WikiArt Scraper - Visual Art Encyclopedia avatar

WikiArt Scraper - Visual Art Encyclopedia

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from $10.00 / 1,000 results

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WikiArt Scraper - Visual Art Encyclopedia

WikiArt Scraper - Visual Art Encyclopedia

Scrape artworks from wikiart.org. Search by artist name or art style. Get titles, years, styles, genres, mediums, museum locations, image URLs, and tags for 250K+ artworks.

Pricing

from $10.00 / 1,000 results

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lulz bot

lulz bot

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WikiArt Scraper

Extract artwork data from WikiArt.org, the world's largest visual art encyclopedia with 250,000+ artworks from 3,000+ artists.

What does WikiArt Scraper do?

This scraper extracts structured artwork data from WikiArt.org. Search by artist name or art style to get detailed metadata for paintings, sculptures, and other visual artworks.

For each artwork, you get:

  • Title, artist name, and year
  • Art style (e.g., Impressionism, Cubism, Realism)
  • Genre (e.g., landscape, portrait, still life)
  • Medium and technique
  • Physical dimensions
  • Museum/gallery location
  • High-resolution image URL
  • Tags and description
  • Direct WikiArt URL

How to use

  1. Add search queries -- Enter artist names (e.g., "monet", "van gogh", "picasso") or art styles (e.g., "impressionism", "cubism") in the Search Queries field.

  2. Set max artworks -- Choose how many artworks to scrape (default: 100). WikiArt has hundreds or thousands of works per artist.

  3. Enable full details (optional) -- Turn on "Scrape Full Details" to get style, genre, medium, dimensions, location, tags, and description for each artwork. This is slower but provides much richer data.

  4. Run the scraper -- Click "Start" and the scraper will resolve your queries, fetch artwork listings, and optionally enrich each with full metadata.

Input examples

Scrape Monet's artworks (basic)

{
"searchQueries": ["monet"],
"maxListings": 50
}

Multiple artists with full details

{
"searchQueries": ["van gogh", "rembrandt", "vermeer"],
"maxListings": 200,
"scrapeDetails": true
}

Search by art style

{
"searchQueries": ["impressionism", "art nouveau"],
"maxListings": 100,
"scrapeDetails": true
}

Output example

Each artwork in the dataset looks like this:

{
"title": "Water Lilies",
"artist": "Claude Monet",
"artistUrl": "https://www.wikiart.org/en/claude-monet",
"year": 1906,
"yearAsString": "1906",
"style": "Impressionism",
"genre": "flower painting",
"medium": "Oil on canvas",
"dimensions": "89.9 x 94.1 cm",
"location": "Art Institute of Chicago, Chicago, IL, US",
"imageUrl": "https://uploads0.wikiart.org/images/claude-monet/water-lilies-1906.jpg!Large.jpg",
"tags": "flowers-and-plants, Water lilies",
"description": null,
"url": "https://www.wikiart.org/en/claude-monet/water-lilies-1906",
"contentId": 212956,
"searchQuery": "monet",
"scrapedAt": "2026-04-25T12:00:00.000Z"
}

How it works

  1. Artist resolution -- Each search query is first checked against WikiArt's autocomplete API to find matching artists.
  2. Artwork listing -- If an artist is found, all their artworks are fetched via WikiArt's internal API.
  3. Search fallback -- If no artist matches, the scraper falls back to WikiArt's general search.
  4. Detail enrichment -- When "Scrape Full Details" is enabled, each artwork's detail endpoint is queried for style, genre, medium, dimensions, location, tags, and description.

Tips

  • Basic mode is fast -- Without details, you can scrape hundreds of artworks in seconds since the artist API returns all works at once.
  • Detail mode is thorough -- Enabling details adds ~0.3s per artwork but gives you rich metadata (style, genre, medium, location, tags).
  • Artist names work best -- The scraper resolves artist names via autocomplete, so "monet" and "claude monet" both work.
  • Art styles also work -- Searching for "impressionism" or "cubism" returns artworks from the general search index.

Pricing

This scraper uses pay-per-event pricing. You are charged $0.005 per artwork scraped.

ArtworksCost
100$0.50
500$2.50
1,000$5.00
5,000$25.00

Integrations

Connect WikiArt Scraper with other apps and services using Apify integrations. Export data to Google Sheets, Slack, Zapier, Make, GitHub, and more. Or use the Apify API to access your data programmatically.