Competitive Ads Extractor

Overview

Scrape and analyze competitor ads to identify working messaging, creative patterns, and campaign strategies.

Keywords: competitor ads, ad library, facebook ads, linkedin ads, tiktok ads, messaging analysis, creative research, ad copy, campaign strategy, competitive intelligence

Process

1. Identify target brand/industry
2. Check references/competitors/[brand].md or references/industries/[industry].md
3. Access relevant ad libraries
4. Extract ads + screenshots
5. Analyze using framework below
6. Output to ~/competitor-ads/[brand]/

Ad Library Sources

Platform	URL	Access
Facebook/Instagram	facebook.com/ads/library	Public
LinkedIn	linkedin.com/ad-library	Requires login
TikTok	ads.tiktok.com/business/creativecenter	Public
Google	adstransparency.google.com	Public

Analysis Framework

Messaging

Dimension	Extract
Problems	Pain points, frustrations addressed
Use cases	Target scenarios, jobs-to-be-done
Value props	Benefits, outcomes promised
Positioning	vs. alternatives, unique angles
Social proof	Numbers, logos, testimonials

Creative

Dimension	Extract
Format	Static, video, carousel, GIF
Visual style	Colors, imagery, layout
Pattern	Before/after, demo, testimonial
Branding	Logo placement, brand colors
Length	Video duration, copy length

Copy

Element	Note
Headline	Hook, length, structure
Body	Tone, specificity, proof
CTA	Action, urgency, offer

Output Structure

~/competitor-ads/[brand]/
├── screenshots/           # All ad images
├── videos/               # Video ads
├── analysis.md           # Full analysis report
├── top-performers/       # Best ads subset
├── raw-data.csv          # Structured data
└── patterns.md           # Identified patterns

Analysis Report Template

# [Brand] Ad Analysis

## Overview
- Total ads: X active
- Platforms: [list]
- Date extracted: YYYY-MM-DD

## Top Problems Highlighted
1. [Problem] (X ads) — "[Example copy]"
2. ...

## Creative Patterns
1. [Pattern name] — [Description], used in X ads

## Copy Patterns
- Headlines: [Pattern]
- CTAs: [Common CTAs]
- Length: [Avg characters]

## Audience Segments
- [Segment]: [Messaging angle]

## Recommendations
1. [Actionable insight]

References

• references/competitors/ — Known competitor profiles and history
• references/industries/ — Industry-specific patterns and benchmarks
• references/platforms/ — Platform-specific extraction methods