# Fanatics Collect Scraper - Weekly & Premier Auctions (`jungle_synthesizer/fanaticscollect-weekly-auction-scraper`) Actor Scrape Fanatics Collect (PWCC successor, #2 high-end card auction) for weekly, premier, and fixed-price lots. Get grader/grade normalization, final-sale prices, buyer's-premium %, bid counts, and eBay vault flags. Filter by category, sport, grader, and price range. - **URL**: https://apify.com/jungle\_synthesizer/fanaticscollect-weekly-auction-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, Other - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Fanatics Collect Scraper - Weekly & Premier Auctions Scrape Fanatics Collect (PWCC successor, #2 high-end card auction) for weekly, premier, and fixed-price lots. Get grader/grade normalization, final-sale prices, buyer's-premium %, bid counts, and eBay vault flags. Filter by category, sport, grader, and price range. ### What it does This actor scrapes lot listings from [Fanatics Collect](https://www.fanaticscollect.com/) (formerly PWCC Marketplace, acquired by Fanatics in 2024), the #2 platform for high-end sports card auctions after Heritage Auctions. For each lot it extracts: - Lot title, player/subject, year, card number, set name - Grader (PSA, BGS, SGC, CGC, RAW) and grade normalization to numeric - Current bid, opening bid, final sale price, buyer's premium % - Bid count and watchers count - In eBay vault flag and vault listing URL - Auction type, lot ID, auction UUID, lot slug - Image URLs, description, listing status, auction end date ### Use cases - **Price research** — track what graded cards are selling for at the #2 card auction - **Market analysis** — monitor weekly auction sell-through rates and bid counts - **Portfolio valuation** — pull current bids on PSA/BGS graded cards you own - **Deal scouting** — find lots with low current bids relative to recent comps - **Archive research** — query past auction results for pricing history ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `weekly_auction` | `weekly_auction`, `premier_auction`, `fixed_price`, `past_auctions`, or `lot` | | `maxItems` | integer | 10 | Maximum lots to scrape. 0 = unlimited | | `category` | string | All | Top-level category filter (Sports Cards, Trading Card Games, Non-Sport, Memorabilia) | | `grader` | string | All | Grading service filter (PSA, BGS, SGC, CGC, RAW) | | `keyword` | string | — | Free-text keyword search | | `proxyConfiguration` | object | Apify Residential | Proxy settings. Residential proxy required for Cloudflare bypass | #### Modes - **Weekly Auction** (`weekly_auction`) — Active weekly lots (runs while auction is live) - **Premier Auction** (`premier_auction`) — Premier auction lots - **Fixed Price** (`fixed_price`) — Buy-it-now marketplace listings - **Past Auctions** (`past_auctions`) — Sold/completed lot archive (always has data) - **Single Lot** (`lot`) — Scrape specific lot URLs you supply in `lotUrls` ### Output Each dataset record contains: ```json { "lot_id": "4521", "lot_url": "https://www.fanaticscollect.com/weekly/abc-uuid/1989-ken-griffey-jr-psa-9", "lot_slug": "1989-ken-griffey-jr-psa-9", "auction_id": "abc12345-def6-7890-ghij-klmnopqrstuv", "auction_type": "WEEKLY", "title": "1989 Upper Deck Ken Griffey Jr. #1 PSA 9 MINT", "player_or_subject": "Ken Griffey Jr.", "year": 1989, "card_number": "1", "grader": "PSA", "grade": "9", "grade_numeric": 9, "bid_count": 12, "watchers_count": 47, "current_bid": 250.00, "opening_bid": 100.00, "final_sale_price": null, "buyers_premium_pct": 15, "currency": "USD", "listing_status": "active", "in_ebay_vault": false, "image_urls": "https://dilxwvfkfup17.cloudfront.net/...", "auction_end_date": "2026-05-20T22:00:00Z" } ```` ### Notes - Requires residential proxy (included automatically via Apify Residential) for Cloudflare bypass - Weekly auction data is only available while an auction is active; use `past_auctions` mode for historical data - The `lot` mode accepts direct lot URLs from Fanatics Collect - Lot timing: weekly auctions typically close on Sundays at 9 PM Pacific # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `category` (type: `string`): Top-level category filter. ## `grader` (type: `string`): Grading service filter. ## `keyword` (type: `string`): Free-text keyword search. ## `maxItems` (type: `integer`): Maximum lots to scrape. 0 = unlimited. ## `mode` (type: `string`): Active weekly auction, premier auction, fixed-price marketplace, past auction archive, or single lot. ## `proxyConfiguration` (type: `object`): No description ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "mode": "weekly_auction", "proxyConfiguration": { "apifyProxyGroups": [ "RESIDENTIAL" ], "useApifyProxy": true } } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "category": "", "grader": "", "keyword": "", "maxItems": 5, "mode": "weekly_auction", "proxyConfiguration": { "apifyProxyGroups": [ "RESIDENTIAL" ], "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/fanaticscollect-weekly-auction-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "category": "", "grader": "", "keyword": "", "maxItems": 5, "mode": "weekly_auction", "proxyConfiguration": { "apifyProxyGroups": ["RESIDENTIAL"], "useApifyProxy": True, }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/fanaticscollect-weekly-auction-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "category": "", "grader": "", "keyword": "", "maxItems": 5, "mode": "weekly_auction", "proxyConfiguration": { "apifyProxyGroups": [ "RESIDENTIAL" ], "useApifyProxy": true } }' | apify call jungle_synthesizer/fanaticscollect-weekly-auction-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/fanaticscollect-weekly-auction-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fanatics Collect Scraper - Weekly & Premier Auctions", "description": "Scrape Fanatics Collect (PWCC successor, #2 high-end card auction) for weekly, premier, and fixed-price lots. Get grader/grade normalization, final-sale prices, buyer's-premium %, bid counts, and eBay vault flags. Filter by category, sport, grader, and price range.", "version": "0.1", "x-build-id": "kk8ObjuVJNG0hI6Ud" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~fanaticscollect-weekly-auction-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-fanaticscollect-weekly-auction-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/jungle_synthesizer~fanaticscollect-weekly-auction-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-fanaticscollect-weekly-auction-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/jungle_synthesizer~fanaticscollect-weekly-auction-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-fanaticscollect-weekly-auction-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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "category": { "title": "Category", "enum": [ "", "Sports Cards", "Trading Card Games", "Non-Sport", "Memorabilia" ], "type": "string", "description": "Top-level category filter." }, "grader": { "title": "Grader", "enum": [ "", "PSA", "BGS", "SGC", "CGC", "RAW" ], "type": "string", "description": "Grading service filter." }, "keyword": { "title": "Keyword", "type": "string", "description": "Free-text keyword search." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum lots to scrape. 0 = unlimited.", "default": 10 }, "mode": { "title": "Mode", "enum": [ "weekly_auction", "premier_auction", "fixed_price", "past_auctions", "lot" ], "type": "string", "description": "Active weekly auction, premier auction, fixed-price marketplace, past auction archive, or single lot." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "" } } }, "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 } } } } } } } } } } ```