# Merchant Feed Doctor - Shopify & Google Feed Auditor (`coffee_cryolite/merchant-feed-doctor`) Actor

Audit Shopify and Google Merchant CSV catalogs for duplicate SKUs, missing data, invalid prices, links and availability. Export a cleaned CSV.

- **URL**: https://apify.com/coffee_cryolite/merchant-feed-doctor.md
- **Developed by:** [ari](https://apify.com/coffee_cryolite) (community)
- **Categories:** E-commerce
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## Merchant Feed Doctor — Shopify & Google Merchant Feed QA

Audit a CSV export or JSON product array. Detect missing product fields, invalid availability, broken prices, repeated IDs, title/description problems, suspicious GTIN values, and URL formatting. Produce **SUMMARY.json**, **CLEANED_FEED.csv**, and one structured row per input product in the Apify dataset. Repairs are intentionally conservative: trim whitespace, normalize availability, and optionally remove duplicate IDs. No claim of official Google Merchant certification; merchant accounts and policies may require additional checks.

### Input

Paste CSV into `csvText` or send an array to `products`. Supports Shopify headings (`Variant Price`, `Image Src`, `Handle`, `Body (HTML)`) and Merchant headings (`price`, `image_link`, `id`, `description`). For Shopify multiple variants, include the SKU/Variant SKU to distinguish them. `csvText` and `products` are alternatives; CSV wins if both supplied.

### Output

Dataset: one row per product with issue codes, severity, and prepared fields. Key-value store: `SUMMARY` (JSON) and `CLEANED_FEED` (CSV). The cleaned feed needs human review before uploading. No live links are fetched or checked in version 0.1.

### Pricing and limitations

Not publicly listed or monetized yet. No promises of sales. Does not submit feeds to Shopify or Google. No account credentials required. For small/medium product catalogs. CSV input is pasted text, not file uploads. Image URLs are syntactically checked, not fetched.

# Actor input Schema

## `csvText` (type: `string`):

Paste a CSV product export with headers.

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

Alternative to CSV: an array of product JSON objects.

## `maxProducts` (type: `integer`):

Maximum records processed in one execution.

## `removeDuplicates` (type: `boolean`):

Keep only first occurrence of each product ID in cleaned output.

## Actor input object example

```json
{
  "maxProducts": 1000,
  "removeDuplicates": true
}
```

# Actor output Schema

## `records` (type: `string`):

No description

## `summary` (type: `string`):

No description

## `cleanedFeed` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("coffee_cryolite/merchant-feed-doctor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("coffee_cryolite/merchant-feed-doctor").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 '{}' |
apify call coffee_cryolite/merchant-feed-doctor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,coffee_cryolite/merchant-feed-doctor"
        }
    }
}
```

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/G6Dem3zdCYOF8nbGz/builds/gzbFjfN7cfu1wC4b1/openapi.json