Perplexity

Extract Perplexity responses by submitting prompts, with parsed data including answer text, Markdown output, related queries, cited sources, images, inline products, and more.

The perplexity source lets you submit a prompt and receive a fully parsed, structured response, including the formatted answer, web sources used, related queries, and displayed UI tabs. Product-related prompts can return shopping results and inline product listings.

Request samples

The code examples below illustrate how to send prompts to Perplexity using Push-Pull.

cURL

curl 'https://data.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,
        "callback_url": "https://your-server.com/oxylabs-callback"
    }'

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,
    'callback_url': 'https://your-server.com/oxylabs-callback'
}

# Get a response.
response = requests.post(
    'https://data.oxylabs.io/v1/queries',
    auth=('USERNAME', 'PASSWORD'),
    json=payload
)

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

Node.js

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,
    callback_url: "https://your-server.com/oxylabs-callback"
};

const options = {
    hostname: "data.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();

PHP

<?php

$params = array(
    'source' => 'perplexity',
    'prompt' => 'top 3 smartphones in 2025, compare pricing across US marketplaces',
    'geo_location' => 'United States',
    'parse' => true,
    'callback_url' => 'https://your-server.com/oxylabs-callback'
);

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, "https://data.oxylabs.io/v1/queries");
curl_setopt($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);

Golang

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,
		"callback_url": "https://your-server.com/oxylabs-callback",
	}

	jsonValue, _ := json.Marshal(payload)

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

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

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

C#

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,
                callback_url = "https://your-server.com/oxylabs-callback"
            };

            var client = new HttpClient();

            Uri baseUri = new Uri("https://data.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);
        }
    }
}

Java

package org.example;

import okhttp3.*;
import org.json.JSONArray;
import org.json.JSONObject;

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);
        jsonObject.put("callback_url", "https://your-server.com/oxylabs-callback");

        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)
                .build();

        var mediaType = MediaType.parse("application/json; charset=utf-8");
        var body = RequestBody.create(jsonObject.toString(), mediaType);
        var request = new Request.Builder()
                .url("https://data.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();
    }
}

JSON

{
    "source": "perplexity",
    "prompt": "top 3 smartphones in 2025, compare pricing across US marketplaces",
    "geo_location": "United States",
    "parse": true,
    "callback_url": "https://your-server.com/oxylabs-callback"
}

Note: JavaScript rendering is enabled by default for all LLM sources. You do not need to include rendering parameters in your request payload.

Submitting a job with Push-Pull integration (including batch queries) method returns the job ID immediately – not the result. Once the job status is done, retrieve the parsed response. See Integration method on the LLMs and AI page for the full submit-and-retrieve flow.

Request parameters

Basic setup and configuration parameters for scraping Perplexity responses.

Parameter	Description	Default Value
source	Sets the scraper target. Use perplexity.	–
prompt	The prompt or question to submit to Perplexity. Must be under 8000 characters.	–
callback_url	Recommended. URL where we deliver a notification once the job completes. More info.	–
parse	Set to true for structured JSON data.	false
geo_location	Specify a country to route the request from. More info.	–
browser_instructions	Optional custom browser instructions when rendering JavaScript. More info.	–

- mandatory parameter

Structured data

Once the job is retrieved via the Push-Pull results endpoint, Web Scraper API returns either an HTML document or a JSON object of Perplexity's output, which contains structured data from the results page.

perplexity structured output

{
  "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
      }
    }
  ]
}

Output data dictionary

HTML example

JSON structure

All LLM targets return the same top-level job and results[] envelope. See LLMs and AI for the full metadata reference.

The following table shows Perplexity-specific results[].content fields:

The number of items and fields for a specific result type may vary depending on the submitted prompt.

Field	Description	Type
prompt_query	Submitted prompt or search query.	string
model	Perplexity model used for the response (e.g., turbo).	string
answer_results	Generated answer as Markdown JSON tree.	array
answer_results_md	Generated answer in Markdown	string
additional_results	Grouped UI elements. sources_results – list of web sources Perplexity used (title and url). Can include images_results, hotels_results, places_results, videos_results, and shopping_results.	object
top_images	Perplexity image results on the "Images" tab. Objects include url and title.	array
top_sources	Perplexity top-ranked source results. Objects include url, title, and source.	array
inline_products	Shopping results triggered by product-related queries.	array
related_queries	Suggested follow-up questions by Perplexity.	array of strings
displayed_tabs	UI tabs visible on the parsed page (e.g., Answer, Links, Images).	array of strings
url	The URL of the Perplexity search page for this query.	string
parse_status_code	12000 – successful. Otherwise, parser failed to extract some or all structured fields.	integer

– conditional, returned only when content is in the LLM's response.

Additional results and inline products

Along with the main AI response, we return extra data under additional_results, such as

• sources_results
• images_results
• shopping_results
• videos_results
• places_results
• hotels_results

These arrays are extracted from the tabs on the original results page and are included only if relevant content is available:

The inline_products array also contains products that are directly embedded in the response: