# NGC Price Guide Scraper - US Coin Values by Grade (`lulzasaur/ngc-price-guide-scraper`) Actor Scrape NGC Price Guide RETAIL VALUES for US coins by series, type, year and grade (G, VG, F, VF, XF, AU, MS-60 to MS-70, PF). This is the NGC PRICE GUIDE (dollar values), NOT the population/census report. Search by series or browse all categories. - **URL**: https://apify.com/lulzasaur/ngc-price-guide-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 ## NGC Price Guide Scraper — US Coin Values by Grade Scrape **retail coin values** from the [NGC Price Guide](https://www.ngccoin.com/price-guide/united-states/) for US coins, broken out **by grade**. For every coin (series → year/mint → variety) you get the NGC-published dollar value at each grade in the grading scale — from circulated grades (G, VG, F, VF, XF, AU) up through Mint State (MS-60 … MS-70) and Proof (PF) grades, including `+` and star (`*`) designations. > **PRICE GUIDE, not population.** This actor returns NGC's estimated **dollar values** by grade. It is **not** the NGC Census / population report (how many coins exist at each grade). If you need populations, use an NGC population scraper instead. ### What you get One record per coin, keyed to the coin's NGC coin id, with a `grades` object mapping each grade label to its value in USD. ```json { "category": "Cents", "categorySlug": "cents", "series": "Flying Eagle Cents (1856-1858)", "seriesId": "16", "seriesUrl": "https://www.ngccoin.com/price-guide/united-states/cents/16/", "coinId": "12016", "coinName": "1857 EAGLE 1C MS", "year": "1857", "denomination": "1C", "designation": "MS", "numGrades": 28, "grades": { "PrAg": 25, "G": 35, "VG": 45, "F": 55, "VF": 105, "XF": 180, "XF+": 195, "50": 235, "53": 310, "55": 425, "58": 500, "60": 550, "62": 715, "63": 1125, "64": 1500, "65": 3250, "66": 11750 }, "coinUrl": "https://www.ngccoin.com/redirects/coin-explorer/12016/", "source": "NGC Price Guide", "scrapedAt": "2026-07-03T07:20:00.000Z" } ```` ### Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | string\[] | Series/category names to scrape (loose match), e.g. `flying eagle`, `morgan`, `lincoln`, `buffalo nickel`, `dimes`, `gold eagles`. Empty = scrape everything. | | `series` | string\[] | Optional extra name filters, merged with `searchQueries`. | | `scrapeDetails` | boolean | Reserved for per-coin detail enrichment. Default `false`. | | `maxResults` | integer | Max coin records. `0` = unlimited. Default `500`. | | `proxyConfiguration` | object | Proxy settings. RESIDENTIAL recommended (NGC uses Cloudflare). | #### Example input ```json { "searchQueries": ["flying eagle", "indian cents"], "maxResults": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` Browse everything: ```json { "searchQueries": [], "maxResults": 0 } ``` ### How it works 1. Loads the US price-guide index and discovers all top-level categories (Cents, Nickels, Dimes, Dollars, Gold Eagles, Commemoratives, …). 2. For each category, loads its `/subcategories/` fragment to enumerate every series ("set type"). 3. For each series that matches your query, parses the price-guide table — two aligned tables joined on the NGC coin id — extracting coin metadata plus every priced grade cell. ### Grade labels Grades appear as NGC labels: circulated (`PrAg`/`AG`, `G`, `VG`, `F`, `VF`, `XF`), numeric Sheldon grades (`50`, `53`, `55`, `58`, `60`–`70`), with `+` (plus) and star variants where NGC publishes them, plus Proof (`PF…`) rows for proof coins. ### Notes - Values are NGC's published estimates and change over time; each row includes `scrapedAt`. - NGC sits behind Cloudflare — use the Apify RESIDENTIAL proxy for reliable runs. - Output pricing is Pay Per Result. # Actor input Schema ## `searchQueries` (type: `array`): Coin series or categories to scrape from the NGC Price Guide, matched by name (loose substring). Examples: 'flying eagle', 'indian cents', 'morgan', 'lincoln', 'buffalo nickel', 'dimes', 'gold eagles'. Leave empty to scrape ALL categories and series. ## `series` (type: `array`): Optional additional series/category name filters. Merged with Search Queries. Same matching rules. Use whichever field you prefer. ## `scrapeDetails` (type: `boolean`): Reserved for future enrichment (per-coin detail pages). When OFF (default), uses the fast series price-guide table which already contains all grade values. ## `maxResults` (type: `integer`): Maximum number of coin records to scrape. Set to 0 for unlimited (all matching series). Default is 500. ## `proxyConfiguration` (type: `object`): Proxy settings. NGC sits behind Cloudflare; RESIDENTIAL proxy is recommended for reliable large-scale runs. ## Actor input object example ```json { "searchQueries": [ "flying eagle" ], "series": [], "scrapeDetails": false, "maxResults": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `dataset` (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": [ "flying eagle" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/ngc-price-guide-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": ["flying eagle"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/ngc-price-guide-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": [ "flying eagle" ] }' | apify call lulzasaur/ngc-price-guide-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/ngc-price-guide-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NGC Price Guide Scraper - US Coin Values by Grade", "description": "Scrape NGC Price Guide RETAIL VALUES for US coins by series, type, year and grade (G, VG, F, VF, XF, AU, MS-60 to MS-70, PF). This is the NGC PRICE GUIDE (dollar values), NOT the population/census report. Search by series or browse all categories.", "version": "1.0", "x-build-id": "JFWGnvM5nP6OAY4TS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~ngc-price-guide-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-ngc-price-guide-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~ngc-price-guide-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-ngc-price-guide-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~ngc-price-guide-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-ngc-price-guide-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", "properties": { "searchQueries": { "title": "Search Queries (series / category)", "type": "array", "description": "Coin series or categories to scrape from the NGC Price Guide, matched by name (loose substring). Examples: 'flying eagle', 'indian cents', 'morgan', 'lincoln', 'buffalo nickel', 'dimes', 'gold eagles'. Leave empty to scrape ALL categories and series.", "default": [], "items": { "type": "string" } }, "series": { "title": "Series (alias of Search Queries)", "type": "array", "description": "Optional additional series/category name filters. Merged with Search Queries. Same matching rules. Use whichever field you prefer.", "default": [], "items": { "type": "string" } }, "scrapeDetails": { "title": "Scrape Coin Detail Pages", "type": "boolean", "description": "Reserved for future enrichment (per-coin detail pages). When OFF (default), uses the fast series price-guide table which already contains all grade values.", "default": false }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of coin records to scrape. Set to 0 for unlimited (all matching series). Default is 500.", "default": 500 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. NGC sits behind Cloudflare; RESIDENTIAL proxy is recommended for reliable large-scale runs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```