# Cleveland Museum of Art Scraper (`crawlerbros/cleveland-museum-of-art-scraper`) Actor Scrape the Cleveland Museum of Art's open-access collection of 65,000+ artworks. Search by keyword, filter by artwork type or department, and extract titles, artists, dates, techniques, dimensions, and high-resolution images. - **URL**: https://apify.com/crawlerbros/cleveland-museum-of-art-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Integrations - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Cleveland Museum of Art Scraper Scrape the Cleveland Museum of Art's open-access collection of 65,000+ artworks. Search by keyword, filter by artwork type (paintings, sculptures, photographs, etc.) or by museum department. Extract titles, artists, dates, techniques, dimensions, and high-resolution images — completely free, no authentication required. ### Features - **Search** artworks by any keyword - **Browse by artwork type** — Painting, Drawing, Print, Sculpture, Photograph, Textile, and more - **Browse by department** — European Painting, Asian Art, Photography, Ancient Art, and more - Filter to only return artworks with available images - Uses the official Cleveland Museum of Art Open Access API ### Data Source This actor uses the Cleveland Museum of Art's public REST API at `openaccess-api.clevelandart.org`. The museum provides free, unrestricted access to its collection data under a Creative Commons Zero (CC0) license — no API key required. ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | `search`, `byType`, or `byDepartment` | | `searchQuery` | string | Keyword search (mode=search) | | `artworkType` | select | Artwork type (mode=byType) | | `department` | select | Museum department (mode=byDepartment) | | `hasImage` | boolean | Only return artworks with images (default: true) | | `maxItems` | integer | Max records to return (default: 50) | ### Output | Field | Description | |-------|-------------| | `id` | CMA artwork ID | | `title` | Artwork title | | `type` | Artwork type (Painting, Sculpture, etc.) | | `department` | Museum department | | `culture` | Cultural origin | | `technique` | Creation technique | | `medium` | Medium/materials | | `artistName` | Primary artist name | | `artistRole` | Artist's role | | `dateCreated` | Creation date or range | | `period` | Art period/movement | | `dimensions` | Physical dimensions | | `creditLine` | Acquisition credit | | `accessionNumber` | Museum accession number | | `imageUrl` | High-resolution image URL | | `sourceUrl` | Cleveland Museum collection page URL | | `scrapedAt` | ISO timestamp | ### FAQ **Is this free to use?** Yes. The Cleveland Museum of Art Open Access API is completely free with no rate limits or authentication. **Are the images free to use?** Many works are in the public domain under CC0. Check `copyrightLine` for individual works. **How many artworks are in the collection?** Over 65,000 artworks spanning 6,000 years of art history. # Actor input Schema ## `mode` (type: `string`): What to scrape. ## `searchQuery` (type: `string`): Keyword to search artworks (mode=search). E.g. 'landscape', 'portrait', 'ancient Egypt'. ## `artworkType` (type: `string`): Filter by artwork type for mode=byType. ## `department` (type: `string`): Museum department for mode=byDepartment. ## `hasImage` (type: `boolean`): Only return artworks with available images. ## `maxItems` (type: `integer`): Hard cap on emitted records. ## Actor input object example ```json { "mode": "search", "searchQuery": "landscape", "artworkType": "Painting", "department": "Photography", "hasImage": true, "maxItems": 50 } ```` # Actor output Schema ## `artworks` (type: `string`): Dataset containing all scraped Cleveland Museum of Art artworks. # 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 = { "mode": "search", "searchQuery": "landscape", "artworkType": "Painting", "department": "Photography", "hasImage": true, "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/cleveland-museum-of-art-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 = { "mode": "search", "searchQuery": "landscape", "artworkType": "Painting", "department": "Photography", "hasImage": True, "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/cleveland-museum-of-art-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 '{ "mode": "search", "searchQuery": "landscape", "artworkType": "Painting", "department": "Photography", "hasImage": true, "maxItems": 50 }' | apify call crawlerbros/cleveland-museum-of-art-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/cleveland-museum-of-art-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cleveland Museum of Art Scraper", "description": "Scrape the Cleveland Museum of Art's open-access collection of 65,000+ artworks. Search by keyword, filter by artwork type or department, and extract titles, artists, dates, techniques, dimensions, and high-resolution images.", "version": "1.0", "x-build-id": "wGtuimkn4EZlTmrSm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~cleveland-museum-of-art-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-cleveland-museum-of-art-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~cleveland-museum-of-art-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-cleveland-museum-of-art-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~cleveland-museum-of-art-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-cleveland-museum-of-art-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "byType", "byDepartment" ], "type": "string", "description": "What to scrape.", "default": "search" }, "searchQuery": { "title": "Search query", "type": "string", "description": "Keyword to search artworks (mode=search). E.g. 'landscape', 'portrait', 'ancient Egypt'.", "default": "landscape" }, "artworkType": { "title": "Artwork type (mode=byType)", "enum": [ "Painting", "Drawing", "Print", "Sculpture", "Photograph", "Textile", "Ceramic", "Metalwork", "Jewelry", "Arms and Armor", "Musical Instruments", "Coin", "Furniture", "Glass", "Manuscript", "Map" ], "type": "string", "description": "Filter by artwork type for mode=byType.", "default": "Painting" }, "department": { "title": "Department (mode=byDepartment)", "enum": [ "African Art", "American Painting and Sculpture", "Ancient Art", "Arms and Armor", "Asian Art", "Contemporary Art", "Decorative Art and Design", "Drawings", "Egyptian and Ancient Near Eastern Art", "European Painting and Sculpture", "Greek and Roman Art", "Indian and Southeast Asian Art", "Islamic Art", "Japanese Art", "Medieval Art", "Musical Arts", "Performing Arts", "Photography", "Prints", "Textiles" ], "type": "string", "description": "Museum department for mode=byDepartment.", "default": "Photography" }, "hasImage": { "title": "Images only", "type": "boolean", "description": "Only return artworks with available images.", "default": true }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on emitted records.", "default": 50 } } }, "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 } } } } } } } } } } ```