# Behance People Users Scraper - Low-cost💲🔥👤🔍 (`delectable_incubator/behance-people-users-scraper-low-cost`) Actor

Scrape Behance user profiles by keyword 🎨📸 with a powerful creative data scraper.

Extract usernames, profile images, project URLs, and more.

Ideal for creative industry analysis, artist research, talent discovery, and building structured datasets for designers, agencies, and marketers 📊🚀

- **URL**: https://apify.com/delectable\_incubator/behance-people-users-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Jobs, Social media
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

<p align="center"> <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Behance People/Users Scraper - PrimeScrape" width="100%"> </p>

***

### Behance People/Users Scraper 👤🎨🔍

The Behance People/Users Scraper is a fast and scalable Apify Actor designed to extract structured user profile data from Behance based on keyword searches.

It helps you discover creative professionals, analyze talent pools, and build structured datasets for recruitment, market research, and automation workflows.

***

### 🎯 What This Scraper Does

Simply provide bulk keywords and the scraper handles everything automatically.

✅ Supports multiple keywords in a single run

✅ Extracts Behance user profiles + project data

✅ Handles pagination automatically

✅ Collects structured creator analytics

✅ Ideal for talent discovery & audience research

✅ Fully automation-ready for scalable workflows

***

### 📊 Data Extracted

👤 User Profile Fields

| Field                      | Description                                |
| -------------------------- | ------------------------------------------ |
| 🆔 `id`                    | Unique user ID                             |
| 👤 `username`              | Behance username                           |
| ✨ `display_name`           | Display name                               |
| 🌐 `profile_url`           | Profile link                               |
| 🌍 `country`               | Country                                    |
| 📍 `location`              | Full location                              |
| 👍 `appreciations`         | Total appreciations                        |
| 👥 `followers`             | Followers count                            |
| 👀 `views`                 | Profile views                              |
| 🛠️ `freelance_available`  | Freelance availability                     |
| 🧑‍💼 `fulltime_available` | Full-time availability                     |
| 🖼️ `profile_images`       | Profile image variants                     |
| 🎨 `projects`              | Related projects (name, URL, cover images) |

***

### 🛠 How to Use

1️⃣ Configure Input

Provide your search parameters:

```
{
  "keywords": ["marketing"],
  "maxitems": 120
}
```

2️⃣ Run the Actor

• Search Behance user profiles by keywords

• Extract structured creator data

• Collect profile + project insights

• Stop when maxitems limit is reached

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

***

### ⚙️ Input Configuration

#### 📥 Input Example

```
{
  "keywords": ["fashion", "branding", "illustration"],
  "maxitems": 100
}
```

#### Input Fields

| Field      | Type    | Description                              |
| ---------- | ------- | ---------------------------------------- |
| `keywords` | array   | List of search keywords (bulk supported) |
| `maxitems` | integer | Maximum number of results per keyword    |

***

### 📤 Output Example

```
[
  {
    "id": 240543559,
    "display_name": "Tamer Oukour",
    "username": "tameroukour",
    "profile_url": "https://www.behance.net/tameroukour",
    "country": "Sweden",
    "location": "Sweden",
    "appreciations": 13861,
    "followers": 2410,
    "views": 147595,
    "freelance_available": true,
    "fulltime_available": true,
    "profile_images": [
      "https://mir-s3-cdn-cf.behance.net/user/100/example.png"
    ],
    "projects": [
      {
        "name": "Animal Planet Identity",
        "url": "https://www.behance.net/gallery/example",
        "cover_images": [
          "https://mir-s3-cdn-cf.behance.net/projects/original/example.jpg"
        ]
      }
    ]
  }
]
```

***

### 📊 Output explanation

| Field                 | Description        |
| --------------------- | ------------------ |
| `display_name`        | User display name  |
| `followers`           | Follower count     |
| `appreciations`       | Likes received     |
| `views`               | Profile views      |
| `freelance_available` | Freelance status   |
| `projects`            | Portfolio projects |

***

### 🌍 Why Use This Scraper?

👤 Talent Discovery — find creative professionals

📊 Market Research — analyze Behance user trends

🎨 Portfolio Analysis — explore creative profiles

🏢 Recruitment Intelligence — source candidates

💡 Creative Insights — study design communities

⚙️ Automation Ready — scalable data collection

***

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by Behance or Adobe.

***

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $2.89 / 1000 results

***

### Related Actors

If you're interested in other Behance scraping solutions, explore more tools:

(Coming soon)

***

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

***

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.

# Actor input Schema

## `keywords` (type: `array`):

List of keywords to search for on Behance People. Each keyword is scraped independently.

## `maxitemsPerKeyword` (type: `integer`):

Maximum number of user profiles to scrape for each keyword.

## Actor input object example

```json
{
  "keywords": [
    "fashion",
    "illustration"
  ],
  "maxitemsPerKeyword": 60
}
```

# Actor output Schema

## `overview` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "fashion",
        "illustration"
    ],
    "maxitemsPerKeyword": 60
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/behance-people-users-scraper-low-cost").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 = {
    "keywords": [
        "fashion",
        "illustration",
    ],
    "maxitemsPerKeyword": 60,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/behance-people-users-scraper-low-cost").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 '{
  "keywords": [
    "fashion",
    "illustration"
  ],
  "maxitemsPerKeyword": 60
}' |
apify call delectable_incubator/behance-people-users-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/behance-people-users-scraper-low-cost"
        }
    }
}

```

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/ZXJMgDD9HUFSSpqys/builds/NEo2HQCHYM9airkhT/openapi.json