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Data Extractor

Data Extractor

@lijie420461340
developmentDocument ParsingData ExtractionMulti-format Processing

Extract structured data from any document format (PDF, Word, Excel, Email, HTML, Images) using the unstructured library. Automatically detect document type and parse content with consistent, structured output including metadata, tables, text, and elements.

🚀 Extract structured data from any document format—PDFs, Word docs, emails, HTML, and more. This skill automatically detects your file type and pulls out text, tables, metadata, and elements with consistent, organized output. No manual formatting needed.

💡 Perfect for processing mixed-format documents, parsing emails with attachments, converting PDFs to structured data, or building document pipelines. Works with native PDFs, scanned images, spreadsheets, and presentations all in one go.

✨ Get intelligent element classification (titles, tables, lists), rich metadata preservation, and support for OCR on images—all with a single unified interface.

GitHub

Requirements

unstructured

Python library for processing and extracting structured data from documents