# ArtStation Portfolio Projects Scraper (`jungle_synthesizer/artstation-portfolio-projects-scraper`) Actor Scrape public project metadata from ArtStation — title, artist, engagement counts, cover URLs. Supports feed walk, hashtag search, and keyword search. - **URL**: https://apify.com/jungle\_synthesizer/artstation-portfolio-projects-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 Portfolio Projects Scraper Scrape public project metadata from ArtStation — the dominant concept-art and illustration portfolio network. Extracts project title, artist info, engagement counts (likes, views), cover URLs, and asset type breakdown. Three search modes let you walk the global feed, filter by hashtag, or run a keyword search. ### What you get Each record includes: - **Project**: ID, hash_id, title, description (HTML stripped), permalink URL - **Artist**: username, full name, headline/role, country, profile URL - **Engagement**: likes count, views count, assets count - **Media**: asset types present (image, video, model3d, etc. — pipe-separated), cover thumbnail URL (by reference only) - **Taxonomy**: tags from tag_list (pipe-separated), created_at, published_at ### Usage #### Global feed (latest projects) ```json { "searchMode": "feed", "maxItems": 1000 } ```` #### Trending feed ```json { "searchMode": "feed", "sorting": "trending", "maxItems": 500 } ``` #### Hashtag filter ```json { "searchMode": "hashtag", "hashtag": "fantasy", "maxItems": 200 } ``` #### Keyword search ```json { "searchMode": "search", "searchQuery": "concept art environment", "maxItems": 100 } ``` ### Input schema | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchMode` | string | `feed` | Discovery mode: `feed`, `hashtag`, or `search` | | `hashtag` | string | — | Hashtag to filter by (required when `searchMode` is `hashtag`) | | `searchQuery` | string | — | Search keyword (required when `searchMode` is `search`) | | `sorting` | string | `latest` | Sort order for feed/hashtag: `latest` or `trending` | | `maxItems` | integer | 100 | Maximum records to return | ### Notes - ArtStation's public JSON feed serves 50 projects per page and covers 14M+ projects - Cover images are returned as URLs only — images are not rehosted or downloaded - Project detail endpoints (category, software used) are not accessible without authentication from datacenter IPs; all available fields come from the feed response - No proxy required — ArtStation's JSON endpoints serve datacenter requests with a browser User-Agent # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of project records to return. Defaults to 100. ## `searchMode` (type: `string`): How to discover projects: "feed" walks the global feed, "hashtag" filters by a hashtag, "search" searches by keyword. ## `hashtag` (type: `string`): Hashtag to filter projects by (e.g. "fantasy", "character"). Required when searchMode is "hashtag". ## `searchQuery` (type: `string`): Keyword search query (e.g. "concept art", "sci-fi environment"). Required when searchMode is "search". ## `sorting` (type: `string`): Sort order for feed/hashtag modes: "latest" (default) or "trending". ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "searchMode": "feed", "hashtag": "fantasy", "searchQuery": "concept art", "sorting": "latest" } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "searchMode": "feed", "hashtag": "fantasy", "searchQuery": "concept art", "sorting": "latest" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/artstation-portfolio-projects-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "searchMode": "feed", "hashtag": "fantasy", "searchQuery": "concept art", "sorting": "latest", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/artstation-portfolio-projects-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "searchMode": "feed", "hashtag": "fantasy", "searchQuery": "concept art", "sorting": "latest" }' | apify call jungle_synthesizer/artstation-portfolio-projects-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/artstation-portfolio-projects-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ArtStation Portfolio Projects Scraper", "description": "Scrape public project metadata from ArtStation — title, artist, engagement counts, cover URLs. Supports feed walk, hashtag search, and keyword search.", "version": "0.1", "x-build-id": "ggLlnx0DSha8yF2sR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~artstation-portfolio-projects-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-artstation-portfolio-projects-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/jungle_synthesizer~artstation-portfolio-projects-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-artstation-portfolio-projects-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/jungle_synthesizer~artstation-portfolio-projects-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-artstation-portfolio-projects-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", "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of project records to return. Defaults to 100.", "default": 100 }, "searchMode": { "title": "Search Mode", "enum": [ "feed", "hashtag", "search" ], "type": "string", "description": "How to discover projects: \"feed\" walks the global feed, \"hashtag\" filters by a hashtag, \"search\" searches by keyword.", "default": "feed" }, "hashtag": { "title": "Hashtag", "type": "string", "description": "Hashtag to filter projects by (e.g. \"fantasy\", \"character\"). Required when searchMode is \"hashtag\"." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword search query (e.g. \"concept art\", \"sci-fi environment\"). Required when searchMode is \"search\"." }, "sorting": { "title": "Sorting", "enum": [ "latest", "trending" ], "type": "string", "description": "Sort order for feed/hashtag modes: \"latest\" (default) or \"trending\".", "default": "latest" } } }, "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 } } } } } } } } } } ```