# Pet Food Label Checker: 95%, Dinner & With Rules (`ultimatemc/pet-food-name-checker`) Actor

Check dog and cat food names against the ingredient list using the AAFCO naming rules FDA describes: 95% names not led by the named meat, 'Lamb and Rice Dog Food', dinner names out of order, 'with' ingredients after salt, flavor with no source, grain free with grain, natural with BHA.

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

## Pricing

from $2.00 / 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 **dog and cat food product names** against the **ingredient list** using the **AAFCO naming rules described by the US FDA**: the **95% rule** ('Beef Dog Food'), the **25% 'dinner' rule** ('Chicken Formula'), the **3% 'with' rule** ('Cat Food with Tuna') and the **'flavor' rule**. The **Pet Food Label Checker** also flags **'grain free' products with grains** and **'natural' products with BHA, BHT or artificial colors**. Works on **Chewy, Petco, Zooplus, Amazon and Walmart scraper output**. Click **Start** with the prefilled example to see it work.

> This is an automated comparison of the product name, claims and ingredient list you supply, not a legal determination. It can't see formula percentages, so ingredient-position checks are heuristics. A clean result doesn't mean a label complies. Not legal or veterinary advice; every row carries this disclaimer and a timestamp.

### What does the Pet Food Label Checker do?

- ✅ **Name rule detection**: 95% (simple names), 25% (dinner, formula, recipe, entrée, platter, nuggets), 3% ('with') or flavor, shown in `nameRule`.
- ✅ **95% names** where the named meat isn't the first ingredient (apart from water or broth), or that include plant ingredients like 'Lamb and Rice Dog Food'.
- ✅ **Order and presence**: named ingredients out of ingredient-list order, or missing from the list.
- ✅ **After-salt heuristic**: a 'dinner' or 'with' ingredient listed after salt, which is usually around 1% or less.
- ✅ **Flavor names** with no matching flavor source (digest, meal, broth).
- ✅ **Grain free** claims with wheat, corn, rice, barley, oats and other grains, and **natural** claims with BHA, BHT, ethoxyquin or artificial colors.
- ✅ Output per row: `nameRule`, `namedIngredients`, `ingredientPositions`, `inScope`, `riskLevel`, `issueCount`, `issues` (`ruleId`, `severity`, `message`, `quote`, `sourceUrl`, `fixHint`), `checkedAt` and a disclaimer.

### Who is it for?

- **Pet food brands and co-packers** checking product names and listings.
- **Pet retailers and marketplaces** screening catalogs in bulk.
- **Pet food review sites and researchers** comparing names with ingredients.
- **Agencies** writing pet food product copy.

### How to check pet food names against ingredients

1. Click **Start** with the prefilled example (a 'Beef Dog Food' led by chicken, 'Lamb and Rice Dog Food', a grain-free recipe with brown rice and a clean chicken formula).
2. Replace the input with your own: `title` (the product name) and `ingredients`, with optional `description` and `claims`.
3. Or enter a **Dataset ID** from a Chewy, Petco, Zooplus, Amazon or Walmart scraper. Common fields are detected automatically; use **Field map** for nested ones.
4. Turn on **Only save rows with findings** to skip clean rows; you only pay for saved 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-BEEF",
      "title": "Example Beef Dog Food, 13 oz cans",
      "ingredients": "Chicken, beef, water sufficient for processing, guar gum, vitamins"
    },
    {
      "id": "EXAMPLE-LAMB",
      "title": "Example Lamb and Rice Dog Food",
      "ingredients": "Lamb, brown rice, chicken meal, salt, vitamins"
    },
    {
      "id": "EXAMPLE-SALMON",
      "title": "Example Grain Free Salmon Recipe Dog Food",
      "ingredients": "Salmon, peas, brown rice, potato, salt"
    },
    {
      "id": "EXAMPLE-CHICKEN",
      "title": "Example Chicken Formula Cat Food",
      "ingredients": "Chicken, chicken meal, brown rice, salt, taurine"
    }
  ]
}
```

Dataset mode:

```json
{"datasetId": "YOUR_DATASET_ID", "fieldMap": {"ingredients": "specifications.Ingredients"}, "onlyFlagged": true}
```

### Output example

Real output from a run of the prefilled input on 2026-11-03 (long finding lists are shortened here; the run returns all of them):

```json
[
  {
    "itemNo": 1,
    "productId": "EXAMPLE-BEEF",
    "title": "Example Beef Dog Food, 13 oz cans",
    "nameRule": "95%",
    "namedIngredients": [
      "beef"
    ],
    "ingredientPositions": {
      "beef": 2
    },
    "inScope": true,
    "riskLevel": "high",
    "issueCount": 1,
    "issues": [
      {
        "ruleId": "named_ingredient_not_first",
        "severity": "high",
        "message": "Name implies the 95% rule ('beef' with no qualifier like dinner, formula or with), but the first ingredient (apart from water or broth) is 'chicken'. Under the 95% rule the named ingredient should be listed first, since ingredients are listed by weight.",
        "quote": "Example Beef Dog Food, 13 oz cans | first ingredient: chicken",
        "sourceUrl": "https://www.fda.gov/animal-veterinary/animal-health-literacy/pet-food-labels-general",
        "fixHint": "Check the recipe or add a qualifier such as 'dinner', 'formula' or 'with'."
      }
    ],
    "url": null,
    "checkedAt": "2026-11-03T19:48:04+00:00",
    "disclaimer": "Automated comparison of the product name, claims and ingredient list supplied with the..."
  },
  {
    "itemNo": 2,
    "productId": "EXAMPLE-LAMB",
    "title": "Example Lamb and Rice Dog Food",
    "nameRule": "95%",
    "namedIngredients": [
      "lamb",
      "rice"
    ],
    "ingredientPositions": {
      "lamb": 1,
      "rice": 2
    },
    "inScope": true,
    "riskLevel": "high",
    "issueCount": 1,
    "issues": [
      {
        "ruleId": "non_animal_in_95_name",
        "severity": "high",
        "message": "The product name uses the 95% rule form (e.g. 'Lamb and Rice Dog Food') and includes a non-animal ingredient (rice). Only ingredients of animal origin count toward the 95%, so FDA gives 'Lamb and Rice Dog Food' as an example that would be misbranded unless it were at least 95% lamb.",
        "quote": "Example Lamb and Rice Dog Food",
        "sourceUrl": "https://www.fda.gov/animal-veterinary/animal-health-literacy/pet-food-labels-general",
        "fixHint": "Use a qualifying term such as 'Lamb and Rice Formula' (25% rule) if that's accurate."
      }
    ],
    "url": null,
    "checkedAt": "2026-11-03T19:48:04+00:00",
    "disclaimer": "Automated comparison of the product name, claims and ingredient list supplied with the..."
  },
  {
    "itemNo": 3,
    "productId": "EXAMPLE-SALMON",
    "title": "Example Grain Free Salmon Recipe Dog Food",
    "nameRule": "25% dinner",
    "namedIngredients": [
      "salmon"
    ],
    "ingredientPositions": {
      "salmon": 1
    },
    "inScope": true,
    "riskLevel": "high",
    "issueCount": 1,
    "issues": [
      {
        "ruleId": "grain_free_with_grain",
        "severity": "high",
        "message": "Labeled grain free, but the ingredients include grain: brown rice. A label that's false or misleading in any particular makes food (including animal food) misbranded (21 U.S.C. 343(a)(1)).",
        "quote": "brown rice",
        "sourceUrl": "https://www.law.cornell.edu/uscode/text/21/343",
        "fixHint": "Remove the claim or the grain ingredient."
      }
    ],
    "url": null,
    "checkedAt": "2026-11-03T19:48:04+00:00",
    "disclaimer": "Automated comparison of the product name, claims and ingredient list supplied with the..."
  },
  {
    "itemNo": 4,
    "productId": "EXAMPLE-CHICKEN",
    "title": "Example Chicken Formula Cat Food",
    "nameRule": "25% dinner",
    "namedIngredients": [
      "chicken"
    ],
    "ingredientPositions": {
      "chicken": 1
    },
    "inScope": true,
    "riskLevel": "none found",
    "issueCount": 0,
    "issues": [],
    "url": null,
    "checkedAt": "2026-11-03T19:48:04+00:00",
    "disclaimer": "Automated comparison of the product name, claims and ingredient list supplied with the..."
  }
]
```

### How much does it cost to check pet food labels?

This Actor uses pay-per-event pricing: **$0.002 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 **$2.00 for 1,000 products** and **$20.00 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~pet-food-name-checker/run-sync-get-dataset-items`
- Use it from AI agents through the Apify MCP server: `https://mcp.apify.com?tools=ultimatemc/pet-food-name-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 any pet store scraper by passing the scraper's dataset ID.

### How it works

Checks are deterministic rules written from FDA's 'Pet Food Labels - General' guidance, which summarises the AAFCO model naming rules, and from 21 U.S.C. 343(a) (false or misleading labeling), checked on 2026-11-03. Ingredient lists are split by commas and named ingredients are matched by position. No AI and no external calls.

Sources:

- [FDA: Pet Food Labels - General](https://www.fda.gov/animal-veterinary/animal-health-literacy/pet-food-labels-general)
- [21 U.S.C. 343, misbranded food](https://www.law.cornell.edu/uscode/text/21/343)

### FAQ

#### What's the difference between 'Beef Dog Food' and 'Dog Food with Beef'?

Per FDA's summary of the AAFCO rules, 'Beef Dog Food' needs at least 95% beef (not counting water for processing), 'Beef Dinner' 25%, 'with Beef' 3%, and 'Beef Flavor' only a detectable amount.

#### Does it know the real percentages?

No. Ingredient lists are in order by weight, so position is used as evidence; the after-salt check is a heuristic.

#### Does it cover EU pet food rules?

No. It uses the US/AAFCO naming rules only.

#### Is it AI?

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

### Limitations

- Ingredient names and order only; no percentages unless the name rule makes position decisive.
- English names only.
- State feed laws and AAFCO model regulations themselves aren't reproduced.

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

# Actor input Schema

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

Array of objects with "title" (the product name), "ingredients" and optional "description", "claims", "id" and "url". The prefilled example shows common problems next to a clean listing; replace it with your own.

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

One product title per entry.

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

Apify dataset with pet food products, for example the output of a Chewy, Petco, Zooplus, Amazon or Walmart scraper, or Open Pet Food Facts exports. Common fields (title, ingredients, description) are detected automatically; override them with Field map.

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

Override field names; dotted paths work for nested fields. Example: {"ingredients": "specifications.Ingredients"}.

## `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-BEEF",
      "title": "Example Beef Dog Food, 13 oz cans",
      "ingredients": "Chicken, beef, water sufficient for processing, guar gum, vitamins"
    },
    {
      "id": "EXAMPLE-LAMB",
      "title": "Example Lamb and Rice Dog Food",
      "ingredients": "Lamb, brown rice, chicken meal, salt, vitamins"
    },
    {
      "id": "EXAMPLE-SALMON",
      "title": "Example Grain Free Salmon Recipe Dog Food",
      "ingredients": "Salmon, peas, brown rice, potato, salt"
    },
    {
      "id": "EXAMPLE-CHICKEN",
      "title": "Example Chicken Formula Cat Food",
      "ingredients": "Chicken, chicken meal, brown rice, salt, taurine"
    }
  ],
  "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-BEEF",
            "title": "Example Beef Dog Food, 13 oz cans",
            "ingredients": "Chicken, beef, water sufficient for processing, guar gum, vitamins"
        },
        {
            "id": "EXAMPLE-LAMB",
            "title": "Example Lamb and Rice Dog Food",
            "ingredients": "Lamb, brown rice, chicken meal, salt, vitamins"
        },
        {
            "id": "EXAMPLE-SALMON",
            "title": "Example Grain Free Salmon Recipe Dog Food",
            "ingredients": "Salmon, peas, brown rice, potato, salt"
        },
        {
            "id": "EXAMPLE-CHICKEN",
            "title": "Example Chicken Formula Cat Food",
            "ingredients": "Chicken, chicken meal, brown rice, salt, taurine"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ultimatemc/pet-food-name-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-BEEF",
            "title": "Example Beef Dog Food, 13 oz cans",
            "ingredients": "Chicken, beef, water sufficient for processing, guar gum, vitamins",
        },
        {
            "id": "EXAMPLE-LAMB",
            "title": "Example Lamb and Rice Dog Food",
            "ingredients": "Lamb, brown rice, chicken meal, salt, vitamins",
        },
        {
            "id": "EXAMPLE-SALMON",
            "title": "Example Grain Free Salmon Recipe Dog Food",
            "ingredients": "Salmon, peas, brown rice, potato, salt",
        },
        {
            "id": "EXAMPLE-CHICKEN",
            "title": "Example Chicken Formula Cat Food",
            "ingredients": "Chicken, chicken meal, brown rice, salt, taurine",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ultimatemc/pet-food-name-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-BEEF",
      "title": "Example Beef Dog Food, 13 oz cans",
      "ingredients": "Chicken, beef, water sufficient for processing, guar gum, vitamins"
    },
    {
      "id": "EXAMPLE-LAMB",
      "title": "Example Lamb and Rice Dog Food",
      "ingredients": "Lamb, brown rice, chicken meal, salt, vitamins"
    },
    {
      "id": "EXAMPLE-SALMON",
      "title": "Example Grain Free Salmon Recipe Dog Food",
      "ingredients": "Salmon, peas, brown rice, potato, salt"
    },
    {
      "id": "EXAMPLE-CHICKEN",
      "title": "Example Chicken Formula Cat Food",
      "ingredients": "Chicken, chicken meal, brown rice, salt, taurine"
    }
  ]
}' |
apify call ultimatemc/pet-food-name-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ultimatemc/pet-food-name-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/hNMONrtcoisdbho7V/builds/IAZKsvza8QjJOcrfa/openapi.json