# Example Requests

In this example, we send a simple LLM Scraper request using **Perplexity**, asking for leading SEO tips for 2026.

Perplexity performs AI-powered web retrieval and synthesis, returning a structured answer enriched with citations, inline citations, and additional contextual signals such as follow-up questions and media.

***

### Request

```bash
curl -X POST https://llm-scraper.netnut.io/search \
  -U "username:password" \
  -H "Content-Type: application/json" \
  -d '{
    "engine": "perplexity",
    "prompt": "what are the leading SEO tips in 2026"
  }'
```

***

### Example Response

Example shape – your actual traceID, timestamps, and content will vary.

```json
{
  "traceID": "123ab445-c3d5-1a02-9876-7aa1260034cd",
  "timestamp": "2026-03-26T16:38:26.032Z",
  "request_duration": 10.95,
  "process_duration": 10.95,
  "scraper": "Perplexity",
  "llm_model": "gpt-5.4",
  "response": {
    "prompt": "what are the leading SEO tips in 2026",

    "text": "Leading SEO tips for 2026 focus on semantic SEO, content quality, technical performance, and structured data...",

    "text_markdown": "Here are the leading SEO tips for 2026...\n\n- Focus on semantic SEO...\n- Emphasize E-E-A-T...\n- Improve performance...",

    "citations_found": true,

    "citations": [
      {
        "id": 1,
        "title": "10 SEO Trends in 2026: Advanced Tips That Win Rankings",
        "url": "https://kwebby.com/blog/seo-trends-in-2026/",
        "section": "citations"
      },
      {
        "id": 2,
        "title": "2026 SEO Trends: Top Predictions from 20 Industry Experts - Moz",
        "url": "https://moz.com/blog/2026-seo-trends-predictions-from-20-experts",
        "section": "citations"
      }
    ],

    "inline_citations": [
      {
        "id": 1,
        "url": "https://moz.com/blog/2026-seo-trends-predictions-from-20-experts",
        "title": "2026 SEO Trends: Top Predictions from 20 Industry Experts - Moz",
        "text_anchor": "improves coverage for related queries."
      }
    ],

    "follow_ups": [
      "Technical SEO best practices for 2026",
      "How AI is changing SEO in 2026"
    ],

    "media_items": [
      {
        "type": "video",
        "title": "SEO for 2026: The Complete Guide",
        "url": "https://img.youtube.com/vi/FC-bF9_FN9M/maxresdefault.jpg",
        "source_url": "https://www.youtube.com/watch?v=FC-bF9_FN9M"
      }
    ]
  }
}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.netnut.io/netnut-documentation/netnut-scraper-apis/llm-scraper/perplexity/example-requests.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.