# Beckett Sports Card News Scraper (`crawlerbros/beckett-sports-card-news`) Actor Scrape sports card news, checklists, and release details from Beckett.com - the leading authority on sports card collecting. Filter by sport: baseball, basketball, football, hockey, soccer. No API key required. - **URL**: https://apify.com/crawlerbros/beckett-sports-card-news.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Beckett Sports Card News Scraper Scrape sports card news, checklists, and release details from **[Beckett.com](https://www.beckett.com/news)** — the industry's leading authority on sports card collecting since 1984. Get the latest card set announcements, checklist details, market insights, and product release dates. No API key or login required. ### Features - Latest sports card news articles from Beckett's editorial team - Full article metadata: title, excerpt, author, publish date, tags - Filter by sport: baseball, basketball, football, hockey, soccer - Keyword search across all articles - Featured image URL for each article - Pagination support — retrieve up to 200 articles ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | `latest` — recent articles; `search` — keyword search | | `sport` | select | Filter by sport category (optional) | | `searchQuery` | String | Keyword to search (player name, set name, etc.) | | `maxItems` | Integer | Max articles to return (1–200, default 20) | ### Output Each record represents one article: | Field | Type | Description | |-------|------|-------------| | `articleId` | Integer | Unique Beckett article ID | | `title` | String | Article title | | `excerpt` | String | Article summary/excerpt | | `authorName` | String | Author's name | | `publishedAt` | String | Publication date (ISO 8601) | | `modifiedAt` | String | Last modified date (ISO 8601) | | `tags` | Array | Article topic tags | | `imageUrl` | String | Featured image URL | | `articleUrl` | String | Full article URL on beckett.com | | `scrapedAt` | String | Scrape timestamp (ISO 8601) | ### Example Input ```json { "mode": "latest", "sport": "baseball", "maxItems": 20 } ```` ```json { "mode": "search", "searchQuery": "Topps Chrome", "maxItems": 50 } ``` ### Example Output ```json { "articleId": 353369, "title": "2025-26 Topps Inception Basketball Details", "excerpt": "2025-26 Topps Inception Basketball checklist details, parallels, autographs, inserts, relics, pre-order date and more", "authorName": "Andrew Harner", "publishedAt": "2026-06-10T11:53:54", "modifiedAt": "2026-06-10T11:53:56", "tags": ["Topps", "Basketball Cards"], "imageUrl": "https://img.beckett.com/news/news-content/uploads/2026/06/example.jpg", "articleUrl": "https://www.beckett.com/news/2025-26-topps-inception-basketball-cards/", "scrapedAt": "2026-06-10T12:00:00+00:00" } ``` ### Available Sports - **Baseball** — MLB cards, vintage, rookie cards, checklists - **Basketball** — NBA/WNBA cards, releases, rookies - **Football** — NFL cards, drafts, rookie premieres - **Hockey** — NHL cards, Upper Deck products - **Soccer** — International soccer cards, Topps Chrome UEFA - **Non-Sport** — Entertainment cards, Star Wars, Marvel - **Wrestling** — WWE, AEW wrestling cards ### Use Cases - **Collectors**: Track new product releases and checklist announcements - **Dealers**: Monitor market trends and upcoming card sets - **Investors**: Identify high-demand players and new rookie cards - **Market research**: Analyze the sports card market landscape - **Content platforms**: Aggregate sports card news for collectors ### FAQ **Do I need a Beckett account?** No. All news articles are freely accessible without login. **How often is news published?** Beckett publishes multiple articles daily, especially around new product releases. **Can I search for specific players?** Yes — use `mode: search` with `searchQuery: "Patrick Mahomes"` to find all related articles. **What is the difference between latest and search mode?** `latest` returns the most recently published articles (optionally filtered by sport). `search` returns articles matching a keyword, sorted by relevance. # Actor input Schema ## `mode` (type: `string`): What to fetch from Beckett News. ## `sport` (type: `string`): Filter articles by sport category. ## `searchQuery` (type: `string`): Keyword to search for (player name, card set, etc.). Used in search mode. ## `maxItems` (type: `integer`): Maximum number of articles to return (1–200). ## Actor input object example ```json { "mode": "latest", "maxItems": 20 } ``` # Actor output Schema ## `results` (type: `string`): Dataset of sports card news articles from beckett.com/news. # 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": "latest", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/beckett-sports-card-news").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": "latest", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/beckett-sports-card-news").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": "latest", "maxItems": 20 }' | apify call crawlerbros/beckett-sports-card-news --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/beckett-sports-card-news", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Beckett Sports Card News Scraper", "description": "Scrape sports card news, checklists, and release details from Beckett.com - the leading authority on sports card collecting. Filter by sport: baseball, basketball, football, hockey, soccer. No API key required.", "version": "1.0", "x-build-id": "hQ965S5YmhBP2lv4C" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~beckett-sports-card-news/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-beckett-sports-card-news", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~beckett-sports-card-news/runs": { "post": { "operationId": "runs-sync-crawlerbros-beckett-sports-card-news", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~beckett-sports-card-news/run-sync": { "post": { "operationId": "run-sync-crawlerbros-beckett-sports-card-news", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Mode", "enum": [ "latest", "search" ], "type": "string", "description": "What to fetch from Beckett News.", "default": "latest" }, "sport": { "title": "Sport", "enum": [ "baseball", "basketball", "football", "hockey", "soccer", "non-sport", "wrestling" ], "type": "string", "description": "Filter articles by sport category." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for (player name, card set, etc.). Used in search mode." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of articles to return (1–200).", "default": 20 } } }, "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 } } } } } } } } } } ```