# Unit Price Checker for Grocery & Retail Listings (`ultimatemc/unit-price-checker`) Actor

Check grocery and retail product data for unit price problems: parses sizes like 6 x 330 ml, 12 fl oz or 1.5 kg, recomputes the price per kg, litre or item, and flags missing or wrong unit prices, unit prices left on the old price, and Germany's per 1 kg / 1 l rule.

- **URL**: https://apify.com/ultimatemc/unit-price-checker.md
- **Developed by:** [Ultimate Foresight Inc](https://apify.com/ultimatemc) (community)
- **Categories:** E-commerce, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

Check **grocery and retail product data for unit price problems**. The **Unit Price Checker** parses pack sizes like **"6 x 330 ml"**, **"12 pack 12 fl oz"**, **"1.5kg"** or **"500 g (pack of 4)"**, recomputes the **price per kg, litre, 100 g or item**, and flags **missing unit prices**, **unit prices that don't match** the selling price, **unit prices still based on the old price** during a promotion, and **Germany's per 1 kg / 1 l rule** under PAngV §4. Works with **Tesco, Coles, Woolworths, Aldi, Lidl, Rewe, Carrefour, Walmart and Kroger** scraper output. Click **Start** with the prefilled example to see it work.

> This is an automated check of the price and size data you supply. Sizes are parsed from text and can be misread, and unit-pricing rules differ by country and US state. Findings are possible gaps, not a legal determination. Not legal advice; every row carries this disclaimer and a timestamp.

### What does the Unit Price Checker do?

- ✅ **Unit price mismatch**: the shown unit price differs from price divided by size by more than your tolerance (2% by default; high above 5%).
- ✅ **Unit price from the old price**: the unit price matches the regular or 'was' price instead of the current price.
- ✅ **Missing unit price**: medium in EU, UK and DE markets, where it's required for goods sold by weight or volume; low elsewhere.
- ✅ **Basis mismatch** (e.g. a per-kg unit price on a product sold by the litre) and **Germany's PAngV §4** rule that unit prices use 1 kg or 1 l (not 100 g) since May 28, 2022.
- ✅ **Size parsing** for metric and US units, multipacks and counts, with the parsed size in the output so you can spot misreads.
- ✅ Output per row: `price`, `sizeParsed`, `shownUnitPrice`, `computedUnitPrice`, `computedUnitPriceBasis`, `riskLevel`, `issueCount`, `categoriesFlagged`, `issues` (`ruleId`, `severity`, `message`, `quote`, `sourceUrl`, `fixHint`), `checkedAt` and a disclaimer.

### Who is it for?

- **Grocery and retail e-commerce teams** checking catalog feeds before they go live.
- **Price comparison and grocery data companies** cleaning scraped price data.
- **Consumer groups and journalists** looking for misleading unit prices and promotions.
- **Retail analysts** comparing value per kg or litre across stores.

### How to check unit prices in product data

1. Click **Start** with the prefilled example (a wrong per-kg price, a correct multipack, a German per-100 g price, a promo using the old price and a US pack with no unit price).
2. Replace **Products** with your own: `title`, `price`, optional `size`, `unitPrice` as shown, `regularPrice` and `market`.
3. Or enter a **Dataset ID** from a supermarket scraper; use **Field map** for fields like `CupString` or `PackageSize`.
4. Set **Default market** and **Mismatch tolerance** if needed, and turn on **Only save rows with findings** to pay only for problem rows.
5. Export results as CSV, Excel or JSON, or fetch them through the API.

### Input example

This is the prefilled input:

```json
{
  "products": [
    {
      "id": "EXAMPLE-RICE",
      "title": "Example basmati rice 1.5kg",
      "price": 4.5,
      "unitPrice": "£3.50/kg",
      "market": "UK"
    },
    {
      "id": "EXAMPLE-COLA",
      "title": "Example cola 6 x 330ml",
      "price": "€3.96",
      "unitPrice": "€2.00 / l",
      "market": "FR"
    },
    {
      "id": "EXAMPLE-COFFEE",
      "title": "Example ground coffee 500 g",
      "price": "5,99 €",
      "unitPrice": "1,20 € / 100 g",
      "market": "DE"
    },
    {
      "id": "EXAMPLE-CEREAL",
      "title": "Example corn flakes 500g",
      "price": 2.0,
      "regularPrice": 3.0,
      "unitPrice": "£6.00/kg",
      "market": "UK"
    },
    {
      "id": "EXAMPLE-WATER",
      "title": "Example sparkling water, 12 pack 12 fl oz cans",
      "price": 5.49,
      "market": "US"
    }
  ]
}
```

Dataset mode:

```json
{"datasetId": "YOUR_DATASET_ID", "fieldMap": {"unitPrice": "CupString", "size": "PackageSize", "title": "DisplayName"}, "market": "AU", "onlyFlagged": true}
```

### Output example

Real output from a run of the prefilled input on 2026-11-01 (long finding lists are shortened here; the run returns all of them):

```json
[
  {
    "itemNo": 1,
    "productId": "EXAMPLE-RICE",
    "title": "Example basmati rice 1.5kg",
    "price": 4.5,
    "sizeParsed": "1.5kg",
    "netQuantity": 1500,
    "baseUnit": "g",
    "shownUnitPrice": {
      "amount": 3.5,
      "basisQty": 1000,
      "base": "g",
      "label": "per kg"
    },
    "computedUnitPrice": 3,
    "computedUnitPriceBasis": "per kg",
    "market": "UK",
    "riskLevel": "high",
    "issueCount": 1,
    "categoriesFlagged": [
      "unit_price_mismatch"
    ],
    "issues": [
      {
        "ruleId": "unit_price_mismatch",
        "severity": "high",
        "message": "Shown unit price 3.50 per kg differs by +16.7% from price 4.5 / size 1.5kg = 3.00 per kg.",
        "sourceUrl": "https://www.legislation.gov.uk/uksi/2004/102/contents",
        "fixHint": "Check the net quantity and recompute the unit price."
      }
    ],
    "url": null,
    "checkedAt": "2026-11-01T19:35:04+00:00",
    "disclaimer": "Automated check of the price and size data supplied. Sizes are parsed from text and can..."
  },
  {
    "itemNo": 2,
    "productId": "EXAMPLE-COLA",
    "title": "Example cola 6 x 330ml",
    "price": 3.96,
    "sizeParsed": "6 x 330 ml",
    "netQuantity": 1980,
    "baseUnit": "ml",
    "shownUnitPrice": {
      "amount": 2,
      "basisQty": 1000,
      "base": "ml",
      "label": "per l"
    },
    "computedUnitPrice": 2,
    "computedUnitPriceBasis": "per l",
    "market": "FR",
    "riskLevel": "none found",
    "issueCount": 0,
    "categoriesFlagged": [],
    "issues": [],
    "url": null,
    "checkedAt": "2026-11-01T19:35:04+00:00",
    "disclaimer": "Automated check of the price and size data supplied. Sizes are parsed from text and can..."
  },
  {
    "itemNo": 3,
    "productId": "EXAMPLE-COFFEE",
    "title": "Example ground coffee 500 g",
    "price": 5.99,
    "sizeParsed": "500 g",
    "netQuantity": 500,
    "baseUnit": "g",
    "shownUnitPrice": {
      "amount": 1.2,
      "basisQty": 100,
      "base": "g",
      "label": "per 100 g"
    },
    "computedUnitPrice": 1.198,
    "computedUnitPriceBasis": "per 100 g",
    "market": "DE",
    "riskLevel": "medium",
    "issueCount": 1,
    "categoriesFlagged": [
      "unit_basis_not_allowed_de"
    ],
    "issues": [
      {
        "ruleId": "unit_basis_not_allowed_de",
        "severity": "medium",
        "message": "Unit price is given per 100 g. Since May 28, 2022 Germany's PAngV §4 requires the price per 1 kg or 1 l (per 100 g / 100 ml is no longer allowed).",
        "sourceUrl": "https://www.gesetze-im-internet.de/pangv_2022/__4.html",
        "fixHint": "Show the price per 1 kg."
      }
    ],
    "url": null,
    "checkedAt": "2026-11-01T19:35:04+00:00",
    "disclaimer": "Automated check of the price and size data supplied. Sizes are parsed from text and can..."
  },
  {
    "itemNo": 4,
    "productId": "EXAMPLE-CEREAL",
    "title": "Example corn flakes 500g",
    "price": 2,
    "sizeParsed": "500g",
    "netQuantity": 500,
    "baseUnit": "g",
    "shownUnitPrice": {
      "amount": 6,
      "basisQty": 1000,
      "base": "g",
      "label": "per kg"
    },
    "computedUnitPrice": 4,
    "computedUnitPriceBasis": "per kg",
    "market": "UK",
    "riskLevel": "high",
    "issueCount": 1,
    "categoriesFlagged": [
      "unit_price_from_old_price"
    ],
    "issues": [
      {
        "ruleId": "unit_price_from_old_price",
        "severity": "high",
        "message": "Shown unit price 6.00 per kg matches the regular price 3, not the current price 2 (expected about 4.00). The unit price should follow the selling price.",
        "sourceUrl": "https://www.legislation.gov.uk/uksi/2004/102/contents",
        "fixHint": "Update the unit price to 4.00 per kg."
      }
    ],
    "url": null,
    "checkedAt": "2026-11-01T19:35:04+00:00",
    "disclaimer": "Automated check of the price and size data supplied. Sizes are parsed from text and can..."
  },
  {
    "itemNo": 5,
    "productId": "EXAMPLE-WATER",
    "title": "Example sparkling water, 12 pack 12 fl oz cans",
    "price": 5.49,
    "sizeParsed": "12 x 12 fl oz",
    "netQuantity": 4258.5883,
    "baseUnit": "ml",
    "shownUnitPrice": null,
    "computedUnitPrice": 1.2892,
    "computedUnitPriceBasis": "per l",
    "market": "US",
    "riskLevel": "low",
    "issueCount": 1,
    "categoriesFlagged": [
      "unit_price_missing"
    ],
    "issues": [
      {
        "ruleId": "unit_price_missing",
        "severity": "low",
        "message": "No unit price shown. Many US states require or regulate unit pricing (NIST Handbook 130 Uniform Unit Pricing Regulation); it's also how shoppers compare sizes.",
        "sourceUrl": "https://www.nist.gov/pml/owm/nist-handbook-130-current-edition",
        "fixHint": "Show the unit price, e.g. 1.29 per l."
      }
    ],
    "url": null,
    "checkedAt": "2026-11-01T19:35:04+00:00",
    "disclaimer": "Automated check of the price and size data supplied. Sizes are parsed from text and can..."
  }
]
```

### How much does it cost to check unit prices?

This Actor uses pay-per-event pricing: **$0.001 per product saved** plus a **$0.00005 start fee per run**, plus small platform usage paid by you (a few hundredths of a cent for small runs). That's about **$1.00 for 1,000 products** and **$10.00 for 10,000** plus usage. With **Only save rows with findings** on, rows without findings aren't saved or charged. You can set a maximum cost per run in the run options.

### Use it through the API, integrations or AI agents

- Run it and get results in one call: `https://api.apify.com/v2/acts/ultimatemc~unit-price-checker/run-sync-get-dataset-items`
- Use it from AI agents through the Apify MCP server: `https://mcp.apify.com?tools=ultimatemc/unit-price-checker`
- Schedule it after a daily scraper run, send flagged rows to Slack or email with webhooks, or connect it to Make, Zapier, n8n or Google Sheets.
- Chain it after a supermarket scraper by passing the scraper's dataset ID.

### How it works

Prices and sizes are parsed from numbers or text in any common format ("£1.20/kg", "2,49 €/1 kg", "$0.18/fl oz"), converted to a common unit, and compared. Rules were written from the EU Price Indication Directive, the UK Price Marking Order, Germany's PAngV §4 and NIST Handbook 130, checked on 2026-11-01. No AI and no external calls.

Sources:

- [EUR-Lex: Directive 98/6/EC on price indication](https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:31998L0006)
- [legislation.gov.uk: The Price Marking Order 2004](https://www.legislation.gov.uk/uksi/2004/102/contents)
- [gesetze-im-internet.de: PAngV §4 Grundpreis](https://www.gesetze-im-internet.de/pangv_2022/__4.html)
- [NIST: Handbook 130, current edition](https://www.nist.gov/pml/owm/nist-handbook-130-current-edition)

### FAQ

#### Is unit pricing required in the US?

There's no federal rule; some states and cities require it and NIST Handbook 130 gives a model regulation. US rows missing a unit price get a low note.

#### Why is a German per-100 g price flagged?

Since May 28, 2022 PAngV §4 requires the unit price per 1 kg or 1 l in Germany (exceptions apply, for example for some small items).

#### What if the size isn't in my data?

The checker looks for it in the title too. If it can't find one, the row gets a 'size not found' note.

#### Can I loosen the comparison?

Yes. Set **Mismatch tolerance (%)** to allow for rounding.

#### Is it AI?

No. It's a fixed set of rules, so the same input always gives the same result.

### Limitations

- Sizes are parsed from text and can be misread on unusual formats; check `sizeParsed`.
- Drained weight, per-wash or per-sheet bases aren't computed.
- Country rules are simplified to the main cases.

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Found a false positive? Open an issue on the **Issues** tab with the product data and what you expected, and we'll review the rule.

# Actor input Schema

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

Array of objects with "title" and "price", plus optional "size" (e.g. "500 g", "6 x 330 ml"), "unitPrice" as shown (e.g. "£1.20/kg", "2,49 €/1 kg", "$0.18/fl oz"), "regularPrice", "market" (e.g. DE, FR, UK, US), "id" and "url". The prefilled example shows common problems next to a correct listing; replace it with your own.

## `titles` (type: `array`):

One product title per entry (size parsing only; no price checks).

## `market` (type: `string`):

Two-letter country code used when a row has no market field (e.g. DE, FR, UK, US). EU/UK markets get stricter severities; DE adds the per 1 kg / 1 l check.

## `tolerancePct` (type: `number`):

How far the shown unit price may differ from the computed one before it's flagged (rounding).

## `datasetId` (type: `string`):

Apify dataset with products, for example the output of a Tesco, Coles, Woolworths, Aldi, Lidl, Rewe, Carrefour, Walmart or Kroger scraper. Common fields (price, wasPrice, unitPrice, CupString, packageSize) are detected automatically; override them with Field map.

## `fieldMap` (type: `object`):

Override field names; dotted paths work for nested fields. Example: {"unitPrice": "CupString", "size": "PackageSize", "title": "DisplayName"}.

## `onlyFlagged` (type: `boolean`):

Skip products with no findings (you are only charged for saved rows).

## `maxItems` (type: `integer`):

Maximum number of products to check in this run.

## Actor input object example

```json
{
  "products": [
    {
      "id": "EXAMPLE-RICE",
      "title": "Example basmati rice 1.5kg",
      "price": 4.5,
      "unitPrice": "£3.50/kg",
      "market": "UK"
    },
    {
      "id": "EXAMPLE-COLA",
      "title": "Example cola 6 x 330ml",
      "price": "€3.96",
      "unitPrice": "€2.00 / l",
      "market": "FR"
    },
    {
      "id": "EXAMPLE-COFFEE",
      "title": "Example ground coffee 500 g",
      "price": "5,99 €",
      "unitPrice": "1,20 € / 100 g",
      "market": "DE"
    },
    {
      "id": "EXAMPLE-CEREAL",
      "title": "Example corn flakes 500g",
      "price": 2,
      "regularPrice": 3,
      "unitPrice": "£6.00/kg",
      "market": "UK"
    },
    {
      "id": "EXAMPLE-WATER",
      "title": "Example sparkling water, 12 pack 12 fl oz cans",
      "price": 5.49,
      "market": "US"
    }
  ],
  "tolerancePct": 2,
  "onlyFlagged": false,
  "maxItems": 20000
}
```

# Actor output Schema

## `results` (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": [
        {
            "id": "EXAMPLE-RICE",
            "title": "Example basmati rice 1.5kg",
            "price": 4.5,
            "unitPrice": "£3.50/kg",
            "market": "UK"
        },
        {
            "id": "EXAMPLE-COLA",
            "title": "Example cola 6 x 330ml",
            "price": "€3.96",
            "unitPrice": "€2.00 / l",
            "market": "FR"
        },
        {
            "id": "EXAMPLE-COFFEE",
            "title": "Example ground coffee 500 g",
            "price": "5,99 €",
            "unitPrice": "1,20 € / 100 g",
            "market": "DE"
        },
        {
            "id": "EXAMPLE-CEREAL",
            "title": "Example corn flakes 500g",
            "price": 2,
            "regularPrice": 3,
            "unitPrice": "£6.00/kg",
            "market": "UK"
        },
        {
            "id": "EXAMPLE-WATER",
            "title": "Example sparkling water, 12 pack 12 fl oz cans",
            "price": 5.49,
            "market": "US"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ultimatemc/unit-price-checker").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": [
        {
            "id": "EXAMPLE-RICE",
            "title": "Example basmati rice 1.5kg",
            "price": 4.5,
            "unitPrice": "£3.50/kg",
            "market": "UK",
        },
        {
            "id": "EXAMPLE-COLA",
            "title": "Example cola 6 x 330ml",
            "price": "€3.96",
            "unitPrice": "€2.00 / l",
            "market": "FR",
        },
        {
            "id": "EXAMPLE-COFFEE",
            "title": "Example ground coffee 500 g",
            "price": "5,99 €",
            "unitPrice": "1,20 € / 100 g",
            "market": "DE",
        },
        {
            "id": "EXAMPLE-CEREAL",
            "title": "Example corn flakes 500g",
            "price": 2,
            "regularPrice": 3,
            "unitPrice": "£6.00/kg",
            "market": "UK",
        },
        {
            "id": "EXAMPLE-WATER",
            "title": "Example sparkling water, 12 pack 12 fl oz cans",
            "price": 5.49,
            "market": "US",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ultimatemc/unit-price-checker").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": [
    {
      "id": "EXAMPLE-RICE",
      "title": "Example basmati rice 1.5kg",
      "price": 4.5,
      "unitPrice": "£3.50/kg",
      "market": "UK"
    },
    {
      "id": "EXAMPLE-COLA",
      "title": "Example cola 6 x 330ml",
      "price": "€3.96",
      "unitPrice": "€2.00 / l",
      "market": "FR"
    },
    {
      "id": "EXAMPLE-COFFEE",
      "title": "Example ground coffee 500 g",
      "price": "5,99 €",
      "unitPrice": "1,20 € / 100 g",
      "market": "DE"
    },
    {
      "id": "EXAMPLE-CEREAL",
      "title": "Example corn flakes 500g",
      "price": 2,
      "regularPrice": 3,
      "unitPrice": "£6.00/kg",
      "market": "UK"
    },
    {
      "id": "EXAMPLE-WATER",
      "title": "Example sparkling water, 12 pack 12 fl oz cans",
      "price": 5.49,
      "market": "US"
    }
  ]
}' |
apify call ultimatemc/unit-price-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ultimatemc/unit-price-checker"
        }
    }
}
```

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/6mAhYinsZoorV7r6Q/builds/7Ph0VWqJrvDKZAKUz/openapi.json