Skip to content
SpideyData
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 "$SPIDER_BASE_URL/v1/fetch" \
  -H "Authorization: Bearer $SPIDER_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.

SpideyData 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 "$SPIDER_BASE_URL/v1/browser/scrape" \
  -H "Authorization: Bearer $SPIDER_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 SpideyData 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 "$SPIDER_BASE_URL/v1/browser/scrape" \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://www.wikipedia.org/","browser":{"wait_for_selector":"body"}}'
From the blog

Practical notes for dependable web data

Field-tested patterns for choosing fetch, browser, crawl, and extraction paths.

Browse all articles
A continuous session timeline connecting network identity, page activity, resource timing, and trust decisions.
Engineering

Bot Detection Judges the Whole Session, Not a Single Fingerprint

Modern defenses correlate network identity, navigation, interaction, resource timing, and session history instead of trusting one browser fingerprint.

9 min read
A browser runtime audit linking graphics, audio, CPU, operating system, storage, and automation signals.
Engineering

Browser Fingerprinting Is a Consistency Audit, Not a Checklist

Canvas, WebGL, audio, clean realms, WebAssembly, storage, and automation traces become meaningful when they are evaluated as one device story.

10 min read
A layered network connection showing TCP, TLS, HTTP/2, HTTP/3, and request-header signals before an application request.
Engineering

Bot Detection Starts Before HTTP

TCP, TLS, HTTP/2, headers, and QUIC each reveal part of a client implementation—and contradictions across layers are stronger than any one fingerprint.

9 min read

Pricing plans

// Starter

Recommended

For prototypes and light workloads.

$39
30,000 Plan Credits
Choose Starter

// Scale

For growing teams and higher volume.

$149
100,000 Plan Credits
Choose Scale

// Enterprise

For advanced needs and custom scale.

Custom
Custom Plan Credits

Custom price and Plan Credits are confirmed before any order.

Plan Credits are used first. Credits balance never expires.