README.md

metadata

title: Web_page_data_html
app_file: app.py
sdk: gradio
sdk_version: 5.47.2

Web Company Data Extractor

Overview

This Hugging Face demo extracts basic company-related information from unstructured web pages. You enter a URL, and the app:

1. Downloads the HTML
2. Parses visible text
3. Extracts useful company data indicators:
   • Emails
   • Phone numbers
   • Possible addresses
   • Social media profile links
   • Page title (as a company name guess)

The output includes:

• Truncated raw text extracted from the page
• A structured JSON-like summary of detected signals

This is a rule-based prototype for demonstration purposes. It does not replace professional-grade web data extraction or parsing libraries.

Project Purpose

This app demonstrates how unstructured web pages can be converted into structured company data. It is useful for illustrating:

• Web data extraction
• Text parsing and cleaning
• Company signal detection
• Lightweight company data enrichment
• A pattern for how ZoomInfo might bootstrap new data fields

Files Included

• app.py – The main Gradio application
• requirements.txt
• README.txt – This file

How to Use

1. Enter a URL (e.g. https://www.microsoft.com)
2. Click "Extract Company Data"
3. Inspect:
   • Cleaned visible text (truncated)
   • The structured output fields

Technical Notes

Uses:

• requests – to fetch HTML
• beautifulsoup4 – to parse DOM and extract visible text
• regex patterns – for emails, phone numbers, and simple address detection
• gradio – for UI

Outputs are plain Python dictionaries and strings to avoid serialization issues.

Running Locally

pip install -r requirements.txt
python app.py

The app will run locally on a Gradio-generated URL.

Limitations

This is not a complete production parser. It does not handle:

• JavaScript-rendered pages
• International address formats
• Advanced company name extraction
• Pagination or crawling
• Rate limiting or proxy management

However, it demonstrates the core concept: turning unstructured web data into structured company data signals.