# Beckett Marketplace Scraper - Trading Card Prices (`lulzasaur/beckett-scraper`) Actor Scrape Beckett Marketplace (marketplace.beckett.com) trading card listings from the Beckett/BGS ecosystem. Get card name, sport, set/brand, year, card number, player, condition/grade, price, seller and image for baseball, basketball, football, hockey and gaming cards. - **URL**: https://apify.com/lulzasaur/beckett-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## Beckett Marketplace Scraper Scrape trading card listings from **Beckett Marketplace** (`marketplace.beckett.com`) — the marketplace arm of Beckett, the company behind **BGS** grading. Search by player, set, team or keyword and get clean, structured card data for baseball, basketball, football, hockey and gaming cards. Beckett/BGS is one of the four major card graders (alongside PSA, CGC and SGC), which makes this data useful for cross-grader price comparison and card-arbitrage analysis. ### What it does For each search query it collects live marketplace listings, paginating 100 per page up to your limit. Optionally it visits each listing's detail page to enrich every row with sport, team, brand, manufacturer, player and condition/grade. ### Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array | Card / player / set / team search terms (e.g. `"michael jordan"`, `"topps chrome"`). | | `maxResults` | integer | Max listings per query (0 = unlimited). Paginates 100/page. Default 100. | | `scrapeDetails` | boolean | Visit each listing page for sport, team, brand, manufacturer, player and grade. Default false. | | `proxyConfiguration` | object | Optional. Not needed — the site is server-rendered with no anti-bot protection. | #### Example input ```json { "searchQueries": ["michael jordan", "mike trout rookie"], "maxResults": 100, "scrapeDetails": true } ```` ### Output Each dataset item represents one marketplace listing: ```json { "title": "1994 Fun Pack #170 Michael Jordan RC", "year": "1994", "cardNumber": "170", "setName": "Fun Pack", "player": "Michael Jordan RC", "sport": "Baseball", "team": "Chicago White Sox", "brand": "Fun Pack", "manufacturer": "Upper Deck Co.", "grade": "NM-MT", "gradeDescription": "Raw Grade : Near Mint/Mint", "grader": "Raw", "price": 9.99, "currency": "USD", "listingId": "107257763", "imageUrl": "https://img.beckett.com/images/items/.../front.jpg", "url": "https://marketplace.beckett.com/item/1343/...", "searchQuery": "michael jordan", "scrapedAt": "2026-07-09T00:00:00.000Z" } ``` Fields `sport`, `team`, `brand`, `manufacturer`, `grade`, `gradeDescription` and `grader` are populated only when `scrapeDetails` is enabled. Without it, `year`, `cardNumber`, `setName` and `player` are parsed from the listing title. ### Notes - Data is sourced from the **public** Beckett Marketplace search; no login required. - Graded listings expose the grade (e.g. BGS/PSA/SGC/CGC) in `grade`/`gradeDescription`; raw cards show the raw condition (e.g. NM-MT). - Prices are seller asking prices in USD. # Actor input Schema ## `searchQueries` (type: `array`): List of card, player, set or team search terms (e.g. 'michael jordan', 'topps chrome', 'mike trout rookie'). Each query is searched on Beckett Marketplace. ## `maxResults` (type: `integer`): Maximum number of card listings to collect per search query (0 = unlimited). The scraper paginates 100 listings per page. ## `scrapeDetails` (type: `boolean`): If enabled, visits each listing's detail page to extract sport, team, brand, manufacturer, player and condition/grade. Slower but much richer data. If disabled, fields are parsed from the listing title. ## `proxyConfiguration` (type: `object`): Proxy settings. Beckett Marketplace is server-rendered with no anti-bot protection, so proxies are not needed. ## Actor input object example ```json { "searchQueries": [ "michael jordan" ], "maxResults": 100, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searchQueries": [ "michael jordan" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/beckett-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 = { "searchQueries": ["michael jordan"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/beckett-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 '{ "searchQueries": [ "michael jordan" ] }' | apify call lulzasaur/beckett-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/beckett-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Beckett Marketplace Scraper - Trading Card Prices", "description": "Scrape Beckett Marketplace (marketplace.beckett.com) trading card listings from the Beckett/BGS ecosystem. Get card name, sport, set/brand, year, card number, player, condition/grade, price, seller and image for baseball, basketball, football, hockey and gaming cards.", "version": "1.0", "x-build-id": "YegIEykmZUMgAzXe4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~beckett-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-beckett-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~beckett-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-beckett-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~beckett-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-beckett-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "List of card, player, set or team search terms (e.g. 'michael jordan', 'topps chrome', 'mike trout rookie'). Each query is searched on Beckett Marketplace.", "default": [ "michael jordan" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results per Query", "minimum": 0, "type": "integer", "description": "Maximum number of card listings to collect per search query (0 = unlimited). The scraper paginates 100 listings per page.", "default": 100 }, "scrapeDetails": { "title": "Scrape Detail Pages", "type": "boolean", "description": "If enabled, visits each listing's detail page to extract sport, team, brand, manufacturer, player and condition/grade. Slower but much richer data. If disabled, fields are parsed from the listing title.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Beckett Marketplace is server-rendered with no anti-bot protection, so proxies are not needed.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```