Does it support TypeScript?

Yes, the reference architecture, type definitions, and implementation examples are optimized for TypeScript environments.

Does it include error handling patterns?

Yes, the skill provides templates for custom error boundaries and resilient error transformation specifically tailored for scraping and network-intensive workflows.

Can I use this for existing projects?

Absolutely; the skill is designed for both starting new projects and reviewing or refactoring current structures to align with enterprise standards.

How does this skill improve my web scraping code?

It enforces a layered architecture that separates concerns between the API, service logic, and the FireCrawl client, leading to more maintainable and scalable codebases.

What is the FireCrawl Reference Architecture skill?

It is a specialized guide for Claude that helps developers implement best-practice project structures and architectural patterns for FireCrawl-based integrations.

FireCrawl Reference Architecture

Name: FireCrawl Reference Architecture
Author: Brmbobo

byBrmbobo

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Web Scraping & Data Collection

Implements production-ready architectural patterns and structured project layouts for FireCrawl web scraping integrations.

This skill provides a standardized framework for building robust FireCrawl-powered applications, emphasizing a layered architecture that separates business logic from infrastructure. It guides developers through setting up singleton client wrappers with integrated caching, implementing custom error boundaries for resilient scraping, and configuring health checks to monitor connectivity. By establishing these best practices early, it ensures that web crawling implementations are scalable, maintainable, and ready for production-grade environments.

Key Features

01Automated health check implementations for real-time connectivity monitoring

02Environment-specific configuration management and data flow patterns

030 GitHub stars

04Standardized layered project structure (API, Service, and Infrastructure layers)

05Singleton client wrapper with built-in caching and monitoring logic

06Custom error handling and recovery boundaries for resilient scraping tasks

Use Cases

01Architecting a new SaaS application that relies on web data extraction

02Establishing team-wide standards for web scraping and data collection projects

03Refactoring existing FireCrawl code into a maintainable enterprise-grade structure

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast firecrawl-reference-architecture

For use in Claude.ai and ChatGPT

Download Skill