Pricing

Pay per usage

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Natural Language Dataset Query

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Developed by

Apify

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

Last modified

12 days ago

MCP servers

Open source

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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "modelName": "google/gemini-2.5-flash" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("apify/natural-language-dataset-query").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Natural Language Dataset Query API in Python

The Apify API client for Python is the official library that allows you to use Natural Language Dataset Query API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Natural Language Dataset Query API in JavaScript

Natural Language Dataset Query API through CLI

Natural Language Dataset Query OpenAPI definition

Natural Language Dataset Query API

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