Automated Competitive Intelligence Pipeline
Automated Competitive Intelligence Pipeline
Python pipeline using Apify and pandas to scrape and analyze 1,200+ active competitor Meta ads — surfacing creative patterns and platform signals for executive strategy.
Python pipeline using Apify and pandas to scrape and analyze 1,200+ active competitor Meta ads — surfacing creative patterns and platform signals for executive strategy.
Category
Personal
Skills
Python, Apify API, Pandas, Meta Ads Library
Company
Metagenics
Year
2026
Category
Personal
Skills
Python, Apify API, Pandas, Meta Ads Library
Company
Metagenics
Year
2026

Overview
Built an automated competitive intelligence pipeline using Apify API, Python, and pandas to scrape Facebook Ads Library data from leading supplement brands and structure it into actionable executive reports.
How It Works
The pipeline collects raw ad data at scale and processes it into clean structured outputs — surfacing creative velocity, messaging angles, placement mix, influencer partnerships, and Advantage+ adoption signals across competing brands. Reports are generated automatically and delivered in an executive-ready format.
Impact
Analyzed 1,200+ active competitor ads from Facebook Ads Library
Surfaced creative velocity, messaging strategy, and platform investment signals
Delivered board-level competitive intelligence to executive leadership
Directly informed Meta investment strategy and creative differentiation




