You can access the Dataset Download 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

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=idiatech/apify-dataset-download",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Dataset Download

Get a ready-to-use configuration for your MCP client with the Dataset Download Actor preconfigured at mcp.apify.com?tools=idiatech/apify-dataset-download .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

XMLs To Dataset

mtrunkat/xmls-to-dataset

Go to actor anytime you need to download XML files and store them in the dataset.

Marek Trunkát

106

Dataset(s) To Schema

zuzka/dataset-to-schema

Takes a Dataset ID(s) and outputs a JSON schema of the contents of the dataset into key value store.

Zuzka Pelechová

Dataset Query Engine

jiri.spilka/dataset-query-engine

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.

Jiří Spilka

4.7

Google Dataset Items Translator

web.harvester/google-dataset-items-translator

Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translates all of the selected fields

Web Harvester

Dataset Processor in Python

drobnikj/dataset-processor-python

This actor utilizes Python to process the dataset.

Jakub Drobník

CSV File to Dataset

lukaskrivka/csv-file-to-dataset

Upload a local or remote CSV/text file and convert it to Apify Dataset for further use.

Lukáš Křivka

141

Sort Dataset Items

lukaskrivka/sort-dataset-items

Add this actor as a webhook to your scraper to sort the dataset by index field

Lukáš Křivka

Validate Dataset(s) with JSON Schema

jaroslavhejlek/validate-dataset-with-json-schema

This Actor validates items in one or more datasets against a provided JSON Schema. Use it if you planning to add a dataset validation schema to your actor and you want test it.

Jaroslav Hejlek

Append to dataset

valek.josef/append-to-dataset

Utility actor that allows you to build a single large dataset from individual default datasets of other actor runs.

Josef Válek

Natural Language Dataset Query

apify/natural-language-dataset-query

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.