# Shopify Store Analyzer (Pay per Event) (`eiv/shopify-store-analyzer`) Actor Analyze any Shopify store in seconds. Detect 90+ installed apps, 19 analytics & ad pixels, theme, products, pricing, collections, social profiles, contact info, and payment methods. No browser — fast parallel HTTP. - **URL**: https://apify.com/eiv/shopify-store-analyzer.md - **Developed by:** [Eimantas V](https://apify.com/eiv) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 14.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results 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 Store Analyzer Extract comprehensive intelligence from any **Shopify store** in seconds — no browser, no proxies required. This Actor performs a parallel HTTP analysis of any Shopify-powered website and returns a structured **JSON dataset** covering installed apps, analytics pixels, products, theme, social links, contact info, pricing, and much more. Whether you're doing **competitive research**, building a **lead list of Shopify merchants**, or analyzing **ecommerce tech stacks**, this Actor delivers deep store intelligence at scale — fast and cost-efficiently. --- ### What can the Shopify Store Analyzer do? - **Detect 90+ installed Shopify apps** across 20+ categories (email, SMS, reviews, loyalty, subscriptions, chat, upsell, page builders, and more) - **Identify 19 analytics and ad pixels** including Meta Pixel, Google Analytics 4, TikTok Pixel, Pinterest Tag, Snapchat, LinkedIn Insight, Reddit Pixel, Criteo, and more - **Extract theme information** — name, ID, and Shopify theme store ID - **Scrape product catalog** — prices, vendors, product types, tags, variant counts, and a detailed sample - **Pull all collections, pages, and blogs** from the store's public API - **Detect payment methods** — Visa, Mastercard, PayPal, Shop Pay, Klarna, Afterpay, Affirm, Apple Pay, Google Pay, and more - **Extract social media profiles** — Instagram, Facebook, Twitter/X, YouTube, TikTok, Pinterest, LinkedIn, Snapchat - **Find contact details** — email addresses and phone numbers - **Check published policies** — refund, privacy, shipping, terms of service, and legal notice - **Parse JSON-LD structured data** from the homepage - **Works on any Shopify store** — branded domains, myshopify.com domains, headless Shopify stores #### Why use the Shopify Store Analyzer? Unlike browser-based scrapers, this Actor uses **direct HTTP requests to Shopify's public APIs** and the store's homepage — making it **5–10× faster** and significantly cheaper to run. No Playwright, no Chrome, no proxy required for most stores. With the **Apify platform**, you can: - Schedule store monitoring to track competitor changes over time - Plug results into Google Sheets, Airtable, or any CRM via integrations - Connect to Zapier, Make, or your own pipeline via the API - Run bulk analyses across thousands of Shopify stores in parallel --- ### What data does the Shopify Store Analyzer extract? | Category | Data Points | |---|---| | **Store** | Name, myshopify domain, primary domain, currency, money format, locale, country, shop ID | | **Theme** | Theme name, theme ID, Shopify theme store ID, role | | **Products** | Count, price range, average price, vendors, product types, tags, total variants, 20-item sample | | **Collections** | Count + full list with handles | | **Pages & Blogs** | Page count + titles, blog count + handles | | **Installed Apps** | Name, category, slug, detected via (script pattern) — 90+ signatures | | **Analytics Pixels** | Name, category, detected via — 19 tracker signatures | | **Payment Methods** | Visa, Mastercard, PayPal, Shop Pay, Apple Pay, Google Pay, Klarna, Afterpay, Affirm, and more | | **Social Links** | Instagram, Facebook, Twitter/X, YouTube, TikTok, Pinterest, LinkedIn, Snapchat | | **Contact** | Email address, phone number | | **Policies** | Refund, privacy, terms of service, shipping, legal notice (present/absent) | | **Metadata** | Page title, meta description, OG image, canonical URL, favicon, theme color | | **JSON-LD** | All structured data blocks from the homepage | | **Performance** | Total fetch time (ms), endpoints queried, endpoints succeeded | --- ### How to scrape a Shopify store #### Step 1 — Open the Actor Go to the **Input** tab in the Apify Console. #### Step 2 — Add store URLs Enter one or more Shopify store URLs in the **Store URLs** field. You can use branded domains (`https://gymshark.com`) or myshopify domains (`https://gymshark.myshopify.com`). #### Step 3 — Set max products (optional) The default is **250 products** (one API page). Increase to 5,000 for full catalog analysis, or drop to 10 for a quick tech-stack check. #### Step 4 — Run the Actor Click **Start**. Most single-store runs complete in **1–3 seconds**. #### Step 5 — Download your data Results are available as **JSON**, **CSV**, or **Excel** from the Storage tab, or via the Apify API. --- ### Input Configure the Actor from the **Input** tab in the Apify Console, or pass a JSON body to the API. ```json { "urls": [ "https://gymshark.com", "https://allbirds.com", "https://rothys.com" ], "maxProducts": 250 } ```` | Field | Type | Default | Description | |---|---|---|---| | `urls` | `string[]` | — | **Required.** One or more Shopify store URLs | | `maxProducts` | `integer` | `250` | Max products to fetch per store (1–5,000) | | `proxyConfiguration` | `object` | — | Optional Apify Proxy settings | *** ### Output Results are saved to the **Apify Dataset** as one JSON record per store. Here is a real example output: ```json { "url": "https://gymshark.com", "scrapedAt": "2025-01-15T10:23:41.882Z", "isShopify": true, "store": { "name": "Gymshark", "myshopifyDomain": "gymshark.myshopify.com", "primaryDomain": "gymshark.com", "currency": "GBP", "moneyFormat": "£{{amount}}", "locale": "en", "country": "GB" }, "theme": { "name": "Prestige", "id": 133770387565, "themeStoreId": 580, "role": "main" }, "products": { "fetched": 250, "hasMore": true, "priceRange": { "min": 18.00, "max": 70.00 }, "avgPrice": 38.50, "vendors": ["Gymshark"], "productTypes": ["Shorts", "T-Shirts", "Leggings", "Hoodies"], "tags": ["mens", "womens", "training", "lifting", "running"], "totalVariants": 2847, "sample": [ { "id": 7823912345, "title": "Vital Seamless 2.0 Leggings", "vendor": "Gymshark", "productType": "Leggings", "handle": "vital-seamless-2-0-leggings", "price": 45.00, "compareAtPrice": null, "variantCount": 12, "imageCount": 6, "tags": ["womens", "seamless", "training"], "availableForSale": true, "createdAt": "2023-08-01T09:00:00Z" } ] }, "collections": { "count": 42, "list": [ { "id": 123456789, "handle": "mens", "title": "Men's", "updatedAt": "2025-01-10T12:00:00Z" } ] }, "pages": { "count": 14, "titles": ["About Us", "Sustainability", "Size Guide", "Contact"] }, "blogs": { "count": 2, "handles": ["news", "athlete-stories"] }, "policies": { "refund": true, "privacy": true, "termsOfService": true, "shipping": true, "legalNotice": false }, "apps": [ { "name": "Klaviyo", "slug": "klaviyo", "category": "email_sms_marketing", "detectedVia": "klaviyo.com" }, { "name": "Yotpo", "slug": "yotpo", "category": "reviews", "detectedVia": "staticw2.yotpo.com" }, { "name": "Gorgias", "slug": "gorgias", "category": "customer_support", "detectedVia": "config.gorgias.chat" }, { "name": "Smile.io", "slug": "smile", "category": "loyalty", "detectedVia": "cdn.smile.io" }, { "name": "Rebuy", "slug": "rebuy", "category": "personalization_upsell", "detectedVia": "rebuyengine.com" } ], "pixels": [ { "name": "Google Analytics 4", "category": "analytics", "detectedVia": "googletagmanager.com" }, { "name": "Meta Pixel", "category": "paid_social", "detectedVia": "connect.facebook.net/en_US/fbevents" }, { "name": "TikTok Pixel", "category": "paid_social", "detectedVia": "analytics.tiktok.com" }, { "name": "Hotjar", "category": "heatmaps_analytics", "detectedVia": "static.hotjar.com" } ], "social": { "instagram": "https://www.instagram.com/gymshark/", "facebook": "https://www.facebook.com/Gymshark", "twitter": "https://twitter.com/gymshark", "youtube": "https://www.youtube.com/gymshark", "tiktok": "https://www.tiktok.com/@gymshark", "pinterest": null, "linkedin": "https://www.linkedin.com/company/gymshark", "snapchat": null }, "contact": { "email": "support@gymshark.com", "phone": null }, "paymentMethods": ["American Express", "Apple Pay", "Google Pay", "Mastercard", "PayPal", "Shop Pay", "Visa"], "performance": { "totalTimeMs": 1842, "endpointsQueried": 5, "endpointsSucceeded": 5 } } ``` *** ### Use cases **Competitor intelligence** — Track what apps and pixels your competitors are using. Know when they add a loyalty program, switch email providers, or start running TikTok ads. **Sales prospecting** — Build targeted lists of Shopify merchants filtered by app stack (e.g., stores using Klaviyo + Recharge = high-intent subscription brand targets). **Market research** — Analyze pricing strategies, product catalog size, and payment method adoption across a segment. **Agency pitching** — Identify stores missing key tools (no reviews app, no live chat, no SMS) as outreach hooks. **Investment due diligence** — Validate claims about store scale, product range, and tech sophistication. *** ### Other Actors you might find useful | Actor | What it does | |---|---| | [**Meta Ads Library Scraper**](https://console.apify.com/actors/7utCWNseUb44VvYu3) | Scrape Facebook and Instagram ads by keyword or page URL — copy, CTA, reach, targeting, and delivery dates | | [**Website Brand Extractor**](https://console.apify.com/actors/9n5ak6ClwMnlsbxN6) | Extract logos, brand colors, fonts, favicon, social links, and OG metadata from any website | | [**Pinterest Scraper**](https://console.apify.com/actors/yLoirSPyhDp8eWmiu) | Scrape Pinterest pins by keyword or URL — images, saves, comments, board details, and dominant colors | > **Pro tip:** Combine the Shopify Store Analyzer with the Website Brand Extractor to get a complete brand intelligence package — tech stack + visual identity — in a single pipeline. *** ### Is it legal to scrape Shopify stores? This Actor only accesses **publicly available data** — the same data any visitor sees when browsing a store. It uses Shopify's public JSON endpoints (`/products.json`, `/collections.json`, etc.) and the store homepage. We recommend: - Reviewing the target store's **Terms of Service** and **robots.txt** before large-scale scraping - Not using scraped data to spam or harass store owners - Complying with **GDPR** and relevant data protection regulations in your jurisdiction For a detailed overview of web scraping legality, see [Apify's guide on web scraping legality](https://apify.com/legal/web-scraping-legality). *** ### FAQ #### Does this work on all Shopify stores? Yes — any store powered by Shopify exposes the public endpoints this Actor uses. This includes headless Shopify stores, stores with custom domains, and Shopify Plus merchants. #### Do I need a proxy? No proxy is required for most stores. Shopify's public endpoints are not IP-restricted. For very large bulk runs, you can optionally enable Apify Proxy in the input settings. #### How fast is it? Typical single-store analysis completes in **1–3 seconds**. The Actor fires all HTTP requests in parallel and does not render a browser. #### Can I export to CSV or Excel? Yes. Use the **Export** button in the Apify Dataset view, or call the [Apify API](https://docs.apify.com/api/v2) with `?format=csv` or `?format=xlsx`. #### Can I integrate this with Zapier or Make? Yes — use the Apify integration available on both [Zapier](https://zapier.com/apps/apify/integrations) and [Make](https://www.make.com/en/integrations/apify) to trigger workflows when new store data is scraped. *** ### Support - Questions about usage? Use the **Discussion** tab on the Actor page # Actor input Schema ## `urls` (type: `array`): List of Shopify store URLs to analyze (e.g. https://allbirds.com). ## `maxProducts` (type: `integer`): Maximum number of products to retrieve per store (250 per page). ## `proxyConfiguration` (type: `object`): Optional Apify Proxy settings. ## Actor input object example ```json { "urls": [ "https://gymshark.com" ], "maxProducts": 250 } ``` # Actor output Schema ## `storeData` (type: `string`): Full store analysis records including apps, pixels, products, theme, social links, contact info, policies, and payment methods. # 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 = { "urls": [ "https://gymshark.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("eiv/shopify-store-analyzer").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 = { "urls": ["https://gymshark.com"] } # Run the Actor and wait for it to finish run = client.actor("eiv/shopify-store-analyzer").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 '{ "urls": [ "https://gymshark.com" ] }' | apify call eiv/shopify-store-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=eiv/shopify-store-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Store Analyzer (Pay per Event)", "description": "Analyze any Shopify store in seconds. Detect 90+ installed apps, 19 analytics & ad pixels, theme, products, pricing, collections, social profiles, contact info, and payment methods. No browser — fast parallel HTTP.", "version": "0.0", "x-build-id": "vfVUWWQLjL1RsyQpa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/eiv~shopify-store-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-eiv-shopify-store-analyzer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/eiv~shopify-store-analyzer/runs": { "post": { "operationId": "runs-sync-eiv-shopify-store-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/eiv~shopify-store-analyzer/run-sync": { "post": { "operationId": "run-sync-eiv-shopify-store-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Store URLs", "type": "array", "description": "List of Shopify store URLs to analyze (e.g. https://allbirds.com).", "items": { "type": "string" } }, "maxProducts": { "title": "Max Products to Fetch", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of products to retrieve per store (250 per page).", "default": 250 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify Proxy settings." } } }, "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 } } } } } } } } } } ```