# Behance Creator History & Analytics Scraper (`haketa/behance-creator-history-scraper`) Actor

Get a Behance creator's full portfolio history & analytics: every project in chronological order with views, appreciations and comments, plus a year-by-year career timeline, engagement trend, top projects and the fields, tools and colors that define their work.

- **URL**: https://apify.com/haketa/behance-creator-history-scraper.md
- **Developed by:** [Haketa](https://apify.com/haketa) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 creator profile & histories

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 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 Creator History & Analytics Scraper 🎨📈

![Creators](https://img.shields.io/badge/data-creator%20history-2563eb)
![Timeline](https://img.shields.io/badge/career-timeline-7c3aed)
![Engagement](https://img.shields.io/badge/metrics-views%20%7C%20appreciations-16a34a)
![Analytics](https://img.shields.io/badge/output-derived%20analytics-e11d48)
![Format](https://img.shields.io/badge/output-JSON%20%7C%20CSV%20%7C%20Excel-f59e0b)
![No login](https://img.shields.io/badge/login-not%20required-0891b2)
![Pay per result](https://img.shields.io/badge/pricing-pay%20per%20result-0d9488)
![Maintained](https://img.shields.io/badge/status-actively%20maintained-22c55e)
![Support](https://img.shields.io/badge/support-responsive-3b82f6)

Most Behance scrapers hand you a flat list of projects. **This one reconstructs a creator's entire career.** Give it a username and get the **full chronological portfolio**, per-project engagement (views, appreciations, comments), a **year-by-year timeline**, and ready-made **analytics** — growth trend, top projects, and the tools, fields and colors that define their work.

> Built for talent research, creator scouting, competitive analysis, trend studies and portfolio benchmarking. No login, no setup — enter a username and press **Start**.

***

### ✨ What makes this different

Other scrapers give you *what a creator posted*. This one tells you *how their career evolved*:

- 🕰️ **Full chronological history** — every project from the first to the latest, with exact publish dates.
- 📊 **Per-project engagement** — views, appreciations and comments for each piece.
- 📈 **Career timeline** — projects and engagement aggregated by year, so you can see rise, peak and pace.
- 🧠 **Derived analytics** — total & average engagement, most-viewed & most-appreciated projects, an **engagement trend** (rising / stable / declining), publishing frequency and active-years.
- 🎨 **Creative breakdown** — the fields, tools and dominant colors that characterize the creator's body of work.
- 👤 **Profile snapshot** — followers, location, company, occupation, website and Creator-Pro status.

***

### 📦 Output per creator (one record)

```jsonc
{
  "username": "pixelbuddha",
  "url": "https://www.behance.net/pixelbuddha",
  "profile": {
    "displayName": "Pixelbuddha",
    "location": "…", "country": "…", "company": "…", "occupation": "…",
    "website": "…", "avatar": "…", "isCreatorPro": true,
    "followers": 120000, "following": 42,
    "profileAppreciations": 350000, "profileViews": 5200000,
    "fields": ["Graphic Design", "UI/UX"]
  },
  "career": {
    "totalProjects": 87,
    "firstProjectDate": "2013-04-11T…", "lastProjectDate": "2026-07-30T…",
    "activeYears": 13, "avgProjectsPerYear": 6.7, "featuredProjects": 24
  },
  "engagement": {
    "totalViews": 2400000, "totalAppreciations": 180000, "totalComments": 5400,
    "avgViewsPerProject": 27586, "avgAppreciationsPerProject": 2069,
    "mostViewedProject": { "name": "…", "url": "…", "views": 210000, "appreciations": 9800, "year": 2019 },
    "mostAppreciatedProject": { "name": "…", "url": "…", "appreciations": 12400, "year": 2018 },
    "engagementTrend": "rising"
  },
  "timeline": [
    { "year": 2013, "projects": 4, "views": 82000, "appreciations": 3100, "comments": 90 },
    { "year": 2014, "projects": 9, "views": 210000, "appreciations": 9800, "comments": 240 }
  ],
  "topProjects": [ { "name": "…", "url": "…", "views": 210000, "appreciations": 12400, "year": 2018 } ],
  "breakdown": {
    "topFields": [ { "name": "Graphic Design", "count": 61 }, { "name": "UI/UX", "count": 22 } ],
    "topTools":  [ { "name": "Photoshop", "count": 40 } ],
    "topColors": ["#1c1963", "#f4f4f4"]
  },
  "projects": [
    {
      "id": 54614713, "name": "…", "url": "…",
      "publishedOn": "2017-07-24T…", "year": 2017,
      "views": 14598, "appreciations": 682, "comments": 0,
      "fields": ["Branding"], "tools": ["Illustrator"], "colors": ["#1c1963"],
      "isFeatured": true, "coverImage": "…"
    }
  ]
}
```

***

### 🚀 Quick start

1. Enter one or more **Behance usernames** (or paste profile URLs).
2. Optionally turn off **Include full project list** if you only want the analytics.
3. Click **Start** and export to JSON, CSV, Excel — or fetch via API.

#### Example input

```json
{
  "usernames": ["pixelbuddha", "adobe"],
  "includeProjectList": true,
  "maxProjectsPerCreator": 0
}
```

***

### 💡 Use cases

- **Talent scouting & recruiting** — evaluate a designer's real output, consistency and momentum, not just a follower count.
- **Creator/influencer vetting** — verify engagement quality and career trajectory before a collaboration.
- **Competitive & market analysis** — benchmark studios and creators by output, engagement and focus areas.
- **Trend research** — see which fields, tools and styles a cohort of creators leans on over time.
- **Portfolio analytics** — build dashboards of a creator's growth and best-performing work.

***

### 🔌 Run via API

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "usernames": ["pixelbuddha"],
    "includeProjectList": True,
})
for creator in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(creator["username"], creator["career"]["totalProjects"],
          creator["engagement"]["engagementTrend"])
```

**JavaScript / Node.js**

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('YOUR_ACTOR_ID').call({ usernames: ['adobe'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].timeline);
```

***

### ❓ FAQ

**What do I provide?**
Just Behance usernames (or profile URLs). Each creator becomes one rich record.

**How far back does the history go?**
The entire public portfolio — from the first published project to the most recent.

**How is the engagement trend calculated?**
By comparing average appreciations across the newer half of the career versus the older half (`rising` / `stable` / `declining`). It needs at least four projects to be meaningful.

**Can I get only the analytics without every project?**
Yes — turn off **Include full project list** to keep just the profile, career, engagement, timeline and breakdown.

**Does it need a login or API key?**
No.

***

### ⚖️ Legal & responsible use

This actor collects **publicly available** portfolio information for legitimate purposes such as talent research, analytics and market research. It does not access private or personal data beyond what creators publish publicly. It is **not affiliated with, endorsed by, or connected to Behance or Adobe** — all product and company names are trademarks of their respective owners.

You are responsible for how you use the collected data. Use it in compliance with applicable laws (including the GDPR), the target website's Terms of Service, and relevant data-protection rules. Respect rate limits and use the data ethically.

***

#### 💬 Support & feedback

Want extra metrics, a different aggregation, or another creative platform covered? Open an issue or send a message — feature requests are welcome and the actor is **actively maintained**.

# Actor input Schema

## `usernames` (type: `array`):

One or more Behance usernames or profile URLs (e.g. "pixelbuddha" or "https://www.behance.net/pixelbuddha"). Each creator's full portfolio history & analytics is returned as one record.

## `includeProjectList` (type: `boolean`):

Include the complete chronological list of projects (with per-project views, appreciations, comments, fields, tools & colors) in each record. Turn off if you only want the profile + aggregated analytics.

## `maxProjectsPerCreator` (type: `integer`):

Limit how many projects to fetch per creator (newest first). 0 = all projects.

## `proxyConfiguration` (type: `object`):

Proxy settings. Residential proxy is required for reliable results.

## Actor input object example

```json
{
  "usernames": [
    "pixelbuddha",
    "adobe"
  ],
  "includeProjectList": true,
  "maxProjectsPerCreator": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `username` (type: `string`):

No description

## `url` (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 = {
    "usernames": [
        "pixelbuddha"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("haketa/behance-creator-history-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 = { "usernames": ["pixelbuddha"] }

# Run the Actor and wait for it to finish
run = client.actor("haketa/behance-creator-history-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 '{
  "usernames": [
    "pixelbuddha"
  ]
}' |
apify call haketa/behance-creator-history-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,haketa/behance-creator-history-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/hfhAYs2EhMjwzbUka/builds/cgxn8CWp8h5KHeIfU/openapi.json