ChatGPT

通过提交提示提取 ChatGPT 回复，解析数据包括回复文本、Markdown 输出、引用、外部链接和 LLM 模型信息。

该 chatgpt source 允许您向 ChatGPT 提交提示，并接收完全解析的结构化响应，包括纯文本和 Markdown 答案、来源引用、模型使用的搜索查询，以及购物产品和广告。

请求示例

以下代码示例演示如何使用以下方式向 ChatGPT 提交提示 Push-Pull.

cURL

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

Python

import requests
from pprint import pprint

# 结构化载荷。
payload = {
    'source': 'chatgpt',
    'prompt': 'best supplements for better sleep',
    'parse': True,
    'geo_location': "United States",
    'callback_url': "https://your-server.com/oxylabs-callback"
}

# 获取响应。
response = requests.request(
    '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: "chatgpt",
    prompt: "best supplements for better sleep",
    解析：true,
    geo_location: "United States",
    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' => 'chatgpt',
    'prompt' => 'best supplements for better sleep',
    'parse' => true,
    'geo_location' => "United States",
    '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/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",
        "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, _ := ioutil.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 = "chatgpt",
                prompt = "best supplements for better sleep",
                parse = true,
                geo_location = "United States",
                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", "chatgpt");
        jsonObject.put("prompt", "best supplements for better sleep");
        jsonObject.put("parse", true);
        jsonObject.put("geo_location", "United States");
        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": "chatgpt",
        "prompt": "best supplements for better sleep",
        "parse": true,
        "geo_location": "United States",
        "callback_url": "https://your-server.com/oxylabs-callback"
}

注意： 所有 LLM 来源默认启用 JavaScript 渲染。您无需在请求负载中包含渲染参数。

使用以下方式提交作业 Push-Pull 集成（包括 批量查询) 方法会立即返回作业 ID，而不是结果。一旦作业状态为 done，即可获取解析后的响应。参见 集成方式 LLMs 和 AI 页面上的完整提交与检索流程。

请求参数

用于抓取 ChatGPT 的基本设置和自定义选项。

参数	描述	默认值
source	设置爬虫目标。使用 chatgpt.	–
prompt	要提交给 ChatGPT 的提示或问题。必须少于 4000 个字符。	–
callback_url	推荐。 作业完成后我们发送通知的 URL。 更多信息	–
搜索	设置为 true 用于网络搜索。	false
解析	设置为 true 用于结构化 JSON 结果。	false
geo_location	指定请求路由所在的国家/地区。 更多信息.	–
browser_instructions	渲染 JavaScript 时的可选自定义浏览器指令。 更多信息.	–

- 必填参数

结构化数据

一旦通过 Push-Pull 结果端点检索到作业，网页爬虫API 会返回包含 ChatGPT 输出的 HTML 或 JSON 对象，其中包含结果页各元素的结构化数据。

chatgpt 结构化输出

{
  "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
      }
    }
  ]
}

响应的组成可能会因查询是否来自 desktop 或 mobile 设备。

输出数据字典

HTML 示例

JSON 结构

所有 LLM 目标返回相同的顶层 作业 和 results[] 封装。参见 LLMs 和 AI 以查看完整的元数据参考。

下表显示 ChatGPT 特定的 results[].content 字段：

特定结果类型的项数和字段数可能因提交的提示而异。

字段	描述	类型
prompt	用于生成结果的已提交提示。	字符串
llm_model	用于该响应的特定 ChatGPT 模型（例如， gpt-4o).	字符串
response_text	来自 ChatGPT 的纯文本响应。	字符串
markdown_text	以 Markdown 格式呈现的 ChatGPT 响应。	字符串
markdown_json	Markdown 响应的结构化 JSON 表示。每个项包含 type 和 children.	数组
citations	响应来源引用列表。对象包含 title, url, text, description，以及 section.	数组
search_queries	模型用于收集信息的搜索查询。	字符串数组
links	用于内联来源链接详情的对象列表： url 和 text.	数组
shopping_products	包含产品详情的对象列表： price, title, rating, 货币, price_str，以及 thumbnail.	数组
ads	广告详情，包含 url, title, image_url, description，以及一个 advertiser_info 对象。	数组
ads.advertiser_info	包含广告主的对象 url, 姓名，以及 image_url	对象
parse_status_code	12000 – 成功。否则，解析器未能提取部分或全部结构化字段。	整数

– 条件返回，仅在内容出现在 LLM 响应中时返回。