Met Museum Art Collection Search (Free)
Pricing
Pay per usage
Met Museum Art Collection Search (Free)
Search 470k+ artworks from The Metropolitan Museum of Art open access collection. Artist, date, medium, department, high-res images and tags. No API key. Clean JSON for art datasets.
Pricing
Pay per usage
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1
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2 days ago
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What it does. Search The Metropolitan Museum of Art's open access collection (470,000+ artworks) and get clean, structured JSON for each object: title, artist, nationality and bio, date, medium, dimensions, department, culture, classification, credit line, public-domain status, high-resolution image URLs, subject tags and the object page URL. No API key. Ideal for art datasets, education, research, digital exhibitions, or creative apps (musée, œuvres d'art, collection). You only pay your Apify platform usage.
Input
| Field | Type | Description |
|---|---|---|
queries | array of strings | Keywords to search (artist, subject, object type). |
maxResults | integer | Max artworks returned per term (default 10). |
hasImages | boolean | Only return objects that have an image (default true). |
Output (example)
{"status": "found","query": "Van Gogh","objectID": 436524,"title": "Wheat Field with Cypresses","artist": "Vincent van Gogh","artistNationality": "Dutch","objectDate": "1889","medium": "Oil on canvas","department": "European Paintings","isPublicDomain": true,"primaryImage": "https://images.metmuseum.org/CRDImages/ep/original/DP-41223-001.jpg","objectURL": "https://www.metmuseum.org/art/collection/search/436524"}
Each result carries a status: found, not_found, or error. The actor never crashes on a term with no matches.
Use cases
- Build an art dataset or digital gallery with high-res images.
- Education and art-history research.
- Power a "random masterpiece" or art-discovery app.
- Enrich a catalog with public-domain artwork metadata.
Limitations & fair use
Data from The Met Collection API (open access, CC0 for public-domain works — always check each object's rights). Search returns object IDs which the actor hydrates one by one, so large maxResults runs take longer. Polite delays are applied.
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