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name: firecrawl-reference-architecture description: >- Design a production Firecrawl v2 ingestion system with policy gateway, bounded acquisition, validation, provenance, storage, indexing, observability, and deletion. Use when building a reusable platform. Trigger with "Firecrawl reference architecture", "Firecrawl ingestion system", or "Firecrawl RAG pipeline". allowed-tools: Read,Glob,Grep,Write,Edit argument-hint: " " version: 1.12.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags: [saas, firecrawl, architecture, ingestion] model: inherit effort: high compatibility: "Designed for Claude Code; Firecrawl Cloud work requires network access"

Firecrawl Governed Ingestion Architecture

Overview

Create explicit trust boundaries from request intake through deletion. Keep source discovery, content retrieval, validation, and downstream publication independently retryable and auditable.

Prerequisites

• The target repository or integration path and the requested operator outcome.
• The source authorization, data classification, and environment policy.
• Current Firecrawl documentation, credentials only when needed, and an owner for approvals.

Current Contract

Firecrawl v2 provides scrape, crawl, map, search, batch scrape, parse, JSON extraction, agentic, and browser surfaces with different async, credit, retention, and availability contracts. The SDK can auto-wait and paginate, while explicit start/status methods support durable orchestration. Provider webhooks supplement but do not replace reconciliation.

Authentication

For authenticated Cloud operations, inject FIRECRAWL_API_KEY from an approved secret manager. REST requests use Authorization: Bearer with the key. Never print, commit, transmit, or place a key in a URL. Keyless access is suitable only where the current documentation explicitly allows it and the workload accepts its limits; production workflows should make identity and team ownership explicit.

Instructions

1. Define tenants, source authorization, freshness, scale, formats, data classification, SLO/RPO/RTO, retention, deletion, and cost constraints.
2. Place authentication, tenant isolation, URL canonicalization, policy versioning, endpoint/format allowlists, budgets, and idempotency at the intake gateway.
3. Separate discovery into map/search, retrieval into scrape/batch/crawl/parse, and model extraction into a validated stage. Use durable job records for asynchronous work.
4. Persist normalized provenance and job/page state before downstream writes. Complete pagination and deduplicate by tenant, canonical source, version, and content hash.
5. Run schema, origin-status, content-quality, malware/active-content, and prompt-injection gates before storage or agent context.
6. Use an outbox or equivalent for indexing and publication; make retries idempotent and support tombstones across raw, normalized, embedding, cache, and search stores.
7. Observe queue, job, origin, validation, freshness, spend, webhook, and deletion SLIs; test restore, reconciliation, cancellation, and regional/provider failure.

Tool Discipline

Use Read, Glob, and Grep to inspect code, configuration, tests, and evidence. Use Write/Edit only for approved implementation or documentation changes. Do not call Firecrawl, rotate keys, change account settings, scrape a target, or deploy merely because this skill was invoked.

Approval Boundaries

Require architecture and security/data approval before adding a new endpoint class, authenticated source, model extraction, long-term store, cross-region flow, or self-hosted provider.

Output

Return components and trust boundaries, sequence and state model, contracts, capacity and cost assumptions, security/privacy controls, failure and reconciliation paths, SLOs, tests, and phased rollout.

Error Handling

• A stage lacks durable identity or idempotency: block asynchronous rollout.
• Provider completion and stored counts diverge: reconcile pagination and downstream receipts before publication.
• Deletion cannot propagate to derived stores: fail the data architecture review.

Examples

• "Build a docs RAG pipeline" produces policy, acquisition, validation, outbox, index, and deletion stages.
• "Call crawl directly from the browser" is replaced with a server-side governed gateway.

Resources

Read official Firecrawl evidence before relying on an endpoint, SDK method, plan limit, price, retention option, or self-hosted release.