data-extractor

What This Skill Does

The data-extractor skill for OpenClaw is a powerful utility designed to bridge the gap between unstructured file formats and actionable data. Utilizing the robust 'unstructured' library, this skill automatically detects file types and converts them into a standardized, machine-readable format. Whether you are dealing with complex multi-page PDFs, Excel spreadsheets containing tables, or standard HTML web pages, this agent interprets the underlying structure to isolate text, metadata, tables, and images. It effectively normalizes the chaotic nature of diverse documents, providing a consistent API for downstream analysis.

Installation

You can integrate this skill into your local OpenClaw environment by running the following command in your terminal:

clawhub install openclaw/skills/skills/lijie420461340/data-extractor

Ensure that you have the necessary dependencies configured to allow the underlying unstructured library to perform high-resolution OCR tasks if you intend to process scanned images or image-heavy PDFs.

Use Cases

This skill is indispensable for data-heavy workflows. Use it to:

• Automate invoice data extraction: Extract line items from vendor PDFs directly into accounting software.
• Academic research: Parse large volumes of research papers to pull specific tables or citations.
• Content migration: Scrape legacy HTML content or Word documents into a structured database format.
• Email workflow automation: Automatically extract body text and attachment metadata from support or sales inquiries.

Example Prompts

1. "Please scan this invoice PDF and extract the total amount, date, and vendor name into a JSON format."
2. "Read the attached annual report document and summarize all tables into a CSV file for my research."
3. "Process this batch of email exports and tell me who the top three senders are based on the metadata."

Tips & Limitations

To get the best results, specify your processing strategy (e.g., 'hi_res' for complex documents or 'fast' for simple text). Note that memory consumption can be high when processing massive PDF documents with many images. Always ensure that the files you provide are accessible by the agent. For highly distorted images, consider pre-processing or ensuring high-quality scans to improve OCR accuracy.