Everything you need to ship data-driven AI features.
Chuger is the unified API for the open web. Scrape, extract markdown, search, run LLM prompts against live pages, bulk-process URLs — six endpoints, one envelope, automatic fallback under the hood.
The web-data stack is fragmented, brittle, and expensive to operate.
Three failure modes show up in every team we talk to. They are not exotic edge cases — they are the default outcome of stitching together a vendor stack.
Five vendors, five contracts
Your scraper, your SERP, your headless renderer, your LLM, your bulk pipeline — each with its own SDK, response shape, dashboard, billing cycle, and on-call rotation. Every team rebuilds the same coordination layer.
$ 14 invoices reconciled per month, ~3 hrs lost to vendor admin
One provider degrades, the pipeline dies
When your primary scraper hits captchas or your search vendor changes their HTML, your nightly enrichment job fails silently or wakes someone up. Brittle by default, expensive to harden.
$ Average pipeline incident: ~4 hrs eng time + missed customer SLA
Glue code that nobody owns
Retry logic, parsing helpers, fallback ladders, markdown extraction — every codebase has its own. None of it is the differentiated work, all of it ages badly, and it's the first thing to break when an upstream changes.
$ Median scraper-glue file: 600+ LOC, 0 tests, 1 author who has left
One surface. Every primitive. Boring infrastructure, productized.
One API, one contract
Six endpoints behind one Bearer token. One credit pool. One bill. One support relationship. The vendor stack disappears behind a stable surface you control.
Health-aware routing, by default
Every request runs through a real-time router that watches upstream error rates and degrades gracefully. Fallback isn't a feature flag — it's how the platform runs.
Production primitives, productized
Markdown extraction, async bulk with webhook delivery, LLM-grounded prompts, MCP server for AI clients — the boring infrastructure shipped as endpoints, not snippets you copy from blogs.
Six endpoints. One credit pool. Same shape across the board.
Each endpoint accepts the same Bearer auth and returns the same envelope shape. Once you've integrated one, you've integrated all six.
Scrape
Raw HTML for any URL. Render JavaScript when needed. Provider-aware fallback at every step.
Content
Server-side markdown extraction. Title, body, author, OG metadata — clean and ready for an LLM.
Bulk Content
Send up to 100 URLs in one POST. We process async and ping your webhook (or email) when ready.
SERP
Search results with positions, snippets, sitelinks, and answer boxes. One envelope, every region.
SERP + Content
Run a search, then extract clean content from every result, in a single call. The combo nobody else ships.
Prompt
LLM prompt grounded in a live page. Send a URL and a question; get a model-generated answer that cites the page.
What's behind the surface.
Built-in fallback
Health-aware router degrades gracefully. p95 fallback overhead under 200ms.
Markdown extraction
Clean, LLM-ready markdown with title, body, author, and meta — no DOM gymnastics.
Async bulk
Up to 100 URLs per call. Webhook or email delivery on completion. No queues to operate.
MCP server
First-class Model Context Protocol server. Wire Chuger into Claude Desktop, Cursor, or any MCP client.
LLM-over-content
Send a URL and a question. We fetch, extract, and prompt — one round-trip.
Streaming where it matters
Streamed responses on /prompt for ChatGPT-style UX. Standard JSON elsewhere.
What changes when you consolidate.
Stop building the plumbing.
Get a key, point your code at one base URL, and ship the part of your product that's actually yours.