clean_html_mapper

To extract plain text from HTML content, this Skill removes all HTML tags and formatting. It converts HTML documents into pure text, making the extracted content suitable for data analysis and text summarization.

HTML to text conversion handles list formatting by converting list items from HTML into an asterisk list format. This ensures that structured lists remain readable and organized in the final plain text output.

Yes, you need py-data-juicer to clean HTML files. This Skill requires the py-data-juicer dependency for parsing and cleaning HTML content to successfully extract plain text.

The best way to convert HTML documents for data processing is to remove all tags and formatting to produce pure text. This approach ensures clean text extraction, which is ideal for downstream data analysis tasks.

To run the clean_html_mapper script for text extraction, execute it with an input file like 'example_input.json' and direct the output to 'output.json'. This processes the HTML content and saves the cleaned plain text.