> 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/cn/llms-and-ai/chatgpt.md). # ChatGPT 通过提交提示词提取 ChatGPT 响应，并获取包含响应文本、Markdown 输出、引文、外部链接和 LLM 模型信息的解析后数据。 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**](/products/cn/web-scraper-api/integration-methods/push-pull.md). {% tabs %} {% tab title="cURL" %} ```bash 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" }' ``` {% endtab %} {% tab title="Python" %} ```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()) ``` {% 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", 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(); ``` {% endtab %} {% tab title="PHP" %} ```php '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); ``` {% 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", "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)) } ``` {% 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", 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); } } } ``` {% endtab %} {% tab title="Java" %} ```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(); } } ``` {% endtab %} {% tab title="JSON" %} ```json { "source": "chatgpt", "prompt": "best supplements for better sleep", "parse": true, "geo_location": "United States", "callback_url": "https://your-server.com/oxylabs-callback" } ``` {% endtab %} {% endtabs %} {% hint style="info" %} **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。 {% endhint %} 使用以下方式提交作业 [**Push-Pull**](/products/cn/web-scraper-api/integration-methods/push-pull.md) 集成（包括 [批量查询](/products/cn/web-scraper-api/integration-methods/push-pull.md#batch-query)) 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**](/api-targets/cn/llms-and-ai.md#integration-method) 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 ```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 } } ] } ```
{% hint style="warning" %} 响应的组成可能会因查询是否来自 **desktop** 或 **mobile** 设备。 {% endhint %} ### 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](/api-targets/cn/llms-and-ai.md) 以查看完整的元数据参考。 下表显示 ChatGPT 特定的 `results[].content` 字段： {% hint style="info" %} 特定结果类型的项数和字段数可能因提交的提示而异。 {% endhint %}
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_jsonMarkdown 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_code12000 – 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。 --- # 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/cn/llms-and-ai/chatgpt.md?ask=&goal= ``` `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.