Refactored HTML contact extraction with Python

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Refactored HTML contact extraction with Python

  • Day: 2025-01-16
  • Time: 17:30 to 18:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, Beautifulsoup, Data Extraction, HTML, JSON

Description

Session Goal

The goal of this session was to refine and debug a Python script for extracting contact information from HTML files using BeautifulSoup, and to save the extracted data in both CSV and JSON formats.

Key Activities

  • Developed a Python script using BeautifulSoup to extract contact information from styled HTML files.
  • Debugged the script to improve accuracy in data extraction, specifically addressing issues with text matching and formatting.
  • Implemented strategies for parsing HTML tables and extracting field names and values.
  • Outlined a workflow for saving extracted data in JSON format, ensuring data cleanliness and file size efficiency.

Achievements

  • Successfully extracted structured data from HTML elements and saved it in CSV and JSON formats.
  • Improved the script’s accuracy in parsing and extracting contact information.
  • Developed a strategy for verifying field mapping and enhancing data usability.

Pending Tasks

  • Verify the field mapping for JSON output to ensure accuracy.
  • Enhance the usability of the JSON output for downstream processes.

Evidence

  • source_file=2025-01-16.sessions.jsonl, line_number=0, event_count=0, session_id=d8d20d183c59babfbd9e467e61d235088f229236a541ffee44f151f943c33520
  • event_ids: []

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