# 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, 93.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.60 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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_<username>`) 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,headlessagent/behance-projects-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/9S1B1WWh9cO2RmAc4/builds/Uep0iEWhfjnfgvEut/openapi.json