Enhanced Scrapy Spider and Inventory Strategies

2 min read

📅 2024-08-28 — Session: Enhanced Scrapy Spider and Inventory Strategies

🕒 22:40–23:55
🏷️ Labels: Scrapy, Web Scraping, Inventory Management, Python, Data Export
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the performance of a Scrapy spider for web scraping tasks and to explore strategic inventory management techniques for both personal and business applications.

Key Activities

  1. Data Cleaning: Implemented a Python function to iteratively remove outliers from a DataFrame using standard deviations.
  2. Web Scraping Optimization:
    • Reviewed a report on the spider’s scraping performance.
    • Optimized the Scrapy spider by reducing requests, implementing asynchronous processing, and optimizing data handling.
    • Set up a Scrapy spider to extract ProductoCategorizadoItem and modified the MultiCSVItemPipeline for categorized product output.
    • Debugged the spider to ensure proper processing and exporting of categorized items.
  3. Inventory Management:
    • Explored value investing principles in retail purchases by tracking prices and buying in bulk.
    • Discussed opportunistic purchasing and strategic stockpiling strategies.
    • Applied Economic Order Quantity (EOQ) and Just-In-Time (JIT) strategies for home inventory optimization.

Achievements

  • Successfully optimized the Scrapy spider for improved performance and data export capabilities.
  • Developed a comprehensive understanding of inventory management strategies that can be applied to both personal and business contexts.

Pending Tasks

  • Further testing and refinement of the Scrapy spider and inventory strategies to ensure robustness and efficiency.

Graph View

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