> 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/es/llms-e-ia/chatgpt.md).

# ChatGPT

El `ChatGPT` la fuente te permite enviar un prompt a ChatGPT y recibir una respuesta completamente analizada y estructurada, incluyendo la respuesta en texto plano y en Markdown, las citas de origen, las consultas de búsqueda que usó el modelo y productos y anuncios de compras.

## Ejemplos de solicitud

Los siguientes ejemplos de código demuestran cómo enviar un prompt y recuperar una respuesta de ChatGPT con resultados analizados.

{% tabs %}
{% tab title="cURL" %}

```bash
curl 'https://realtime.oxylabs.io/v1/queries' \
--user 'USERNAME:PASSWORD' \
-H 'Content-Type: application/json' \
-d '{
        "source": "chatgpt",
        "prompt": "best supplements for better sleep",
        "parse": true,
        "geo_location": "United States"
    }'
```

{% endtab %}

{% tab title="Python" %}

```python
import requests
from pprint import pprint

# Structure payload.
payload = {
    'source': 'chatgpt',
    'prompt': 'best supplements for better sleep',
    'parse': True,
    'geo_location': "United States"
}

# Get response.
response = requests.request(
    'POST',
    'https://realtime.oxylabs.io/v1/queries',
    auth=('USERNAME', 'PASSWORD'),
    json=payload,
)

# Print prettified response to stdout.
pprint(response.json())
```

{% endtab %}

{% tab title="Node.js" %}

```javascript
const https = require("https");

const username = "USERNAME";
const password = "PASSWORD";
const body = {
    source: "chatgpt",
    prompt: "best supplements for better sleep",
    parse: true,
    geo_location: "United States"
};

const options = {
    hostname: "realtime.oxylabs.io",
    path: "/v1/queries",
    method: "POST",
    headers: {
        "Content-Type": "application/json",
        Authorization:
            "Basic " + Buffer.from(`${username}:${password}`).toString("base64"),
    },
};

const request = https.request(options, (response) => {
    let data = "";

    response.on("data", (chunk) => {
        data += chunk;
    });

    response.on("end", () => {
        const responseData = JSON.parse(data);
        console.log(JSON.stringify(responseData, null, 2));
    });
});

request.on("error", (error) => {
    console.error("Error:", error);
});

request.write(JSON.stringify(body));
request.end();
```

{% endtab %}

{% tab title="HTTP" %}

```http
https://realtime.oxylabs.io/v1/queries?source=chatgpt&prompt=best%20supplements%20for%20better%20sleep&parse=true&geo_location=United%20States&access_token=12345abcde
```

{% endtab %}

{% tab title="PHP" %}

```php
<?php

$params = array(
    'source' => 'chatgpt',
    'prompt' => 'best supplements for better sleep',
    'parse' => true,
    'geo_location' => "United States"
);

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, "https://realtime.oxylabs.io/v1/queries");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($params));
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_USERPWD, "USERNAME" . ":" . "PASSWORD");


$headers = array();
$headers[] = "Content-Type: application/json";
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);

$result = curl_exec($ch);
echo $result;

if (curl_errno($ch)) {
    echo 'Error:' . curl_error($ch);
}
curl_close($ch);
```

{% endtab %}

{% tab title="Golang" %}

```go
package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io/ioutil"
	"net/http"
)

func main() {
	const Username = "USERNAME"
	const Password = "PASSWORD"

  	payload := map[string]interface{}{
        	"source": "chatgpt",
        	"prompt": "best supplements for better sleep",
        	"parse":  true,
        	"geo_location": "United States"
    	}

	jsonValue, _ := json.Marshal(payload)

	client := &http.Client{}
	request, _ := http.NewRequest("POST",
		"https://realtime.oxylabs.io/v1/queries",
		bytes.NewBuffer(jsonValue),
	)

	request.SetBasicAuth(Username, Password)
	response, _ := client.Do(request)

	responseText, _ := ioutil.ReadAll(response.Body)
	fmt.Println(string(responseText))
}
```

{% endtab %}

{% tab title="C#" %}

```csharp
using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Net.Http.Json;
using System.Threading.Tasks;

namespace OxyApi
{
    class Program
    {
        static async Task Main()
        {
            const string Username = "USERNAME";
            const string Password = "PASSWORD";

            var parameters = new
            {
                source = "chatgpt",
                prompt = "best supplements for better sleep",
                parse = true,
                geo_location = "United States"
            };

            var client = new HttpClient();

            Uri baseUri = new Uri("https://realtime.oxylabs.io");
            client.BaseAddress = baseUri;

            var requestMessage = new HttpRequestMessage(HttpMethod.Post, "/v1/queries");
            requestMessage.Content = JsonContent.Create(parameters);

            var authenticationString = $"{Username}:{Password}";
            var base64EncodedAuthenticationString = Convert.ToBase64String(System.Text.ASCIIEncoding.UTF8.GetBytes(authenticationString));
            requestMessage.Headers.Add("Authorization", "Basic " + base64EncodedAuthenticationString);

            var response = await client.SendAsync(requestMessage);
            var contents = await response.Content.ReadAsStringAsync();

            Console.WriteLine(contents);
        }
    }
}
```

{% endtab %}

{% tab title="Java" %}

```java
package org.example;

import okhttp3.*;
import org.json.JSONArray;
import org.json.JSONObject;
import java.util.concurrent.TimeUnit;

public class Main implements Runnable {
    private static final String AUTHORIZATION_HEADER = "Authorization";
    public static final String USERNAME = "USERNAME";
    public static final String PASSWORD = "PASSWORD";

    public void run() {
        JSONObject jsonObject = new JSONObject();
        jsonObject.put("source", "chatgpt");
        jsonObject.put("prompt", "best supplements for better sleep");
        jsonObject.put("parse", true);
        jsonObject.put("geo_location", "United States");

        Authenticator authenticator = (route, response) -> {
            String credential = Credentials.basic(USERNAME, PASSWORD);
            return response
                    .request()
                    .newBuilder()
                    .header(AUTHORIZATION_HEADER, credential)
                    .build();
        };

        var client = new OkHttpClient.Builder()
                .authenticator(authenticator)
                .readTimeout(180, TimeUnit.SECONDS)
                .build();

        var mediaType = MediaType.parse("application/json; charset=utf-8");
        var body = RequestBody.create(jsonObject.toString(), mediaType);
        var request = new Request.Builder()
                .url("https://realtime.oxylabs.io/v1/queries")
                .post(body)
                .build();

        try (var response = client.newCall(request).execute()) {
            if (response.body() != null) {
                try (var responseBody = response.body()) {
                    System.out.println(responseBody.string());
                }
            }
        } catch (Exception exception) {
            System.out.println("Error: " + exception.getMessage());
        }

        System.exit(0);
    }

    public static void main(String[] args) {
        new Thread(new Main()).start();
    }
}
```

{% endtab %}

{% tab title="JSON" %}

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

{% endtab %}
{% endtabs %}

{% hint style="info" %}
**Nota:** La renderización de JavaScript está habilitada de forma predeterminada para todas las fuentes LLM. No necesitas incluir parámetros de renderización en el cuerpo de tu solicitud.
{% endhint %}

Usamos el método de integración sincrónica [**Realtime**](/products/es/web-scraper-api/integration-methods/realtime.md) en nuestros ejemplos. Si quieres usar [**Proxy Endpoint**](/products/es/web-scraper-api/integration-methods/proxy-endpoint.md) o la integración asíncrona [**Push-Pull**](/products/es/web-scraper-api/integration-methods/push-pull.md) (incluidas [las consultas por lotes](/products/es/web-scraper-api/integration-methods/push-pull.md#batch-query)), consulta la [**sección de métodos de integración**](/products/es/web-scraper-api/integration-methods.md) .

### Parámetros de la solicitud

Configuración básica y opciones de personalización para extraer datos de ChatGPT.

<table><thead><tr><th width="222">Parámetro</th><th width="350.3333333333333">Descripción</th><th>Valor predeterminado</th></tr></thead><tbody><tr><td><mark style="background-color:green;"><strong><code>source</code></strong></mark></td><td>Establece el objetivo del scraper. Usa <code>ChatGPT</code>.</td><td>–</td></tr><tr><td><mark style="background-color:green;"><strong><code>prompt</code></strong></mark></td><td>El prompt o la pregunta que se enviará a ChatGPT. Debe tener menos de 4000 caracteres.</td><td>–</td></tr><tr><td><code>search</code></td><td>Establécelo en <code>true</code> para búsqueda web.</td><td><code>false</code></td></tr><tr><td><code>parse</code></td><td>Establécelo en <code>true</code> para resultados JSON estructurados.</td><td><code>false</code></td></tr><tr><td><code>geo_location</code></td><td>Especifica un país desde el que enrutar la solicitud. <a href="/spaces/xofNngbwiAAH0MB3lMAb/pages/420947c2a7ffcd522d505758107770ed31701a21"><strong>Más información</strong></a>.</td><td>–</td></tr><tr><td><code>callback_url</code></td><td>URL de tu endpoint de callback. <a href="https://developers.oxylabs.io/products/web-scraper-api/integration-methods/push-pull"><strong>Más información</strong></a></td><td>–</td></tr></tbody></table>

&#x20;    \- parámetro obligatorio

## Datos estructurados

Web Scraper API puede devolver un objeto HTML o JSON que contiene la salida de ChatGPT, con datos estructurados sobre varios elementos de la página de resultados.

<details>

<summary><code>ChatGPT</code> salida estructurada</summary>

```json
{
  "results": [
    {
      "job_id": "7470033199733683201",
      "status_code": 200,
      "url": "https://chatgpt.com/?model=auto",
      "content": {
        "prompt": "best supplements for better sleep",
        "llm_model": "gpt-5-5",
        "response_text": "If you're looking for supplements with the best evidence for improving sleep, I'd rank them roughly like this: 1. Magnesium glycinate Best all-around starting point for many people ...",
        "markdown_text": "If you're looking for supplements with the best evidence for improving sleep, I'd rank them roughly like this:\n\n### 1. Magnesium glycinate\n\n**Best all-around starting point for many people**\n\n* ...",
        "markdown_json": [
          {
            "type": "paragraph",
            "children": [
              {
                "type": "text",
                "raw": "If you're looking for supplements with the best evidence for improving sleep, I'd rank them roughly like this:"
              }
            ]
          },
          {
            "type": "blank_line"
          },
          ...
        ],
        "citations": [
          {
            "title": "Best Sleep Supplements: Evidence-Based Gui | Holistic Health",
            "url": "https://holistic.health/journal/best-sleep-supplements-beyond-melatonin?utm_source=chatgpt.com",
            "text": "Holistic Health",
            "description": "May 26, 2026"
          },
          {
            "title": "Natural Sleep Aids: Which Are the Most Effective?",
            "url": "https://www.sleepfoundation.org/sleep-aids/natural-sleep-aids?utm_source=chatgpt.com",
            "text": "sleepfoundation.org",
            "description": "July 14, 2025 — NATURAL SLEEP AIDS: WHICH ARE THE MOST EFFECTIVE?  Updated July 15, 2025  Written by Lucy Bryan ...",
            "section": "more"
          },
          {
            "title": "Do Magnesium Sleep Drinks Really Work? What the Science Says",
            "url": "https://www.health.com/magnesium-drink-before-bed-11920427?utm_source=chatgpt.com",
            "text": "Health",
            "description": "Magnesium sleep drinks are beverages containing powdered magnesium and often calming ingredients like herbs or amino acids..."
          },
          ...
        ],
        "search_queries": [
          "best supplements for sleep evidence melatonin magnesium valerian 2025"
        ],
        "parse_status_code": 12000
      }
    }
  ]
}
```

</details>

{% hint style="warning" %}
La composición de la respuesta puede variar según si la consulta se realizó desde un **escritorio** o **móvil** dispositivo.
{% endhint %}

### Diccionario de datos de salida

#### Ejemplo HTML

<figure><img src="/files/4f46974971b07c67a295c89aebde36128d5bd32f" alt=""><figcaption></figcaption></figure>

#### Estructura JSON

Todos los destinos LLM devuelven el mismo envoltorio de nivel superior `job` y `results[]` . Consulta [LLMs and AI](/api-targets/es/llms-e-ia.md) para la referencia completa de metadatos.

La siguiente tabla muestra los campos específicos de ChatGPT de `results[].content` en results\[].content:

{% hint style="info" %}
La cantidad de elementos y campos para un tipo de resultado específico puede variar según el prompt enviado.
{% endhint %}

<table><thead><tr><th width="173">Campo</th><th width="476">Descripción</th><th width="90">Tipo</th></tr></thead><tbody><tr><td><code>prompt</code></td><td>Prompt enviado para generar el resultado.</td><td>cadena</td></tr><tr><td><code>llm_model</code></td><td>Modelo específico de ChatGPT usado para la respuesta (por ejemplo, <code>gpt-4o</code>).</td><td>cadena</td></tr><tr><td><code>response_text</code></td><td>Respuesta en texto plano de ChatGPT.</td><td>cadena</td></tr><tr><td><code>markdown_text</code></td><td>Respuesta de ChatGPT en Markdown.</td><td>cadena</td></tr><tr><td><code>markdown_json</code></td><td>Representación JSON estructurada de la respuesta en Markdown. Cada elemento contiene <code>type</code> y <code>children</code>.</td><td>arreglo</td></tr><tr><td><mark style="background-color:yellow;"><code>citations</code></mark></td><td>Lista de citas de origen de la respuesta. Los objetos contienen <code>title</code>, <code>url</code>, <code>text</code>, <code>description</code>y <code>section</code>.</td><td>arreglo</td></tr><tr><td><mark style="background-color:yellow;"><code>search_queries</code></mark></td><td>Consultas de búsqueda usadas por el modelo para recopilar información.</td><td>arreglo de cadenas</td></tr><tr><td><mark style="background-color:yellow;"><code>enlaces</code></mark></td><td>Lista de objetos para los detalles de enlaces de la fuente en línea: <code>url</code> y <code>text</code>.</td><td>arreglo</td></tr><tr><td><mark style="background-color:yellow;"><code>shopping_products</code></mark></td><td>Lista de objetos que contienen detalles del producto: <code>price</code>, <code>title</code>, <code>rating</code>, <code>currency</code>, <code>price_str</code>y <code>thumbnail</code>.</td><td>arreglo</td></tr><tr><td><mark style="background-color:yellow;"><code>ads</code></mark></td><td>Detalles del anuncio que contienen <code>url</code>, <code>title</code>, <code>image_url</code>, <code>description</code>y un <code>advertiser_info</code> objeto.</td><td>arreglo</td></tr><tr><td><mark style="background-color:yellow;"><code>ads.advertiser_info</code></mark></td><td>Objeto con anunciante <code>url</code>, <code>nombre</code>y <code>image_url</code></td><td>objeto</td></tr><tr><td><code>parse_status_code</code></td><td><code>12000</code> – correcto. De lo contrario, el analizador no pudo extraer algunos o todos los campos estructurados.</td><td>entero</td></tr></tbody></table>

&#x20;    – condicional, se devuelve solo cuando el contenido está en la respuesta del LLM.


---

# 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, and the optional `goal` query parameter:

```
GET https://developers.oxylabs.io/api-targets/es/llms-e-ia/chatgpt.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.