# Numista Scraper - World Coin & Banknote Catalog (`lulzasaur/numista-scraper`) Actor Scrape the Numista world coin and banknote catalog. Search by keyword (e.g. 'morgan dollar') and get title, country, years, denomination, composition, weight, diameter, mintage, KM#/N# references, value estimates, and images. - **URL**: https://apify.com/lulzasaur/numista-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 ## Numista Scraper – World Coin & Banknote Catalog Scrape the [Numista](https://en.numista.com) catalog — one of the largest online references for world coins and banknotes — by keyword. Get clean, structured records for collectors, dealers, appraisers, and numismatic apps. ### What it does Give it one or more search queries (e.g. `morgan dollar`, `canada 1 cent`, `1965 penny`) and it returns the matching catalog entries with images, country, years, denomination, catalog references, and — when detail scraping is enabled — full physical specs and value estimates. ### Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array of strings | Keywords to search the Numista catalog. Default: `["morgan dollar"]`. | | `maxResults` | integer | Max catalog entries per query (Numista returns ~50/page). Default: `50`. | | `scrapeDetails` | boolean | Visit each coin's detail page for composition, weight, diameter, thickness, shape, edge, mintage, value estimate, grades, and full references. Default: `false`. | | `proxyConfiguration` | object | Proxy settings. RESIDENTIAL recommended (used by default) — Numista is behind Cloudflare and rate-limits. | #### Example input ```json { "searchQueries": ["morgan dollar", "canada 1 cent"], "maxResults": 25, "scrapeDetails": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Each record: ```json { "numistaId": "19168", "title": "25 Cents Magnetic", "country": "Barbados", "catalogGroup": "Barbados • Dollar (1973-date)", "denomination": "25 Cents", "years": "2007-2023", "category": "Standard circulation coins", "reference": "N# 19168", "dimensions": "23.664 mm", "image": "https://en.numista.com/catalogue/photos/.../...-360.jpg", "reverseImage": "https://en.numista.com/catalogue/photos/.../...-360.jpg", "url": "https://en.numista.com/19168", "composition": "Nickel plated steel", "weight": "5.1 g", "diameter": "23.664 mm", "thickness": "1.826 mm", "shape": "Round", "edge": "Smooth", "mintage": null, "valueEstimate": "USD 0.13", "grades": ["VG", "F", "VF", "XF", "AU", "UNC"], "detailReferences": "KM# 13a", "query": "canada 1 cent", "scrapedAt": "2026-06-24T19:20:00.000Z" } ``` Detail-only fields (`composition`, `weight`, `diameter`, `thickness`, `shape`, `edge`, `mintage`, `valueEstimate`, `grades`, `detailReferences`) are populated only when `scrapeDetails` is `true`; otherwise they are `null`. ### Use cases - Build coin/banknote price and reference databases - Identify and catalog raw coins for grading/arbitrage decisions - Power numismatic apps, Discord bots, and dealer inventory tools - Cross-reference KM# / N# catalog numbers at scale ### Notes - Numista value estimates and per-grade prices are partly JavaScript-rendered; the spec table, references, and core valuation are captured from the server-rendered HTML. - Please scrape responsibly. RESIDENTIAL proxies and modest concurrency keep the actor within polite rate limits. ### Pricing Pay-per-result: a small per-result charge plus a tiny actor-start fee. You only pay for data you receive. # Actor input Schema ## `searchQueries` (type: `array`): One or more keywords to search the Numista catalog, e.g. 'morgan dollar', 'canada 1 cent', '1965 penny'. Each query returns up to Max Results coins/banknotes. ## `maxResults` (type: `integer`): Maximum number of catalog entries to scrape per search query. Numista returns ~50 results per search page. Default is 50. ## `scrapeDetails` (type: `boolean`): If enabled, the scraper visits each coin's detail page to enrich records with composition, weight, diameter, thickness, shape, edge, mintage, value estimate, grades and full catalog references. Slower but far more data. ## `proxyConfiguration` (type: `object`): Proxy settings. Numista is behind Cloudflare and rate-limits aggressively; RESIDENTIAL proxies are strongly recommended and used by default. ## Actor input object example ```json { "searchQueries": [ "morgan dollar", "canada 1 cent" ], "maxResults": 50, "scrapeDetails": false, "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": [ "morgan dollar", "canada 1 cent" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/numista-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": [ "morgan dollar", "canada 1 cent", ] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/numista-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": [ "morgan dollar", "canada 1 cent" ] }' | apify call lulzasaur/numista-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/numista-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Numista Scraper - World Coin & Banknote Catalog", "description": "Scrape the Numista world coin and banknote catalog. Search by keyword (e.g. 'morgan dollar') and get title, country, years, denomination, composition, weight, diameter, mintage, KM#/N# references, value estimates, and images.", "version": "1.0", "x-build-id": "oEt7hrseb9SMVqEqS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~numista-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-numista-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~numista-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-numista-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~numista-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-numista-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "array", "description": "One or more keywords to search the Numista catalog, e.g. 'morgan dollar', 'canada 1 cent', '1965 penny'. Each query returns up to Max Results coins/banknotes.", "default": [ "morgan dollar" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results per Query", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of catalog entries to scrape per search query. Numista returns ~50 results per search page. Default is 50.", "default": 50 }, "scrapeDetails": { "title": "Scrape Detail Pages", "type": "boolean", "description": "If enabled, the scraper visits each coin's detail page to enrich records with composition, weight, diameter, thickness, shape, edge, mintage, value estimate, grades and full catalog references. Slower but far more data.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Numista is behind Cloudflare and rate-limits aggressively; RESIDENTIAL proxies are strongly recommended and used by default.", "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 } } } } } } } } } } ```