> For the complete documentation index, see [llms.txt](https://developers.oxylabs.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developers.oxylabs.io/api-targets/llms-and-ai.md).

# LLMs and AI

Oxylabs LLM scrapers let you submit prompts to leading AI platforms and receive structured and parsed responses. Supported targets:

* [ChatGPT](/api-targets/llms-and-ai/chatgpt.md) – source: `chatgpt`
* [Gemini](/api-targets/llms-and-ai/gemini.md) – source: `gemini`
* [Perplexity](/api-targets/llms-and-ai/perplexity.md) – source: `perplexity`

{% hint style="info" %}
**Note:** JavaScript rendering is enabled by default for all LLM targets. Do not include `render` in your request payload.
{% endhint %}

### Request sample

All LLM targets use mostly same request parameters, with main difference in the maximum prompt length.

```json
{
  "source": "chatgpt",
  "prompt": "best supplements for better sleep",
  "parse": true,
  "geo_location": "United States"
}
```

<table><thead><tr><th width="195.5">Parameter</th><th width="452.5">Description</th><th width="117">Type</th></tr></thead><tbody><tr><td><mark style="background-color:green;"><strong><code>source</code></strong></mark></td><td>The LLM target to scrape. Allowed values: <code>chatgpt</code>, <code>perplexity</code>, <code>gemini</code>.</td><td>string</td></tr><tr><td><mark style="background-color:green;"><strong><code>prompt</code></strong></mark></td><td>The query or prompt to submit. Maximum length: 4,000 characters for <code>chatgpt</code>; 8,000 characters for <code>perplexity</code> and <code>gemini</code>.</td><td>string</td></tr><tr><td><code>parse</code></td><td>Set to <code>true</code> to receive a structured JSON response.</td><td>boolean</td></tr><tr><td><code>geo_location</code></td><td>The geographic location to route the request from (e.g., <code>"United States"</code>).</td><td>string</td></tr><tr><td><code>callback_url</code></td><td>A URL to which the result will be delivered upon job completion.</td><td>string</td></tr></tbody></table>

&#x20;    \- mandatory parameter

### Response

All LLM targets return the same top-level data structure. The parsed content specific to each target is found inside `results[].content` (see the individual target pages for the full field reference).

<table><thead><tr><th width="196">Field</th><th width="452">Description</th><th width="114">Type</th></tr></thead><tbody><tr><td><code>job.id</code></td><td>Unique identifier for the scraping job.</td><td>string</td></tr><tr><td><code>job.status</code></td><td>Current status of the job (e.g., <code>done</code>).</td><td>string</td></tr><tr><td><code>job.source</code></td><td>Submitted <code>source</code> value.</td><td>string</td></tr><tr><td><code>job.parse</code></td><td>Submitted <code>parse</code> value.</td><td>boolean</td></tr><tr><td><code>job.prompt</code></td><td>Original prompt in the request.</td><td>string</td></tr><tr><td><code>job.geo_location</code></td><td> Geolocation used for the request.</td><td>string</td></tr><tr><td><code>job.created_at</code></td><td>Job creation timestamp (UTC, <code>YYYY-MM-DD HH:MM:SS</code>).</td><td>string</td></tr><tr><td><code>job.updated_at</code></td><td>Job update timestamp</td><td>string</td></tr><tr><td><code>results[].job_id</code></td><td>Job ID associated with the result.</td><td>string</td></tr><tr><td><code>results[].status_code</code></td><td>HTTP status code of page fetch.</td><td>integer</td></tr><tr><td><code>results[].url</code></td><td>Target LLM page.</td><td>string</td></tr><tr><td><code>results[].content</code></td><td>LLM response data. Fields vary <a href="/pages/5kRXzxrnhjYK8v2NGat6#response-data-by-target">by target</a>.</td><td>object</td></tr></tbody></table>

### Response data by target

The table below shows which data fields are available for each LLM target.&#x20;

|                                                                        | [**ChatGPT**](/api-targets/llms-and-ai/chatgpt.md) | [**Gemini**](/api-targets/llms-and-ai/gemini.md) | [**Perplexity**](/api-targets/llms-and-ai/perplexity.md) |
| ---------------------------------------------------------------------- | :------------------------------------------------: | :----------------------------------------------: | :------------------------------------------------------: |
| Prompt input                                                           |                          ✓                         |                         ✓                        |                             ✓                            |
| Parsed output (JSON)                                                   |                          ✓                         |                         ✓                        |                             ✓                            |
| Plain text response                                                    |                          ✓                         |                         ✓                        |                             –                            |
| Markdown output                                                        |                          ✓                         |                         ✓                        |                             ✓                            |
| Markdown JSON tree                                                     |                          ✓                         |                         –                        |                             ✓                            |
| <mark style="background-color:yellow;">Search / related queries</mark> |                          ✓                         |                         –                        |                             ✓                            |
| <mark style="background-color:yellow;">Citations / sources</mark>      |                          ✓                         |                         ✓                        |                             ✓                            |
| <mark style="background-color:yellow;">Shopping results</mark>         |                          ✓                         |                         –                        |                             ✓                            |
| <mark style="background-color:yellow;">Ads</mark>                      |                          ✓                         |                         –                        |                             –                            |
| Geolocation                                                            |                          ✓                         |                         ✓                        |                             ✓                            |
| LLM model used                                                         |                          ✓                         |                         –                        |                             ✓                            |

&#x20;    – conditional, returned only when content is in the LLM's response.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://developers.oxylabs.io/api-targets/llms-and-ai.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.