Systems
LabCompetitor research

Facebook Ads Competitor Scanner

Scans Meta's ad library across my niches and turns it into something I can actually read on a Monday. 1,113 ads, 209 pages, 24 deep teardowns to date.

Hunting Meta's ad library by hand is a great way to lose two hours and learn nothing. The scanner does the boring part so I can spend the time on the strategy part.
Related niche systems
System Card
categoryAd intelligence
statusLab
page/facebook-ads-competitor-scanner
AI avatar summary

Why Facebook Ads Competitor Scanner exists.

What Facebook Ads Competitor Scanner replaced, and what it does for me now. The internal dashboards stay private, so this is the public version of it.

Here's a summary of this page by my AI Avatar

Public version

Competitor ad scan

01

Ad Library scan

02

Offer and landing-page extraction

03

Longest-running creative signals

04

Pattern notes for new tests

The scanner's public proof is aggregate scale and pattern extraction, not private account output.
What it proves

Competitor ad research gets organized into market patterns that can feed actual creative strategy.

Problem

Manual Meta Ad Library research is slow, noisy, and hard to reuse.

1

What it does

Collects active ads from competitor pages. Pulls offer language and landing pages. Groups by format. Flags what's been running longest, which is a decent proxy for 'is it working.'

2

How I actually use it

Mostly to stop reinventing wheels. If three competitors have run the same hook for 90 days, the hook works. If nobody is running a specific angle, that's interesting in the other direction. The scale is small relative to HG PPC's warehouse. But as a one-shot research tool, it earns its place.