What problem does it solve? Manually monitoring competitor activity across blogs, LinkedIn, pricing pages, careers listings, G2 reviews, and press coverage is slow and inconsistent. This Skill automates the collection of public competitor data and returns structured, deduplicated artifacts with full provenance metadata for downstream analysis. ## Core Features & Use Cases - Six Source-Type Extractors: Parses blog posts, LinkedIn posts, pricing pages, careers listings, G2 reviews, and press mentions with purpose-built field schemas for each source. - Fingerprint-Based Deduplication: Computes SHA-256 fingerprints per artifact and discards duplicates against the artifact store so only net-new signals are emitted. - Provenance Metadata: Every artifact carries competitor_id, run_id, fingerprint, and scraped_at timestamps so downstream classifiers and gap-analysis agents can trace each signal to its origin. - Use Case: A competitive intelligence scheduler dispatches a weekly scan job for a competitor; the Skill fetches all six sources, extracts structured fields, deduplicates against prior runs, and returns only new artifacts plus error reports for failed sources. ## Quick Start Run the competitor-scraper with a job payload containing the competitor ID, source URL list, run ID, and last-scan timestamp to collect fresh competitor artifacts.