Developed and Debugged Web Scraping Scripts

• Day: 2023-04-16
• Time: 19:35 to 20:15
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Web Scraping, Beautifulsoup, Debugging, Automation

Description

Session Goal:

The session aimed to develop and debug Python scripts for web scraping news articles and extracting relevant data such as station names, URLs, and HTML structures.

Key Activities:

• Addressed GitHub push authentication issues by troubleshooting Git credential setups and command formatting.
• Explored automation techniques for keyword search in news articles using web scraping, NLP, and machine learning.
• Developed Python scripts utilizing BeautifulSoup and Pandas to scrape news sources and extract data into DataFrames.
• Debugged web scraping scripts to fix errors in logo extraction and HTML parsing by checking for specific tags before data extraction.
• Implemented regular expressions to extract domain names from URLs and modified them to exclude prefixes.
• Provided insights into regular expressions, focusing on capturing and non-capturing groups.
• Discussed ethical considerations in web crawling and provided example code for using Scrapy and BeautifulSoup.
• Updated scripts to enhance HTML structure extraction and readability.

Achievements:

• Successfully developed and debugged multiple web scraping scripts.
• Improved understanding of regular expressions and ethical web scraping practices.

Pending Tasks:

• Further exploration of machine learning techniques for keyword automation.
• Continuous improvement of web scraping scripts for efficiency and accuracy.

Evidence

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• event_ids: []