Which platforms does the Competitive Ads Extractor support?

Currently, the skill is designed to extract data from major platforms including the Facebook Ad Library and LinkedIn, with capabilities to interface with other public ad repositories.

Does this skill capture the visual elements of the ads?

Yes, the skill automatically takes and saves screenshots of the ads it finds, allowing you to review the creative layout, branding, and visual strategy of your competitors.

How does the skill analyze the effectiveness of an ad?

It identifies patterns in messaging frequency, call-to-action styles, and problem-solution framing to highlight which approaches are most likely resonating with the target audience based on their prevalence.

Is this tool compliant with ad platform terms?

This skill is intended for research and inspiration using publicly available data from official transparency libraries; users should always respect intellectual property and adhere to platform-specific usage guidelines.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: EricGrill

byEricGrill

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Automatización de Marketing

Extracts and analyzes competitor advertising data from social media ad libraries to optimize marketing strategies and creative messaging.

Acerca de

The Competitive Ads Extractor skill empowers marketers and developers to conduct deep competitive research by automatically scraping ad data from platforms like Facebook Ad Library and LinkedIn. It captures visual screenshots, analyzes messaging themes, and identifies high-performing creative patterns to help teams understand market positioning and improve their own ad campaigns. By transforming raw ad data into actionable insights—including problem-solution frameworks and successful call-to-action patterns—it streamlines the research phase of campaign planning and creative development.

Características Principales

Visual screenshot capture of active competitor ads
Detailed reporting on competitor positioning and audience targeting
2 GitHub stars
Automated scraping from Facebook and LinkedIn Ad Libraries
AI-driven messaging and pain point analysis
Pattern recognition for successful creative and copy styles

Casos de Uso

Building a reference library of successful creative patterns for design teams
Researching competitor ad strategies and messaging before a product launch
Identifying gaps in the market by analyzing common competitor pain points

Acerca de

Características Principales

Visual screenshot capture of active competitor ads
Detailed reporting on competitor positioning and audience targeting
2 GitHub stars
Automated scraping from Facebook and LinkedIn Ad Libraries
AI-driven messaging and pain point analysis
Pattern recognition for successful creative and copy styles

Casos de Uso

Building a reference library of successful creative patterns for design teams
Researching competitor ad strategies and messaging before a product launch
Identifying gaps in the market by analyzing common competitor pain points