competitor-profiling

Name: competitor-profiling
Availability: InStock
Author: cengo33

Scrape competitor websites and integrate SEO data for competitive analysis.

1|Updated May 16, 2026

Search Tags:#competitive intelligence #market analysis #competitor analysis #site scraping #SEO data

Ready to run

npx skills add https://github.com/cengo33/hal-piyasa --skill competitor-profiling-cengo33

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: competitor-profiling
Source: https://github.com/cengo33/hal-piyasa/tree/main/_skills/competitor-profiling
Command: npx skills add https://github.com/cengo33/hal-piyasa --skill competitor-profiling-cengo33

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires firecrawl, dataforseo, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the need for in-depth competitor analysis by combining live site scraping with SEO data, providing a comprehensive profile of competitors from their URLs.

Core Features & Use Cases

Competitive Analysis: Research, profile, and analyze competitors from their URLs.
Data Extraction: Scrape competitor websites for key information like features, pricing, customers, and reviews.
SEO Intelligence: Gather competitive SEO data to understand market positioning and keyword strategy.
Use Case: For businesses looking to understand their competitors' strengths and weaknesses, identify market gaps, and develop competitive strategies.

Quick Start

Use the 'competitor-profiling' skill to profile competitors and generate comprehensive profiles.

Frequently Asked Questions about competitor-profiling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate competitor profiling with live website scraping and SEO data?▼

You can automate competitor profiling by inputting competitor URLs to scrape site content and extract SEO metrics. This process gathers features, pricing, and keyword strategy data to generate a comprehensive competitor profile.

Can I use Firecrawl and DataForSEO to extract competitor pricing and features from URLs?▼

Yes, you can use Firecrawl to map and scrape competitor websites for key information like pricing and features, while DataForSEO integrates competitive SEO metrics to understand market positioning and keyword strategy.

What's the best way to analyze competitor market positioning and keyword strategy?▼

The best way to analyze competitor market positioning is by combining live site scraping with SEO data extraction. This approach reveals competitor strengths, weaknesses, and market gaps to inform your competitive strategies.

Do I need Python to run competitive analysis and scrape competitor websites?▼

Yes, you need Python to process the competitive analysis workflow. The profiling automation relies on Python to execute scripts that scrape websites via Firecrawl and integrate SEO data via DataForSEO.

Does competitor website scraping work for identifying market gaps and competitive strategies?▼

Yes, competitor website scraping works for identifying market gaps by extracting key information like features, pricing, and customer reviews. Integrating SEO data further highlights competitive strategies and positioning weaknesses.

What are the limitations of using automated site scraping for competitive intelligence?▼

Automated site scraping for competitive intelligence relies entirely on Firecrawl and DataForSEO availability, meaning it cannot profile competitors if their websites block scraping or if required SEO data APIs are inaccessible.