# Dribbble Designer Scraper (`easyapi/dribbble-designer-scraper`) Actor

🎨 Effortlessly scrape Dribbble designer profiles! Based on keyword searches, collect usernames, profile URLs, professional status, skills, and meta tags. Perfect for recruiters, agencies, and researchers to quickly discover and understand designers with specific expertise on Dribbble. 🚀

- **URL**: https://apify.com/easyapi/dribbble-designer-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 79 total users, 8 monthly users, 0.0% runs succeeded, 6 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🎨 Dribbble Designer Scraper

This Actor scrapes designer profiles from Dribbble based on a given keyword search. It utilizes Puppeteer with stealth mode to navigate through search results and extract detailed information about designers.

### ✨ Features

- 🔍 Search for designers using keywords
- 👤 Extract designer profiles including username, profile URL, and professional status
- 🛠️ Collect designer skills and meta tags
- 🔢 Configurable maximum number of results
- 🕵️ Uses stealth mode to avoid detection

### 📥 Input

The Actor accepts the following input parameters:

- `keyword` (required): The search term to find designers on Dribbble
- `maxResults` (optional): The maximum number of designer profiles to scrape (default: 100)

### 📤 Output

The Actor outputs a dataset containing the following information for each designer:

- 👤 Username
- 🔗 Profile URL
- 🏅 Professional status (PRO badge)
- 💼 Skills
- 🏷️ Meta tags

### 🚀 Usage

To use this Actor, simply provide a search keyword and optionally set the maximum number of results you want to scrape. The Actor will then navigate through Dribbble's search results, collecting designer information until it reaches the specified limit or exhausts all results.

This Actor is perfect for recruiters, design agencies, or researchers looking to gather information about designers with specific skills or specialties on Dribbble.

### 💡 Use Cases

- 🎯 Targeted Recruitment: Quickly find designers with specific skills
- 🔬 Market Research: Analyze trends in designer skills and popular tags
- 🤝 Partnership Discovery: Find potential freelancers or design agencies
- 🏆 Talent Tracking: Monitor top designers' activities and status

#### Input Example

A full explanation of an input example in JSON.

```
{
  "maxResults": 100,
  "keyword": "ios"
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```
[
	{
		"userName": "UI8",
		"profileUrl": "https://dribbble.com//UI8",
		"pro": "Pro",
		"skills": [
			"creative direction",
			"interaction design",
			"animation",
			"3d graphics",
			"branding",
			"ui",
			"web design",
			"product design",
			"ux"
		],
		"tags": [
			"From $20,000/project",
			"Dubai, United Arab Emirates",
			"Responds within a day"
		]
	},
	{
		"userName": "Vladimir Rakshâ",
		"profileUrl": "https://dribbble.com//rakshamann",
		"pro": "Pro",
		"skills": [
			"website design",
			"uiux design",
			"ios ui",
			"application",
			"landing",
			"app design",
			"ux design",
			"mobile design",
			"dashboard",
			"ui design",
			"web design",
			"web ui"
		],
		"tags": [
			"From $1,200/project",
			"United Arab Emirates",
			"Responds within a few hours"
		]
	},
    ...
]
```

# Actor input Schema

## `keyword` (type: `string`):

Enter a keyword to search for designers on Dribbble

## `maxResults` (type: `integer`):

The maximum number of designer profiles to scrape. The actor will stop when this limit is reached.

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

Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.

## Actor input object example

```json
{
  "keyword": "ios",
  "maxResults": 100,
  "proxyConfiguration": {}
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/dribbble-designer-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/dribbble-designer-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 '{}' |
apify call easyapi/dribbble-designer-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/dribbble-designer-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/p3YlpT1275nD7Idhi/builds/Kcwri6xJN3FHRJJQt/openapi.json