# Metaworld Data Cleaner (`metaworldsystems/metaworld-data-cleaner`) Actor

Messy CSV in — validated, deduplicated, typed records out, with a data-quality report naming every rejected row and why.

- **URL**: https://apify.com/metaworldsystems/metaworld-data-cleaner.md
- **Developed by:** [Metaworld Systems](https://apify.com/metaworldsystems) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 2 total users, 0 monthly users, 33.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Metaworld Data Cleaner

**Messy CSV in → validated, deduplicated, typed records out — with a data-quality report that names every rejected row and why.**

Small-business data is never clean. This Actor is the boring, reliable step you actually want before anything touches your CRM, ledger, or dashboard: it validates, normalizes, and deduplicates a CSV, then hands you a clean dataset plus a report you can show a stakeholder.

Built and maintained by [Metaworld Systems](https://metaworld.systems).

### What it does

- **Normalizes** every field — trims whitespace, strips control characters, and standardizes dates (`YYYY-MM-DD`), phone numbers (`(727) 450-9666`), and currency (`1234.50`) based on the column name.
- **Validates** rows against required columns you choose — anything missing a required value is rejected, not silently dropped.
- **Deduplicates** on a key column, with optional *latest-wins* survivorship using a timestamp column.
- **Reports** — a quality report is written to the key-value store (`QUALITY_REPORT`) listing row counts and every rejected row with the reason.

### Input

| Field | Description |
|---|---|
| `csvUrl` | Public URL of a CSV to clean. |
| `csvText` | Or paste raw CSV (with a header row). |
| `requiredColumns` | Rows missing any of these are rejected. |
| `dedupeKey` | Column used to detect duplicates (optional). |
| `timestampColumn` | When deduping, keep the newest row by this column. |

Provide **either** `csvUrl` **or** `csvText`.

### Output

- **Dataset** — one item per cleaned, validated, deduplicated row (export as CSV, JSON, or Excel).
- **Key-value store `QUALITY_REPORT`** — `rows_in`, `rows_cleaned`, `rows_rejected`, and the full list of rejected rows with reasons.

### Example

Input `csvText`:

````

order\_id,customer,order\_date,amount,phone
1001, Acme Co ,2026-1-3,$1,299.00,7274509666
1001,Acme Co,01/03/2026,1299,(727) 450-9666
1002,,2026-02-15,89.5,555 123 4567

````

With `requiredColumns=["order_id","customer"]`, `dedupeKey="order_id"`, `timestampColumn="order_date"`:

- Row 1002 is **rejected** (missing `customer`).
- The two `1001` rows collapse to **one** (latest-wins).
- Dates become `2026-01-03`, amount becomes `1299.00`, phone becomes `(727) 450-9666`.

### Why this one

We don't sell you the happy path. The value is the report that tells you exactly which rows failed and why — so you fix your data instead of finding out downstream. Same pattern we run in production for our own operations.

*All processing happens inside the Actor run; nothing is stored or shared beyond your run's own storages.*

# Actor input Schema

## `csvUrl` (type: `string`):

Public URL of a CSV file to clean. Use this OR paste CSV text below.
## `csvText` (type: `string`):

Paste raw CSV content here (used when no URL is provided). Must include a header row.
## `requiredColumns` (type: `array`):

Any row missing a value in one of these columns is rejected (and reported).
## `dedupeKey` (type: `string`):

Column used to detect duplicate rows. Leave blank to skip deduplication.
## `timestampColumn` (type: `string`):

When deduplicating, keep the row with the newest value in this column.

## Actor input object example

```json
{
  "csvUrl": "https://example.com/orders.csv",
  "csvText": "name,email,phone,amount,signup_date\nAda Lovelace,ada@example.com,555-123-4567,1200.5,2024-01-15\nAlan Turing,ALAN@example.com,(555) 987 6543,980,03/22/2024\nAda Lovelace,ada@example.com,5551234567,1200.50,2024-02-01\nGrace Hopper,,555.222.3333,,2024-04-10\n",
  "requiredColumns": [
    "email"
  ],
  "dedupeKey": "email",
  "timestampColumn": "signup_date"
}
````

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "csvText": `name,email,phone,amount,signup_date
Ada Lovelace,ada@example.com,555-123-4567,1200.5,2024-01-15
Alan Turing,ALAN@example.com,(555) 987 6543,980,03/22/2024
Ada Lovelace,ada@example.com,5551234567,1200.50,2024-02-01
Grace Hopper,,555.222.3333,,2024-04-10`,
    "requiredColumns": [
        "email"
    ],
    "dedupeKey": "email",
    "timestampColumn": "signup_date"
};

// Run the Actor and wait for it to finish
const run = await client.actor("metaworldsystems/metaworld-data-cleaner").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "csvText": """name,email,phone,amount,signup_date
Ada Lovelace,ada@example.com,555-123-4567,1200.5,2024-01-15
Alan Turing,ALAN@example.com,(555) 987 6543,980,03/22/2024
Ada Lovelace,ada@example.com,5551234567,1200.50,2024-02-01
Grace Hopper,,555.222.3333,,2024-04-10
""",
    "requiredColumns": ["email"],
    "dedupeKey": "email",
    "timestampColumn": "signup_date",
}

# Run the Actor and wait for it to finish
run = client.actor("metaworldsystems/metaworld-data-cleaner").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "csvText": "name,email,phone,amount,signup_date\\nAda Lovelace,ada@example.com,555-123-4567,1200.5,2024-01-15\\nAlan Turing,ALAN@example.com,(555) 987 6543,980,03/22/2024\\nAda Lovelace,ada@example.com,5551234567,1200.50,2024-02-01\\nGrace Hopper,,555.222.3333,,2024-04-10\\n",
  "requiredColumns": [
    "email"
  ],
  "dedupeKey": "email",
  "timestampColumn": "signup_date"
}' |
apify call metaworldsystems/metaworld-data-cleaner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=metaworldsystems/metaworld-data-cleaner",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Metaworld Data Cleaner",
        "description": "Messy CSV in — validated, deduplicated, typed records out, with a data-quality report naming every rejected row and why.",
        "version": "0.1",
        "x-build-id": "Zaq70jvDThMSuvxby"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/metaworldsystems~metaworld-data-cleaner/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-metaworldsystems-metaworld-data-cleaner",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/metaworldsystems~metaworld-data-cleaner/runs": {
            "post": {
                "operationId": "runs-sync-metaworldsystems-metaworld-data-cleaner",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/metaworldsystems~metaworld-data-cleaner/run-sync": {
            "post": {
                "operationId": "run-sync-metaworldsystems-metaworld-data-cleaner",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "csvUrl": {
                        "title": "CSV URL",
                        "type": "string",
                        "description": "Public URL of a CSV file to clean. Use this OR paste CSV text below."
                    },
                    "csvText": {
                        "title": "CSV text",
                        "type": "string",
                        "description": "Paste raw CSV content here (used when no URL is provided). Must include a header row."
                    },
                    "requiredColumns": {
                        "title": "Required columns",
                        "type": "array",
                        "description": "Any row missing a value in one of these columns is rejected (and reported).",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "dedupeKey": {
                        "title": "Deduplicate on column",
                        "type": "string",
                        "description": "Column used to detect duplicate rows. Leave blank to skip deduplication."
                    },
                    "timestampColumn": {
                        "title": "Timestamp column (latest wins)",
                        "type": "string",
                        "description": "When deduplicating, keep the row with the newest value in this column."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```