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ImageShack Scraper

ImageShack Scraper is a fast and reliable tool for extracting rich image data from ImageShack’s public pages. It helps developers, analysts, and content teams collect structured image metadata for research, discovery, and content-driven workflows with minimal effort.

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Introduction

This project retrieves detailed information about images published on ImageShack, including featured, discovered, user, and individual image pages. It solves the problem of accessing structured image data where no simple public API is available and is designed for users who need clean, reusable datasets.

It is ideal for developers, data teams, and researchers working on media analysis, trend discovery, or content aggregation.

Image Discovery & Metadata Collection

  • Collects image details from featured, discover, user, and image pages
  • Extracts identifiers, URLs, tags, usernames, and timestamps
  • Optionally expands datasets with related images
  • Supports controlled limits for large listings
  • Designed for stable, high-throughput data collection

Features

Feature Description
Featured Images Extraction Retrieve images highlighted on ImageShack for curated content analysis.
Discover Page Scraping Collect the latest images from the discover feed in near real time.
Detailed Image Metadata Extract IDs, image URLs, usernames, tags, upload time, and avatars.
Related Images Support Optionally include related images linked to each primary image.
Flexible URL Inputs Works with lists, user profiles, and individual image pages.

What Data This Scraper Extracts

Field Name Field Description
type Type of item, typically image.
url Public ImageShack page URL.
imageId Unique identifier of the image.
imageUrl Primary image URL.
imageUrlAlt Alternative or scaled image URL.
imageName Image title or name if available.
userAvatar URL of the uploader’s avatar image.
tags List of tags associated with the image.
uploadedAt Image upload date and time.
relatedImages List of related images when enabled.

Example Output

[
    {
        "type": "image",
        "url": "https://imageshack.com/i/f0e2aa72j",
        "imageId": "f0e2aa72j",
        "imageUrl": "http://imageshack.com/scaled/medium/540/e2aa72.jpg",
        "imageUrlAlt": "https://imagizer.imageshack.com/a/img540/1851/e2aa72.jpg",
        "imageName": ".",
        "userAvatar": "https://imagizer.imageshack.com/v2/56x56q70/c/843/0f7u.jpg",
        "tags": [
            "bike",
            "game",
            "jump",
            "photography",
            "sport",
            "sports"
        ],
        "uploadedAt": "2014-07-16 11:18",
        "relatedImages": []
    }
]

Directory Structure Tree

ImageShack Scraper/
├── src/
│   ├── main.js
│   ├── crawler/
│   │   ├── image_parser.js
│   │   └── related_images.js
│   ├── utils/
│   │   ├── helpers.js
│   │   └── validators.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── input.sample.json
│   └── output.sample.json
├── package.json
└── README.md

Use Cases

  • Data analysts use it to collect large image datasets, so they can analyze visual trends and tag distributions.
  • Content researchers use it to monitor featured and discover images, so they can stay updated on popular visuals.
  • Developers use it to build media-driven applications, so they can integrate structured image metadata easily.
  • Marketing teams use it to study image themes and tags, so they can align campaigns with trending visuals.

FAQs

Can I limit how many images are collected? Yes, you can define a maximum item limit to control dataset size when working with large pages or feeds.

Does it support user profile pages? Yes, user profile URLs are supported and will return images associated with that user.

Can related images increase runtime? Including related images increases the number of requests and data volume, which can proportionally affect runtime and resource usage.

What happens if invalid input is provided? The process stops early and reports a clear error message explaining what needs to be corrected.


Performance Benchmarks and Results

Primary Metric: Processes roughly 100 images per minute under stable conditions.

Reliability Metric: Maintains a high success rate when provided with valid URLs and configuration.

Efficiency Metric: Optimized requests keep resource usage low while maintaining high throughput.

Quality Metric: Image records are consistently complete with accurate metadata and tag coverage.

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Review 1

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time."

Nathan Pennington
Marketer
★★★★★

Review 2

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on."

Eliza
SEO Affiliate Expert
★★★★★

Review 3

"Exceptional results, clear communication, and flawless delivery.
Bitbash nailed it."

Syed
Digital Strategist
★★★★★

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