Crawlinx API

Free technical-SEO audits for humans and AI agents — no signup, no API key.

Crawlinx runs 79 SEO checks on every crawl: titles, meta descriptions, canonical tags, hreflang, structured data, mobile parity, render-diff, broken links, performance, security headers, and more. Results are public and shareable.

Endpoints

POST /api/scan — start a scan

Request body (JSON):

{
  "url":  "https://example.com",   // required — the site to audit
  "mode": "free"                   // "free" | "instant"
}

Mode values:

Response (202 for async, 200 for instant):

{"id": "abc123def456"}

Use the returned id to poll for results.

GET /api/scan/{id}/report — JSON report

Returns the full structured report once the scan is complete. Polling the progress endpoint first is recommended for large crawls.

GET https://crawlinx.com/api/scan/{id}/report

GET /api/scan/{id}/progress — scan progress (SSE)

Server-sent events stream emitting progress updates while the crawl runs. Connect and read until you receive a done or error event.

GET https://crawlinx.com/api/scan/{id}/progress

GET /r/{id}.md — Markdown report

Returns the LLM-ready Markdown export of the report — YAML front-matter, score, per-category breakdown, all issues, checks coverage, and this API reference. Designed to be pasted directly into ChatGPT, Claude, or Cursor.

GET https://crawlinx.com/r/{id}.md

GET /api/reports — recent public audits

List of recently completed public scan summaries (domain, health score, id).

GET https://crawlinx.com/api/reports

Quick start (curl)

# 1. Start a scan
ID=$(curl -s -X POST https://crawlinx.com/api/scan \
  -H 'Content-Type: application/json' \
  -d '{"url":"https://example.com","mode":"free"}' | jq -r .id)

# 2. Poll progress (optional — wait for done event)
curl -sN https://crawlinx.com/api/scan/$ID/progress

# 3. Fetch the JSON report
curl -s https://crawlinx.com/api/scan/$ID/report | jq .health_score

# 4. Fetch the Markdown report (paste into an LLM)
curl -s https://crawlinx.com/r/$ID.md

AI agent integration

Crawlinx is designed to be called by AI coding assistants, agent pipelines, and automation tools. The Markdown export (/r/{id}.md) is the recommended format for passing a report to an LLM context: it is compact, self-describing, and includes a checks-coverage section so the model can see what was audited, not just what failed.

Suggested system-prompt snippet:

When the user asks for an SEO audit, call POST https://crawlinx.com/api/scan with the target
URL and mode "free", then fetch /r/{id}.md and include the result in your
context before answering.

Usage rules & fair use

For takedown requests or abuse reports: Remove my site or [email protected].