Open-Access Museum Artwork Metadata
1000–2025
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- Not documented — confirm reuse terms with the seller
- Source / creator
- Supplier-cited: Metropolitan Museum of Art; Art Institute of Chicago; Cleveland Museum of Art; Rijksmuseum
- Collection method
- Supplier description: A consolidated metadata catalog of 10,000+ artworks from the worlds leading open-access museum collections. Each record includes artwork title, artist, creation date, medium, dimensions, department, culture/origin, classification, and direct image URLs. Sourced from the Metropolitan Museum of Art, Art Institute of Chicago, Cleveland Museum of Art, and Rijksmuseum open-access APIs. Ideal for training image classification models, art historical analysis, cultural heritage research, and recommendation systems. All records are normalized to a common schema with consistent field naming and formatting.
- Coverage / snapshot
- 1000–2025
- Data last updated
- Not documented
- Update schedule
- Not documented
Rows are evenly spaced within the inspected input, subject to the preview byte budget; this is not a new random sample of the full dataset. Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: Art Institute of Chicago: https://api.artic.edu/docs/; Cleveland Museum of Art: https://openaccess-api.clevelandart.org/; Rijksmuseum: https://data.rijksmuseum.nl/
Sample structure score: 83.8 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 34.5 / 50 | 138 of 200 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 29.3 / 30 | 135 of 138 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| source_museum | 0 / 10 | string | 0 / 10 |
| object_id | 0 / 10 | string | 0 / 10 |
| title | 0 / 10 | string | 0 / 10 |
| artist_name | 2 / 10 | string | 0 / 8 |
| artist_nationality | 10 / 10 | unknown | 0 / 0 |
| artist_birth_year | 10 / 10 | unknown | 0 / 0 |
| artist_death_year | 10 / 10 | unknown | 0 / 0 |
| creation_date | 1 / 10 | string | 3 / 9 |
| creation_year_start | 1 / 10 | number | 0 / 9 |
| creation_year_end | 1 / 10 | number | 0 / 9 |
| medium | 1 / 10 | string | 0 / 9 |
| dimensions | 3 / 10 | string | 0 / 7 |
| department | 0 / 10 | string | 0 / 10 |
| classification | 1 / 10 | string | 0 / 9 |
| culture | 5 / 10 | string | 0 / 5 |
| period | 10 / 10 | unknown | 0 / 0 |
| image_url | 1 / 10 | string | 0 / 9 |
| is_public_domain | 0 / 10 | boolean | 0 / 10 |
| credit_line | 1 / 10 | string | 0 / 9 |
| country_of_origin | 5 / 10 | string | 0 / 5 |
About this data
Consolidated metadata catalog from the Metropolitan Museum of Art, Art Institute of Chicago, Cleveland Museum of Art, and Rijksmuseum, including artwork title, artist, creation date, medium, dimensions, department, culture/origin, and classification with direct image URLs. Records normalized to consistent schema.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py 0baeb51c-c6ed-4678-91c0-90097ed27440 --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| source_museum | string | |
| object_id | string | |
| title | string | |
| artist_name | string | |
| artist_nationality | unknown | |
| artist_birth_year | unknown | |
| artist_death_year | unknown | |
| creation_date | string | |
| creation_year_start | number | |
| creation_year_end | number | |
| medium | string | |
| dimensions | string | |
| department | string | |
| classification | string | |
| culture | string | |
| period | unknown | |
| image_url | string | |
| is_public_domain | boolean | |
| credit_line | string | |
| country_of_origin | string |
Sample Data
Preview a sample of the data before downloading.
Public sample only. Sign in to retrieve the full dataset, including free datasets.
For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Open-Access Museum Artwork Met" })
// Found: 0baeb51c-c6ed-4678-91c0-90097ed27440
get_download_url({ dataset_id: "0baeb51c-c6ed-4678-91c0-90097ed27440" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/0baeb51c-c6ed-4678-91c0-90097ed27440/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"