scraper-layer
OfficialOrchestrate scalable signal scraping
AuthorSMOrchestra-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The Scraper Layer provides the architectural foundation for collecting, normalizing, and routing external market signals into the GTM nervous system. It coordinates multiple scraping tools (Apify, Firecrawl, Playwright, LinkedHelper) and the n8n workflow engine to produce structured SignalEvent records for downstream analysis and action.
Core Features & Use Cases
- Orchestrates cross-tool scraping workflows (Apify, Firecrawl, Playwright, LinkedHelper) to generate normalized signals.
- Normalizes raw content into the SignalEvent schema for consistent ingestion into Supabase and Redis.
- Supports deterministic task execution, error handling, and guardrails (retry, rate limiting, dedup, timeouts).
- Use cases include competitor monitoring, market intelligence, pricing tracking, and tech stack discovery across web sources.
Quick Start
Set up and run the Scraper Layer workflow to ingest signals from configured sources into the GTM nervous system.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scraper-layer Download link: https://github.com/SMOrchestra-ai/smorch-dist/archive/main.zip#scraper-layer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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