Web data infrastructure for AI
Multi-provider web scraping orchestration with fallback chains and typed output schemas per provider. Schema-guided LLM extraction and model-level fallback are the next layers we are building on top.
Puppeteer
Playwright
Make
Zapier
n8n
Resend
AWS
Redis
Rows
Airtable
LLM extraction
Any page into structured JSON
Schema-guided extraction is on the roadmap. The plumbing is here today: flows, providers, fallback chains.
<article class="product">
<h1>Air Max 90 - White</h1>
<span class="price">$129.99</span>
<div class="stock in">In stock</div>
<div class="rating" data-score="4.7">
<span>4.7</span> (1,284 reviews)
</div>
<img src="/img/airmax90.jpg" />
</article>{
"title": "Air Max 90 - White",
"price": 129.99,
"currency": "USD",
"inStock": true,
"rating": 4.7,
"reviewCount": 1284,
"image": "https://shop.example/img/airmax90.jpg"
}Example output. Schema-aligned JSON from any page.
Schema-enforced output
Define a JSON Schema. Every response either matches it or is rejected at the boundary. No malformed data silently slipping into your pipeline.
BYO model, BYO key
Pick the LLM that fits your cost-quality tradeoff. Your API key, your account, your limits. No platform reselling tokens.
Fallback chains
Multiple providers, one flow. When a tier fails or rate-limits, the next takes over automatically. No retry loops, no on-call pages.
How It Works
Define a flow. Watch it run.
Three steps from raw URL to structured data.
Configure
Pick providers, set fallback order, define your output schema.
Orchestrate
The engine routes requests, handles failures, and retries across providers.
Monitor
Watch every step, fallback and result - in real time.
Features
Built for reliability, not demos
Your Data Layer
One dataset connects crawlers and scrapers. Here's how.
Crawler finds 142 URLs
Writes each URL as a new item into Config
Scraper reads each URL
Picks items from Config as input parameters
Results stored as artifacts
Every run keeps structured output - browse, download, or pipe into the next step