POST /v1/monitor/grok

Grok Scraper API

The only AI answer engine wired into X, as structured data.

Grok is unique among AI assistants: it pulls live signal from X, so its answers reflect real-time conversation no other model sees. That makes it invaluable for brand monitoring — and painful to scrape yourself. llmdata runs prompts against the real Grok interface and returns the answer with its cited posts and web sources as clean JSON.

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Example request
curl -X POST https://api.llmdata.dev/v1/monitor/grok \
  -H "Authorization: Bearer $LLMDATA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "what are people saying about the new iPhone",
    "country": "US"
  }'
Response
{
  "success": true,
  "result": {
    "text": "The reaction on X has been largely...",
    "sources": [
      { "type": "x_post", "url": "https://x.com/..." },
      { "type": "web", "url": "https://..." }
    ],
    "entities": ["iPhone", "Apple"]
  }
}

What you get in every response

text / markdown

Grok's full answer.

sources

Cited X posts and web links, typed and ordered.

entities

Brands, products and people mentioned.

What teams build with the Grok endpoint

Real-time sentiment pulse

Ask Grok what people think about your brand — it synthesises live X conversation you'd otherwise mine manually.

Launch monitoring

During a launch, poll Grok hourly to see how the narrative is forming.

Full-coverage AI tracking

Complete your AI-visibility matrix — Grok answers differ sharply from Google-ecosystem models.

Grok scraping FAQ

Is this the xAI API?

No — the xAI developer API serves raw models. llmdata captures the Grok consumer product with its live X integration, which answers very differently.

Do I get the X posts Grok cites?

Yes, cited posts come back as typed source entries with URLs.

How often can I poll?

As often as your plan's rate limit allows — hourly brand pulses are a common pattern.

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