# CGC Comics Census Graded Population Scraper (`jungle_synthesizer/cgccomics-census-graded-comic-population-scraper`) Actor Scrapes the CGC Comics Population Report — the canonical graded-comic scarcity reference. Returns one row per grade per issue per label type (Universal, Signature Series, Restored) with graded counts, total graded, and top-pop flags. Covers Comics, Magazines, Pulps, Concert Posters, Lobby Cards. - **URL**: https://apify.com/jungle\_synthesizer/cgccomics-census-graded-comic-population-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 Comics Census Graded Population Scraper Extract graded comic scarcity data from the CGC Population Report — the authoritative reference for how many copies of every comic issue have been professionally graded, at every grade level. ### What this actor does The CGC Population Report tracks every comic, magazine, pulp, concert poster, and lobby card graded by CGC — the leading third-party grading service. For each issue, it shows how many copies exist at each grade (0.5 through 10.0) across label types: Universal, Signature Series, Restored, and Qualified. This actor traverses the full CGC Population Report API and returns **one record per grade per issue per label type**, giving you the long-format population table that powers: - Comic price modeling (grade-adjusted valuations) - Scarcity research (low-pop key issues) - Top-pop detection (the highest grade with any copies for each issue) - Full-catalog population tracking for investment portfolios ### Data returned Each record includes: | Field | Description | |-------|-------------| | `series_name` | Comic series/title name | | `issue_number` | Issue number string | | `publisher` | Publisher name (e.g. Marvel Comics) | | `issue_year` | Publication year | | `variant` | Cover variant or printing | | `label_type` | Universal, Signature Series, Restored, or Qualified | | `grade` | Grade string (e.g. 9.8, NG, PG, CVR) | | `grade_numeric` | Numeric grade value (null for NG/PG/CVR) | | `graded_count` | Copies graded at this exact grade + label | | `total_graded` | Total copies graded for this issue (all grades) | | `higher_graded_count` | Copies graded at strictly higher grades | | `is_top_pop` | True if no copies exist at a higher grade | | `key_issue_notes` | Key issue notes if surfaced by CGC | | `census_url` | Direct link to the CGC population report page | | `image_url` | CGC image URL for this issue | ### Input options | Field | Default | Description | |-------|---------|-------------| | `collectibleType` | `comics` | Type: comics, magazines, pulps, concert-posters, lobby-cards | | `publisherFilter` | (all) | Filter to a specific publisher name | | `seriesFilter` | (all) | Filter to a specific series/title name | | `maxItems` | `10` | Maximum number of grade-row records to return | ### Coverage The CGC Comics census covers 12M+ graded comics across publishers including Marvel, DC, Image, Dark Horse, EC, and thousands more. Full scrapes without filters produce tens of millions of records (one per grade per issue). Use filters for targeted research or set a high `maxItems` for bulk exports. ### Related actors This actor completes the comic-investing data triad: - **CGC Comics Census** (this actor) — scarcity data - **GCD Comic Catalog** — issue identity and bibliographic data - **PriceCharting Comic Prices** — market values # 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. ## `collectibleType` (type: `string`): Which CGC collectible type to scrape: comics, magazines, pulps, concert-posters, or lobby-cards ## `publisherFilter` (type: `string`): Optional: filter to a specific publisher/subcategory name (e.g. 'Marvel Comics'). Leave blank to scrape all publishers. ## `seriesFilter` (type: `string`): Optional: filter to a specific series/title name (e.g. 'Amazing Spider-Man'). Leave blank to scrape all series. ## `maxItems` (type: `integer`): Maximum number of records to scrape (each grade-row counts as one record) ## 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...", "collectibleType": "comics", "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...", "collectibleType": "comics", "publisherFilter": "", "seriesFilter": "", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/cgccomics-census-graded-comic-population-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...", "collectibleType": "comics", "publisherFilter": "", "seriesFilter": "", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/cgccomics-census-graded-comic-population-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...", "collectibleType": "comics", "publisherFilter": "", "seriesFilter": "", "maxItems": 10 }' | apify call jungle_synthesizer/cgccomics-census-graded-comic-population-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/cgccomics-census-graded-comic-population-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CGC Comics Census Graded Population Scraper", "description": "Scrapes the CGC Comics Population Report — the canonical graded-comic scarcity reference. Returns one row per grade per issue per label type (Universal, Signature Series, Restored) with graded counts, total graded, and top-pop flags. Covers Comics, Magazines, Pulps, Concert Posters, Lobby Cards.", "version": "0.1", "x-build-id": "hyBKTYbbsRYoIydxh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~cgccomics-census-graded-comic-population-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-cgccomics-census-graded-comic-population-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~cgccomics-census-graded-comic-population-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-cgccomics-census-graded-comic-population-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~cgccomics-census-graded-comic-population-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-cgccomics-census-graded-comic-population-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": [ "maxItems" ], "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." }, "collectibleType": { "title": "Collectible Type", "enum": [ "comics", "magazines", "pulps", "concert-posters", "lobby-cards" ], "type": "string", "description": "Which CGC collectible type to scrape: comics, magazines, pulps, concert-posters, or lobby-cards", "default": "comics" }, "publisherFilter": { "title": "Publisher Filter", "type": "string", "description": "Optional: filter to a specific publisher/subcategory name (e.g. 'Marvel Comics'). Leave blank to scrape all publishers." }, "seriesFilter": { "title": "Series Filter", "type": "string", "description": "Optional: filter to a specific series/title name (e.g. 'Amazing Spider-Man'). Leave blank to scrape all series." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to scrape (each grade-row counts as one record)", "default": 10 } } }, "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 } } } } } } } } } } ```