# Getty Museum Artworks Scraper (`automation-lab/getty-museum-open-content-scraper`) Actor

Export supplied Getty Museum artwork URLs or IDs as structured creator, date, material, dimensions, rights, image, credit, and provenance records.

- **URL**: https://apify.com/automation-lab/getty-museum-open-content-scraper.md
- **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community)
- **Categories:** Education
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.15 / 1,000 artwork extracteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Getty Museum Artworks Scraper

Export supplied **Getty Museum artworks** URLs or object IDs as structured, source-attributed catalog records. The Actor resolves Getty's public identifier, reads the official Museum Collection Linked Open Data record, and returns creator, date, material, dimensions, rights, credit, image, IIIF, and provenance fields.

It is designed for known-item enrichment and recurring cultural-heritage datasets. It does not search Getty or crawl the entire collection.

### What this Actor does

1. Accepts public object IDs such as `103RDF`, canonical artwork URLs, or collection UUIDs.
2. Resolves public IDs through Getty's own server-rendered identifier mapping.
3. Fetches the official Linked.Art JSON record from `data.getty.edu`.
4. Normalizes deeply nested museum data into one integration-friendly row per artwork.
5. Deduplicates entries that resolve to the same UUID.

No Getty login, API key, browser, or paid proxy is required. The Actor does not download image binaries; it exports Getty's public IIIF references.

### Who is it for?

- **Digital humanities researchers** create reproducible, source-linked corpora.
- **Art historians** compare makers, dates, media, measurements, and provenance.
- **Collection-data engineers** normalize Getty records alongside other museum datasets.
- **Educators and curators** prepare attributed object lists and teaching resources.
- **Rights reviewers** shortlist records while retaining the per-record rights statement.

### Data you can extract

| Group | Fields |
| --- | --- |
| Identity | `objectId`, `uuid`, `title`, `alternateTitle`, `accessionNumber` |
| Creator and date | `creator`, `creatorDetails`, `date`, `dateEarliest`, `dateLatest` |
| Physical description | `materials`, `medium`, `dimensions`, `measurements`, `classifications` |
| Collection context | `department`, `culture`, `creditLine`, `description` |
| Rights and media | `rights`, `metadataLicense`, `imageUrl`, `thumbnailUrl`, `iiifManifestUrl` |
| Research links | `provenance`, `sourceUrl`, `apiUrl`, `scrapedAt` |

Fields are `null` or empty when Getty does not publish that value. The Actor never fabricates missing catalog data.

### Getting started

1. Open the Actor input.
2. Add at least one Getty collection URL, object ID, or UUID to **Artwork URLs or IDs**.
3. Set **Maximum artworks** if you want to process only the start of a list.
4. Click **Start**.
5. Open the default dataset and use the Overview view or export JSON, CSV, Excel, XML, or RSS.

A minimal input is:

```json
{
  "artworks": ["103RDF"],
  "maxItems": 1
}
```

### Input reference

#### `artworks`

Required array with 1–500 strings. Supported forms:

```json
[
  "103RDF",
  "https://www.getty.edu/art/collection/object/103QZ9",
  "00c4d446-cfc0-4893-b13d-5de0a8878fdd"
]
```

Only `getty.edu` URLs in the public `/art/collection/object/` route are accepted. Inputs are deduplicated after UUID resolution.

#### `maxItems`

Optional integer from 1 to 500; default `100`. This caps supplied entries processed and does not trigger discovery.

### Output example

A current record has this shape (values shortened for readability):

```json
{
  "objectId": "103RDF",
  "uuid": "00c4d446-cfc0-4893-b13d-5de0a8878fdd",
  "title": "The Triumph of Venus",
  "accessionNumber": "78.PA.2",
  "creator": "Alessandro Magnasco",
  "creatorDetails": "Alessandro Magnasco (Italian, 1667 - 1749)",
  "date": "about 1720–1730",
  "materials": ["Oil Paint (Paint)", "Canvas (Textile Material)"],
  "medium": "Oil on canvas",
  "dimensions": ["Unframed: 118.1 × 148.6 cm (46 1/2 × 58 1/2 in.)"],
  "department": "Paintings (Curatorial Department)",
  "rights": "No Copyright",
  "imageUrl": "https://media.getty.edu/iiif/image/.../full/full/0/default.jpg",
  "provenance": ["sold to the J. Paul Getty Museum, 1978."],
  "sourceUrl": "https://www.getty.edu/art/collection/object/103RDF",
  "apiUrl": "https://data.getty.edu/museum/collection/object/00c4d446-cfc0-4893-b13d-5de0a8878fdd"
}
```

### How much does it cost to extract Getty Museum artworks?

Pay per event consists of a **$0.005 start fee** plus a per-artwork event. The initial BRONZE rate is **$0.001912 per exported artwork**, with lower rates on larger Apify plans. For example, excluding platform usage paid separately by the user:

- 1 artwork: about **$0.006912**
- 25 artworks: about **$0.0528**
- 100 artworks: about **$0.1962**

Only useful records pushed to the dataset incur the item event. Invalid identifiers, failed records, and duplicates are not charged as items. Check the Actor pricing tab for the applicable plan tier.

### Build recurring cultural-heritage datasets

Use a stable list of Getty IDs as Task input, schedule it weekly or monthly, and export each run to your data warehouse. Keep `uuid` as the durable join key and `scrapedAt` as the extraction timestamp. Compare normalized fields between runs to detect source changes in attribution, descriptions, rights, or provenance.

This Actor performs extraction only. Scheduling, notifications, history comparison, and downstream storage are configured through Apify Tasks, schedules, integrations, or your own pipeline.

### Legality and responsible use

Getty exposes collection metadata and record-specific rights information, but metadata and images can have different terms. Review `rights`, `metadataLicense`, and the canonical `sourceUrl` before publication or commercial reuse. A public image URL is not by itself a blanket rights grant.

Descriptions may contain authored text with separate terms. Respect Getty's terms, applicable copyright, attribution expectations, rate limits, and laws. Do not use this Actor to misrepresent ownership or rights clearance.

### Limits and failure behavior

- The Actor resolves supplied records only; it does not implement keyword search or whole-catalog crawling.
- Getty may omit values, and output preserves that uncertainty.
- Public object URLs require one mapping request before the JSON request; UUIDs need only the JSON request.
- Transient HTTP statuses are retried up to three times with bounded backoff.
- One invalid item is logged and does not discard valid records in the same batch.
- If no supplied item resolves, the run fails instead of silently returning a misleading success.
- Image binaries are not downloaded or stored.

### Integrations and exports

From the default dataset you can:

- export JSON, JSONL, CSV, Excel, XML, or RSS;
- send records to Google Sheets through an Apify integration;
- trigger a webhook after a scheduled refresh;
- read dataset items from Python, JavaScript, notebooks, or ETL tools;
- join records across runs by `uuid` or `accessionNumber`.

Nested `measurements` and `provenance` are richest in JSON exports. Flatten those arrays explicitly when loading CSV into a relational table.

### Run through the Apify API

Replace `YOUR_TOKEN` with an Apify API token.

#### cURL

```bash
curl -X POST \
  "https://api.apify.com/v2/acts/automation-lab~getty-museum-open-content-scraper/runs?token=YOUR_TOKEN&waitForFinish=120" \
  -H "Content-Type: application/json" \
  -d '{"artworks":["103RDF"],"maxItems":1}'
```

#### JavaScript

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/getty-museum-open-content-scraper').call({
  artworks: ['103RDF'],
  maxItems: 1,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
from apify_client import ApifyClient
client = ApifyClient(token="YOUR_TOKEN")
run = client.actor("automation-lab/getty-museum-open-content-scraper").call(
    run_input={"artworks": ["103RDF"], "maxItems": 1}
)
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)
```

### Use with MCP and AI assistants

Add the Apify MCP server to Claude Code:

```bash
claude mcp add --transport http apify \
  "https://mcp.apify.com?tools=automation-lab/getty-museum-open-content-scraper"
```

#### Claude Desktop, Cursor, and VS Code setup

Desktop/editor configuration:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=automation-lab/getty-museum-open-content-scraper"
    }
  }
}
```

Example prompts:

- “Export the Getty record for object 103RDF and summarize its rights and provenance.”
- “Normalize these Getty collection URLs, then list accession numbers, creators, dates, and IIIF manifests.”

### Troubleshooting

**Why did my run fail with no records?** Verify that each value is a current Getty Museum collection ID, supported collection URL, or 36-character collection UUID. The per-item log names unresolved values.

**Why is a field empty?** Getty's Linked Open Data record may not publish it. Use `apiUrl` and `sourceUrl` to inspect the source record.

**Why is an image absent?** Not every catalog record exposes a representation. The Actor does not substitute unrelated media.

**Why did two inputs produce one row?** They resolved to the same collection UUID and were intentionally deduplicated.

### FAQ

**Does this scrape Getty Images?** No. This Actor targets the J. Paul Getty Museum collection on `getty.edu`, not the Getty Images commercial service.

**Can it search for an artist?** No. Supply known artwork URLs or IDs. This narrow contract keeps runs deterministic and suitable for recurring enrichment.

**Does it download high-resolution images?** No. It exports public Getty IIIF image and manifest references without paying transfer cost for unwanted files.

**Do I need a proxy?** No. The current official public routes work through direct HTTP.

**Can I process the same list repeatedly?** Yes. Stable identifiers and source URLs make the output suitable for scheduled refreshes and change detection downstream.

### Related automation-lab Actors

This Actor is intentionally standalone within the current automation-lab portfolio: no existing Actor targets another museum collection with an equivalent identity-and-provenance contract. Use Apify dataset exports and integrations to combine its results with your other cultural-heritage sources.

### Support

When reporting a problem, include the run link and a non-sensitive example identifier. Do not include API tokens. Getty can change its public data model; a concrete failed record helps distinguish a source omission from a parser regression.

# Actor input Schema

## `artworks` (type: `array`):

Getty Museum collection URLs, public object IDs such as 103RDF, or data.getty.edu collection UUIDs. Duplicates are removed.

## `maxItems` (type: `integer`):

Maximum number of supplied entries to process. The Actor never discovers additional artworks.

## Actor input object example

```json
{
  "artworks": [
    "103RDF",
    "https://www.getty.edu/art/collection/object/103QZ9"
  ],
  "maxItems": 20
}
```

# Actor output Schema

## `overview` (type: `string`):

Default dataset containing one normalized row per resolved Getty artwork.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "artworks": [
        "103RDF",
        "https://www.getty.edu/art/collection/object/103QZ9"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation-lab/getty-museum-open-content-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "artworks": [
        "103RDF",
        "https://www.getty.edu/art/collection/object/103QZ9",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("automation-lab/getty-museum-open-content-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "artworks": [
    "103RDF",
    "https://www.getty.edu/art/collection/object/103QZ9"
  ]
}' |
apify call automation-lab/getty-museum-open-content-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automation-lab/getty-museum-open-content-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/DJVrRtV0d0B7TXsNy/builds/q76aEgS6YJmBIDzlQ/openapi.json