html-table-rescuer 0.2.0

Extracts HTML tables and converts them to Markdown, preserving structure via row/colspan handling.

html-table-rescuer

A robust Python tool to extract complex HTML tables and convert them into clean Markdown, JSON, or CSV formats.

Unlike simple formatters, this library features a Grid Logic Solver that correctly interprets rowspan and colspan attributes, normalizing complex HTML grids into perfectly aligned data structures.

How is this different from other table2md packages?

There is an existing package called table2md on PyPI.

• The existing package is a formatter. You feed it Python lists/dicts, and it draws a Markdown table.

• This package is an extractor and parser. It takes raw HTML source code, uses BeautifulSoup to parse the tags, mathematically resolves complex cell spans (rowspans/colspans), and builds an internal representation before exporting to Markdown.

The Problem:

Most parsers turn this <td rowspan="2"> into a misaligned mess:

| Header | Value |
|---|---|
| Spanned | Row 1 |
| Row 2 | |   <-- Everything shifts!

The Solution:

html-table-rescuer uses a grid solver to correctly normalize the matrix:

| Header | Value |
|---|---|
| Spanned | Row 1 |
| dito (Spanned) | Row 2 |

Architecture

Our pipeline ensures that complex HTML structures are safely converted without data loss or misalignment:

graph TD
    n1["HTML Input"] --> n2["BeautifulSoup Parser"]
    n2 --> n3["Grid Logic<br>(Rowspan/Colspan Solver)"]
    n3 --> n4["ParsedTable Data Object"]
    n4 --> n5["Markdown Export"]
    n4 --> n6["JSON/CSV Export"]
    n4 --> n7["LangChain/LlamaIndex Wrappers"]

Installation

pip install html-table-rescuer

(The import name stays table2md.)

Quick Start

from table2md import TableParser

html_content = """
<table border="1">
  <tr>
    <th colspan="2">Header</th>
  </tr>
  <tr>
    <td>Data 1</td>
    <td>Data 2</td>
  </tr>
</table>
"""

# Initialize parser with your HTML
parser = TableParser(html_content)

# Parse all tables in the HTML
tables = parser.parse()

if tables:
    table = tables[0]
    
    # Export to Markdown (perfect for LLM context windows)
    print(table.to_markdown())
    
    # Export to JSON
    # print(table.to_json())
    
    # Export to CSV
    # print(table.to_csv())

Command Line

The package installs a table2md command that reads from a file, a URL, or stdin:

# From a file
table2md page.html

# From a URL
table2md https://example.com/page.html

# From stdin (pipe or '-')
curl -s https://example.com/page.html | table2md
cat page.html | table2md - --format json

Options:

Option	Description
--format, -f	Output format: markdown (default), json, csv
--strategy, -s	Rowspan fill strategy: fill_dito (default), repeat, empty
--dito-prefix	Prefix used by the fill_dito strategy
--table, -t	Extract only the table with this index (0-based)
--output, -o	Write to a file instead of stdout; with CSV and multiple tables, writes name_1.csv, name_2.csv, …
--no-links / --no-bold / --no-italic	Strip the respective inline formatting
--parser	BeautifulSoup backend (lxml default, or html.parser)

Features

• HTML parsing via BeautifulSoup
• Recursive inline-tag formatting (keeps links, bold, and italic tags alive even if nested in divs)
• Complex rowspan and colspan grid resolution (using flexible strategies like filling cells with "dito" to preserve context for LLMs)
• Clean Markdown export
• Data Exports: JSON and CSV serialization from the ParsedTable object
• CLI: table2md command with file/URL/stdin input and Markdown/JSON/CSV output
• AI Integrations: Includes a ready-to-use LangChain Document Loader
• Robust against broken real-world HTML: invalid colspan/rowspan values, HTML comments, and oversized spans are handled gracefully

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.

Blog-Posts:

** Read the 1. blog:** How to Stop LLMs from Hallucinating on Complex HTML Tables ** Read the 2. blog:** How to Stop LLMs from Hallucinating on Complex HTML Tables