Scraping built for AI — hand it a URL and get clean markdown or structured JSON back, with an LLM doing the extraction.

Pick this when

You need page content in a shape a model can use, and you don't want to write or maintain selectors.

What makes it different

AI extraction: give it a prompt and a JSON schema and it returns structured fields, not HTML

Native n8n nodes with quick-connect, plus 100k free credits on the hobby plan

Open source — self-host it when the credits run out

What it does

Scrapes single pages (/scrape) and crawls sites, returning markdown and/or JSON

Extracts to a schema you define using a prompt

Offers proxy and stealth options for sites that resist

Runs as native nodes inside n8n with a credential connect flow

What it does not do

Common wrong expectations

Doesn't handle every hostile target — geo-blocked and heavily defended sites want a proxy provider like Bright Data

Doesn't stay free forever, though self-hosting is the escape hatch

Doesn't do the platform-specific structured feeds Apify specializes in

Where it sits in a stack

The ingestion end of any content workflow: scrape → structure → process with an agent → publish.

Shelf

Scraping & data sources

Our status · watch

The pipeline reads local files, not the web — but the LMS-facing fetch scripts are the same problem shape.

For your projects

If Outskill's LMS ever needs scraping for materials the API doesn't expose, this is the tool, and its schema-extraction mode maps neatly onto the manifest structure.

Freshness

current

Related tools

competes withApifycomplementsBright Datacomplementsn8n

apify: Apify for platform-specific scrapers (LinkedIn, Instagram); Firecrawl for general pages

bright-data: geo-proxies in front of it for ban-resistant scraping

n8n: native nodes; the BC4 newsletter workflow's front end

Every moment the course touched it (20)

SessionCoverageMomentWhat happened
Basecamp 3: Introduction to n8n — Idemonstrated0:54:14Crawl action node early; then native Firecrawl nodes in the Hacker News scraper with live credential connect
Basecamp 4: Introduction to n8n — IIdemonstrated0:47:14/scrape with JSON+markdown formats, AI-extraction prompt + schema, proxy/stealth options, n8n quick-connect (hobby plan + 100k free credits), self-hosting the open-source repo when credits end
Office Hours V: Paul's Compliance Scanner Meets Firecrawl, Painkillers vs Vitamins, What a Real Second Brain Costs, and Why Selling Got HarderdemonstratedLive scrape of apple.com; MCP + APIs; 1,000 free credits/month
Session 9: Introduction to Cursor & its principlesdemonstrated1:17:52Blog/site scraper MCP; auto-invoked by the agent to rescue the design extraction
Session 19: Content Strategy Pipeline — the YouTube Growth Stack, Built by an Agent Team of ChatsdemonstratedCloud key (1,000 free credits) for the demo; standing advice to self-host and never pay
Session 20: Complete LinkedIn Agency Automation — Carousels + Newsletter from One Content Systemdemonstratedv2 search across 10 themes, deduped + credibility-ranked; API route chosen over self-host for the demo
Session 21: Advanced Data Extraction from PDFs — Parsing, OCR, and the Token-Free ProductdemonstratedPDF Inspector + AnyDoc repos are the build's extraction spine; MIT licensing the deciding factor
Session 23: Automating AEO/GEO — Audits, the File Layer, and Evidence-Led AI SearchdemonstratedThe crawler for the external audit tool; scope = the front-end surface engines see
AI Sprint: The Hermes Agent — Day 1 (Always-On Agents, the Employee-on-Day-One System, and the Self-Improving Ghostwriter)demonstratedPre-scraped outskill.com brand page reused to feed the color scheme when screenshots overflowed the image API
Understanding Jev, the AI Built for Decisions (Sprint Day 2): Two Second-Brain Systems - a Leadership Self-Review Built Problem-First, and a Tag-Classifying Knowledge Base Where a Cheap Decision Model Replaces a Chat Modeldemonstrated
AI Sprint: OpenClaw — Session 2 (Token Anatomy, Claude Code Inside the Server, Skills, and Multi-Agent Workspaces)demonstratedThe live skill install: proposal → approval → skill.md + Python script + .env key wiring
AI Sprint: The Open Source Playbook — Day 1 (Licenses, Open Weights, and Why Open Isn't Free)demonstratedScrape-with-branding-format as the brand-capture step
Office Hours II: When to Pay for Vercel, Scraping Public Data for Paul's Gold-Pressure App, Audits as a Sales Hook, and Why Distribution Beats BuildingexplainedRecommended for Paul's public-data scraping
Mentor Session XV: Selling Beats Building - Paul's Referral-Network Platform, Phone-Book Outbound, Give-First Communities, One Use Case Not a Hundred, and 'Know Thyself'explained0:41:00One-thing MCP as the trust example
Build Reliable AI Apps Using LangGraph: The Travel Agent That Changes Its Mind — State, Nodes, Cycles, Interrupts, and Why the Vocabulary Is the SkillmentionedNamed as the live-data source to add after the mock stage, for scraping flight and hotel information.
Session 6: Building an AI-Powered Lead Gen Machinementioned1:31:37Cohort's answer to 'what scrapes websites' — superseded here by giving the domain to an LLM directly
Session 25: Product Hunt Launch Playbook — Engineering as Marketing, Rules That Get You Banned, and a Real Launch Scheduled Livementioned1:17Alongside Apify for launch research
Session 29: Build Always-On Assistants — Autonomy Is Designed, Not Switched On (OpenClaw on a VPS, Hermes on the Desktop)mentionedSuggested as a skill instead of buying Hostinger's bundled scraping credits.
Day 5: MCP as Concierge — Easy/Medium/Hard Modes, Stacking Servers, Smithery Vetting, and RAG vs MCPmentionedScrape multi-link sites into RAG
Day 12: MCP Ultra-Hard Mode — Editing the Config Safely, Building Your Own MCP Server in n8n, Opal, Cross-LLM Memory, and an Early Look at Claude CoworkmentionedStars/forks trust example (5,300 / 588)

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