apify_dataset_items

Pack: apify · Endpoint: https://gateway.pipeworx.io/apify/mcp

Fetch items from an existing Apify dataset (e.g. the output of a prior Actor run). Example: apify_dataset_items({ datasetId: “abc123”, limit: 50, _apiKey: “your-token” }).

Parameters

NameTypeRequiredDescription
datasetIdstringyesThe dataset ID (or username~dataset-name). Returned as defaultDatasetId from an Actor run.
limitnumbernoMaximum number of items to return. Default 100 (Apify itself has no default limit; we cap for readability).
offsetnumbernoNumber of items to skip from the start. Default 0.
cleanbooleannoIf true (default), return only non-empty items and skip hidden fields.
_apiKeystringyesYour Apify API token (get one at https://console.apify.com/sign-up).

Example call

Arguments

{
  "datasetId": "abc123xyz",
  "_apiKey": "your-apify-api-key"
}

curl

curl -X POST https://gateway.pipeworx.io/apify/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"apify_dataset_items","arguments":{"datasetId":"abc123xyz","_apiKey":"your-apify-api-key"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('apify_dataset_items', {
  "datasetId": "abc123xyz",
  "_apiKey": "your-apify-api-key"
});

More examples

{
  "datasetId": "apify~my-dataset",
  "limit": 50,
  "offset": 0,
  "clean": true,
  "_apiKey": "your-apify-api-key"
}

Connect

Add this to your MCP client config, or use one-click install buttons:

{
  "mcpServers": {
    "apify": {
      "url": "https://gateway.pipeworx.io/apify/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

Regenerated from source · build August 29, 2026