Dataspryva

Use DeviantArt Artwork Search, Gallery & Trending Feed with Python

Reads DeviantArt's public feeds to find deviations by keyword, browse an artist's full gallery, or pull the current trending artwork feed by category.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "excludeMature": false,
  "includeArtistStats": false,
  "includeDetails": false,
  "maxItems": 3,
  "mode": "tag",
  "tag": "fantasy"
}

Download input.example.json and save your reviewed copy as input.json.

FieldTypeRequiredDescription
modestringrequiredChoose what to collect.
searchQuerystringoptionalKeyword or phrase to search for. Supports DeviantArt search syntax.
tagstringoptionalTag slug or tag URL, for example fantasy or https://www.deviantart.com/tag/fantasy.
usernamestringoptionalDeviantArt username or profile URL whose gallery should be collected.
artworkUrlsarrayoptionalArtwork page URLs, /art/... links, or numeric deviation IDs.
contentTypestringoptionalLimit keyword searches to images or literature.
orderstringoptionalOrder used when browsing a tag.
includeDetailsbooleanoptionalOpen each artwork page to add tags, description, original dimensions, file size and watermark flag when available.
includeArtistStatsbooleanoptionalOpen each artist profile to add watchers, deviation count, pageviews and join date.
excludeMaturebooleanoptionalSkip artwork flagged as mature or sensitive.
maxItemsintegeroptionalMaximum number of artwork records to return.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/kRArTHZZpiZh36Qda/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Artwork records with artist profile, signed image URLs, stats, flags, licence, dimensions and optional detail fields.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Generated from source build PTlcRordbiDo0SrJ4 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.