# ArtStation Search Scraper (`headlessagent/artstation-search-scraper`) Actor Search and extract ArtStation artworks at scale. Filter by relevance, likes, latest, or trending. Each result includes title, URL, cover image, author details, and content type flags. - **URL**: https://apify.com/headlessagent/artstation-search-scraper.md - **Developed by:** [Headless Agent](https://apify.com/headlessagent) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ArtStation Search Scraper Scrape ArtStation search results — no API key or login required. Search for **artworks** by keyword with configurable sorting, pagination, and proxy support. Get clean, structured JSON output. ### 🤔 What can ArtStation Search Scraper do? This Actor lets you **search ArtStation for artworks** across any topic or keyword. Define a list of queries and get structured results for each: 🔍 Search for **artworks** by any keyword or phrase — characters, environments, VFX, 3D, concept art, and more 🖼️ Extract **cover image URLs** for every artwork result 👤 Get **author info** — username, full name, avatar, Pro status, Plus/Studio/School account flags 🎬 Know the **content type** of each artwork via icon flags — video, image, 3D model, Marmoset, panorama, multiple images, video clip 🔞 Filter awareness — each result includes `is_adult_content` and `hide_as_adult` flags 📈 Sort by **Relevance, Likes, Latest, or Trending Now** 🥇 Optionally **prioritise Pro user results** first 🔁 Rotate proxies to avoid rate limiting (optional) 📦 Download results in **JSON, CSV, XML, or Excel** from the Apify Dataset 🦾 Integrate via **API, webhooks, SDKs** (Python & Node.js), or connect with Zapier, n8n, Make, and more ### ✅ What data can I scrape from ArtStation? #### Artworks - Artwork ID, hash ID, title, URL - Cover image URL (`smaller_square_cover_url`) - Adult content flags (`is_adult_content`, `hide_as_adult`) - Content type icons: `video`, `image`, `model3d`, `marmoset`, `pano`, `multiple_images`, `video_clip` - Author: ID, username, full name, avatar URL, Pro/Plus/Studio/School account status, staff flag ### 🔧 How to scrape data from ArtStation 1. [Create](https://console.apify.com/sign-up) a free Apify account. 2. Open ArtStation Search Scraper. 3. Enter your **search queries** — one or more keywords or phrases. 4. Choose a **sort order** and set **max results per query**. 5. Optionally enable **Pro users first** and add **proxy URLs**. 6. Click **Save & Start** and wait for the results. 7. Download your data in JSON, CSV, XML, Excel, or access it via the Apify API. ### ⬇️ Input | Field | Type | Description | |--------------|------------|-----------------------------------------------------------------------------------| | `queries` | `string[]` | Search queries for ArtStation artworks. At least one is required. | | `sorting` | `string` | Sort order: `relevance` (default) \| `likes` \| `date` \| `rank` | | `maxResults` | `integer` | Max artworks to scrape per query (default: 20). | | `proFirst` | `boolean` | Prioritise Pro user results first (default: `true`). | | `proxy` | `string[]` | Optional proxy URLs (`http://` or `socks5://`). Rotated round-robin per request. | #### Sorting options | Value | Description | |-------------|------------------| | `relevance` | Most relevant (default) | | `likes` | Most liked | | `date` | Latest / newest | | `rank` | Trending Now | #### Example input ```json { "queries": ["robot", "cyberpunk city", "blender render"], "sorting": "likes", "maxResults": 50, "proFirst": true, "proxy": [] } ```` ### ⬆️ Output Results are pushed to the Apify Dataset. Each item includes `search_query` and `search_sorting` fields so you know which task produced each result. #### Artwork result sample ```json { "search_query": "robot", "search_sorting": "relevance", "id": 10140594, "hash_id": "XnoBAn", "title": "MechNuggets Raw Series [Painted]", "url": "https://www.artstation.com/artwork/XnoBAn", "smaller_square_cover_url": "https://cdna.artstation.com/p/assets/covers/images/038/144/782/smaller_square/andre-lang-huynh-andre-lang-huynh-untitled-2.jpg?1622299437", "is_adult_content": false, "hide_as_adult": false, "icons": { "video": false, "image": false, "model3d": false, "marmoset": false, "pano": false, "multiple_images": false, "video_clip": true }, "user": { "id": 1321, "username": "alhuynh", "full_name": "Andre-Lang Huynh", "medium_avatar_url": "https://cdnb.artstation.com/p/users/avatars/000/001/321/medium/96f263d53c177a4bec0a70e6c1716731.jpg?1525026720", "is_staff": false, "pro_member": true, "is_plus_member": false, "is_studio_account": false, "is_school_account": false } } ``` ### 🔗 Integrations Connect ArtStation Search Scraper with almost any cloud service or web app through [Apify integrations](https://apify.com/integrations): **Zapier, n8n, Make, Slack, Google Sheets, Google Drive, Airbyte, GitHub**, and many more. Use [webhooks](https://docs.apify.com/integrations/webhooks) to trigger actions whenever a run finishes — for example, sending a Slack notification or pushing data to a Google Sheet automatically. ### 🦾 Using the Apify API The Apify [API](https://docs.apify.com/api/v2) gives you programmatic access to this scraper. Start runs, fetch datasets, monitor execution, and integrate into your own workflows. - **Python**: [`apify-client`](https://pypi.org/project/apify-client/) on PyPI - **Node.js**: [`apify-client`](https://www.npmjs.com/package/apify-client) on NPM ### ❓ FAQ #### How many results can I get per query? Default is 20 per query. Increase this with `maxResults`. ArtStation returns up to 75 results per page and the scraper paginates automatically. #### Can I use multiple proxies? Yes. The `proxy` field accepts an array of proxy URLs. They are rotated round-robin across queries. #### What does `pro_first` do? When enabled (default), ArtStation's API surfaces results from Pro subscribers first within the same relevance ranking. #### Is it legal to scrape ArtStation? This scraper only extracts publicly available data — nothing behind authentication. However, scraped data may contain personal information protected by [GDPR](https://en.wikipedia.org/wiki/General_Data_Protection_Regulation) and other regulations. Ensure you have a legitimate reason for collection and consult legal counsel if unsure. See also Apify's blog on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). # Actor input Schema ## `queries` (type: `array`): Search terms to scrape artworks for. At least one query is required. ## `sorting` (type: `string`): How to sort search results. ## `maxResults` (type: `integer`): Maximum number of artworks to scrape per query (default: 20). ## `proFirst` (type: `boolean`): Prioritise results from ArtStation Pro users. ## `proxy` (type: `array`): Optional proxy URLs (e.g. http://user:pass@host:port). Rotated round-robin per request. ## Actor input object example ```json { "queries": [ "robot", "cyberpunk city" ], "sorting": "relevance", "maxResults": 20, "proFirst": true, "proxy": [] } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "robot", "cyberpunk city" ], "maxResults": 20, "proxy": [] }; // Run the Actor and wait for it to finish const run = await client.actor("headlessagent/artstation-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "queries": [ "robot", "cyberpunk city", ], "maxResults": 20, "proxy": [], } # Run the Actor and wait for it to finish run = client.actor("headlessagent/artstation-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "robot", "cyberpunk city" ], "maxResults": 20, "proxy": [] }' | apify call headlessagent/artstation-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=headlessagent/artstation-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ArtStation Search Scraper", "description": "Search and extract ArtStation artworks at scale. Filter by relevance, likes, latest, or trending. Each result includes title, URL, cover image, author details, and content type flags.", "version": "1.0", "x-build-id": "mk7NKy0N5oz4TraCJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/headlessagent~artstation-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-headlessagent-artstation-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/headlessagent~artstation-search-scraper/runs": { "post": { "operationId": "runs-sync-headlessagent-artstation-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/headlessagent~artstation-search-scraper/run-sync": { "post": { "operationId": "run-sync-headlessagent-artstation-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "queries" ], "properties": { "queries": { "title": "Search Queries", "type": "array", "description": "Search terms to scrape artworks for. At least one query is required.", "items": { "type": "string" } }, "sorting": { "title": "Sort By", "enum": [ "relevance", "likes", "date", "rank" ], "type": "string", "description": "How to sort search results.", "default": "relevance" }, "maxResults": { "title": "Max Results per Query", "minimum": 1, "type": "integer", "description": "Maximum number of artworks to scrape per query (default: 20)." }, "proFirst": { "title": "Pro Users First", "type": "boolean", "description": "Prioritise results from ArtStation Pro users.", "default": true }, "proxy": { "title": "Proxy URLs", "type": "array", "description": "Optional proxy URLs (e.g. http://user:pass@host:port). Rotated round-robin per request.", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```