Firecrawl vs Temporal

Firecrawl

Temporal

Firecrawl · 16 features

• Batch Scrape — Scrape many URLs in parallel.
• Crawl — Crawl an entire site following links. Returns all pages.
• Custom Headers/Cookies — Scrape behind login via headers.
• Deep Research (beta) — AI agent that autonomously researches a query across many sites.
• Extract (AI) — Structured extraction with a JSON schema → Firecrawl runs LLM for you.
• JavaScript Rendering — Headless browser handles SPAs, React/Vue sites.
• LLM-Ready Markdown — Cleaned + normalized Markdown optimized for LLM ingestion.
• Map — Fast — returns all URLs on a site without fetching content.
• MCP Server — Official MCP for Claude / Cursor / Agents.
• Open Source (AGPL) — Self-host the entire stack via Docker.
• PDF Parsing — Extract text from PDFs.
• Residential Proxies — Bypass anti-bot + geoblocks (paid).
• Scrape — Single URL → clean markdown/JSON/HTML.
• Screenshots — Visual screenshot alongside content.
• Search (beta) — Google-like search API returning results + content.
• Structured Output — Extract to JSON schema via LLM.

Temporal · 16 features

• Activities — Retryable units of work.
• Activity Retries — Declarative retry policies.
• Child Workflows — Nested workflow composition.
• Continue-As-New — Close + restart workflow to prune history.
• Nexus (cross-namespace) — Call workflows across namespaces/teams.
• Queries — Synchronous read of workflow state.
• Saga / Compensations — Rollback pattern via compensating activities.
• Schedules — Cron-like recurring workflows.
• Self-Host — Deploy cluster on your infra.
• Signals — Async messages into a running workflow.
• Timers — Durable sleeps — hours, days, months.
• Update — Synchronous RPC into workflow with validation.
• Visibility + Search Attrs — Query workflow state via Elasticsearch/native store.
• Web UI — Inspect workflow history, events, stack.
• Workflows — Durable, replayable, long-running functions.
• Workflow Versioning — Patch workflow code without breaking in-flight runs.