Developed Techniques for JSON Data Extraction

  • Day: 2023-10-22
  • Time: 01:00 to 01:25
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: JSON, Web Scraping, Python, Javascript, Beautifulsoup

Description

Session Goal

The session aimed to explore and develop methods for extracting JSON data from HTML and JavaScript sources using Python and JavaScript.

Key Activities

  • Explored methods to extract JSON data from HTML <script> tags using Python and BeautifulSoup.
  • Investigated techniques for parsing JSON data embedded in JavaScript variables, specifically window.__PRELOADED_STATE__.
  • Addressed error handling strategies for truncated JSON content and corrected library import oversights.
  • Implemented regular expressions to extract JSON when it is not located in expected script tags.
  • Developed a Python script to scrape product metadata from HTML using BeautifulSoup, focusing on extracting title, description, image URL, and product URL.

Achievements

  • Successfully extracted JSON data from both HTML and JavaScript sources.
  • Corrected errors related to library imports and variable loss in JavaScript.
  • Enhanced understanding of error handling in JSON processing.

Pending Tasks

  • Further refine regular expression patterns for more robust JSON data extraction.
  • Explore additional error handling techniques for incomplete JSON data.

Evidence

  • source_file=2023-10-22.sessions.jsonl, line_number=2, event_count=0, session_id=4a04f570cee6f4bcbd49541f8dfef4fc27ae3d2c22756f320f10b061c5c8c218
  • event_ids: []