Enhanced Article Scraping and Data Enrichment

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Enhanced Article Scraping and Data Enrichment

  • Day: 2025-06-12
  • Time: 05:10 to 05:40
  • Project: Media
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Scraping, Automation, Python, Data Processing, Content Strategy

Description

Session Goal

The session aimed to refine and enhance the article scraping logic and data enrichment processes by integrating improvements into the existing pipeline.

Key Activities

  • Refinement Proposal: Reviewed and proposed enhancements to the article scraping logic using a post-PromptFlow dataset, updating the main scraper script.
  • Script Extension: Proposed an extension to explode_pf_outputs.py to merge data from master_ref.[[csv]] and scraped_links.jsonl, generating an enriched CSV articles_to_scrape.[[csv]].
  • Scraper Adaptation: Adapted the scraper script for articles from a JSONL file, using index_id as the primary key and incorporating functionalities to load scraped IDs and filter articles by date and time.
  • Scraper Modification: Modified the main() method and CLI to process the entire file without date or time filters, using index_id to avoid duplicates.
  • Index ID Reinforcement: Finalized the use of index_id as the sole identifier for processed articles, ensuring idempotency with a new load_scraped_ids() function.
  • Pipeline Review: Conducted a review of the scraping pipeline, suggesting improvements and assessing its robustness and modularity.
  • News Intelligence System Status: Detailed progress and components for a semi-autonomous content generation and curation system.
  • Content Generation Strategy: Outlined a workflow for transforming seed ideas into strategic content and drafts using automation.

Achievements

  • Finalized a robust and modular article scraping process with enhanced data enrichment capabilities.
  • Established a clear strategy for content generation and news intelligence system development.

Pending Tasks

  • Implement the proposed improvements and extensions in the live environment.
  • Continue developing the semi-autonomous content generation system to achieve full autonomy.

Evidence

  • source_file=2025-06-12.sessions.jsonl, line_number=0, event_count=0, session_id=8ba0cf9e87b1afb4a23f83bb860355d1d34961fa11ea904e8c3e8e992a52d23c
  • event_ids: []

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