> 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/pt-br/llms-e-ia/perplexity.md).

# Perplexity

O `Perplexity` A fonte perplexity permite enviar um prompt e receber uma resposta totalmente analisada e estruturada, incluindo a resposta formatada, as fontes da web usadas, as consultas relacionadas e as abas de UI exibidas. Prompts relacionados a produtos podem retornar resultados de compras e listagens de produtos inline.

## Exemplos de requisição

Os exemplos de código abaixo ilustram como enviar prompts ao Perplexity e recuperar respostas analisadas.

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

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

{% endtab %}

{% tab title="Python" %}

```python
import requests
from pprint import pprint


# Structure payload.
payload = {
    'source': 'perplexity',
    'prompt': 'top 3 smartphones in 2025, compare pricing across US marketplaces',
    'geo_location': 'United States',
    'parse': True
}

# Get a response.
response = requests.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: "perplexity",
    prompt: "top 3 smartphones in 2025, compare pricing across US marketplaces",
    geo_location: "United States",
    parse: true
};

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=perplexity&prompt=top%203%20smartphones%20in%202025%2C%20compare%20pricing%20across%20US%20marketplaces&geo_location=United%20States&parse=true&access_token=12345abcde
```

{% endtab %}

{% tab title="PHP" %}

```php
<?php

$params = array(
    'source' => 'perplexity',
    'prompt' => 'top 3 smartphones in 2025, compare pricing across US marketplaces',
    'geo_location' => 'United States',
    'parse' => true
);

$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"
	"net/http"
)

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

	payload := map[string]interface{}{
		"source":       "perplexity",
		"prompt":       "top 3 smartphones in 2025, compare pricing across US marketplaces",
		"geo_location": "United States",
		"parse":        true,
	}

	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, _ := io.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 = "perplexity",
                prompt = "top 3 smartphones in 2025, compare pricing across US marketplaces",
                geo_location = "United States",
                parse = true
            };

            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", "perplexity");
        jsonObject.put("prompt", "top 3 smartphones in 2025, compare pricing across US marketplaces");
        jsonObject.put("geo_location", "United States");
        jsonObject.put("parse", true);

        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": "perplexity",
    "prompt": "top 3 smartphones in 2025, compare pricing across US marketplaces",
    "geo_location": "United States",
    "parse": true
}
```

{% endtab %}
{% endtabs %}

{% hint style="info" %}
**Observação:** A renderização de JavaScript está ativada por padrão para todas as fontes de LLM. Você não precisa incluir parâmetros de renderização no seu payload da requisição.
{% endhint %}

Usamos o método de integração síncrona [**Realtime**](/products/pt-br/web-scraper-api/integration-methods/realtime.md) em nossos exemplos. Se você quiser usar [**Proxy Endpoint**](/products/pt-br/web-scraper-api/integration-methods/proxy-endpoint.md) ou assíncrona [**Push-Pull**](/products/pt-br/web-scraper-api/integration-methods/push-pull.md) integração, consulte a [**seção de métodos de integração**](/products/pt-br/web-scraper-api/integration-methods.md) .

{% hint style="warning" %}
B**atch requests** estão atualmente **não são suportadas** para a `Perplexity` fonte.&#x20;
{% endhint %}

### Parâmetros da requisição

Parâmetros básicos de configuração e preparação para extrair respostas do Perplexity.

<table><thead><tr><th width="222">Parâmetro</th><th width="350.3333333333333">Descrição</th><th>Valor padrão</th></tr></thead><tbody><tr><td><mark style="background-color:green;"><strong><code>source</code></strong></mark></td><td>Define o alvo do scraper. Use <code>Perplexity</code>.</td><td>–</td></tr><tr><td><mark style="background-color:green;"><strong><code>prompt</code></strong></mark></td><td>O prompt ou pergunta a enviar ao Perplexity. Deve ter menos de 8000 caracteres.</td><td>–</td></tr><tr><td><code>parse</code></td><td>Defina como <code>true</code> para dados JSON estruturados.</td><td><code>false</code></td></tr><tr><td><code>geo_location</code></td><td>Especifique um país a partir do qual rotear a requisição. <a href="/spaces/OBEE5GAZ3BuoLyZVZDxR/pages/2fe7e72e9705eef41616721aa733c03be0476970"><strong>Mais informações</strong></a>.</td><td>–</td></tr><tr><td><code>callback_url</code></td><td>URL para seu endpoint de callback. <a href="https://developers.oxylabs.io/products/web-scraper-api/integration-methods/push-pull"><strong>Mais informações</strong></a></td><td>–</td></tr></tbody></table>

&#x20;    \- parâmetro obrigatório

## Dados estruturados

Web Scraper API retorna um documento HTML ou um objeto JSON da saída do Perplexity, que contém dados estruturados da página de resultados.

<details>

<summary><code>Perplexity</code> saída estruturada</summary>

```json
{
  "results": [
    {
      "job_id": "7470032181138587649",
      "status_code": 200,
      "url": "https://www.perplexity.ai/search/915bee3e-2d59-48ba-8b19-701f527c9b60",
      "content": {
        "prompt_query": "best supplements for better sleep",
        "model": "turbo",
        "answer_results": [
          "Here are the most evidence-supported supplements people typically try for better sleep—plus who they're best for and key safety notes.",
          "Best-supported options (start here)",
          ...
        ],
        "answer_results_md": "\nHere are the most evidence-supported supplements people typically try for better sleep—plus who they're best for and key safety notes.\n\nBest-supported options (start here)\n-----------------------------------\n\n...",
        "additional_results": {
          "sources_results": [
            {
              "title": "Best Supplements and Habits for Better Sleep (20 min.)",
              "url": "https://coopercomplete.com/blog/best-supplements-for-better-sleep/"
            },
            {
              "title": "Sleep Better With These 9 Sleep Supplements",
              "url": "https://drruscio.com/sleep-supplements/"
            },
            {
              "title": "10 Best Supplements for Sleep Support: A Dietitian's Picks",
              "url": "https://letsliveitup.com/blogs/supergreens/best-sleep-supplements"
            },
            ...
          ]
        },
        "related_queries": [
          "Which sleep aids have the strongest evidence in adults",
          "How to cycle supplements for sleep without tolerance",
          "What are safest melatonin dosing guidelines for adults",
          "Lifestyle tweaks to maximize sleep while using supplements"
        ],
        "displayed_tabs": [
          "Answer",
          "Links",
          "Images"
        ],
        "url": "https://www.perplexity.ai/search/915bee3e-2d59-48ba-8b19-701f527c9b60",
        "parse_status_code": 12000
      }
    }
  ]
}
```

</details>

### Dicionário de dados de saída

#### **Exemplo de HTML**

<div data-full-width="false"><figure><img src="/files/0378465a99117bc49dfb321cebe5c59d208d43ab" alt=""><figcaption></figcaption></figure></div>

#### **Estrutura JSON**

Todos os destinos de LLM retornam o mesmo envelope de nível superior `job` e `results[]` envelope. Veja [LLMs e IA](/api-targets/pt-br/llms-e-ia.md) para a referência completa de metadados.

A tabela a seguir mostra os campos específicos do Perplexity `results[].content` campos:

{% hint style="info" %}
O número de itens e campos para um tipo específico de resultado pode variar dependendo do prompt enviado.
{% endhint %}

<table><thead><tr><th width="171">Campo</th><th width="408">Descrição</th><th>Tipo</th></tr></thead><tbody><tr><td><code>prompt_query</code></td><td>Prompt ou consulta de busca enviada.</td><td>cadeia de caracteres</td></tr><tr><td><code>model</code></td><td>Modelo do Perplexity usado para a resposta (por exemplo, <code>turbo</code>).</td><td>cadeia de caracteres</td></tr><tr><td><code>answer_results</code></td><td>Resposta gerada como árvore JSON em Markdown.</td><td>array</td></tr><tr><td><code>answer_results_md</code></td><td>Resposta gerada em Markdown</td><td>cadeia de caracteres</td></tr><tr><td><mark style="background-color:yellow;"><code>additional_results</code></mark></td><td>Elementos de UI agrupados. <code>sources_results</code> – lista de fontes da web usadas pelo Perplexity (<code>title</code> e <code>url</code>). Pode incluir <code>images_results</code>, <code>hotels_results</code>, <code>places_results</code>, <code>videos_results</code>, e <code>shopping_results</code>.</td><td>objeto</td></tr><tr><td><mark style="background-color:yellow;"><code>top_images</code></mark></td><td>Resultados de imagem do Perplexity na aba "Images". Os objetos incluem <code>url</code> e <code>title</code>.</td><td>array</td></tr><tr><td><mark style="background-color:yellow;"><code>top_sources</code></mark></td><td>Resultados de fontes mais bem ranqueadas do Perplexity. Os objetos incluem <code>url</code>, <code>title</code>, e <code>source</code>.</td><td>array</td></tr><tr><td><mark style="background-color:yellow;"><code>inline_products</code></mark></td><td>Resultados de compras acionados por consultas relacionadas a produtos.</td><td>array</td></tr><tr><td><mark style="background-color:yellow;"><code>related_queries</code></mark></td><td>Perguntas de acompanhamento sugeridas pelo Perplexity.</td><td>array de cadeias de caracteres</td></tr><tr><td><code>displayed_tabs</code></td><td>Abas de UI visíveis na página analisada (por exemplo, Answer, Links, Images).</td><td>array de cadeias de caracteres</td></tr><tr><td><code>url</code></td><td>A URL da página de busca do Perplexity para esta consulta.</td><td>cadeia de caracteres</td></tr><tr><td><code>parse_status_code</code></td><td><code>12000</code> – bem-sucedido. Caso contrário, o parser falhou ao extrair alguns ou todos os campos estruturados.</td><td>inteiro</td></tr></tbody></table>

&#x20;    – condicional, retornado apenas quando o conteúdo está na resposta do LLM.

#### Resultados adicionais e produtos embutidos

Junto com a resposta principal da IA, retornamos dados extras em `additional_results`, como

* `sources_results`
* `images_results`
* `shopping_results`
* `videos_results`
* `places_results`
* `hotels_results`

Esses arrays são extraídos das abas da página original de resultados e são incluídos apenas se houver conteúdo relevante disponível:

<figure><img src="/files/e8e8c311eed0604235aa7fb4e804f7c0eb278748" alt=""><figcaption></figcaption></figure>

O `inline_products` O array também contém produtos que estão diretamente incorporados na resposta:

<figure><img src="/files/3257210698eb93b57160a590db6e92beb79e3558" alt=""><figcaption></figcaption></figure>


---

# 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/pt-br/llms-e-ia/perplexity.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.
