Optimized Web Scraping and Project Structuring

2 min read

Optimized Web Scraping and Project Structuring

  • Day: 2024-08-28
  • Time: 20:15 to 20:50
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Web Scraping, Directory Structure, Scrapy, Postgresql, Debugging

Description

Session Goal

The session aimed to optimize web scraping processes for time-series data collection and to plan and implement a structured directory for a web scraping project.

Key Activities

  • Web Scraping Optimization: Discussed strategies for enhancing web scraping efficiency, focusing on time-series data from specific stores. This included filtering, storage, automation, and post-processing techniques.
  • Directory Structure Planning: Proposed a directory structure for the ‘preciosclaros’ project, ensuring integration with time-series databases like TimescaleDB and InfluxDB.
  • Project Structuring: Outlined a reorganized directory structure for a crawler project to improve clarity and scalability, particularly with PostgreSQL integration.
  • Database Management: Developed SQL scripts for PostgreSQL database initialization, migration, and backup using cron jobs.
  • Code Review and Testing: Created a checklist for reviewing crawler code compatibility with the new directory structure and tested the functionality of the Scrapy crawler.
  • Troubleshooting: Addressed issues related to Scrapy project recognition and module import errors, providing solutions for configuration and environment adjustments.
  • Debugging: Utilized ipdb for debugging Scrapy spiders, focusing on variable examination and execution flow.

Achievements

  • Established a comprehensive directory structure and database management plan.
  • Enhanced web scraping processes with optimized strategies.
  • Successfully tested and debugged the Scrapy crawler.

Pending Tasks

  • Finalize the file path confirmation for accurate data loading.
  • Continue refining the directory structure and database integration.

Evidence

  • source_file=2024-08-28.sessions.jsonl, line_number=4, event_count=0, session_id=156cc7fa4103140e4387cbf1a82ae7b65b28fde723f99487e2c9da94a944dd10
  • event_ids: []

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