# Shopify Marketplace Sync Risk Checker (`charlieakan/shopify-collectibles-auditor`) Actor Find missing weights, SKUs, images, pricing, and product data issues before Shopify marketplace syncs fail. - **URL**: https://apify.com/charlieakan/shopify-collectibles-auditor.md - **Developed by:** [CharlieAKAN](https://apify.com/charlieakan) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / completed store audit 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Shopify Marketplace Sync Risk Checker Find missing weights, SKUs, images, prices, and product metadata issues before Shopify marketplace syncs fail. This Actor is built for Shopify sellers who push products into eBay, Google Merchant Center, CedCommerce-style integrations, marketplace feeds, or inventory tools. ### Why use it? Marketplace sync failures are annoying and expensive. A store can look fine to shoppers while still having product data problems that break feeds or reduce listing quality. This Actor scans a public Shopify storefront and produces a CSV-friendly audit of products most likely to need cleanup. ### What it checks - Missing or weak product titles - Missing condition / edition / issue / grade context for collectibles presets - Thin descriptions - Missing or single product images - Missing variants - Zero-price variants - Missing or zero shippable variant weights - Missing SKUs - Missing product type - Sparse tags ### Input ```json { "storeUrl": "https://example.myshopify.com", "maxProducts": 100, "includeProducts": true, "categoryPreset": "marketplace-sync" } ```` Presets: - `marketplace-sync` - `trading-cards` - `comics` - `general-collectibles` - `general-shopify` ### Output The dataset includes: 1. A `summary` row with store-level counts and score. 2. Product rows with score, issue counts, top fix, issue codes, and product URL. That makes the output usable directly as CSV. ### Local run ```bash npm install APIFY_PURGE_ON_START=0 npm run start:dev ``` Local input lives at: ```text storage/key_value_stores/default/INPUT.json ``` ### Notes This MVP uses Shopify's public `/products.json` endpoint. It does not require Shopify Admin API access. # Actor input Schema ## `storeUrl` (type: `string`): Public Shopify storefront URL, for example https://example.myshopify.com or https://store.example.com. ## `maxProducts` (type: `integer`): Maximum number of products to fetch from /products.json. Capped at 1000 for this MVP. ## `includeProducts` (type: `boolean`): If true, include per-product issue rows in the output dataset. Leave on for audits; turn off for summary-only runs. ## `categoryPreset` (type: `string`): Tune checks for the store type. Marketplace sync focuses on product data that breaks eBay/Google/CedCommerce-style feeds. ## Actor input object example ```json { "storeUrl": "https://v1hjw2-2n.myshopify.com", "maxProducts": 100, "includeProducts": true, "categoryPreset": "marketplace-sync" } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "storeUrl": "https://v1hjw2-2n.myshopify.com" }; // Run the Actor and wait for it to finish const run = await client.actor("charlieakan/shopify-collectibles-auditor").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "storeUrl": "https://v1hjw2-2n.myshopify.com" } # Run the Actor and wait for it to finish run = client.actor("charlieakan/shopify-collectibles-auditor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "storeUrl": "https://v1hjw2-2n.myshopify.com" }' | apify call charlieakan/shopify-collectibles-auditor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=charlieakan/shopify-collectibles-auditor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Marketplace Sync Risk Checker", "description": "Find missing weights, SKUs, images, pricing, and product data issues before Shopify marketplace syncs fail.", "version": "0.1", "x-build-id": "6ihwNnixr46zwYJ9F" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/charlieakan~shopify-collectibles-auditor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-charlieakan-shopify-collectibles-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/charlieakan~shopify-collectibles-auditor/runs": { "post": { "operationId": "runs-sync-charlieakan-shopify-collectibles-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/charlieakan~shopify-collectibles-auditor/run-sync": { "post": { "operationId": "run-sync-charlieakan-shopify-collectibles-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "storeUrl" ], "properties": { "storeUrl": { "title": "Shopify store URL", "type": "string", "description": "Public Shopify storefront URL, for example https://example.myshopify.com or https://store.example.com." }, "maxProducts": { "title": "Maximum products to scan", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of products to fetch from /products.json. Capped at 1000 for this MVP.", "default": 100 }, "includeProducts": { "title": "Include product-level audit details", "type": "boolean", "description": "If true, include per-product issue rows in the output dataset. Leave on for audits; turn off for summary-only runs.", "default": true }, "categoryPreset": { "title": "Audit preset", "enum": [ "marketplace-sync", "trading-cards", "comics", "general-collectibles", "general-shopify" ], "type": "string", "description": "Tune checks for the store type. Marketplace sync focuses on product data that breaks eBay/Google/CedCommerce-style feeds.", "default": "marketplace-sync" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```