# Courtyard.io Scraper (`devcake/courtyard-io-scraper`) Actor Extract real-time graded card sales data. Track Pokemon & sports card prices, PSA/BGS/CGC grades, and Fair Market Value estimates. - **URL**: https://apify.com/devcake/courtyard-io-scraper.md - **Developed by:** [devcake](https://apify.com/devcake) (community) - **Categories:** E-commerce, Other - **Stats:** 29 total users, 2 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## πŸƒ Courtyard.io Scraper - Extract Pokemon Card Prices & Sports Card Sales Data **Courtyard.io Scraper** extracts **real-time collectible card sales data** from [Courtyard.io](https://courtyard.io), the premier **graded card marketplace**. **Track Pokemon card prices**, **monitor sports card market data**, and **analyze graded card sales** from PSA, BGS, and CGC - no coding needed. Perfect for **card collectors** 🎴, **TCG investors** πŸ“ˆ, **dropshippers** 🚚, and **market researchers** πŸ”¬ building **TCG market data** pipelines. --- ### 🎯 🏷️ What You Get Courtyard.io Scraper is a **collectible card API** pulling live data from Courtyard.io's blockchain-powered marketplace: | πŸ”Ή | Data Type | |---|------------| | πŸ’΅ | **Real-time sale prices** in USD | | πŸ“Š | **Price comparison** vs **Fair Market Value (FMV)** | | πŸƒ | **Pokemon card prices** with set & language (English, Japanese, Korean) | | ⚾ | **Sports card market data**: Baseball, Basketball πŸ€, Football 🏈, Soccer ⚽, Hockey πŸ₯… | | πŸ† | **Graded card sales**: PSA, BGS, CGC grades & serial numbers | | πŸ’° | **FMV estimates** & **price history** for similar grades | | πŸ–ΌοΈ | High-quality slab scans (front & back) | | πŸ‘€ | Seller usernames, vault status & blockchain verification | --- ### πŸ’‘ πŸ€” Why Use This Scraper? | πŸ”Ή | Use Case | |---|------------| | πŸ“ˆ | **Track Pokemon card prices** in real-time (Charizard, Pikachu, Base Set) | | πŸ“Š | Monitor **sports card market data** for investment decisions (Michael Jordan, LeBron James) | | πŸ”¬ | Analyze **graded card sales** patterns by PSA/BGS/CGC grades | | πŸ’Ž | Find underpriced cards: **price_vs_fmv** negative = below market | | πŸ—„οΈ | Build **historical price databases** for trend analysis | --- ### πŸ“₯ βš™οΈ Input Parameters | πŸ”Ή | Parameter | πŸ“‹ | Type | πŸ“ | Description | |---|------------|-----|------|----|-------------| | 🎯 | `scrapeType` | | Select | | `latest` (recent sales), `keywords` (search), or `categories` | | πŸ”‘ | `keywords` | | String List | | "Charizard", "Michael Jordan", "LeBron James", "1999" | | πŸ“‚ | `categories` | | String List | | Pokemon, Baseball, Basketball, Football, Soccer, Hockey | | πŸ“Š | `limit` | | Number | | Results per keyword (1-1000, default: 30) | #### πŸ’» πŸ“ Example Input ```json { "scrapeType": "keywords", "keywords": ["Charizard", "Michael Jordan", "LeBron James"], "limit": 100, "dateFrom": "2025-01-01", "dateTo": "2025-12-31" } ```` *** ### πŸ“€ πŸ“‹ Output Data Each **graded card sale** includes transaction hash, **price\_usd**, **price\_vs\_fmv**, **card\_title**, **card\_category** (Pokemon/Baseball/etc), **card\_year**, **card\_set**, **grader** (PSA/BGS/CGC), **grade**, **serial\_number**, **fmv\_estimate**, **price\_history**, images, and seller data. *** ### πŸš€ ⚑ How to Scrape | πŸ”’ | Step | πŸ“ | Action | |---|------|----|--------| | 1️⃣ | 🎯 | Open Actor | Go to Courtyard.io Scraper on Apify Store | | 2️⃣ | πŸ“‹ | Choose type | Select latest sales, keywords, or categories | | 3️⃣ | βš™οΈ | Configure | Set keywords, categories, date range, limit | | 4️⃣ | ▢️ | Run | Click "Start" and wait for collection | | 5️⃣ | πŸ’Ύ | Download | Export JSON, CSV, HTML, or Excel | *** ### βœ… πŸ’‘ Pro Tips | πŸ”Ή | Tip | |---|-----| | 🎯 | Use **keywords** for specific cards (Charizard, Jordan rookie cards) | | πŸ“… | Filter by **date range** to build **Pokemon card price** history | | πŸ’° | Monitor **price\_vs\_fmv** to find deals (negative = undervalued) | | πŸ“Š | Review **price\_history** for market range analysis | | πŸ–ΌοΈ | Check **asset\_pictures** for slab scans (front/back) | | πŸ‘€ | Track **seller usernames** for pricing strategies | *** ### ❓ πŸ€” FAQ **🎯 Can I track Pokemon card prices over time?** Yes! Use date filters to build your **Pokemon card price database** and analyze trends. **πŸƒ What categories can I scrape?** Pokemon, Baseball, Basketball, Football, Soccer, Hockey, Magic: The Gathering. **πŸ† Can I use this for PSA card price research?** Absolutely! Captures PSA, BGS, CGC grades. Search specific levels to analyze **PSA card price premiums**. **βš–οΈ Is this legal for commercial use?** Extracts publicly available data for **market research** and **business intelligence**. Review Courtyard.io's Terms. **πŸ”„ Can I scrape Courtyard.io and TCGplayer?** Yes! Compare prices across marketplaces. Try **[TCGplayer Scraper](https://apify.com/devcake/tcgplayer-data-scraper)** for ungraded cards. **πŸ’΅ How much does it cost?** Start free with Apify's $5 monthly credits. *** ### πŸ”— Related Actors | πŸ”Ή | Actor | πŸ“ | Description | |---|-------|----|-------------| | πŸ›’ | **[TCGplayer Data Scraper](https://apify.com/devcake/tcgplayer-data-scraper)** | | Ungraded card prices from TCGplayer | **🎯 Courtyard vs TCGplayer:** - **Graded cards (PSA/BGS/CGC)** with sale history β†’ **Courtyard.io Scraper** - **Ungraded cards** (NM, LP, MP) β†’ **[TCGplayer Scraper](https://apify.com/devcake/tcgplayer-data-scraper)** ***


🎯 Start tracking card prices today! πŸš€

Run your first scrape and build your market intelligence πŸ’°

# Actor input Schema ## `scrapeType` (type: `string`): Choose what to scrape: latest sales, by keywords, by categories, or marketplace listings ## `limit` (type: `integer`): Maximum number of results to fetch per keyword/category (1-1000) ## `keywords` (type: `array`): List of keywords to search for (one per line). Works with 'Sales by Keywords' and 'Listed Items by Search' scrape types. ## `categories` (type: `array`): Select categories to scrape. Works with 'Sales by Categories' and 'Listed Items by Category' scrape types. ## `proxyConfig` (type: `object`): Select proxies to use for requests. Apify Proxy is enabled by default for reliable scraping. ## Actor input object example ```json { "scrapeType": "latest", "limit": 30, "keywords": [ "Charizard" ], "categories": [ "PokΓ©mon" ], "proxyConfig": { "useApifyProxy": true } } ``` # Actor output Schema ## `dataset` (type: `string`): Complete scraped data with all sales and listings ## `sales` (type: `string`): Recent sales with card images, prices, and key details - sorted by newest first ## `listings` (type: `string`): Active marketplace listings with deal scores and pricing insights ## `deals` (type: `string`): Top deals sorted by deal score - best opportunities # 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 = { "keywords": [ "Charizard" ], "categories": [ "PokΓ©mon" ], "proxyConfig": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("devcake/courtyard-io-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keywords": ["Charizard"], "categories": ["PokΓ©mon"], "proxyConfig": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("devcake/courtyard-io-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "Charizard" ], "categories": [ "PokΓ©mon" ], "proxyConfig": { "useApifyProxy": true } }' | apify call devcake/courtyard-io-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devcake/courtyard-io-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Courtyard.io Scraper", "description": "Extract real-time graded card sales data. Track Pokemon & sports card prices, PSA/BGS/CGC grades, and Fair Market Value estimates.", "version": "1.0", "x-build-id": "PtsaIP0kmMSDxA5rs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devcake~courtyard-io-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devcake-courtyard-io-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/devcake~courtyard-io-scraper/runs": { "post": { "operationId": "runs-sync-devcake-courtyard-io-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/devcake~courtyard-io-scraper/run-sync": { "post": { "operationId": "run-sync-devcake-courtyard-io-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": [ "scrapeType" ], "properties": { "scrapeType": { "title": "Scrape Type", "enum": [ "latest", "keywords", "categories" ], "type": "string", "description": "Choose what to scrape: latest sales, by keywords, by categories, or marketplace listings", "default": "latest" }, "limit": { "title": "Limit", "minimum": 30, "maximum": 1000, "type": "integer", "description": "Maximum number of results to fetch per keyword/category (1-1000)", "default": 30 }, "keywords": { "title": "Keywords", "type": "array", "description": "List of keywords to search for (one per line). Works with 'Sales by Keywords' and 'Listed Items by Search' scrape types.", "items": { "type": "string" } }, "categories": { "title": "Categories", "type": "array", "description": "Select categories to scrape. Works with 'Sales by Categories' and 'Listed Items by Category' scrape types.", "items": { "type": "string", "enum": [ "PokΓ©mon", "Basketball", "Baseball", "Football", "One Piece", "Marvel Comic", "Soccer", "Magic The Gathering", "Hockey", "VeeFriends", "Marvel", "D.C. Comic", "Other", "Disney", "Independent Comic", "Yu-Gi-Oh!", "Star Wars", "Weiss Schwarz", "Boxing", "Wrestling", "Racing", "Dragon Ball", "MetaZoo", "Nintendo", "Watches", "DC", "Golf", "MMA", "Tennis", "Athletics", "Motorsports" ] } }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Select proxies to use for requests. Apify Proxy is enabled by default for reliable scraping." } } }, "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 } } } } } } } } } } ```