Turn the Web into LLM ready data

Challenge

Agents need to read web pages, but running a browser per-agent is expensive, slow, and hard to scale.

Solution

Replace headless browser calls with single API requests. Get HTML or Markdown with automatic proxy escalation built in.

Impact

Agents that browse the web reliably at scale with zero browser infra.

Challenge

Answering questions about current events or specific URLs requires live web access. Training data cutoffs leave models unable to answer about recent content.

Solution

Scrape the relevant URL to Markdown and inject it as context before generating an answer.

Impact

Search results grounded in real, current content users can trust.

Challenge

Tracking competitor websites for pricing, product, and messaging changes requires scrapers that constantly break.

Solution

Use the HTML or Markdown endpoint to snapshot competitor pages on a schedule. Diff the output and feed changes to an LLM for analysis.

Impact

Know when a competitor changes pricing or messaging within hours.

Challenge

Users want to import web pages into their knowledge bases, but HTML is noisy and hard to chunk correctly for embedding.

Solution

Use the Markdown endpoint for clean, well-structured content. Use Sitemap to discover all pages in a documentation site for bulk import.

Impact

Faster, cleaner knowledge base ingestion with better retrieval.

Challenge

Evaluating how well a model handles real-world web content requires a reliable way to fetch diverse, current web pages at scale.

Solution

Programmatically scrape a wide range of pages to build evaluation datasets grounded in real, current web content.

Impact

Richer, more realistic model evaluations against the actual web.

Challenge

Content teams want AI that can research topics from the live web before writing, but connecting models to live data requires custom infrastructure.

Solution

Fetch relevant pages as Markdown and inject into the generation prompt. Your content AI researches and cites live sources automatically.

Impact

AI-written content grounded in current, verifiable sources.

Challenge

Extracting images from web pages to feed into vision models requires parsing complex HTML, handling SVGs, base64 URIs, and multiple image types.

Solution

Use the Images endpoint to extract every image from any URL in a structured array, classified by type and element source.

Impact

Reliable image extraction without brittle custom scrapers.