Dribbble Popular Shots Scraper

Extract structured data from Dribbble's popular design shots page. This Apify actor scrapes shot details, creator profiles, engagement metrics, and media assets, outputting clean JSON for analysis or integration.

Overview

This actor scrapes Dribbble's "Popular Shots" feed. It's built for developers, researchers, and teams who need programmatic access to trending design data. The output is structured JSON, suitable for building design tools, tracking trends, or populating databases.

Key Features

• Comprehensive Data: Extracts shot titles, descriptions, links, and unique IDs.
• Media URLs: Captures high-quality image URLs and video teasers (small, medium, large sizes).
• Creator Information: Gets user profiles, avatars, and Pro account status.
• Engagement Metrics: Pulls view counts, likes, rebounds, and publication dates.
• Metadata: Includes tags and categories for trend analysis.
• Structured Output: Delivers data as a JSON array, with an option for individual shot files.
• Built on Apify SDK: A reliable, maintained scraping framework.

How to Use

Run the actor on the Apify platform. You can use the default input configuration to scrape the current popular shots, or customize it via the input schema.

Basic Input (defaults):

{
  "startUrls": ["https://dribbble.com/shots/popular"]
}

The actor will navigate the page, scroll to load content, and extract data from all visible popular shots.

Input/Output

Input Schema

The primary input is a startUrl (typically the popular shots page). Advanced options in the Apify console allow for controlling pagination depth and request handling.

Output

The dataset contains items, each representing a single Dribbble shot. Below is the structure of a single shot's data.

{
  "shotId": "26630909",
  "title": "Nurox home page interaction",
  "link": "https://dribbble.com/shots/26630909-Nurox-home-page-interaction",
  "imageUrl": "https://cdn.dribbble.com/userupload/45246976/file/small-b3babe3cc03ae363932a5da04af89c0d.mp4",
  "tags": ["Nurox", "home", "page", "interaction", "blockchain", "crypto", "design"],
  "userName": "Emote",
  "userProfileLink": "https://dribbble.com/emoteagency",
  "userAvatarUrl": "https://cdn.dribbble.com/users/11502486/avatars/small/15f0c2b89bfef25f6fb574e053de97f3.png",
  "isProUser": true,
  "views": "5.7k",
  "likes": 85,
  "publishedAt": "about 4 hours ago",
  "isRebound": null,
  "reboundsCount": 0,
  "videoTeasers": {
    "small": "https://cdn.dribbble.com/userupload/45246976/file/small-b3babe3cc03ae363932a5da04af89c0d.mp4",
    "medium": "https://cdn.dribbble.com/userupload/45246976/file/medium-b3babe3cc03ae363932a5da04af89c0d.mp4",
    "large": "https://cdn.dribbble.com/userupload/45246976/file/large-b3babe3cc03ae363932a5da04af89c0d.mp4"
  }
}

The full dataset is an array of these objects. You can access it via the Apify dataset API or download it as JSON.