One API for every model — and tool

Turn any web page into prompt input.

Some of the data you need only exists on a web page — a price, a forecast, a news item, a doc. VernaOne fetches and renders any URL, even protected ones, through Scrappey, and hands the content straight to a model as input.

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~15 providers & tools behind one API — LLMs, media, search & scraping

OpenAIAnthropic ClaudeGoogle GeminiMeta LlamaOpenRouter

The data you need is behind a page you can't easily fetch

A plain HTTP GET fails on modern sites: JavaScript-rendered content, Cloudflare challenges, and CAPTCHAs block naive scrapers. Building a resilient render-and-extract pipeline means headless browsers, proxy rotation, and constant maintenance — a project in itself.

And even once you have the HTML, you still have to get it into your prompt flow cleanly.

How scraping works in VernaOne

  1. 1

    Fetch and render any URL

    Scrappey is exposed through the same API as your models. It renders JavaScript and handles Cloudflare- and CAPTCHA-protected pages, returning the page content.

  2. 2

    Straight into a prompt

    Pipe the fetched content directly into a model as input — scrape a price, a weather page, a news article, or documentation and reason over it in the same flow.

  3. 3

    Compose with search and flows

    Combine scraping with live search and multi-step flows: search for a source, scrape it, then summarize or extract — all from governed prompts.

  4. 4

    Governed like everything else

    Scraping runs under your projects, keys, versioning, and analytics, and returns the unified response envelope.

Highlights

🕸️

Renders protected pages

JavaScript, Cloudflare, and CAPTCHA-protected URLs — fetched and rendered, not blocked.

➡️

URL → prompt input

Page content flows straight into a model; no separate extraction service to maintain.

🔗

Composes with search & flows

Search → scrape → reason, chained from governed prompts in one flow.

🧱

Unified envelope

Scraped content returns in the same shape as every execution.

Scrappey handles the hard part — JS rendering, Cloudflare, CAPTCHAs — so the page content is just another input to your prompt.

Ship on this — free to start.

Author a prompt once and call it by name. VernaOne handles the model, the fallback, the cost, and the alerting.

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Frequently asked

Can VernaOne scrape pages that block normal scrapers?

Yes. Via Scrappey it fetches and renders any URL — including JavaScript-heavy and Cloudflare/CAPTCHA-protected pages — and feeds the content straight into a model.

What can I use scraping for?

Anything where the data lives on a page: scraping prices, weather, news, or documentation on demand and using it as prompt input for extraction, summarization, or reasoning.

Can I combine scraping with search?

Yes. In a flow you can search for a source with Tavily/Perplexity, scrape the page with Scrappey, and then reason over it with a model — all through governed prompts and one API.