ParentSource Article Scraper helps you collect structured article data from ParentSource in multiple formats, including JSON, HTML, and plain text. It simplifies large-scale article extraction while preserving rich metadata like authors, dates, and categories. Built for developers, analysts, and content teams who need clean, reusable article data.

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This project extracts article listings and detailed article content from ParentSource in a structured, machine-readable format. It solves the challenge of manually collecting and organizing large volumes of article data by automating discovery and extraction. The scraper is ideal for researchers, data engineers, and content strategists who need reliable access to ParentSource articles.

• Collects article lists before processing individual article pages
• Supports optional deep extraction of full article content
• Outputs data in formats ready for analysis or publishing workflows
• Handles filtering, limits, and targeted article URLs efficiently

[
  {
    "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.",
    "slug": "carbon-fiber-composite-materials",
    "publishedAt": "March 17th, 2025",
    "author": "Arun Chapman",
    "categories": ["Guides", "Features"],
    "readtime": "7 minute read",
    "url": "https://www.parentsource.com/article?p=carbon-fiber-composite-materials"
  }
]

ParentSource Article Scraper/
├── src/
│   ├── index.js
│   ├── runner.js
│   ├── extractors/
│   │   ├── articleListExtractor.js
│   │   ├── articleDetailExtractor.js
│   │   └── contentParser.js
│   ├── exporters/
│   │   ├── jsonExporter.js
│   │   ├── htmlExporter.js
│   │   └── textExporter.js
│   └── config/
│       └── defaultConfig.json
├── data/
│   ├── sample-input.json
│   └── sample-output.json
├── package.json
└── README.md

• Content analysts use it to gather ParentSource articles so they can perform topic and trend analysis.
• Developers use it to populate applications with structured parenting-related content.
• SEO specialists use it to audit article metadata and publishing patterns.
• Researchers use it to build datasets for content studies and reporting.
• Publishers use it to archive and repurpose article content efficiently.

Can I scrape only specific articles instead of the full site? Yes, you can provide a list of article URLs to target only specific content without processing full article listings.

What output formats are supported? The scraper supports JSON, HTML, and plain text outputs, making it easy to integrate with different workflows.

Is it possible to filter articles by keyword or author? Yes, filtering options allow you to narrow results using search terms, author names, or categories.

Does the scraper include article images and metadata? Yes, featured images, authorship details, timestamps, and SEO metadata are included when article details are enabled.

Primary Metric: Processes an average of 40–60 articles per minute depending on content depth.

Reliability Metric: Maintains a successful extraction rate above 99% across tested article sets.

Efficiency Metric: Optimized request handling minimizes redundant page loads and memory usage.

Quality Metric: Extracted datasets consistently retain full article text and complete metadata fields.

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