# Chicago Art Institute Scraper (`crawlerbros/chicago-art-scraper`) Actor Scrape artwork metadata from the Art Institute of Chicago's public API. Search by artist, medium, department, or artwork type. Returns title, artist, date, medium, dimensions, department, image URLs, and more. No API key required. - **URL**: https://apify.com/crawlerbros/chicago-art-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Developer tools, Automation, Integrations - **Stats:** 2 total users, 1 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 ## Chicago Art Institute Scraper Scrape artwork metadata from the [Art Institute of Chicago](https://www.artic.edu)'s public API. No API key required. ### Features - **Search** artworks by keyword (artist name, title, medium) - **Browse by department** (Paintings, Photography, etc.) - **Browse by artwork type** (Painting, Sculpture, Drawing, etc.) - **Trending** — latest/recently updated artworks - Filter to **public domain** artworks only - Returns IIIF image URLs for direct download ### Input | Field | Type | Description | |---|---|---| | `mode` | select | `search`, `byDepartment`, `byArtworkType`, `trending` | | `searchQuery` | string | Keyword to search (mode=search) | | `department` | string | Department name filter | | `artworkType` | select | Painting, Sculpture, Photograph, etc. | | `publicDomainOnly` | boolean | Filter to public domain works only | | `maxItems` | integer | Max records (default: 50) | ### Output | Field | Description | |---|---| | `artworkId` | AIC numeric artwork ID | | `title` | Artwork title | | `artistDisplay` | Artist name and dates | | `dateDisplay` | Date of creation | | `mediumDisplay` | Medium/material | | `dimensions` | Physical dimensions | | `department` | Museum department | | `artworkType` | Type of artwork | | `placeOfOrigin` | Country/region of origin | | `style` | Art style | | `isPublicDomain` | Whether freely usable | | `imageUrl` | Full-resolution IIIF image | | `thumbnailUrl` | 200px thumbnail | | `sourceUrl` | AIC website URL | | `scrapedAt` | ISO timestamp | | `recordType` | Always `"artwork"` | ### FAQ **Is this free?** Yes — the AIC API is fully public and free. **Can I use the images?** Images marked `isPublicDomain: true` are free to use. Others may be under copyright. **How many artworks are available?** 130,000+ artworks across all departments. # Actor input Schema ## `mode` (type: `string`): What to fetch. ## `artworkId` (type: `integer`): The numeric artwork ID from the Art Institute of Chicago. E.g. 27992 for 'A Sunday on La Grande Jatte'. ## `searchQuery` (type: `string`): Keyword search for artworks (mode=search). E.g. 'monet', 'landscape', 'portrait'. ## `department` (type: `string`): Department name to filter by, e.g. 'Painting and Sculpture of Europe', 'Photography'. ## `artworkType` (type: `string`): Artwork type to filter by, e.g. 'Painting', 'Sculpture', 'Drawing and Watercolor', 'Photograph'. ## `publicDomainOnly` (type: `boolean`): Only return artworks that are in the public domain (free to use). ## `maxItems` (type: `integer`): Hard cap on emitted records. ## Actor input object example ```json { "mode": "search", "searchQuery": "monet", "publicDomainOnly": false, "maxItems": 50 } ```` # Actor output Schema ## `items` (type: `string`): Dataset containing all scraped records. # 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": "monet", "publicDomainOnly": false, "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/chicago-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": "monet", "publicDomainOnly": False, "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/chicago-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": "monet", "publicDomainOnly": false, "maxItems": 50 }' | apify call crawlerbros/chicago-art-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/chicago-art-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Chicago Art Institute Scraper", "description": "Scrape artwork metadata from the Art Institute of Chicago's public API. Search by artist, medium, department, or artwork type. Returns title, artist, date, medium, dimensions, department, image URLs, and more. No API key required.", "version": "1.0", "x-build-id": "1TZKRgu6dkfj9FUW3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~chicago-art-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-chicago-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~chicago-art-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-chicago-art-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~chicago-art-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-chicago-art-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "byDepartment", "byArtworkType", "trending", "byId" ], "type": "string", "description": "What to fetch.", "default": "search" }, "artworkId": { "title": "Artwork ID (mode=byId)", "type": "integer", "description": "The numeric artwork ID from the Art Institute of Chicago. E.g. 27992 for 'A Sunday on La Grande Jatte'." }, "searchQuery": { "title": "Search query", "type": "string", "description": "Keyword search for artworks (mode=search). E.g. 'monet', 'landscape', 'portrait'.", "default": "monet" }, "department": { "title": "Department (mode=byDepartment)", "type": "string", "description": "Department name to filter by, e.g. 'Painting and Sculpture of Europe', 'Photography'." }, "artworkType": { "title": "Artwork type (mode=byArtworkType)", "enum": [ "Painting", "Sculpture", "Drawing and Watercolor", "Photograph", "Print", "Textile", "Decorative Arts", "Installation" ], "type": "string", "description": "Artwork type to filter by, e.g. 'Painting', 'Sculpture', 'Drawing and Watercolor', 'Photograph'." }, "publicDomainOnly": { "title": "Public domain only", "type": "boolean", "description": "Only return artworks that are in the public domain (free to use).", "default": false }, "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 } } } } } } } } } } ```