# Behance Projects Scraper (`headlessagent/behance-projects-scraper`) Actor This Apify Actor extracts project data from Behance profiles based on a given username. It's designed for efficient data collection, handling pagination and offering flexible proxy options - **URL**: https://apify.com/headlessagent/behance-projects-scraper.md - **Developed by:** [Headless Agent](https://apify.com/headlessagent) (community) - **Categories:** Automation, Social media, Other - **Stats:** 10 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $7.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Behance Projects Scraper This Apify Actor extracts project data from Behance profiles based on a given username. It's designed for efficient data collection, handling pagination and offering flexible proxy options. ### Features - Extracts all projects from a specified Behance username. - Retrieves comprehensive project details including covers, features, fields, owners, and statistics. - Supports resuming scrapes from a specific cursor position. - Offers optional proxy usage for enhanced anonymity and bypass of rate limits. - Outputs structured JSON for easy integration and analysis. ### Input The Actor expects a JSON input with the following fields: ```json { "username": "designerpreis", "cursor": "", "proxyUrl": "" } ```` - **`username`** (string, required): The Behance username to scrape projects from. Example: `"designerpreis"` - **`cursor`** (string, optional): The cursor to start scraping from. Useful for resuming interrupted scrapes. If not provided, the scraper starts from the beginning. Example: `"MTI="` - **`proxyUrl`** (string, optional): A single custom proxy URL to use (e.g., `http://user:pass@host:port`). If provided, the Actor will use this proxy for all requests. **Important:** Only use a single host, not a rotating proxy, as it may cause errors with multi-page scraping. ### Output For every project found on the Behance profile, the output dataset (`behance_projects_`) will contain an object with detailed fields. **Example Project Output (simplified):** ```json { "__typename": "Project", "covers": { "size_202": { "url": "https://mir-s3-cdn-cf.behance.net/projects/202/92665c210524379.Y3JvcCwxMzgwLDEwODAsMjcwLDA.png" }, "size_404": { "url": "https://mir-s3-cdn-cf.behance.net/projects/404/92665c210524379.Y3JvcCwxMzgwLDEwODAsMjcwLDA.png" }, "size_808": { "url": "https://mir-s3-cdn-cf.behance.net/projects/808/92665c210524379.Y3JvcCwxMzgwLDEwODAsMjcwLDA.png" } }, "features": [], "fields": [ { "id": 3, "label": "Animation", "slug": "Animation", "url": "/search/projects?field=3" }, { "id": 145, "label": "3D Art", "slug": "3D Art", "url": "/search/projects?field=145" }, { "id": 241, "label": "CGI", "slug": "CGI", "url": "/search/projects?field=241" } ], "hasMatureContent": false, "id": 210524379, "sourceFiles": [], "matureAccess": "allowed", "modifiedOn": 1744365623, "name": "Reel 2024", "owners": [ { "displayName": "Everton Rios Marques", "hasPremiumAccess": false, "id": 3367079, "isFollowing": false, "isProfileOwner": false, "location": "São Paulo, Brazil", "locationUrl": "https://www.behance.net/search/users?country=BR&city=S%C3%A3o+Paulo", "url": "https://www.behance.net/evertonrios", "username": "evertonrios", "isMessageButtonVisible": true, "availabilityInfo": { "availabilityTimeline": "within_next_few_weeks", "isAvailableFullTime": false, "isAvailableFreelance": true, "hiringTimeline": { "key": "now", "label": "Now" } }, "creatorPro": { "isActive": false, "initialSubscriptionDate": null }, "images": { "size_50": { "url": "https://mir-s3-cdn-cf.behance.net/user/50/a0827a3367079.6149e6d5dd8f7.jpg" } } } ], "publishedOn": 1729268209, "privacyLevel": "PUBLIC", "stats": { "appreciations": { "all": 458 }, "views": { "all": 5279 }, "comments": { "all": 21 } }, "slug": "Reel-2024", "tools": [ { "id": 5704, "title": "Maxon Cinema 4D", "category": "9", "categoryLabel": "Software", "categoryId": 9, "approved": 1, "url": "/search/projects?tools=5704", "backgroundColor": null }, { "id": 403683929, "title": "Redshift Render", "category": "9", "categoryLabel": "Software", "categoryId": 9, "approved": 1, "url": "/search/projects?tools=403683929", "backgroundColor": null }, { "id": 185681947, "title": "Adobe After Effects", "category": "9", "categoryLabel": "Software", "categoryId": 9, "approved": 1, "url": "/search/projects?tools=185681947", "backgroundColor": "#00005B" } ], "url": "https://www.behance.net/gallery/210524379/Reel-2024" } ``` # Actor input Schema ## `username` (type: `string`): The Behance username to scrape projects from. ## `cursor` (type: `string`): The cursor to start scraping from (optional). ## `proxyUrl` (type: `string`): A single custom proxy URL to use (e.g., 'http://user:pass@proxy.com:8080'). Only use a single host, not a rotating proxy, as it may cause errors with multi-page scraping. ## Actor input object example ```json { "username": "maciejpaluszny" } ``` # 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 = { "username": "maciejpaluszny" }; // Run the Actor and wait for it to finish const run = await client.actor("headlessagent/behance-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 = { "username": "maciejpaluszny" } # Run the Actor and wait for it to finish run = client.actor("headlessagent/behance-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 '{ "username": "maciejpaluszny" }' | apify call headlessagent/behance-projects-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=headlessagent/behance-projects-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Behance Projects Scraper", "description": "This Apify Actor extracts project data from Behance profiles based on a given username. It's designed for efficient data collection, handling pagination and offering flexible proxy options", "version": "0.0", "x-build-id": "Uep0iEWhfjnfgvEut" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/headlessagent~behance-projects-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-headlessagent-behance-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/headlessagent~behance-projects-scraper/runs": { "post": { "operationId": "runs-sync-headlessagent-behance-projects-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/headlessagent~behance-projects-scraper/run-sync": { "post": { "operationId": "run-sync-headlessagent-behance-projects-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "username" ], "properties": { "username": { "title": "Behance Username", "type": "string", "description": "The Behance username to scrape projects from." }, "cursor": { "title": "Cursor", "type": "string", "description": "The cursor to start scraping from (optional)." }, "proxyUrl": { "title": "Custom Proxy URL", "type": "string", "description": "A single custom proxy URL to use (e.g., 'http://user:pass@proxy.com:8080'). Only use a single host, not a rotating proxy, as it may cause errors with multi-page scraping." } } }, "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 } } } } } } } } } } ```