Getting Started with Wild Feed

Wild Feed Team
tutorial getting-started json markdown

Getting Started with Wild Feed

Wild Feed is a powerful tool designed to transform and manage your content, especially by converting structured data into Markdown files with proper frontmatter. This guide will walk you through leveraging external tools to prepare your data in JSON format, which Wild Feed can then consume.

Converting Various Data Sources to JSON

To efficiently utilize Wild Feed, your content should first be in a structured JSON format. While Wild Feed specializes in JSON to Markdown conversion, preparing your initial data from sources like CSV, Excel, Notion databases, or Feishu bases into JSON can be streamlined using online tools.

A recommended tool for this initial conversion is TableConvert.com. This versatile online converter allows you to transform various tabular data formats into JSON, among other conversions.

Step-by-Step Conversion using TableConvert.com:

  1. Prepare Your Data: Ensure your data in CSV, Excel, Notion, or Feishu is organized in a clear, tabular format. Each row should represent an entry (e.g., an article, a product), and each column should represent a specific field (e.g., title, author, content).

  2. Choose Your Input Method: On TableConvert.com, you can either:

    • Copy and paste your data directly into the “Data Source” editor.
    • Upload your CSV or Excel file.
    • For Notion or Feishu, you might need to export your database as CSV or Excel first, then upload it.

  3. Map to JSON Structure: This is the most crucial step. You need to ensure your table columns correspond correctly to the fields in your desired JSON template. Consider the following templates:

    Template 1:

    [
  {
    "title": "Template 1",
    "author__name": "",
    "author__url": "",
    "excerpt": "",
    "date": "",
    "tags": [""],
    "coverImage": "",
    "series__name": "",
    "series__order": "",
    "content": ""
  }
]

    Template 2:

    [
  {
    "title": "Template 2",
    "author": {
      "name": "",
      "url": ""
    },
    "excerpt": "",
    "date": "",
    "tags": [""],
    "coverImage": "",
    "series": {
      "name": "",
      "order": ""
    },
    "content": ""
  }
]

    In the TableConvert editor, your column headers should reflect these JSON keys. For nested objects (like author or series in Template 2) or arrays (like tags), you’ll need to define your columns in a way that TableConvert can parse them into the correct JSON structure.

    Example Table View Mapping:

    Let’s say you’re aiming for a structure similar to Template 1 for an article’s metadata. Your table in CSV, Excel, Notion, or Feishu might look like this:

    titledateauthor__nameauthor__urlexcerpttagscontent
    My First Article2023-01-01John Doehttps://johndoe.comA brief summary of my first amazing article.tutorial, writingThis is the body.
    Understanding JSON2023-02-15Jane Smithhttps://janesmith.devDive deep into the world of JSON data structures.json, programmingMore content here.
    Getting Started with AI2024-03-20AI Teamhttps://wildfeed.ahaai.ccAn introduction to artificial intelligence concepts.ai, machine-learningAI concepts.

    For Template 2, where author and series are objects, you would have columns like title, author.name, author.url, date, tags, series.name, series.order, and content. TableConvert is generally smart enough to recognize dot notation for nested objects when converting from tabular data. For arrays like tags, you would typically list tags separated by commas in a single cell, and TableConvert will convert them into an array of strings.

  4. Generate JSON: Once your data is in the TableConvert editor and aligned with your desired column-to-JSON key mapping, select “JSON” as the output format in the “Table Generator” section. You can then copy the generated JSON or download it.

By following these steps, you can effectively transform your raw data into the structured JSON format required by Wild Feed, preparing it for seamless conversion into Markdown files.

Ready to optimize your content? Start applying these techniques with Wild Feed today!

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