leveraging data files for dynamic content in jekyll

Introduction to Data-Driven Content in Jekyll

Jekyll is traditionally a static site generator, but its ability to consume data files allows you to inject dynamic content at build time. Using YAML, JSON, or CSV data files stored in the _data directory, you can create templates that pull from structured data sources, greatly enhancing content maintainability and flexibility.

Why Use Data Files in Jekyll?

• Centralized Content Management: Manage repetitive or related content in a single file.
• Consistency: Avoid duplicate content entry by referencing a common data source.
• Scalability: Easily add or update items without touching template code.
• SEO Benefits: Structured data can improve semantic markup and search appearance.

Setting Up Data Files

Create a _data folder in your Jekyll site root. Add YAML (.yml), JSON (.json), or CSV (.csv) files. For example:

_data/products.yml

Example content for products.yml:

- name: "SEO Audit Service"
  price: 299
  features:
    - "Comprehensive site analysis"
    - "Competitor benchmarking"
    - "Actionable report"
- name: "Content Marketing Package"
  price: 499
  features:
    - "Monthly blog posts"
    - "Social media promotion"
    - "Monthly analytics"

Accessing Data in Templates

You can iterate over data entries with Liquid templating in your pages or includes:

{% raw %}

  {% for product in site.data.products %}
  

    
{{ product.name }}
    
Price: ${{ product.price }}
    

      {% for feature in product.features %}
      
{{ feature }}
      {% endfor %}
    
  
  {% endfor %}

{% endraw %}

Use Cases for Data-Driven Content

• Service or Product Listings: Centralize product info for easy updates.
• Team Member Profiles: Showcase bios and roles from a single YAML file.
• FAQs: Manage question-answer pairs efficiently.
• Pricing Tables: Generate tables dynamically without repetitive markup.

SEO Advantages of Data Files

When combined with proper semantic HTML, data-driven content can help search engines better understand your site structure and offerings. For instance, generating schema.org structured data dynamically improves rich snippet eligibility.

Example: Generating JSON-LD from Data

{% raw %}

{% endraw %}

Best Practices

• Keep data files organized: Use descriptive filenames and folder structures.
• Validate data formats: Avoid errors by ensuring YAML/JSON syntax correctness.
• Use includes: Create reusable templates to render data uniformly.
• Version control: Keep data files under git to track changes.

Case Study: Dynamic Pricing Page

A SaaS startup built their pricing page entirely from YAML data files. This allowed marketing to update packages without developer intervention. The site maintained consistent design and SEO-friendly markup, reducing update time by 70%.

Conclusion

Leveraging data files in Jekyll enables content teams to manage large or repetitive content efficiently, while preserving SEO and design consistency. This data-driven approach is a powerful technique to scale static sites with dynamic flexibility.