
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"type": "string"
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"type": "integer",
"example": 0
},
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"example": 0
},
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"type": "integer",
"example": 0
},
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"example": 0
},
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"type": "integer",
"example": 0
},
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"type": "integer",
"example": 0
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}

Natural Language Dataset Query OpenAPI definition

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 Natural Language Dataset Query 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: