📅 2025-02-17 — Session: Optimized Email Metadata Extraction and Analysis
🕒 12:50–13:50
🏷️ Labels: Email Metadata, Python, Spider Api, Web Crawling, Data Analysis
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to optimize and document the process of extracting and analyzing email metadata from MBOX files, and to explore thematic web crawling using the Spider API.
Key Activities
- Developed a modular Python pipeline for extracting, analyzing, and storing email metadata, including graph analysis and insights generation.
- Summarized achievements in email metadata extraction and network analysis, detailing data processing, graph construction, and insights generated.
- Provided a comprehensive guide on using the Spider API for thematic crawling, focusing on gathering information about institutions.
- Implemented a Python script to extract unique domains using the Spider API.
- Debugged a 400 Client Error in the Spider API, providing a corrected code example.
- Conducted a crawling analysis of the ICC website, summarizing site structure and academic achievements.
Achievements
- Successfully optimized the email metadata extraction pipeline.
- Completed network analysis and generated insights.
- Documented processes for thematic web crawling using the Spider API.
Pending Tasks
- Further automation of email metadata analysis.
- Expand thematic crawling to additional domains and refine error handling in the Spider API.