# 🛍️ Shopify App Store Scraper — App Research & Competitor Intel (`nexgendata/shopify-app-store-scraper`) Actor Extract Shopify App Store data: app listings, reviews, pricing plans & ratings. Search by keyword or category. Tracker mode analyzes competitor app stacks. 10x cheaper than manual research. Built for e-commerce managers & Shopify app developers. - **URL**: https://apify.com/nexgendata/shopify-app-store-scraper.md - **Developed by:** [Stephan Corbeil](https://apify.com/nexgendata) (community) - **Categories:** E-commerce, AI - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 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 App Store Scraper -- Complete App Research & Competitive Analytics Extract comprehensive data from the Shopify App Store at scale. Whether you are an e-commerce agency scouting the competitive landscape, an app developer researching market gaps, or a Shopify merchant evaluating tools, this actor delivers structured data from apps.shopify.com in minutes -- not hours. **Get app listings, detailed metadata, user reviews, pricing plans, and competitive intelligence with a single API call.** ### Key Features - **Keyword Search** -- Search the Shopify App Store by any keyword and extract all matching app listings with titles, descriptions, ratings, review counts, and direct URLs. - **Category Browsing** -- Scrape entire app categories (e.g., Marketing, Sales, Customer Service) to map the competitive landscape for any vertical. - **Full App Details** -- Extract deep metadata for any app: developer info, pricing tiers, feature lists, screenshots, integration partners, and installation counts. - **Review Collection** -- Pull user reviews at scale with ratings, review text, author info, date posted, and helpful vote counts for sentiment analysis. - **Pricing Plan Extraction** -- Capture every pricing tier including free plans, trials, and usage-based billing so you can benchmark competitor monetization. - **Tracker Mode** -- Enable automated monitoring with rating trend analysis, pricing distribution charts, and competitive shift detection over time. - **Flexible Output** -- Export results as JSON, CSV, or Excel. Push directly to Google Sheets, webhooks, or any downstream system via Apify integrations. ### Output Example Each result contains rich structured data. Here is an example from the app details mode: ```json { "name": "Klaviyo: Email Marketing & SMS", "developer": "Klaviyo", "averageRating": 4.6, "reviewCount": 1892, "pricingPlans": [ { "name": "Free", "price": "$0/mo", "features": ["250 contacts", "500 email sends", "Built-in CDP"] }, { "name": "Email", "price": "$20/mo", "features": ["Up to 500 contacts", "Unlimited sends", "A/B testing"] } ], "categories": ["Email marketing", "Marketing automation"], "url": "https://apps.shopify.com/klaviyo-email-marketing", "description": "Power smarter digital relationships with Klaviyo...", "lastUpdated": "2025-12-15", "installCount": "100,000+" } ```` ### How to Use 1. **Choose your scrape mode** -- Select `search` (keyword search), `app_details` (single app deep dive), `app_reviews` (review extraction), or `category` (browse by category). 2. **Set your input parameters** -- Provide a search keyword, app URL, or category slug depending on your chosen mode. Optionally set `maxResults` to control output volume. 3. **Run the actor** -- Click "Start" in the Apify Console or trigger via the API. Results appear in the default dataset within seconds. 4. **Export or integrate** -- Download results as JSON/CSV, connect to Google Sheets, or use webhooks to push data into your analytics pipeline automatically. ### Integration Examples **Python SDK** ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("nexgendata/shopify-app-store-scraper").call( run_input={ "mode": "search", "query": "email marketing", "maxResults": 50 } ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["name"], item["averageRating"]) ``` **cURL** ```bash curl "https://api.apify.com/v2/acts/nexgendata~shopify-app-store-scraper/runs?token=YOUR_API_TOKEN" \ -X POST \ -H "Content-Type: application/json" \ -d '{"mode": "search", "query": "email marketing", "maxResults": 50}' ``` ### Use Cases - **App Developers** -- Research the competitive landscape before building a new Shopify app. Identify underserved categories, pricing benchmarks, and feature gaps to inform your product roadmap. - **E-commerce Agencies** -- Evaluate and compare apps across categories to recommend the best tools to your Shopify merchant clients. Build data-driven app stack proposals. - **Shopify Merchants** -- Compare apps side-by-side using real review data and pricing breakdowns instead of relying on curated "top 10" blog posts. - **Market Researchers** -- Track the growth trajectory of the Shopify app ecosystem over time. Monitor new entrants, rating shifts, and pricing trends. - **Investors & Analysts** -- Evaluate Shopify app companies by analyzing review sentiment, market positioning, and competitive dynamics at scale. - **Content Creators & Bloggers** -- Generate data-backed Shopify app comparison articles and roundups using structured data rather than manual research. ### FAQ **What are the rate limits?** The actor respects Shopify App Store rate limits automatically. You can run multiple concurrent actors with different queries without worrying about throttling. Typical throughput is 500+ app listings per minute. **How fresh is the data?** Data is scraped in real-time on every run. There is no caching -- you always get the latest listings, reviews, and pricing directly from apps.shopify.com. **What output formats are supported?** JSON, CSV, Excel, and XML. You can also push results directly to Google Sheets, Amazon S3, or any webhook endpoint via Apify integrations. **How much does it cost?** This actor uses pay-per-event pricing at $0.008 per result plus $0.01 per actor start. Scraping 1,000 app listings costs approximately $8.01. See the pricing table below for detailed breakdowns. **How does this compare to manual research or other tools?** SimilarWeb charges $149/mo for limited app store data. Manual research on apps.shopify.com takes 3-5 hours per category. This actor delivers the same intelligence in minutes for a fraction of the cost. **Can I access this via API?** Yes. The actor is fully accessible via the Apify REST API and official Python, JavaScript, and Node.js SDKs. You can trigger runs, retrieve results, and manage schedules programmatically. ### Pricing | Metric | Cost | |---|---| | Cost per result | $0.008 | | Cost per actor start | $0.01 | | 100 results | $0.81 | | 1,000 results | $8.01 | | 10,000 results | $80.01 | | **SimilarWeb (competitor)** | **$149/mo** | | **Manual research (5 hrs @ $50/hr)** | **$250** | For most use cases, a single $8 run replaces what would take hours of manual browsing or a $149/month SimilarWeb subscription. ### Why Choose This Actor - **Four scrape modes in one actor** -- Search, category, app details, and reviews are all built into a single tool. No need to chain multiple scrapers together. - **Real-time, structured data** -- Every field is parsed and normalized. No HTML cleanup or regex parsing required on your end. - **Built-in tracker mode** -- Schedule recurring runs to monitor rating trends, pricing changes, and new market entrants automatically. - **Production-grade reliability** -- Handles pagination, retries, and anti-bot detection so you can focus on analysis instead of infrastructure. ### Get Started New to Apify? [Sign up here](https://apify.com/?fpr=2ayu9b) to get started with $5 in free credits -- enough to scrape thousands of Shopify app listings. ### Related Shopify Actors NexGenData offers a complete Shopify intelligence suite. Each actor targets a different use case: | Actor | What It Does | Best For | |-------|-------------|----------| | [Shopify Revenue Estimator](https://apify.com/nexgendata/shopify-analyzer) | Revenue estimates, theme & app detection, traffic analysis | Competitive due diligence, investor research | | [Shopify Product Extractor](https://apify.com/nexgendata/shopify-store-analyzer) | Full product catalogs with prices, variants, inventory | Dropshipping, price monitoring | | [Shopify Product Scraper](https://apify.com/nexgendata/shopify-product-scraper) | Lightweight product data via /products.json | Quick product lookups, data pipelines | | [Shopify Store Detector](https://apify.com/nexgendata/shopify-store-detector) | Theme, 55+ app fingerprints, tech stack, Shopify plan | Tech stack analysis, market research | | [Shopify App Store Scraper](https://apify.com/nexgendata/shopify-app-store-scraper) | App listings, reviews, pricing, ratings from apps.shopify.com | App market intelligence, competitor tracking | [Sign up for Apify](https://apify.com?fpr=2ayu9b) to get started with $5 in free credits every month. ### 💻 Code Example — Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("nexgendata/shopify-app-store-scraper").call(run_input={ ## Fill in the input shape from the actor's input_schema }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### 🌐 Code Example — cURL ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~shopify-app-store-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ /* input schema */ }' ``` ### ❓ FAQ **Q: How do I get started?** Sign up at [apify.com](https://www.apify.com/?fpr=2ayu9b), grab your API token from Settings → Integrations, and run the actor via the Apify console, API, Python SDK, or any integration (Zapier, Make.com, n8n). **Q: What's the typical cost per run?** See the pricing section below. Most runs finish under $0.10 for typical batches. **Q: Is this actor maintained?** Yes. NexGenData maintains 165+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get responses within 24 hours. **Q: Can I use the output commercially?** Yes — you own the output data. Check the target site's Terms of Service for any usage restrictions on the scraped content itself. **Q: How do I handle rate limits?** Apify manages concurrency and retries automatically. For very large batches (10K+ items), run multiple smaller jobs in parallel instead of one mega-job for better reliability. ### 💰 Pricing Pay-per-event pricing — you only pay for what you actually extract. - **Actor Start:** $0.0001 - **result:** $0.0050 ### 🔗 Related NexGenData Actors - [Hacker News Scraper](https://apify.com/nexgendata/hacker-news-scraper?fpr=2ayu9b) - [Google Maps Lead Scraper](https://apify.com/nexgendata/google-maps-scraper?fpr=2ayu9b) - [SEC EDGAR Scraper](https://apify.com/nexgendata/sec-edgar-scraper?fpr=2ayu9b) ### 🚀 Apify Affiliate Program New to Apify? Sign up with our [referral link](https://www.apify.com/?fpr=2ayu9b) — you get free platform credits on signup, and you help fund the maintenance of this actor fleet. ### 📚 More From NexGenData Explore the full catalog, tutorials, Gumroad data packs, and newsletter at **[thenextgennexus.com](https://thenextgennexus.com)** — the brand home for everything we ship. - 📖 Tutorials & how-to guides - 🗂️ Full actor catalog with usage examples - 📦 Gumroad data packs (one-time purchases) - 📬 Newsletter — monthly drops of new actors and revenue experiments *** *Built and maintained by [NexGenData](https://apify.com/nexgendata?fpr=2ayu9b) — 165+ actors covering scraping, enrichment, MCP servers, and automation.* 🏠 Home: [thenextgennexus.com](https://thenextgennexus.com) # Actor input Schema ## `mode` (type: `string`): Choose what to scrape: search apps by keyword, get full app details, extract reviews, or browse by category. ## `searchQuery` (type: `string`): Keyword to search for in the Shopify App Store (e.g., 'email marketing', 'SEO', 'dropshipping'). Used in search mode. ## `appUrls` (type: `array`): List of Shopify App Store URLs or slugs to scrape details or reviews from (e.g., 'https://apps.shopify.com/omnisend' or just 'omnisend'). Used in app\_details and app\_reviews modes. ## `category` (type: `string`): Shopify App Store category to browse (e.g., 'marketing-and-conversion', 'store-management', 'orders-and-shipping'). Used in category mode. ## `maxResults` (type: `integer`): Maximum number of results to return. Higher values take longer but give more comprehensive data. ## `outputMode` (type: `string`): Choose 'raw' for plain data or 'tracker' for analytics insights including rating analysis, pricing distribution, sentiment summary, and competitive positioning. ## Actor input object example ```json { "mode": "search", "searchQuery": "email marketing", "appUrls": [ "https://apps.shopify.com/omnisend", "https://apps.shopify.com/klaviyo-email-marketing" ], "category": "marketing-and-conversion", "maxResults": 50, "outputMode": "raw" } ``` # 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 = { "mode": "search", "searchQuery": "email marketing", "appUrls": [ "https://apps.shopify.com/omnisend", "https://apps.shopify.com/klaviyo-email-marketing" ], "category": "marketing-and-conversion", "maxResults": 50, "outputMode": "raw" }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/shopify-app-store-scraper").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 = { "mode": "search", "searchQuery": "email marketing", "appUrls": [ "https://apps.shopify.com/omnisend", "https://apps.shopify.com/klaviyo-email-marketing", ], "category": "marketing-and-conversion", "maxResults": 50, "outputMode": "raw", } # Run the Actor and wait for it to finish run = client.actor("nexgendata/shopify-app-store-scraper").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 '{ "mode": "search", "searchQuery": "email marketing", "appUrls": [ "https://apps.shopify.com/omnisend", "https://apps.shopify.com/klaviyo-email-marketing" ], "category": "marketing-and-conversion", "maxResults": 50, "outputMode": "raw" }' | apify call nexgendata/shopify-app-store-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/shopify-app-store-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🛍️ Shopify App Store Scraper — App Research & Competitor Intel", "description": "Extract Shopify App Store data: app listings, reviews, pricing plans & ratings. Search by keyword or category. Tracker mode analyzes competitor app stacks. 10x cheaper than manual research. Built for e-commerce managers & Shopify app developers.", "version": "0.0", "x-build-id": "bBoFeidafxo0DcFxB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~shopify-app-store-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-shopify-app-store-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~shopify-app-store-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-shopify-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~shopify-app-store-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-shopify-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Scraping Mode", "enum": [ "search", "app_details", "app_reviews", "category" ], "type": "string", "description": "Choose what to scrape: search apps by keyword, get full app details, extract reviews, or browse by category.", "default": "search" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for in the Shopify App Store (e.g., 'email marketing', 'SEO', 'dropshipping'). Used in search mode." }, "appUrls": { "title": "App URLs", "type": "array", "description": "List of Shopify App Store URLs or slugs to scrape details or reviews from (e.g., 'https://apps.shopify.com/omnisend' or just 'omnisend'). Used in app_details and app_reviews modes.", "items": { "type": "string" } }, "category": { "title": "Category", "type": "string", "description": "Shopify App Store category to browse (e.g., 'marketing-and-conversion', 'store-management', 'orders-and-shipping'). Used in category mode." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of results to return. Higher values take longer but give more comprehensive data.", "default": 50 }, "outputMode": { "title": "Output Mode", "enum": [ "raw", "tracker" ], "type": "string", "description": "Choose 'raw' for plain data or 'tracker' for analytics insights including rating analysis, pricing distribution, sentiment summary, and competitive positioning.", "default": "raw" } } }, "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 } } } } } } } } } } ```