# Behance Creative Projects Scraper (`jungle_synthesizer/behance-creative-projects-scraper`) Actor Scrape Behance project metadata including title, owner, tags, engagement stats, and cover image URL. Search by keyword — illustrations, paintings, branding, and more. - **URL**: https://apify.com/jungle\_synthesizer/behance-creative-projects-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Social media, For creators - **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 ## Behance Creative Projects Scraper Scrape project metadata from [Behance](https://www.behance.net). Returns title, owner info, tags, creative tools used, engagement stats, cover image URL, and more — up to 15 fields per project — from the world's largest creative portfolio network. --- ### Behance Creative Projects Scraper Features - Searches Behance projects by keyword — illustration, typography, branding, architecture, anything - Extracts 15 fields per project: title, owner, location, tags, tools, stats, cover image, publish date - Handles cursor-based pagination automatically — runs until it hits your `maxItems` cap or exhausts results - Parses structured JSON embedded in every page, so output is clean and consistent - Returns appreciations, views, and comments counts — all in one record - No browser required. Pure HTTP scraping with TLS fingerprinting --- ### What Can You Do With Behance Project Data? - **Design researchers** — Survey trends across categories (illustration, motion graphics, packaging) without clicking through hundreds of pages manually - **Creative directors** — Track which tags, tools, and styles are gaining traction in a given discipline - **Recruiters and talent scouts** — Identify top-performing creatives by engagement metrics before reaching out - **Competitive intelligence** — Monitor how clients and competitors present work on Behance, and what resonates - **Portfolio platforms** — Feed curated project data into aggregator tools or recommendation engines - **Data journalists** — Analyze what software tools (Photoshop, Cinema 4D, Blender) are most used by category --- ### How Behance Creative Projects Scraper Works 1. You provide a keyword — "illustration", "brand identity", "3D render", whatever you're tracking 2. The scraper hits the Behance search endpoint and reads the embedded JSON store on each listing page, pulling project URLs and partial metadata 3. Each project's detail page is fetched to fill in the remaining fields: tags, tools, creative fields, and comment count 4. Results are returned as JSON, one object per project, with consistent field names --- ### Input ```json { "searchQuery": "illustration", "maxItems": 50 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchQuery` | string | — | Keyword to search for (e.g. `illustration`, `painting`, `branding`). Leave blank to scrape the general project feed. | | `maxItems` | integer | — | Maximum number of project records to return. Required. | *** ### Behance Creative Projects Scraper Output Fields ```json { "project_id": 249661635, "title": "Midnite 3D Brand Illustrations and Character Design", "owner_username": "arminkhorsandipour", "owner_display_name": "Armin", "owner_location": "United Arab Emirates", "fields": ["Illustration", "3D Art"], "tags": ["3d", "character", "illustration", "branding"], "tools_used": ["Cinema 4D", "Adobe Illustrator"], "appreciations_count": 43, "views_count": 413, "comments_count": 2, "published_on": "2025-04-15T08:45:45.000Z", "cover_image_url": "https://mir-s3-cdn-cf.behance.net/projects/original_webp/...", "project_url": "https://www.behance.net/gallery/249661635/Midnite-3D-Brand-Illustrations-and-Character-Design", "owner_profile_url": "https://www.behance.net/arminkhorsandipour" } ``` | Field | Type | Description | |-------|------|-------------| | `project_id` | number | Numeric Behance project ID | | `title` | string | Project title | | `owner_username` | string | Owner Behance username (slug) | | `owner_display_name` | string | Owner display name | | `owner_location` | string | Owner location (city/country) from profile | | `fields` | array | Creative fields / gallery categories (e.g. Illustration, Photography) | | `tags` | array | Project tags | | `tools_used` | array | Creative tools used (e.g. Photoshop, Illustrator) | | `appreciations_count` | number | Number of appreciations (likes) | | `views_count` | number | Number of project views | | `comments_count` | number | Number of comments | | `published_on` | string | ISO 8601 publish date (UTC) | | `cover_image_url` | string | Cover image URL (reference only — image is not downloaded) | | `project_url` | string | Canonical Behance project URL | | `owner_profile_url` | string | Owner Behance profile URL | *** ### FAQ #### How do I scrape Behance projects? Behance Creative Projects Scraper handles it. Set `searchQuery` to any keyword that matches the work you're interested in and let it run. #### What data can I get from Behance? Behance Creative Projects Scraper returns 15 fields per project: project ID, title, owner username, display name, location, creative fields, tags, tools used, appreciations, views, comments, publish date, cover image URL, project URL, and owner profile URL. #### Does this scraper require proxies? Behance Creative Projects Scraper uses residential proxies automatically — Behance blocks requests from standard datacenter IPs. You don't configure this; it's handled by the actor. #### Can I filter by creative field, tool, or country? The `searchQuery` parameter accepts any keyword Behance's search supports. For field-specific searches, include the category name in your query (e.g., "typography", "motion design", "brand identity"). Behance's `field=` and `country=` URL parameters are excluded by the actor to stay within robots.txt guidelines. #### How much does it cost to run? Behance Creative Projects Scraper charges per record. At standard pricing the cost is approximately $0.001–$0.002 per project, depending on your account tier. *** ### Need More Features? Need custom filters, bulk keyword runs, or integration with a specific pipeline? [File an issue](https://console.apify.com/actors/issues) or reach out. ### Why Use Behance Creative Projects Scraper? - **Structured output** — Returns clean JSON with 15 consistent fields per project, including array fields for tags and tools, so you can aggregate and filter without cleanup - **Respects robots.txt** — Uses only the `q=` keyword parameter, which Behance explicitly allows; avoids the disallowed `field=`, `sort=`, and `tools=` filters that other approaches use - **No rate limit problems** — Low-concurrency crawl with automatic backoff; runs cleanly without getting your IP flagged # 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. ## `searchQuery` (type: `string`): Keyword to search for (e.g. 'illustration', 'painting', 'branding'). Leave blank to scrape the general project feed. ## `maxItems` (type: `integer`): Maximum number of project records to scrape ## 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...", "searchQuery": "illustration", "maxItems": 10 } ``` # 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...", "searchQuery": "illustration", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/behance-creative-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...", "searchQuery": "illustration", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/behance-creative-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...", "searchQuery": "illustration", "maxItems": 10 }' | apify call jungle_synthesizer/behance-creative-projects-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/behance-creative-projects-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Behance Creative Projects Scraper", "description": "Scrape Behance project metadata including title, owner, tags, engagement stats, and cover image URL. Search by keyword — illustrations, paintings, branding, and more.", "version": "0.1", "x-build-id": "VZIx7QRGEc3LvYgpJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~behance-creative-projects-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-behance-creative-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~behance-creative-projects-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-behance-creative-projects-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~behance-creative-projects-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-behance-creative-projects-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxItems" ], "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." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for (e.g. 'illustration', 'painting', 'branding'). Leave blank to scrape the general project feed." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of project records to scrape" } } }, "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 } } } } } } } } } } ```