Enhanced web scraping with BeautifulSoup

• Day: 2023-03-08
• Time: 19:10 to 19:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Web Scraping, Beautifulsoup, Python, Html Parsing, Data Extraction

Description

Session Goal

The session aimed to update and enhance a web scraping script using BeautifulSoup to improve data extraction from HTML pages.

Key Activities

• Updated CSS selectors in the BeautifulSoup code to replace :contains with :-soup-contains, avoiding warnings.
• Developed a Python function to scrape researcher and graduate student names into a pandas DataFrame.
• Corrected a misspelled header tag in the web scraping function to ensure accurate data extraction.
• Addressed encoding issues by specifying character encoding manually in BeautifulSoup.
• Provided guidance on the correct URL for the Image Processing and Computer Vision Group’s webpage.
• Suggested HTML code corrections to resolve search failures in BeautifulSoup.

Achievements

• Successfully updated and corrected the web scraping script, enhancing its functionality and accuracy.
• Resolved encoding issues and improved data extraction reliability.

Pending Tasks

• Further testing of the updated web scraping function with different HTML pages to ensure robustness.
• Exploration of additional BeautifulSoup features for more complex data extraction scenarios.

Evidence

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• event_ids: []