# Product Data Normalizer & Price Cleaner (`victor187/product-data-normalizer`) Actor

Cleans and standardizes messy scraped product data: parses prices from any format, detects currency, normalizes stock status. Built for e-commerce, price monitoring, price comparison and web scraping pipelines that need clean structured JSON, not raw messy text.

- **URL**: https://apify.com/victor187/product-data-normalizer.md
- **Developed by:** [victor](https://apify.com/victor187) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Product Data Normalizer

Turn messy scraped product data into clean, structured JSON — automatically.

If you scrape prices, listings, or catalogs, you know the pain: prices come as `"29,99€"`, `"$14.50"`, or `"1.234,56€"`, and availability shows up as free text in a dozen different phrasings across sources. This Actor takes that mess and returns consistent, ready-to-use data every time.

### What it does

- **Parses prices** from any common format (European `1.234,56€`, US `1,234.56$`, symbols, ISO codes) into a clean numeric value + currency code.
- **Detects availability** ("En stock", "Sold out", "Agotado", "Available now"...) and returns a simple `true` / `false`.
- **Cleans product names** (trims whitespace, fixes spacing issues).
- Keeps the original raw record alongside the cleaned one, so you can always verify the conversion.

### Input

```json
{
  "products": [
    { "name": "  Wireless Mouse  ", "price": "29,99€", "availability": "En stock" },
    { "name": "USB-C Hub", "price": "$14.50", "availability": "Out of stock" }
  ],
  "defaultCurrency": "EUR"
}
```

### Output

```json
{
  "name": "Wireless Mouse",
  "price": 29.99,
  "currency": "EUR",
  "in_stock": true,
  "url": null,
  "raw": { "name": "  Wireless Mouse  ", "price": "29,99€", "availability": "En stock" }
}
```

### Who this is for

- Developers feeding scraped data into price-comparison tools or dashboards
- Teams merging product feeds from multiple sources with inconsistent formatting
- AI agents that need clean structured product data as part of a larger pipeline

### Pricing

Pay per use — no subscription:

- $0.01 per run
- $0.004 per product normalized

Feed it 1,000 messy records, get back 1,000 clean ones, for a few dollars.

# Actor input Schema

## `products` (type: `array`):

Array of raw product records to clean. Each item can have any of: name/title, price (as messy text), availability (as messy text), url (optional).

## `defaultCurrency` (type: `string`):

Currency to assume when no symbol is detected in the price text.

## Actor input object example

```json
{
  "products": [
    {
      "name": "  Auriculares Bluetooth XYZ  ",
      "price": "29,99€",
      "availability": "En stock"
    },
    {
      "name": "Wireless Mouse Pro",
      "price": "$14.50",
      "availability": "Out of stock"
    }
  ],
  "defaultCurrency": "EUR"
}
```

# Actor output Schema

## `cleanedProducts` (type: `string`):

No description

# 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 = {
    "products": [
        {
            "name": "  Auriculares Bluetooth XYZ  ",
            "price": "29,99€",
            "availability": "En stock"
        },
        {
            "name": "Wireless Mouse Pro",
            "price": "$14.50",
            "availability": "Out of stock"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("victor187/product-data-normalizer").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 = { "products": [
        {
            "name": "  Auriculares Bluetooth XYZ  ",
            "price": "29,99€",
            "availability": "En stock",
        },
        {
            "name": "Wireless Mouse Pro",
            "price": "$14.50",
            "availability": "Out of stock",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("victor187/product-data-normalizer").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "products": [
    {
      "name": "  Auriculares Bluetooth XYZ  ",
      "price": "29,99€",
      "availability": "En stock"
    },
    {
      "name": "Wireless Mouse Pro",
      "price": "$14.50",
      "availability": "Out of stock"
    }
  ]
}' |
apify call victor187/product-data-normalizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,victor187/product-data-normalizer"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/sulxZS0LbHb7sGT6K/builds/jodvgsmGVpHYflPjG/openapi.json