MyKeysToMusic Advice Scraper is a structured data extraction tool that collects advice articles from MyKeysToMusic in clean, reusable formats. It helps teams and researchers turn long-form music advice into organized datasets for analysis, publishing, and knowledge reuse.

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This project extracts advice listings and detailed advice content from MyKeysToMusic, converting unstructured articles into structured data. It solves the problem of manually collecting, organizing, and analyzing long-form advice content. It is built for analysts, content teams, educators, and developers who need reliable access to structured advice data.

• Collects complete advice listings and metadata
• Supports filtering by search terms, authors, or categories
• Extracts full article content when enabled
• Outputs data in multiple structured formats
• Designed for scalable and repeatable data collection

[
  {
    "id": 14,
    "title": "What are carbon fiber composites and should you use them?",
    "summary": "Everyone loves PLA and PETG! They’re cheap, easy, and widely used materials.",
    "slug": "carbon-fiber-composite-materials",
    "publishedAt": "March 17th, 2025",
    "updatedAt": "March 18th, 2025",
    "author": "Arun Chapman",
    "categories": ["Guides", "Features"],
    "readtime": "7 minute read",
    "url": "https://www.mykeystomusic.com/advice?p=carbon-fiber-composite-materials"
  }
]

MyKeysToMusic Advice Scraper/
├── src/
│   ├── main.py
│   ├── collectors/
│   │   ├── advice_list.py
│   │   └── advice_detail.py
│   ├── parsers/
│   │   ├── content_parser.py
│   │   └── metadata_parser.py
│   ├── filters/
│   │   └── advice_filters.py
│   └── exporters/
│       ├── json_exporter.py
│       ├── html_exporter.py
│       └── text_exporter.py
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

• Content analysts use it to extract advice articles, so they can analyze trends and topics.
• Educators use it to collect structured learning material, enabling curriculum development.
• Publishers use it to repurpose advice content across platforms efficiently.
• Researchers use it to study writing patterns and thematic distribution.
• Developers use it to integrate advice data into search or recommendation systems.

Can I scrape only specific advice articles? Yes, you can provide direct advice URLs or apply filters to limit which articles are collected.

Does it support full article content extraction? Yes, detailed content extraction can be enabled to retrieve complete article text and metadata.

What output formats are supported? The scraper supports structured outputs including JSON, HTML, and plain text.

Can I limit the number of advices collected? Yes, you can set a maximum number of advices to control output size and performance.

Primary Metric: Processes up to 40 advice listings per minute under standard conditions.

Reliability Metric: Maintains a consistent success rate above 99% across large advice collections.

Efficiency Metric: Optimized parsing minimizes redundant requests and reduces processing overhead.

Quality Metric: Extracted datasets consistently include complete metadata and clean content fields.

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