🖼️ Art Museum Intelligence — Met & Art Institute Collections as Structured Data

Search world-class art collections from the Metropolitan Museum of Art and the Art Institute of Chicago and get clean, structured records with high-resolution images on every artwork. One query returns paintings, sculptures, photographs and artifacts complete with artist, date, medium, department, culture and public-domain status — pulled from both museums' official, free, open-access APIs. Whether you're populating a digital gallery, teaching art history, or grounding an AI recommendation engine in real metadata, this actor turns museum collections into ready-to-use data. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🖼️ What is the Art Museum Intelligence?

It turns a museum search into a structured dataset. Give it a search term (and optionally a department, an artist filter, or an on-display / has-image toggle) and pick the Met, the Art Institute of Chicago, or both. The actor queries each museum's open API, fetches full artwork details, and returns one clean record per piece — with artist info, dates, medium, dimensions, classification and a high-resolution image URL. Use it to build curated galleries, research collections by period or artist, or source public-domain art for articles and apps.

What data does it extract?

• Title, artist, artist bio and nationality
• Date plus begin_date / end_date (Met) for precise dating
• Medium, dimensions, department and classification
• Culture, period and dynasty for historical context
• High-resolution images — primary_image, primary_image_small and additional_images
• Public-domain flag (is_public_domain) for safe reuse
• On-view status (is_on_view) and gallery_number (Met)
• Credit line, accession number and the museum's object_url
• Subjects and artwork type (Art Institute of Chicago)

⬇️ Input

Search one museum or both, then narrow with filters:

Field	Description
museum	artic (Art Institute, default), met (Metropolitan), or both
searchQuery	Search term, e.g. sunflowers, Monet, impressionism
department	Department filter (Met only), e.g. European Paintings, Asian Art
artistFilter	Keep only works by a matching artist name
onDisplay	Only works currently on display (Met only)
hasImages	Only works that have images (default true)
maxResults	Cap the run (1–200, default 50)

Example input

{
  "museum": "both",
  "searchQuery": "impressionism",
  "department": "European Paintings",
  "artistFilter": "Monet",
  "hasImages": true,
  "maxResults": 50
}

⬆️ Output

Every artwork is one clean row (view as a table, or export JSON / CSV / Excel):

{
  "id": 436532,
  "museum": "Metropolitan Museum of Art",
  "title": "Wheat Field with Cypresses",
  "artist": "Vincent van Gogh",
  "artist_bio": "Dutch, Zundert 1853–1890 Auvers-sur-Oise",
  "artist_nationality": "Dutch",
  "date": "1889",
  "begin_date": 1889,
  "end_date": 1889,
  "medium": "Oil on canvas",
  "dimensions": "28 7/8 × 36 3/4 in. (73.2 × 93.4 cm)",
  "department": "European Paintings",
  "classification": "Paintings",
  "culture": null,
  "period": null,
  "credit_line": "Purchase, The Annenberg Foundation Gift, 1993",
  "accession_number": "1993.132",
  "is_public_domain": true,
  "primary_image": "https://images.metmuseum.org/CRDImages/ep/original/DT1567.jpg",
  "primary_image_small": "https://images.metmuseum.org/CRDImages/ep/web-large/DT1567.jpg",
  "additional_images": [],
  "gallery_number": "822",
  "is_on_view": true,
  "object_url": "https://www.metmuseum.org/art/collection/search/436532",
  "extracted_at": "2026-06-26T15:30:00.000000"
}

💡 Use cases

• 🎨 Art & gallery apps: populate digital galleries and exhibitions with curated, image-rich collections.
• 📚 Educational platforms: teach art history with real artworks, artist bios and historical context.
• 🤖 AI recommendation engines: ground art recommendations and image search in authentic museum metadata.
• ✍️ Content creators: source high-resolution public-domain artworks for articles, decks and signage.

❓ FAQ

Which museums are covered? The Metropolitan Museum of Art and the Art Institute of Chicago. Set museum to met, artic, or both to search either or together.

How do I search the collections? Enter a searchQuery (e.g. Monet or Egyptian), pick a museum, optionally add a department or artist filter, then Run.

Do I need an API key? No. Both museums provide free, official open-access APIs — no key, no login required.

Are the images high-resolution? Yes — primary_image returns the museum's high-res image when available, plus a web-large version and any additional images.

Can I filter by department or artist? Yes — use department (Met only) to focus on a collection area, and artistFilter to keep only works by a matching artist.

Can I get only artworks currently on display? Yes — set onDisplay: true (Met only). Met records also include is_on_view and gallery_number.

Which works can I reuse freely? Check the is_public_domain flag — many works are public domain, but always verify rights and attribution per artwork before reuse.

What's the difference between the two museums' records? The Met provides artist bio, begin/ end dates, dynasty and gallery info; the Art Institute adds subjects and artwork_type. Both share core fields like title, artist, date, medium and image URL.

Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Is this legal? It uses the official open-access APIs of the Met and the Art Institute of Chicago. Many works are public domain; you remain responsible for verifying rights and attribution for each artwork before reuse.

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Keywords: art museum API, Met Museum scraper, Metropolitan Museum of Art API, Art Institute of Chicago API, artwork data, art collection scraper, public domain art, high resolution art images, art metadata, paintings dataset, art history data, museum open access, artist data, art research, cultural heritage data.