# CGC Cards Population Report Scraper - Sports & Pokemon (`jungle_synthesizer/cgc-cards-population-report-scraper`) Actor Scrape CGC Cards population report — the official census of CGC-graded sports cards, Pokemon, and TCG. Get per-card grade-by-grade counts (Pristine 10, Gem Mint 10, Mint+ 9.5, Mint 9, NM-Mint+ 8.5, NM-Mint 8), total graded. Filter by sport, brand, year, set. - **URL**: https://apify.com/jungle\_synthesizer/cgc-cards-population-report-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, Sports - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 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 ## CGC Cards Population Report Scraper Extract the official CGC Cards population report — the census of every card graded by CGC (Certified Guaranty Company). Get per-card grade-by-grade counts across sports cards, Pokemon, Magic: The Gathering, and other TCGs. ### What this scraper does CGC Cards is one of the four major trading card graders (alongside PSA, BGS/Beckett, and SGC). Their population report shows exactly how many copies of each card have been graded at each grade level — data used by slab investors, dealers, scarcity analysts, and collectors chasing "pop 1" cards. This actor scrapes the underlying JSON API that powers the CGC Cards population report website, returning structured records with full grade-by-grade breakdowns. **One record = one card variant** (base, parallel, autograph, memorabilia, etc.) ### Features - **Two modes**: walk the entire category tree (`category_walk`) or fetch specific sets directly (`set`) - **Covers all CGC card types**: Sports cards (baseball, basketball, football, hockey, ...), TCG (Pokemon, Magic, Yu-Gi-Oh!, One Piece, ...), Non-sport cards - **Full grade breakdown**: Perfect 10, Pristine 10, Gem Mint 10, Mint+ 9.5, Mint 9, NM-Mint+ 8.5, NM-Mint 8, NM+ 7.5, NM 7, EX-NM+ 6.5, EX-NM 6, lower grades, AU (Authentic), AA (Authentic Altered) - **Card metadata**: card name, card number, parallel/variant description, autograph flag, memorabilia flag - **Set metadata**: brand/manufacturer, year, set name, CGC set ID - **Direct report URLs** for citation ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `category_walk` | `category_walk` = walk all sets; `set` = fetch specific set URLs | | `apiPath` | string | `sports-cards` | Which CGC category tree to walk: `sports-cards`, `trading-cards`, `non-sports-cards`, or `all` | | `categoryId` | integer | 0 | Filter to a specific category ID (0 = all) | | `subcategoryId` | integer | 0 | Filter to a specific subcategory ID (0 = all) | | `setUrls` | array | — | For `mode=set`: list of CGC population-report URLs | | `maxItems` | integer | 0 | Maximum cards to return (0 = unlimited) | #### Example: Fetch a specific set ```json { "mode": "set", "setUrls": [ "https://www.cgccards.com/population-report/sports/baseball/1/2020-present/13/2020-allen-and-ginter/10235/" ], "maxItems": 100 } ```` #### Example: Walk all baseball sets ```json { "mode": "category_walk", "apiPath": "sports-cards", "categoryId": 1, "maxItems": 1000 } ``` #### Example: Walk all Pokemon cards ```json { "mode": "category_walk", "apiPath": "trading-cards", "maxItems": 500 } ``` ### Output Each record in the dataset represents one card variant: ```json { "api_path": "sports-cards", "category": "Baseball", "category_id": 1, "sport_or_subcategory": "2020-Present", "subcategory_id": 13, "brand": "Allen & Ginter", "year": "2020", "set_name": "2020 Allen & Ginter", "set_id": 10235, "card_id": 6271760, "card_name": "Lou Gehrig", "card_number": "11", "parallel_or_variant": null, "autograph": false, "memorabilia": false, "total_graded": 1, "count_perfect_10": 0, "count_pristine_10": 0, "count_gem_mint_10": 0, "count_mint_plus_9_5": 0, "count_mint_9": 1, "count_nm_mint_plus_8_5": 0, "count_nm_mint_8": 0, "count_nm_plus_7_5": 0, "count_nm_7": 0, "count_ex_nm_plus_6_5": 0, "count_ex_nm_6": 0, "count_lower_grades": 0, "count_aa": 0, "count_au": 0, "report_url": "https://www.cgccards.com/population-report/sports/baseball/1/2020-present/13/2020-allen-and-ginter/10235/" } ``` ### Use cases - **Slab investing**: Identify undergraded or high-pop cards before bidding - **Scarcity analysis**: Find "pop 1" or low-pop cards across sets - **Cross-grader comparison**: Pair with PSA population data (same schema shape) to compare CGC vs PSA submission volumes - **Market research**: Track which sets and cards are being submitted most frequently - **Price modeling**: Correlate population counts with sale prices on marketplaces ### Notes - The CGC Cards population report is publicly accessible without authentication - Data updates daily as new cards are graded and returned to submitters - Full category walks (all sports + TCG + non-sports) return millions of records; use `maxItems` and category/subcategory filters for targeted runs - The CGC grading scale includes half-grade increments: Perfect 10 and Pristine 10 are distinct grades (Pristine requires all subgrades at 10; Perfect allows one subgrade at 9) # 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. ## `mode` (type: `string`): category\_walk = walk the full CGC pop-report tree. set = fetch one or more specific set URLs. ## `apiPath` (type: `string`): Which CGC category tree to walk. sports = sports cards; tcg = trading card games; non-sports = non-sport cards. ## `categoryId` (type: `integer`): Filter to a specific category (e.g. 1 = Baseball). Leave 0 for all. ## `subcategoryId` (type: `integer`): Filter to a specific subcategory (e.g. 13 = 2020-Present baseball). Leave 0 for all. ## `setUrls` (type: `array`): When mode=set, list CGC population-report URLs. Example: https://www.cgccards.com/population-report/sports/baseball/1/2020-present/13/2020-allen-and-ginter/10235/ ## `maxItems` (type: `integer`): Maximum number of card records to return. 0 = unlimited. ## 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...", "mode": "category_walk", "apiPath": "sports-cards", "categoryId": 0, "subcategoryId": 0, "setUrls": [ "https://www.cgccards.com/population-report/sports/baseball/1/2020-present/13/2020-allen-and-ginter/10235/" ], "maxItems": 10 } ``` # 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...", "mode": "category_walk", "apiPath": "sports-cards", "categoryId": 0, "subcategoryId": 0, "setUrls": [ "https://www.cgccards.com/population-report/sports/baseball/1/2020-present/13/2020-allen-and-ginter/10235/" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/cgc-cards-population-report-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...", "mode": "category_walk", "apiPath": "sports-cards", "categoryId": 0, "subcategoryId": 0, "setUrls": ["https://www.cgccards.com/population-report/sports/baseball/1/2020-present/13/2020-allen-and-ginter/10235/"], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/cgc-cards-population-report-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...", "mode": "category_walk", "apiPath": "sports-cards", "categoryId": 0, "subcategoryId": 0, "setUrls": [ "https://www.cgccards.com/population-report/sports/baseball/1/2020-present/13/2020-allen-and-ginter/10235/" ], "maxItems": 10 }' | apify call jungle_synthesizer/cgc-cards-population-report-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/cgc-cards-population-report-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CGC Cards Population Report Scraper - Sports & Pokemon", "description": "Scrape CGC Cards population report — the official census of CGC-graded sports cards, Pokemon, and TCG. Get per-card grade-by-grade counts (Pristine 10, Gem Mint 10, Mint+ 9.5, Mint 9, NM-Mint+ 8.5, NM-Mint 8), total graded. Filter by sport, brand, year, set.", "version": "0.1", "x-build-id": "DDddJz3zl6RD2UoLa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~cgc-cards-population-report-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-cgc-cards-population-report-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~cgc-cards-population-report-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-cgc-cards-population-report-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~cgc-cards-population-report-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-cgc-cards-population-report-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." }, "mode": { "title": "Mode", "enum": [ "category_walk", "set" ], "type": "string", "description": "category_walk = walk the full CGC pop-report tree. set = fetch one or more specific set URLs." }, "apiPath": { "title": "API path", "enum": [ "sports-cards", "trading-cards", "non-sports-cards", "all" ], "type": "string", "description": "Which CGC category tree to walk. sports = sports cards; tcg = trading card games; non-sports = non-sport cards." }, "categoryId": { "title": "Category ID", "type": "integer", "description": "Filter to a specific category (e.g. 1 = Baseball). Leave 0 for all.", "default": 0 }, "subcategoryId": { "title": "Subcategory ID", "type": "integer", "description": "Filter to a specific subcategory (e.g. 13 = 2020-Present baseball). Leave 0 for all.", "default": 0 }, "setUrls": { "title": "Set URLs", "type": "array", "description": "When mode=set, list CGC population-report URLs. Example: https://www.cgccards.com/population-report/sports/baseball/1/2020-present/13/2020-allen-and-ginter/10235/", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of card records to return. 0 = unlimited.", "default": 0 } } }, "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 } } } } } } } } } } ```