# Audit Shopify stores for AI shopping readiness

**Use case:** 

Scores Shopify stores 0-100 on the catalogue data AI shopping assistants and product feeds rely on: valid GTIN barcodes, brand, product type, description length, image alt text and duplicate titles. Lists the top issues and example products for each store.

## Input

```json
{
  "stores": [
    "deathwishcoffee.com",
    "misen.com",
    "peakdesign.com",
    "magicspoon.com"
  ],
  "includeCatalogueRows": false,
  "includeAudit": true,
  "maxProductsPerStore": 250,
  "readAllProductDetails": false,
  "detailSampleSize": 20,
  "requestTimeoutSecs": 15
}
```

## Output

```json
{
  "store": {
    "label": "Store",
    "format": "string"
  },
  "readinessScore": {
    "label": "Readiness score (0-100)",
    "format": "integer"
  },
  "readinessGrade": {
    "label": "Grade",
    "format": "string"
  },
  "productsScanned": {
    "label": "Products scanned",
    "format": "integer"
  },
  "pctVariantsWithoutValidGtin": {
    "label": "% variants without valid GTIN",
    "format": "number"
  },
  "pctProductsMissingOrThinDescription": {
    "label": "% missing or thin description",
    "format": "number"
  },
  "pctProductsMissingProductType": {
    "label": "% missing product type",
    "format": "number"
  },
  "pctProductsMissingVendor": {
    "label": "% missing vendor",
    "format": "number"
  },
  "pctImagesMissingAlt": {
    "label": "% images missing alt",
    "format": "number"
  },
  "pctVariantsMissingSku": {
    "label": "% variants missing SKU",
    "format": "number"
  },
  "pctProductsDuplicateTitle": {
    "label": "% duplicate titles",
    "format": "number"
  },
  "pctProductsWithoutImages": {
    "label": "% products without images",
    "format": "number"
  },
  "detailSampleProducts": {
    "label": "Detail sample (products)",
    "format": "integer"
  },
  "catalogueComplete": {
    "label": "Catalogue complete",
    "format": "boolean"
  },
  "totalProductsKnown": {
    "label": "Total products known",
    "format": "integer"
  },
  "totalProductsKnownSource": {
    "label": "Total known from",
    "format": "string"
  },
  "productsRead": {
    "label": "Products read",
    "format": "integer"
  },
  "note": {
    "label": "Note",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Shopify Products Scraper & AI Shopping Readiness Audit Actor is ready to run with the inputs already set for "Audit Shopify stores for AI shopping readiness". [Sign up or log in](https://console.apify.com/create-task-from-example/3dDjy6hQMyWaINAQ7) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Audit Shopify stores for AI shopping readiness" task

The Shopify Products Scraper & AI Shopping Readiness Audit Actor will start running based on the input automatically. You can also change all the input fields, like shopify stores (domains or urls), include catalogue rows (one row per product), and more, to match your specific use case.

### 3. Receive the "Audit Shopify stores for AI shopping readiness" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as store, readiness score (0-100), grade, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Audit Shopify stores for AI shopping readiness" task via API](https://apify.com/yourevenings/shopify-catalogue-audit.md).

## About this Actor

This example demonstrates how to use [Shopify Products Scraper & AI Shopping Readiness Audit](https://apify.com/yourevenings/shopify-catalogue-audit.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/yourevenings/shopify-catalogue-audit.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/yourevenings/shopify-catalogue-audit.md

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`).