You can access the Merge, Dedup & Transform Datasets 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/sse?actors=lukaskrivka/dedup-datasets",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Merge, Dedup & Transform Datasets

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=lukaskrivka/dedup-datasets along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=lukaskrivka/dedup-datasets",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

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.

Batch Runner

useful-tools/batch-runner

Actor for starting several Runs from single Input. It also has capability to merge the Dataset items from the created batch.

Useful tools

5.0

LLM Dataset Processor

dusan.vystrcil/llm-dataset-processor

Allows you to process output of other actors or stored dataset with single LLM prompt. It's useful if you need to enrich data, summarize content, extract specific information, or manipulate data in a structured way using AI.

Dušan Vystrčil

Storage Cleaner

useful-tools/storage-cleaner

Storage cleaner is a tool to delete all your Storage types (Datasets, Key-Value storages and Request queues) on your Apify user account based on the amount of days since they were last accessed.

Useful tools

Forward Dataset to Actor or Task

valek.josef/forward-dataset-to-actor-or-task

Forwards contents of specified dataset to a specified field on the input of another Actor or task.

Josef Válek

Google Sheets Import & Export

lukaskrivka/google-sheets

Import data from datasets or JSON files to Google Sheets. Programmatically process data in Sheets. Easier and faster than the official Google Sheets API and perfect for importing data from scraping.

Lukáš Křivka

1.5K

5.0

Apify Run Queue

lexis-solutions/apify-run-queue

Apify utility to queue runs until memory is available. Workaround to memory exceeded errors on Apify. This actor will retry starting actor starts with a delay. Open source and free!