# Artsy Art Marketplace Scraper (`lulzasaur/artsy-scraper`) Actor Scrape artworks, artists, and galleries from Artsy.net. Get titles, prices, mediums, dimensions, artist bios, gallery names, and images via the public GraphQL API. - **URL**: https://apify.com/lulzasaur/artsy-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, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## Artsy Art Marketplace Scraper Scrape artworks, artists, and galleries from [Artsy.net](https://www.artsy.net/) — the world's largest online art marketplace. Uses the public Artsy GraphQL API (Metaphysics) with cursor-based pagination. ### Search Types | Type | What You Get | |------|-------------| | **Artworks** | Title, artist, date, medium, dimensions, price, gallery, category, image URL | | **Artists** | Name, nationality, birthday, bio, image URL | | **Galleries** | Name, location, bio, image URL | ### Output Fields (Artworks) | Field | Description | |-------|-------------| | `title` | Artwork title | | `artist` | Artist name | | `date` | Year or date range | | `medium` | Materials used (e.g. "Oil on canvas") | | `dimensions` | Physical dimensions | | `imageUrl` | Image URL | | `price` | Sale/price message | | `gallery` | Gallery or partner name | | `category` | Artwork category (Painting, Sculpture, etc.) | | `artsyUrl` | Direct link on Artsy | | `scrapedAt` | ISO timestamp | ### Output Fields (Artists) | Field | Description | |-------|-------------| | `name` | Artist name | | `birthday` | Birth year | | `nationality` | Artist nationality | | `bio` | Short biography | | `imageUrl` | Artist portrait URL | | `artsyUrl` | Direct link on Artsy | | `scrapedAt` | ISO timestamp | ### Use Cases - **Art market research**: Track prices, mediums, and trends across categories - **Artist discovery**: Find artists by keyword, nationality, or period - **Gallery analysis**: Map gallery inventory and pricing strategies - **Collection building**: Search for specific artworks, mediums, or periods - **Price monitoring**: Track sale messages and availability across galleries - **Data journalism**: Analyze the art market at scale ### Example Output (Artwork) ```json { "title": "Guernica Study", "artist": "Pablo Picasso", "date": "1937", "medium": "Oil on canvas", "dimensions": "24 x 36 in", "imageUrl": "https://d32dm0rphc51dk.cloudfront.net/...", "price": "Contact for price", "gallery": "Gagosian", "category": "Painting", "artsyUrl": "https://www.artsy.net/artwork/...", "scrapedAt": "2026-04-25T12:00:00.000Z" } ```` ### Example Output (Artist) ```json { "name": "Banksy", "birthday": "1974", "nationality": "British", "bio": "Banksy is an anonymous England-based street artist...", "imageUrl": "https://d32dm0rphc51dk.cloudfront.net/...", "artsyUrl": "https://www.artsy.net/artist/banksy", "scrapedAt": "2026-04-25T12:00:00.000Z" } ``` ### Tips - Use broad keywords like "abstract" or "sculpture" for large datasets - Use artist names like "picasso" or "warhol" for focused results - The `artworks` search type returns the most detailed data including pricing - Set `maxResults` up to 5000 for comprehensive market analysis *** ### Run on Apify This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) — a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features. [Try Apify free ->](https://apify.com/?fpr=lulzasaur) # Actor input Schema ## `searchQuery` (type: `string`): Search keyword (e.g. 'picasso', 'banksy', 'contemporary art', 'sculpture'). ## `searchType` (type: `string`): What to search for on Artsy. ## `maxResults` (type: `integer`): Maximum number of results to return. ## `proxyConfiguration` (type: `object`): Optional proxy to use for requests. ## Actor input object example ```json { "searchQuery": "picasso", "searchType": "artworks", "maxResults": 100 } ``` # 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 = { "searchQuery": "picasso" }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/artsy-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 = { "searchQuery": "picasso" } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/artsy-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 '{ "searchQuery": "picasso" }' | apify call lulzasaur/artsy-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/artsy-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Artsy Art Marketplace Scraper", "description": "Scrape artworks, artists, and galleries from Artsy.net. Get titles, prices, mediums, dimensions, artist bios, gallery names, and images via the public GraphQL API.", "version": "1.0", "x-build-id": "bpkZm64xwKcCb6oNM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~artsy-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-artsy-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~artsy-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-artsy-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~artsy-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-artsy-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search keyword (e.g. 'picasso', 'banksy', 'contemporary art', 'sculpture')." }, "searchType": { "title": "Search Type", "enum": [ "artworks", "artists", "galleries" ], "type": "string", "description": "What to search for on Artsy.", "default": "artworks" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of results to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use for requests." } } }, "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 } } } } } } } } } } ```