# Pokémon Card & Sealed Box Market Intelligence (`lofomachines/pokemon-card-box-market-intelligence`) Actor Pokémon card and sealed box prices, trend signals, AI investment scoring and booster box expected value — in one clean dataset. - **URL**: https://apify.com/lofomachines/pokemon-card-box-market-intelligence.md - **Developed by:** [Lofomachines](https://apify.com/lofomachines) (community) - **Categories:** AI, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 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 ## Pokémon Card & Sealed Box Market Intelligence 📈🃏 **Track Pokémon card prices, spot rising cards before they spike, and find out whether a sealed booster box is actually worth buying — all in one clean, ready-to-use dataset.** Whether you collect, flip, grade, or invest, this Actor turns the messy world of Pokémon TCG pricing into a single, structured, decision-ready report. Search any card or set and instantly get market prices, 7-day and 30-day trends, an investment score, a risk rating, and a plain-English recommendation. For sealed products, it even estimates the **expected value of a booster box** so you know if "sealed" beats buying singles. No accounts. No logins. No spreadsheets. Just run it and get answers. --- ### ⭐ Why people use this Actor - **💰 Know the real price** — aggregated market price with low / mid / high spread, not a single noisy number. - **📊 See the trend** — 7-day and 30-day momentum so you can tell what's heating up and what's cooling down. - **🧠 Investment scoring** — every card gets a 0–100 score, an A+ to F grade, a risk level and a Buy / Hold / Watch / Avoid call. - **📦 Booster box expected value** — estimate how much singles value is inside a sealed box, with chase-card breakdowns. - **🤖 AI market insights** — a concise, plain-English read on each card so you don't have to interpret the numbers yourself. - **⚡ Fast & affordable** — optimized to return rich results quickly while keeping run costs tiny. - **🧾 Clean, structured output** — perfect for Google Sheets, Notion, Airtable, dashboards, Discord bots or your own app. --- ### 🎯 Who is it for? - **Collectors** checking what their collection is worth and what to chase next. - **Investors & flippers** hunting for undervalued cards and rising trends. - **Resellers & eBay / Whatnot sellers** pricing inventory accurately and fast. - **Sealed product buyers** deciding whether a booster box is worth the sticker price. - **Content creators & analysts** who need reliable market data for videos, newsletters and dashboards. - **Developers** powering price-tracking apps, Discord bots and alerts with a clean data feed. --- ### 🔍 What you can do with it #### 1. Search individual cards Type a name like `Charizard`, `Pikachu ex`, `Umbreon VMAX` or `Moonbreon` and get every relevant printing ranked by market value, with trends and scores. #### 2. Analyze a full set & its sealed box Enter a set name like `151`, `Surging Sparks`, `Prismatic Evolutions` or `Evolving Skies` to get: - total set value and average / median card price, - the most valuable and "chase" cards, - an **estimated booster box expected value** (per pack and per box). #### 3. Investment radar Pick a set and surface the highest-scoring opportunities first — the cards with the strongest momentum, scarcity and liquidity profile. --- ### 📥 Input You only need two things to get started: | Field | What it does | |-------|--------------| | **What do you want to analyze?** | `Cards`, `Set / Sealed box`, or `Investment radar`. | | **Card or set name** | e.g. `Charizard`, or a set like `151`. | | **Maximum cards** | How many results to return (lower = faster & cheaper). | | **Preferred currency** | `USD` or `EUR`. | | **Rarity filter** *(optional)* | Narrow results to specific rarities. | | **Enable AI insights** | Add plain-English summaries and recommendations. | **Example input** ```json { "searchMode": "set", "query": "151", "maxCards": 60, "currency": "USD", "enableAiInsights": true } ```` *** ### 📤 Output Every run produces a clean, consistent dataset. Each **card** record looks like this: ```json { "recordType": "card", "name": "Charizard ex", "setName": "151", "number": "199", "rarity": "Special Illustration Rare", "currency": "USD", "marketPrice": 248.41, "lowPrice": 210.00, "midPrice": 255.00, "highPrice": 399.99, "priceSpread": 189.99, "priceChange7dPct": 4.2, "priceChange30dPct": 11.8, "momentumSignal": "Rising", "investmentScore": 87, "investmentGrade": "A+", "riskLevel": "Medium", "dealScore": 79, "recommendation": "Buy", "aiSummary": "Strong 30-day momentum and chase-card status keep demand high heading into a hot season.", "aiConfidence": "High", "imageUrl": "https://…/199_hires.png", "releaseDate": "2023/09/22" } ``` For **set** and **investment** runs you also get a **market summary** record: ```json { "recordType": "marketSummary", "setName": "151", "cardsAnalyzed": 207, "totalSetValue": 1894.55, "averageCardPrice": 9.15, "medianCardPrice": 1.20, "mostValuableCard": { "name": "Charizard ex", "marketPrice": 248.41 }, "chaseCards": [ … top cards … ], "boosterBox": { "packsPerBox": 36, "estimatedEvPerPack": 7.85, "estimatedEvPerBox": 282.60, "note": "Expected value is a statistical estimate of the singles value inside a sealed box." } } ``` Export to **JSON, CSV, Excel, HTML or via API** with one click. *** ### 💡 Popular use cases - "Is this booster box worth more sealed or opened?" - "Which cards in the newest set are rising fastest right now?" - "What's my Charizard collection worth this week?" - "Find me A-grade cards under $50 with strong momentum." - "Build a daily price tracker for my Discord/Sheets." *** ### ❓ FAQ **Do I need to log in to anything?** No. There are no accounts, logins or credentials required to get results. **Which cards and sets are covered?** A very broad range of modern and classic English Pokémon TCG sets and cards. **How accurate is the booster box expected value?** It's a statistical estimate of the singles value contained in a sealed box, based on average prices and approximate pull rates. It's a guide for decision-making, not a guarantee — individual boxes always vary. **Can I automate it?** Yes. Schedule it daily/weekly, or call it via the Apify API and pipe the dataset straight into your tools. **How fast is it?** Most searches finish in well under a minute and are optimized to keep your usage costs low. *** ### 🚀 Get started 1. Choose **Cards**, **Set / Sealed box**, or **Investment radar**. 2. Type a card or set name. 3. Click **Start** and get a clean market report in seconds. Start tracking the Pokémon market like a pro. 🃏📊 # Actor input Schema ## `searchMode` (type: `string`): Choose how the scan should work. 'Cards' searches individual cards by name. 'Set / Sealed box' analyzes a whole set and estimates booster box value. 'Investment radar' finds the best opportunities inside a set. ## `query` (type: `string`): What to look for. For cards: a name or keyword, e.g. "Charizard", "Pikachu ex", "Umbreon VMAX". For set / investment modes: a set name, e.g. "151", "Surging Sparks", "Evolving Skies". ## `maxCards` (type: `integer`): Upper limit on how many cards to include in the results. Lower numbers run faster and cheaper. ## `currency` (type: `string`): Currency used for the headline prices in the output. ## `rarityFilter` (type: `array`): Only include cards of these rarities. Leave empty to include everything. ## `enableAiInsights` (type: `boolean`): Add a plain-English investment summary, recommendation and risk assessment to each result. Turn off for the fastest, cheapest runs. ## Actor input object example ```json { "searchMode": "cards", "query": "Charizard", "maxCards": 60, "currency": "USD", "rarityFilter": [], "enableAiInsights": false } ``` # Actor output Schema ## `results` (type: `string`): All card records and the market summary. ## `marketReport` (type: `string`): Aggregated run report including booster box expected value. # 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 = { "query": "Charizard" }; // Run the Actor and wait for it to finish const run = await client.actor("lofomachines/pokemon-card-box-market-intelligence").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 = { "query": "Charizard" } # Run the Actor and wait for it to finish run = client.actor("lofomachines/pokemon-card-box-market-intelligence").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 '{ "query": "Charizard" }' | apify call lofomachines/pokemon-card-box-market-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lofomachines/pokemon-card-box-market-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pokémon Card & Sealed Box Market Intelligence", "description": "Pokémon card and sealed box prices, trend signals, AI investment scoring and booster box expected value — in one clean dataset.", "version": "1.0", "x-build-id": "AgyG84GsnhLCo2Wy4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lofomachines~pokemon-card-box-market-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lofomachines-pokemon-card-box-market-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lofomachines~pokemon-card-box-market-intelligence/runs": { "post": { "operationId": "runs-sync-lofomachines-pokemon-card-box-market-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lofomachines~pokemon-card-box-market-intelligence/run-sync": { "post": { "operationId": "run-sync-lofomachines-pokemon-card-box-market-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchMode", "query" ], "properties": { "searchMode": { "title": "What do you want to analyze?", "enum": [ "cards", "set", "investment" ], "type": "string", "description": "Choose how the scan should work. 'Cards' searches individual cards by name. 'Set / Sealed box' analyzes a whole set and estimates booster box value. 'Investment radar' finds the best opportunities inside a set.", "default": "cards" }, "query": { "title": "Card or set name", "type": "string", "description": "What to look for. For cards: a name or keyword, e.g. \"Charizard\", \"Pikachu ex\", \"Umbreon VMAX\". For set / investment modes: a set name, e.g. \"151\", \"Surging Sparks\", \"Evolving Skies\"." }, "maxCards": { "title": "Maximum cards to return", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Upper limit on how many cards to include in the results. Lower numbers run faster and cheaper.", "default": 60 }, "currency": { "title": "Preferred currency", "enum": [ "USD", "EUR" ], "type": "string", "description": "Currency used for the headline prices in the output.", "default": "USD" }, "rarityFilter": { "title": "Rarity filter (optional)", "type": "array", "description": "Only include cards of these rarities. Leave empty to include everything.", "items": { "type": "string", "enum": [ "Common", "Uncommon", "Rare", "Rare Holo", "Double Rare", "Ultra Rare", "Illustration Rare", "Special Illustration Rare", "Hyper Rare", "Secret Rare" ] }, "default": [] }, "enableAiInsights": { "title": "Enable AI market insights", "type": "boolean", "description": "Add a plain-English investment summary, recommendation and risk assessment to each result. Turn off for the fastest, cheapest runs.", "default": false } } }, "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 } } } } } } } } } } ```