HTML to JSON Lines Converter

About HTML to JSON Lines Converter

The HTML to JSON Lines converter turns HTML into JSONL (JSON Lines) , where each line is its own JSON object. This format is perfect for stream processing, log-style storage, big data imports, and machine learning pipelines that expect one JSON record per line.

Key Features

• JSON Lines Format: Each line is a separate, valid JSON object
• Two Modes: Hierarchical (preserves structure) or Flattened (one element per line)
• Attribute Extraction: Optionally include all HTML attributes
• Streaming-Friendly: Process large HTML files line by line
• Parent Context: In flatten mode, includes parent element information
• Text Extraction: Captures text content from elements

How to Use

1. Input HTML: Paste your HTML code or upload an .html file
2. Choose Mode: Select hierarchical or flattened structure
3. Configure Options: Toggle attribute inclusion
4. Review Output: The JSON Lines output updates automatically
5. Copy or Download: Save as .jsonl file

Output Modes

• Hierarchical Mode: Each top-level element becomes one JSON line with nested children
• Flatten Mode: Every element becomes a separate JSON line with parent context

JSON Lines Format

JSON Lines (JSONL) is a text format where:

• Each line is a valid JSON object
• Lines are separated by newline characters (\n)
• No commas between objects
• Easy to stream and process incrementally

Example Output (Hierarchical)

{"tag":"div","attributes":{"class":"container"},"children":[...]} 
{"tag":"p","text":"Sample text","children":[]}

Example Output (Flattened)

{"tag":"div","attributes":{"class":"container"},"parent":"body"} 
{"tag":"h1","text":"Title","parent":"div"} 
{"tag":"p","text":"Text","parent":"div"}

Common Use Cases

• Data Streaming: Process HTML data in streaming pipelines
• Log Analysis: Analyze HTML structure as log entries
• Big Data: Import HTML data into Hadoop, Spark, or similar systems
• Machine Learning: Prepare HTML data for ML training
• ETL Pipelines: Extract HTML data for transformation workflows
• Database Import: Import HTML elements into NoSQL databases

FAQ

• When should I use hierarchical mode vs flatten mode?
  Use hierarchical mode when you want each top-level element as a self-contained JSON tree. Use flatten mode when you need one JSON record per element for indexing, analytics, or ML features.
• Is JSON Lines better for big data than regular JSON?
  Yes. JSONL is easier to stream, split, and append because each line is an independent object. Tools like Hadoop, Spark, and Logstash handle JSONL very well.
• Can I import JSONL into databases?
  Many NoSQL and analytics platforms accept JSONL directly, or you can convert it into bulk import formats easily because each line is a record.
• What about performance on very large HTML files?
  The tool runs in your browser, so extremely large HTML files are limited by browser memory. For huge inputs, consider preprocessing or chunking your HTML.

Privacy & Security

All HTML to JSON Lines conversions are performed locally in your browser. Your HTML and generated JSONL are never sent to any external service.