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

Let's talk

Time for me:

Email:

hello@antoniodimas.com

Socials:

Reach out:

Designed

By

Anton Dimas

© Copyright 2026

Let's talk

Time for me:

Email:

hello@antoniodimas.com

Socials:

Reach out:

Designed

By

Anton Dimas

© Copyright 2026