📅 2025-05-25 — Session: Web Content Analysis and Processing
🕒 02:00–02:25
🏷️ Labels: Web Scraping, Data Processing, Python, Content Analysis, Text Cleaning
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim of this session was to analyze and process web content from various institutional pages, focusing on extracting and cleaning data for further use.
Key Activities
- Analyzed the ICC institutional page to identify key topics, navigation links, and named entities. Recommended post-processing steps for content normalization and structuring.
- Developed a Python function using regular expressions to remove URLs from text, cleaning crawled content effectively.
- Conducted a structured analysis of a page scrape from UBA Exactas, identifying key sections and potential actions for data processing.
- Addressed a logic issue in code for handling duplicate entries in document collections, suggesting the use of a dictionary for optimization.
- Created a unified Python function,
clean_spider_text
, to clean web-scraped markdown content by removing images, links, and standalone URLs. - Outlined a structured list of academic publications from ICC, including metadata fields and thematic insights.
- Detailed the structure and content of a news aggregation page for ICC, suggesting methods for data extraction and analysis.
Achievements
- Successfully implemented functions for cleaning and processing web-scraped content.
- Provided insights and structured analyses for institutional web pages.
Pending Tasks
- Further refine the data extraction methods for the ICC news aggregation page.
- Implement the recommended post-processing steps for ICC content normalization.