# Dribbble Scraper - Design Shots & Designer Data (`logiover/dribbble-shots-scraper`) Actor

Scrape Dribbble shots and designer data in bulk. Extract shot title, URL, full-size image, designer name, profile URL and designer ID from any tag or feed to CSV/JSON. No API key, no login.

- **URL**: https://apify.com/logiover/dribbble-shots-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 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

## Dribbble Scraper - Design Shots & Designer Data

![Apify Actor](https://img.shields.io/badge/Apify-Actor-00A67E?logo=apify\&logoColor=white) ![No API key](https://img.shields.io/badge/No%20API%20key-required-2ea44f) ![Pay per result](https://img.shields.io/badge/Pricing-Pay%20per%20result-1C7ED6) ![Export](https://img.shields.io/badge/Export-JSON%20%7C%20CSV%20%7C%20Excel-F59E0B)

**Scrape Dribbble shots and designer data in bulk. Extract shot title, URL, full-size image, designer name, profile URL and designer ID from any tag or feed to CSV/JSON. No API key, no login.**

***

### What does the Dribbble Scraper do?

This Actor turns any Dribbble search into a structured dataset. You give it by tag or by feed URL, it walks the result pages one after another, and it writes one clean row per shot into your dataset — ready to export as JSON, CSV or Excel, or to pull straight from the Apify API.

Dribbble renders its shot grid server-side, tagging every card with the shot ID, title, designer and image set. The Actor reads those cards straight from the HTML, so it needs no browser and no account. Pagination is followed automatically until it runs out of results, hits your page limit or hits your **Max items** cap, whichever comes first. Every row is de-duplicated across the whole run, so you are never billed twice for the same shot.

There is **no API key, no login and no browser** involved. That keeps runs fast and cheap, and it means you can schedule the Actor without worrying about credentials expiring.

### Who is it for?

- **Design recruiters** building shortlists of designers working in a given style.
- **Creative agencies** sourcing freelance talent by visual direction rather than keyword.
- **Design leads** tracking visual trends across a discipline over time.
- **Lead-generation teams** compiling designer profile lists for outreach.
- **Researchers and educators** assembling a labelled dataset of design work.

### Use cases

- Export every shot for a tag such as `branding` and pull the designers behind the best work.
- Build a designer prospect list with profile URLs ready for enrichment.
- Track which visual styles trend on the popular feed week by week.
- Assemble a labelled image dataset of design work with titles.
- Monitor how a competitor's design team publishes work over time.

### Why use this Dribbble Scraper?

- 🔑 **Keyless** — no account, no API token, no cookies to paste.
- 📦 **11 fields per shot** — everything the result page exposes, already typed.
- 📄 **Real pagination** — it walks page after page instead of returning the first screen.
- 🎯 **Precise caps** — **Max items** stops the run exactly where you want it, so the bill is predictable.
- 📊 **Export anywhere** — JSON, CSV, Excel or HTML, plus the Apify API and integrations.
- 💸 **Pay per result** — you pay for rows you actually receive, with no platform fees to calculate.

### What data can you extract?

Every run produces one row per shot, with these fields:

| Field | Type | Description |
|-------|------|-------------|
| `shotId` | string | Dribbble shot ID |
| `title` | string | Shot title |
| `shotUrl` | string | Full shot URL |
| `imageUrl` | string | Largest available shot image URL |
| `designerName` | string | Designer or team display name |
| `designerUrl` | string | Designer or team profile URL |
| `designerId` | string | Dribbble user ID of the designer |
| `tag` | string | Tag or feed this row came from |
| `page` | number | Result page the shot appeared on |
| `position` | number | Rank of the shot within the run |
| `scrapedAt` | string | ISO timestamp of extraction |

#### Output example

```json
{
  "shotId": "27721266",
  "title": "Nexora - AI-Powered B2B E-Commerce Landing Page",
  "shotUrl": "https://dribbble.com/shots/27721266-Nexora-AI-Powered-B2B-E-Commerce-Landing-Page",
  "imageUrl": "https://cdn.dribbble.com/userupload/48985061/file/dd8871dc.png?format=webp&resize=1200x900",
  "designerName": "Korsa",
  "designerUrl": "https://dribbble.com/korsaagency",
  "designerId": "12666113",
  "tag": "branding",
  "page": 1,
  "position": 1,
  "scrapedAt": "2026-09-11T09:30:11.552Z"
}
```

### How to use

#### Option A — by tag

```json
{
  "tags": [
    "branding",
    "illustration"
  ],
  "sortBy": "recent",
  "maxPagesPerSearch": 15,
  "maxItems": 700
}
```

1. Open the Actor and fill in the tag field.
2. Set **Max pages per search** and **Max items** to bound the run.
3. Click **Start**, then export from the **Output** tab.

#### Option B — by feed URL

```json
{
  "startUrls": [
    {
      "url": "https://dribbble.com/shots"
    }
  ],
  "sortBy": "popular",
  "maxPagesPerSearch": 20,
  "maxItems": 500
}
```

Paste one or more Dribbble URLs into **Start URLs** and the Actor paginates each of them independently.

### Input parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `tags` | array | `–` | Dribbble tags to crawl, e. |
| `sortBy` | string | `popular` | Which Dribbble feed to read. |
| `startUrls` | array | `[]` | Dribbble listing URLs to crawl instead of, or in addition to, the tags above. |
| `maxPagesPerSearch` | integer | `8` | How many result pages to walk for each search. |
| `maxItems` | integer | `500` | Stop after this many shots. |
| `maxConcurrency` | integer | `3` | Parallel requests. |
| `proxyConfiguration` | object | `{"useApifyProxy": true}` | Proxy used to fetch pages. |

### Tips for best results

- Use a tag such as `branding`, `mobile` or `illustration` for focused results, or leave it empty for the main shots feed.
- Dribbble returns 24 shots per page, so plan page counts accordingly.
- De-duplicate on `designerId` when you want a list of people rather than a list of shots.
- `recent` surfaces new work and is the better feed for trend tracking; `popular` is better for quality.
- `imageUrl` points at the largest rendition Dribbble serves, ready to download.
- Schedule a weekly run on the same tag to watch a niche evolve.
- `designerUrl` is the profile page — enrich it separately if you need contact details.
- Keep **Max concurrency** low; Dribbble is sensitive to rapid parallel requests.
- The feed repeats itself once exhausted, and the Actor stops automatically when that happens.
- Pair with the website contact scraper to turn designer profiles into an outreach list.

### Integrations

Send results straight into the tools you already use: **Google Sheets**, **Slack**, **Zapier**, **Make**, **Airtable** or any **Webhook**. You can also **schedule** the Actor to run hourly, daily or weekly and have each run append to the same dataset, which is how you build a price or availability history rather than a one-off snapshot.

### API usage

Run the Actor and collect results from any language. Replace `<YOUR_TOKEN>` with your Apify API token.

**cURL**

```bash
curl -X POST "https://api.apify.com/v2/acts/logiover~dribbble-shots-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"tags": ["branding", "illustration"], "sortBy": "recent", "maxPagesPerSearch": 15, "maxItems": 700}'
```

**Node.js**

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

const client = new ApifyClient({ token: '<YOUR_TOKEN>' });
const run = await client.actor('logiover/dribbble-shots-scraper').call({"tags": ["branding", "illustration"], "sortBy": "recent", "maxPagesPerSearch": 15, "maxItems": 700});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient('<YOUR_TOKEN>')
run = client.actor('logiover/dribbble-shots-scraper').call(run_input={"tags": ["branding", "illustration"], "sortBy": "recent", "maxPagesPerSearch": 15, "maxItems": 700})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)
```

### Use with AI agents (MCP)

This Actor is available through the Apify MCP server, so an AI agent can call it as a tool. Point your agent at `https://mcp.apify.com` and it can run the Dribbble Scraper on demand — for example: *"Pull the first 500 shots from Dribbble and summarise the price distribution."* The agent receives the same structured rows you would get from the UI.

### FAQ

#### Do I need a Dribbble account or API key?

No. The Actor reads publicly available pages only. There is nothing to authenticate and no credentials to rotate.

#### How many shots can I get in one run?

As many as the search exposes. Raise **Max pages per search** and **Max items** together; the run stops at whichever limit it reaches first.

#### Why did I get fewer rows than I asked for?

The search ran out of shots. That is normal for narrow queries — broaden the search or add more searches to one run.

#### Are results de-duplicated?

Yes. Each shot is emitted once per run, even when it appears on several pages, so you are never billed twice for the same record.

#### Why are some fields empty?

Dribbble does not publish every attribute for every shot. Empty means the source did not show it, not that extraction failed.

#### What export formats are supported?

JSON, CSV, Excel, HTML and RSS from the **Output** tab, plus the Apify API and any integration you connect.

#### How fast is it?

It is pure HTTP with no browser, so a page of results typically takes a second or two. Raise **Max concurrency** carefully — the source rate-limits aggressive crawling.

#### Can I schedule it?

Yes. Use the Apify scheduler to run it on any interval and append each run to the same dataset for time-series analysis.

#### Does it work behind a proxy?

It uses Apify Proxy automatically. You can switch groups or supply your own proxies in **Proxy configuration**.

#### How often does the data change?

Dribbble updates continuously. Re-run whenever you need current data; the Actor always reads the live pages, never a cache.

#### Is the output schema stable?

Yes. Field names and types are fixed, so downstream pipelines will not break between runs.

#### What if the site changes its layout?

Open an issue on the **Issues** tab and it gets fixed. The Actor is actively maintained.

### Is it legal?

This Actor reads only publicly available pages on Dribbble — the same content any visitor sees without logging in. It does not bypass authentication, does not collect private data and does not attempt to defeat access controls. You are responsible for how you use the output: respect the source's terms of service, applicable copyright, and data-protection law such as GDPR where personal data is involved. Scraping public data is generally lawful in the EU and the US, but the responsibility for the downstream use of that data sits with you.

### Related scrapers

- [Website Contact Scraper](https://apify.com/logiover/website-contact-scraper) — Turn profile URLs into contact details
- [LinkedIn Profile Scraper](https://apify.com/logiover/linkedin-profile-scraper) — Professional profile data
- [Product Hunt Scraper](https://apify.com/logiover/product-hunt-daily-launches-scraper) — Daily product launches
- [Behance-style sourcing](https://apify.com/logiover/website-image-media-extractor) — Bulk image and media extraction

# Actor input Schema

## `tags` (type: `array`):

Dribbble tags to crawl, e.g. branding, mobile, illustration. Leave empty to crawl the main shots feed.

## `sortBy` (type: `string`):

Which Dribbble feed to read.

## `startUrls` (type: `array`):

Dribbble listing URLs to crawl instead of, or in addition to, the tags above.

## `maxPagesPerSearch` (type: `integer`):

How many result pages to walk for each search. Set 0 for no limit.

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

Stop after this many shots. Set 0 for no limit.

## `maxConcurrency` (type: `integer`):

Parallel requests. Lower this if the site rate-limits you.

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

Proxy used to fetch pages. Defaults to Apify Proxy (automatic). You usually do not need to change this.

## Actor input object example

```json
{
  "tags": [
    "branding"
  ],
  "sortBy": "popular",
  "startUrls": [],
  "maxPagesPerSearch": 8,
  "maxItems": 500,
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

All shots extracted in this run.

# 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 = {
    "tags": [
        "branding"
    ],
    "maxPagesPerSearch": 8,
    "maxItems": 500,
    "maxConcurrency": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/dribbble-shots-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 = {
    "tags": ["branding"],
    "maxPagesPerSearch": 8,
    "maxItems": 500,
    "maxConcurrency": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/dribbble-shots-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 '{
  "tags": [
    "branding"
  ],
  "maxPagesPerSearch": 8,
  "maxItems": 500,
  "maxConcurrency": 3
}' |
apify call logiover/dribbble-shots-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,logiover/dribbble-shots-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/4I0wc52y19LyBLbig/builds/SAzRhhaVKuTced6m0/openapi.json