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Easy Data Processor: Merge, Clean, and Transform Your Data

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Easy Data Processor: Merge, Clean, and Transform Your Data

Easy Data Processor: Merge, Clean, and Transform Your Data

dainty_screw/easy-data-processor-merge-clean-and-transform-your-data

Meet the Ultimate Data Processor, a human-friendly tool that simplifies your data tasks. With this Apify actor, you can merge datasets, remove duplicates, and transform data quickly and effortlessly, all in one go. Say goodbye to complex processes and hello to streamlined data management

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Maintained by Community

You can access the Easy Data Processor: Merge, Clean, and Transform Your Data 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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=dainty_screw/easy-data-processor-merge-clean-and-transform-your-data"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Easy Data Processor: Merge, Clean, and Transform Your Data via Model Context Protocol (MCP) server

MCP server lets you use Easy Data Processor: Merge, Clean, and Transform Your Data within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Easy Data Processor: Merge, Clean, and Transform Your Data Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "preDedupTransformFunction": "async (items, { Apify }) => {\\n    return items;\\n}",
8      "postDedupTransformFunction": "async (items, { Apify }) => {\\n    return items;\\n}",
9      "customInputData": {}
10},
11    "name": "dainty_screw/easy-data-processor-merge-clean-and-transform-your-data"
12  }
13}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Easy Data Processor: Merge, Clean, and Transform Your Data

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "dainty_screw/easy-data-processor-merge-clean-and-transform-your-data"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.