# Behance User Extractor (`kawsar/behance-user-extractor`) Actor

Behance Profiles Extractor that scrapes creator profiles by keyword or username, so SEO teams and recruiters can collect portfolio stats, locations, and contact signals without manual browsing.

- **URL**: https://apify.com/kawsar/behance-user-extractor.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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

## Behance User Extractor: scrape Behance users by keyword for SEO and talent research

Behance User Extractor collects Behance users from keyword search. Enter one or more keywords and get profile stats, location, freelance availability, and project previews in structured JSON, CSV, or Excel.

Behance is where designers, illustrators, and studios publish work. Searching users by hand does not scale. This actor automates Behance user search so you can build creator lists and SEO research datasets without paging through the site yourself.

### What data does this actor extract?

All fields come from Behance user search results (no separate profile page visit):

| Field | Description |
| --- | --- |
| `userId` | Behance numeric user ID |
| `username` | Profile handle |
| `displayName` | Public display name |
| `firstName` | First name when present |
| `profileUrl` | Canonical profile URL |
| `avatarUrl` | Avatar image URL |
| `company` | Company or studio name |
| `location` / `country` | Location strings |
| `locationUrl` | Behance location filter URL |
| `followers` / `appreciations` / `projectViews` | Engagement totals |
| `availableForFreelance` | Freelance availability flag |
| `isFeaturedFreelancer` | Featured freelancer flag |
| `isActive` | Active account flag |
| `isCreatorPro` / `isRecruiterPro` | Pro subscription flags |
| `completedFreelanceProjects` / `fullyPaidFreelanceProjects` / `canceledFreelanceProjects` | Freelance counts |
| `reviewCount` | Freelance review count |
| `socialLinks` | Social links when present on the card |
| `projectPreviews` | Sample projects (name, URL, cover, colors) |
| `searchKeyword` | Keyword that produced the row |
| `scrapedAt` | UTC extraction timestamp |
| `error` | Per-item error message if something failed |

### How to use it

1. Open the actor on Apify and click Try for free.
2. Enter one or more search keywords (one per line), for example `designer` and `illustrator`.
3. Set Max items (default 20) and run.
4. Download results from the Dataset tab as JSON, CSV, Excel, or XML.

### Input parameters

| Field | Type | Default | Description |
| --- | --- | --- | --- |
| `searchKeywords` | string\[] | `designer`, `illustrator` | Keywords for Behance user search (one per line) |
| `maxItems` | integer | `20` | Cap on users per run across all keywords (max 1000) |
| `requestTimeoutSecs` | integer | `30` | Per-request timeout in seconds |

Example input:

```json
{
    "searchKeywords": ["ui ux", "graphic designer"],
    "maxItems": 20,
    "requestTimeoutSecs": 30
}
```

### Example output

```json
{
    "userId": 39597161,
    "username": "desig_ner",
    "displayName": "Egor Kuznetsov",
    "firstName": "Egor",
    "profileUrl": "https://www.behance.net/desig_ner",
    "avatarUrl": "https://pps.services.adobe.com/api/profile/.../276",
    "company": null,
    "location": "Moscow, Russian Federation",
    "country": "Russian Federation",
    "locationUrl": "https://www.behance.net/search/users?country=RU&city=Moscow",
    "followers": 34,
    "appreciations": 80,
    "projectViews": 1336,
    "availableForFreelance": false,
    "isFeaturedFreelancer": false,
    "isActive": true,
    "isCreatorPro": false,
    "isRecruiterPro": false,
    "completedFreelanceProjects": 0,
    "fullyPaidFreelanceProjects": 0,
    "canceledFreelanceProjects": 0,
    "reviewCount": 0,
    "socialLinks": [],
    "projectPreviews": [
        {
            "name": "Landing Page.",
            "url": "https://www.behance.net/gallery/43241481/Landing-Page",
            "coverImage": "https://mir-s3-cdn-cf.behance.net/projects/original/...",
            "colors": { "r": 241, "g": 238, "b": 236 }
        }
    ],
    "searchKeyword": "designer",
    "scrapedAt": "2026-09-12T12:00:00+00:00",
    "error": null
}
```

### Use cases

- SEO and market research: see which creators and locations show up for a keyword on Behance.
- Recruiting: build shortlists of designers or illustrators with follower and appreciation stats.
- Agency competitive checks: scan user search results in a niche without manual browsing.
- Freelance market scans: spot creators marked available for freelance work.

### FAQ

**Can I search multiple keywords in one run?**
Yes. Add each keyword on its own line in `searchKeywords`. The `maxItems` limit is shared across all keywords, and duplicate usernames are skipped.

**Does the actor open individual profile pages?**
No. It reads everything from Behance user search results so runs stay fast and consistent.

**How many users can I extract per run?**
Up to 1000 via `maxItems`. The default is 20.

**Is this a Behance SEO tool?**
It is built for SEO and research workflows that need structured Behance user data from keyword search.

### Related searches

Behance user scraper, Behance profile search scraper, Behance freelancers search, Behance creator stats, scrape Behance users Apify.

Run Behance User Extractor on Apify when you need clean Behance user search data without manual browsing.

# Actor input Schema

## `searchKeywords` (type: `array`):

Keywords to search Behance users (for example designer, ui ux, illustrator). One keyword per line.

## `maxItems` (type: `integer`):

Maximum number of users to extract per run across all keywords.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

## Actor input object example

```json
{
  "searchKeywords": [
    "graphic designer",
    "ui ux"
  ],
  "maxItems": 20,
  "requestTimeoutSecs": 30
}
```

# Actor output Schema

## `properties` (type: `string`):

Extracted Behance users from keyword search with stats, location, availability, and project previews.

# 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 = {
    "searchKeywords": [
        "designer",
        "illustrator"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/behance-user-extractor").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 = { "searchKeywords": [
        "designer",
        "illustrator",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("kawsar/behance-user-extractor").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 '{
  "searchKeywords": [
    "designer",
    "illustrator"
  ]
}' |
apify call kawsar/behance-user-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/behance-user-extractor"
        }
    }
}

```

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/x52mH6EjSOuL9bzPh/builds/Zic6lN0h9aQzP9EFF/openapi.json
