Web Scraping API for Structured Data

Try it

curl "https://api.rasterly.dev/v1/extract?url=https://example.com/product/42" \
  -H "X-Api-Key: sk_live_..."

{
  "url": "https://example.com/product/42",
  "title": "Trail Runner 2.0",
  "description": "Lightweight trail running shoe.",
  "meta": { "canonical": "...", "lang": "en", "author": null },
  "og": { "title": "Trail Runner 2.0", "image": "..." },
  "jsonld": [ { "@type": "Product", "name": "Trail Runner 2.0", "offers": { ... } } ],
  "tables": [ [ ["Size","Stock"], ["US 9","12"] ] ],
  "images": [ { "src": "...", "alt": "Trail Runner 2.0, side view", "width": 1200 } ],
  "links": [ { "href": "...", "text": "Add to cart" } ]
}

What it's for

• Price / catalog monitoring — read a competitor's Product JSON-LD instead of regex-parsing a price out of a <span>.
• Content pipelines — pull OpenGraph metadata to auto-generate link previews or a reading list.
• Table extraction — turn a pricing or spec table on a docs page into rows you can diff or store.
• Agent tool calls — an LLM agent that needs facts, not prose, gets fields back directly instead of parsing Markdown.

Why rasterly

Extraction is the same one-render engine as the screenshot and read endpoints — one browser process reused across requests, so a warm render is about a second of CPU. That's why it's priced from $0.90 per 1,000 calls with 100/mo free, rather than sold as a separate "scraping" product with its own markup.

FAQ