artfinder-scraper

Scrapes both artworks and artist profiles from Artfinder.com, including per-artist rollup stats (total/sold artworks, average price, medium mix) computed from the artist's full catalog — not a sample.

Contents

• Key features
• Output
• Input
• Input examples
• Incremental (delta) mode
• How to scrape Artfinder.com
• Known gaps
• You might also like
• FAQ

🔑 Key features

• Two entity types, one Actor. Set entityType to artworks or artists — same design as this Actor's siblings for SaatchiArt.com and Artmajeur.com.
• Real per-artist rollup stats, not a sample. Total/sold artwork counts and average price are computed from an artist's entire catalog, paginated to completion — confirmed to include sold items, not just currently-for-sale ones.
• minSoldArtworks filter. Only push artists with at least N sold artworks — skip the majority who've never sold anything, without paying for rows you'd throw away.
• Delta mode built in. Every run classifies each item as new, changed, unchanged, or delisted against a persisted baseline.
• Exhaustive when you ask for it. A plain run (no startUrls) covers the whole site — the full artist directory (~3,785 artists as of this build) or the full artwork catalog (~144,000 products across 3 sitemap shards). maxItems defaults to 50 (a fast preview) — clear it or raise it for a real full run.

📋 Output

One dataset item per artwork or artist, depending on entityType — see .actor/dataset_schema.json for the full field list, or the Output tab's Artworks / Artists views for a readable table.

Example artwork record:

{
  "source": "artfinder",
  "entity_type": "artworks",
  "external_id": "2312900",
  "url": "https://www.artfinder.com/product/east-meets-west-c3fc7/",
  "title": "East Meets West",
  "artist_name": "Teresa Pereira",
  "artist_url": "https://www.artfinder.com/artist/teresa-pereira/",
  "category": "Oil painting",
  "style": "Photorealistic",
  "materials": "oil",
  "price": 999.0,
  "currency": "USD",
  "availability_status": "avail",
  "width_cm": 71.12,
  "height_cm": 55.88,
  "change_type": "new"
}

Example artist record:

{
  "source": "artfinder",
  "entity_type": "artists",
  "external_id": "97906",
  "url": "https://www.artfinder.com/artist/olgali/",
  "name": "Olga Li",
  "country": "Italy",
  "followers_total": 194,
  "total_artworks": 103,
  "sold_artworks": 5,
  "avg_price_eur": 287.4,
  "mediums": "Collage, Mixed media",
  "change_type": "new"
}

Results can be downloaded as JSON, CSV, or Excel from the Console's Output tab, or pulled via the Apify API/dataset endpoint.

⚙️ Input

See .actor/input_schema.json for the full JSON schema.

Parameter	Type	Default	Description
entityType	String	artworks	artworks or artists.
startUrls	Array of strings	(none)	Specific artist or product URLs to scrape directly, instead of discovering via the artist-search API or the product sitemap. A startUrls-scoped run cannot detect delistings or update the incremental baseline, and for entityType=artists it skips the artist-search pass, so country isn't populated for that scope (see Known gaps).
maxItems	Integer	50	Stop after pushing this many dataset items. Defaults to a fast, cheap preview. A full run covers the entire site — raise this or clear it for that.
minSoldArtworks	Integer	0	Artists only. Only push artist records with at least this many sold artworks (the sold_artworks rollup field) — set to 1 to skip artists who've never sold anything. Artists are still fully tracked internally either way (delta baseline, delisted-detection); this only filters what's pushed to the dataset.
mode	String	auto	auto (recommended): full scan on the first run, incremental after. full: always push every item and refresh the baseline. incremental: always push only new/changed items. Only a plain, unscoped run (no startUrls) can detect delistings or update the baseline.
proxyConfiguration	Object	{"useApifyProxy": false}	Apify Proxy config. Off by default — this Actor's default (a plain browser User-Agent header, no TLS impersonation) worked cleanly from every network tested while building it.

🧪 Input examples

Full artwork catalog scan (exhaustive, slow — every artwork's own page is fetched; maxItems: null explicitly overrides the 50-item default):

{ "entityType": "artworks", "maxItems": null }

Full artist directory, with rollup stats:

{ "entityType": "artists", "maxItems": null }

Artists with at least one sold artwork only (skips the majority of artists who've never sold — useful if you only care about active sellers):

{ "entityType": "artists", "minSoldArtworks": 1, "maxItems": null }

Scheduled tracking run — only new/changed/delisted items since the last baseline:

{ "entityType": "artists", "mode": "incremental" }

🔄 Incremental (delta) mode

Every run classifies each item as new, changed (price/status moved, for artworks; catalog size/sold-count/avg-price moved, for artists), unchanged, or delisted, using a state baseline persisted in a named Apify Key-Value Store scoped to entityType.

• mode: auto (default) — first run for a scope pushes everything (full); later runs push only new/changed/delisted (incremental).
• A startUrls-scoped run is always partial and never updates the baseline.

Full design: ../../docs/incremental-mode.md.

🚀 How to scrape Artfinder.com

1. Open the Artfinder Artist & Artwork Scraper in Apify Console and go to the Input tab.
2. Pick entityType (artworks or artists).
3. maxItems defaults to 50 (a quick preview) — raise it or clear it (set to null) for a full, uncapped run.
4. For entityType: artists, optionally set minSoldArtworks to only get artists who've sold something.
5. Click Start.
6. When the run finishes, browse results in the Output tab, or download as JSON/CSV/Excel, or fetch them via the API.
7. To track over time instead of scraping once: create a Schedule with mode: auto — the first run does a full scan, every run after only bills what actually changed.

Known gaps

• country isn't populated for a startUrls-scoped artists run. The full field set (name, country, URL) comes from the artist-search discovery pass, which a startUrls-scoped run skips entirely — the artist's identity is instead recovered from their own artwork records (which do carry name, but not country). Not populated in that scope only, not a bug.
• No joined_date, social links, or bio. Those only exist on an artist's own profile page, a second per-artist request this Actor deliberately doesn't make (see src/artfinder.py's module docstring) since they weren't needed for the fields this Actor was built to report. Worth revisiting if a customer needs them.
• No latest_artwork_* fields, unlike this Actor's SaatchiArt/Artmajeur siblings — the rollup data source has no reliable timestamp to determine "latest" from (only an is_new boolean, and an unconfirmed default sort order), so this Actor doesn't report an unverified guess.
• avg_price_eur/sold_avg_price_eur are converted display prices, not each artwork's real native currency — the per-artist rollup endpoint doesn't expose a native-currency marker the way the artwork detail page does (which is why artworks records report real price + currency instead).

🔗 You might also like

• SaatchiArt Artist & Artwork Scraper — the same entity-type/rollup-stats design pointed at a first, independent art marketplace.
• Artmajeur Artist & Artwork Scraper — a second independent art marketplace source, same design.
• Artsper Artist & Artwork Scraper — a third, independent art marketplace source, same design.

❓ FAQ

Is it legal to scrape Artfinder.com? It's legal to collect publicly available marketplace data such as artwork listings, prices, and public artist profile information. Scrape it only with a legitimate purpose under GDPR.

How do I get only artists who've sold something? Set minSoldArtworks: 1 — see Input examples.

How do I get only new/changed items? Use mode: auto (or incremental) on a schedule — see Incremental mode.

Search keywords

artfinder scraper, artfinder.com scraper, art marketplace scraper, artist data scraper, artwork data scraper, art price data, art market analytics, art collector data feed