Skip to content
SpiderFly
Get API key

Web data infra for AI agents

Fetch, render, crawl, and extract web data for AI agents with one API your team can reason about.

Get API keyRead the docs
$ curl -X POST "$SPIDERFLY_BASE_URL/v1/fetch" \
  -H "Authorization: Bearer $SPIDERFLY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://www.wikipedia.org/"}'

Product proof before promises

Until external claims are verified, the website points to concrete API surfaces and documentation.

Public API routesCopyable examplesProduct console linkLLM-readable index

Start simple. Upgrade only when the page demands it.

SpiderFly gives products a single path from fast fetches to browser-backed pages and multi-page jobs.

Fetch

Start with the fast path for pages that can be read without a browser.

Browser Scrape

Use managed browser rendering when a page needs JavaScript before content is usable.

Crawl

Run multi-page jobs when an agent needs more than one URL.

Extract

Turn page content into structured fields your product can use.

Code becomes the product language as users go deeper

The homepage proves the API quickly. Platform and docs pages can carry denser examples for developers.

$ curl -X POST "$SPIDERFLY_BASE_URL/v1/browser/scrape" \
  -H "Authorization: Bearer $SPIDERFLY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://www.wikipedia.org/","browser":{"wait_for_selector":"body"}}'

Give every workflow a clear web data path

Use SpiderFly where agents, pipelines, monitors, and product surfaces need explainable web inputs.

AI agents

Give agents a dependable way to read the web without owning browser infrastructure.

Knowledge pipelines

Collect source pages for retrieval, enrichment, and review workflows.

Web monitoring

Track pages that matter to your product and explain how each run completed.

Product workflows

Add web data to internal tools, research flows, and customer-facing automations.

Docs that agents and developers can follow

Route users from the website into copyable examples, public API reference, and the product console.

Read the docsAPI Reference
$ curl -X POST "$SPIDERFLY_BASE_URL/v1/browser/scrape" \
  -H "Authorization: Bearer $SPIDERFLY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://www.wikipedia.org/","browser":{"wait_for_selector":"body"}}'

Pricing should be easy to reason about

SpiderFly pricing copy stays conservative until exact public plans are verified.

Usage follows work done

Fetches, browser-backed requests, crawl volume, and extraction work should map to understandable usage units.

Start with API access

Use the product console to create keys and test workloads before committing to larger usage.

Scale after review

Larger workloads should be scoped against traffic shape, browser needs, and data handling requirements.

Get API key