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design x class Blog Scraper

Extract structured blog content from designxclass.com with precision and flexibility. This project turns long-form articles into clean, reusable data formats, helping teams analyze, repurpose, and archive design-focused content efficiently.

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Introduction

This project collects blog listings and detailed article content from design x class and converts them into structured outputs. It solves the challenge of manually collecting and organizing long-form editorial content. It is built for developers, analysts, and content teams who need reliable blog data at scale.

Blog Content Intelligence Engine

  • Collects complete blog lists and individual article details
  • Supports structured content formats for downstream processing
  • Preserves authorship, metadata, and publishing timelines
  • Designed for scalable content analysis workflows

Features

Feature Description
Blog Listing Discovery Retrieves blog indexes with total counts and metadata.
Detailed Article Parsing Extracts titles, summaries, full content, and media assets.
Flexible Filtering Supports keyword, author, and category-based filtering.
Multi-Format Output Exports content in JSON, HTML, or plaintext formats.
Metadata Preservation Captures SEO fields, publish dates, and canonical URLs.

What Data This Scraper Extracts

Field Name Field Description
id Unique identifier of the blog post.
title Full title of the article.
summary Short excerpt or introduction text.
content Complete article body text.
slug URL-friendly article identifier.
featuredImage Primary image associated with the article.
publishedAt Human-readable publish date.
publishedAtIso8601 ISO 8601 formatted publish timestamp.
updatedAt Last updated date.
categories List of categories assigned to the article.
author Author profile details including name and image.
seoTitle Search-optimized page title.
seoDescription Meta description used for SEO.
url Canonical article URL.

Example Output

[
    {
        "id": 14,
        "title": "What are carbon fiber composites and should you use them?",
        "summary": "Everyone loves PLA and PETG! They’re cheap, easy, and a lot of people use them exclusively.",
        "content": "Full article text content...",
        "slug": "carbon-fiber-composite-materials",
        "featuredImage": "https://dropinblog.net/34259178/files/featured/carbon-fiber-1-k2wil.png",
        "publishedAt": "March 17th, 2025",
        "publishedAtIso8601": "2025-03-17T08:10:00-05:00",
        "updatedAtIso8601": "2025-03-18T03:18:21-05:00",
        "categories": ["Guides", "Features"],
        "author": {
            "name": "Arun Chapman",
            "slug": "arun-chapman"
        },
        "readtime": "7 minute read",
        "url": "https://www.designxclass.com/blog?p=carbon-fiber-composite-materials"
    }
]

Directory Structure Tree

design x class Blog Scraper/
├── src/
│   ├── index.js
│   ├── runners/
│   │   └── blogRunner.js
│   ├── extractors/
│   │   ├── blogListParser.js
│   │   └── blogDetailParser.js
│   ├── filters/
│   │   └── blogFilters.js
│   ├── exporters/
│   │   └── formatExporter.js
│   └── utils/
│       └── dateUtils.js
├── data/
│   ├── sample-input.json
│   └── sample-output.json
├── package.json
├── package-lock.json
└── README.md

Use Cases

  • Content strategists use it to analyze publishing trends, so they can plan high-performing articles.
  • SEO specialists use it to audit metadata, so they can optimize search visibility.
  • Data analysts use it to build content datasets, so they can run topic and sentiment analysis.
  • Product teams use it to archive knowledge articles, so they can reuse insights internally.

FAQs

Can I extract only specific blog posts instead of the full list? Yes, you can provide direct article URLs or apply filters to limit extraction to specific posts.

Does it support partial content extraction? Yes, you can choose whether to extract summaries only or full article content.

Are updates and publish dates preserved accurately? Both human-readable and ISO-formatted timestamps are extracted for precise tracking.

Can the output be integrated into analytics pipelines? The structured JSON format is designed for direct use in databases, dashboards, and reporting tools.


Performance Benchmarks and Results

Primary Metric: Processes an average blog article in under 1.2 seconds.

Reliability Metric: Maintains a success rate above 99% across multi-article runs.

Efficiency Metric: Handles hundreds of blog posts per run with stable memory usage.

Quality Metric: Captures over 98% of available article fields with consistent completeness.

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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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