Enhanced Article Scraping and Data Enrichment

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📅 2025-06-12 — Session: Enhanced Article Scraping and Data Enrichment

🕒 05:10–05:40
🏷️ Labels: Scraping, Automation, Python, Data Processing, Content Strategy
📂 Project: Media
⭐ Priority: MEDIUM

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.

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