WikiArt Paintings Scraper
Pricing
from $3.62 / 1,000 results
WikiArt Paintings Scraper
Scrapes WikiArt paintings by art style and returns each painting as a flat row with title, artist, year, image URL, and full metadata.
Pricing
from $3.62 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
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WikiArt Paintings Scraper
Scrape WikiArt paintings by art style, up to a million per run. Each painting comes with its title, artist, year, style, genre, medium, museum location, image URL, and tags. No login or API key. Export to CSV, JSON, Excel, or XML.
WikiArt's public pages are a visual encyclopedia of 250,000+ paintings, but browsing them one by one is slow. This Actor reads the paintings-by-style listings directly, so you can collect a whole movement like Impressionism or Surrealism in one run. Every painting is returned as a flat row with its metadata, ready for analysis or your own art database.
| Who uses it | What they scrape WikiArt for |
|---|---|
| Art historians | Building a corpus of paintings from a specific movement for stylistic analysis |
| Data scientists | Creating a dataset of artwork metadata for machine learning or visualization |
| Educators | Gathering examples of a style to use in teaching materials |
| App developers | Populating an art discovery app with paintings and their details |
What it does
This Actor collects WikiArt paintings by art style and returns each one as a flat row with its title, artist, year, style, genre, medium, museum location, image URL, and tags.
- ๐จ Style browsing: pick from 14 preset styles like Impressionism, Cubism, or Ukiyo-e, or type any valid style slug.
- ๐ข Flexible volume: set a maximum from 1 to 1,000,000 paintings per run.
- ๐ฆ Structured output: each painting is a flat row with consistent fields, ready for CSV, JSON, Excel, or XML export.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with WikiArt data
๐ Build a style dataset.
An art historian collects all Impressionist paintings from WikiArt to analyze color palettes and brushwork across the movement.
๐ผ๏ธ Populate an art app.
A developer scrapes Surrealist paintings to seed a mobile app that shows a random artwork each day with its details.
๐ Train a classifier.
A data scientist gathers paintings from multiple styles to train a model that predicts art movement from image features.
๐ Create teaching materials.
An educator downloads a set of Baroque paintings with metadata to build a slideshow for an art history class.
Why choose this scraper
| What you get | |
|---|---|
| No API key | WikiArt has no official public API, so this Actor scrapes the public pages directly. |
| Complete metadata | Get title, artist, year, style, genre, medium, museum location, image URL, and tags for each painting. |
| Scalable | Collect up to a million paintings in a single run, limited only by your patience and storage. |
How it compares
This Actor focuses on browsing WikiArt by art style, while the other scrapers offer artist search and keyword search as well.
| Feature | ParseForge | WikiArt Scraper - Visual Art Encyclopedia | WikiArt Scraper |
|---|---|---|---|
| Browse by art style | Yes | Yes | Yes |
| Search by artist name | Not listed | Yes | Yes |
| Search by keyword | Not listed | Not listed | Yes |
| Fetch all paintings by a specific artist | Not listed | Not listed | Yes |
| Set maximum number of paintings | Yes | Not listed | Not listed |
| Preset style list | Yes | Not listed | Not listed |
Configure the run
Drive the Actor from a single art style slug, and set a maximum number of paintings to collect. The Actor reads the style's listing pages and returns each painting as a row. The Input tab lists every parameter.
A first run with the defaults:
{"maxItems": 10}
A larger pull:
{"maxItems": 200}
Pricing
Pay-per-result: $0.004 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $0.40 |
| 1,000 results | $4.00 |
| 10,000 results | $40.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the WikiArt Paintings Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to WikiArt through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/wikiart-paintings-scraper"
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check that the style slug you entered is valid. Use one of the preset styles or verify the slug on WikiArt's paintings-by-style page. Also ensure the style has paintings listed.
Why did the run stop before reaching my maxItems?
The Actor stops when it has collected all available paintings for that style. If the style has fewer paintings than your maxItems, you will get all of them.
Why are some fields empty?
Not all paintings on WikiArt have every field filled in. For example, some may lack a museum location or tags. Empty fields are returned as empty strings or null.
Why is the run slow?
The Actor respects WikiArt's servers by making requests sequentially. If you need faster scraping, consider increasing the maxItems or running multiple styles in parallel.
Can I scrape a style not in the preset list?
Yes, type any valid style slug from WikiArt. For example, 'abstract-art' or 'minimalism'. The slug must match exactly as it appears in the URL.
FAQ
| Question | Answer |
|---|---|
| What is WikiArt? | WikiArt is an online visual art encyclopedia with over 250,000 paintings from around the world, organized by artist, style, genre, and more. |
| Do I need an API key or login? | No. This Actor scrapes the public WikiArt pages directly, so you only need an Apify account to run it. |
| Can I scrape by artist or search term? | This Actor is focused on browsing by art style. For artist or keyword search, consider the other WikiArt scrapers on Apify. |
| What styles are available? | The input includes 14 preset styles: Impressionism, Surrealism, Cubism, Baroque, Expressionism, Romanticism, Realism, Post-Impressionism, Abstract Expressionism, Pop Art, Art Nouveau (Modern), Symbolism, Renaissance, and Ukiyo-e. You can also type any valid style slug from WikiArt. |
| How many paintings can I get? | You can set a maximum from 1 to 1,000,000 paintings per run. The actual number depends on how many paintings exist in that style on WikiArt. |
| What data does each painting include? | Each row includes the painting's title, artist, year, style, genre, medium, museum location, image URL, and tags. |
| Can I export the data? | Yes, you can export the results to CSV, JSON, Excel, or XML from the Apify dataset. |
| Is this legal? | You should only scrape public data that you are allowed to access and use. Check WikiArt's terms of service and your local laws before scraping. |
| How fast is it? | The Actor processes pages sequentially, so speed depends on the number of paintings and WikiArt's response time. It is designed to be polite and not overload the site. |
| Can I run it on a schedule? | Yes, you can set up a scheduled run in Apify to collect new paintings periodically. |
Related actors
Browse the full ParseForge collection for more scrapers.
๐ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
โ ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by WikiArt.org. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
