Simple Prompt-Based Integration
Send a prompt as a parameter and get the response back in a structured format.
Send any prompt to the ChatGPT Scraper API and get back clean structured JSON in seconds. No browser sessions, no manual parsing, no complex setup.
{
"conversation": [
{
"role": "user",
"message": "elon musk"
},
{
"role": "assistant",
"response": [
{
"type": "paragraph",
"text": "Elon Musk is a billionaire entrepreneur best known for leading Tesla, SpaceX, and several other technology companies ..."
},
{
"type": "bullet_list",
"items": [
{
"text": "Tesla, focuses on electric vehicles and clean energy."
},
{
"text": "SpaceX, develops rockets and spacecraft for space travel."
},
{
"text": "xAI, builds artificial intelligence products."
}
]
}
]
}
]
}import requests
api_key = "5eaa61a6e562fc52fe763tr516e4653"
url = "https://api.scrapingdog.com/chatgpt"
params = {
"api_key": api_key,
"prompt": "elon musk"
}
response = requests.get(url, params=params)
if response.status_code == 200:
data = response.json()
print(data)
else:
print(f"Request failed with status code: {response.status_code}")import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.io.IOException;
public class Main {
public static void main(String[] args) {
try {
// Set the API key and request parameters
String apiKey = "5eaa61a6e562fc52fe763tr516e4653";
String prompt = "elon musk";
// Construct the API endpoint URL
String apiUrl = "https://api.scrapingdog.com/chatgpt?api_key=" + apiKey
+ "&prompt=" + prompt;
URL url = new URL(apiUrl);
HttpURLConnection connection = (HttpURLConnection) url.openConnection();
connection.setRequestMethod("GET");
int responseCode = connection.getResponseCode();
if (responseCode == 200) {
BufferedReader reader = new BufferedReader(new InputStreamReader(connection.getInputStream()));
String inputLine;
StringBuilder response = new StringBuilder();
while ((inputLine = reader.readLine()) != null) {
response.append(inputLine);
}
reader.close();
System.out.println(response.toString());
} else {
System.out.println("HTTP request failed with response code: " + responseCode);
}
connection.disconnect();
} catch (IOException e) {
e.printStackTrace();
}
}
}<?php
// Set the API key and request parameters
$api_key = '5eaa61a6e562fc52fe763tr516e4653';
$prompt = 'elon musk';
// Set the API endpoint
$url = 'https://api.scrapingdog.com/chatgpt?api_key=' . $api_key . '&prompt=' . $prompt;
// Initialize cURL session
$ch = curl_init($url);
// Set cURL options
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
// Execute the cURL request
$response = curl_exec($ch);
// Check if the request was successful
if ($response === false) {
echo 'cURL error: ' . curl_error($ch);
} else {
echo $response;
}
// Close the cURL session
curl_close($ch);require 'net/http'
require 'uri'
# Set the API key and request parameters
api_key = '5eaa61a6e562fc52fe763tr516e4653'
prompt = 'elon musk'
# Construct the API endpoint URL
url = URI.parse("https://api.scrapingdog.com/chatgpt?api_key=#{api_key}&prompt=#{prompt}")
# Create an HTTP GET request
request = Net::HTTP::Get.new(url)
# Create an HTTP client
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true # Enable SSL (https)
# Send the request and get the response
response = http.request(request)
# Check if the request was successful
if response.is_a?(Net::HTTPSuccess)
puts response.body
else
puts "HTTP request failed with code: #{response.code}, message: #{response.message}"
endconst axios = require('axios');
const api_key = '5eaa61a6e562fc52fe763tr516e4653';
const url = 'https://api.scrapingdog.com/chatgpt';
const params = {
api_key: api_key,
prompt: 'elon musk',
};
axios
.get(url, { params: params })
.then(function (response) {
if (response.status === 200) {
const data = response.data;
console.log(data);
} else {
console.log('Request failed with status code: ' + response.status);
}
})
.catch(function (error) {
console.error('Error making the request: ' + error.message);
});conversationrolemessageresponseresponsetypetextitemsparagraphbullet_listnumbered_listtextitemspromptroleuserassistantmessagechatgpt.com has no official bulk endpoint, so running prompts at scale means driving a logged-in browser yourself.
OpenAI gates ChatGPT behind chatgpt.com, so collecting answers in volume means automating the web UI with no public bulk API.
Every prompt needs a signed-in session with cookies and tokens that expire mid-run, so headless scripts stall.
Automated traffic hits Cloudflare turnstiles, "verify you are human" checks, and rate limits that block headless browsers fast.
The reply renders as nested HTML, so turning it into clean fields means brittle DOM scraping that breaks on every UI tweak.
With Scrapingdog, one API call sends your prompt and returns clean structured JSON. No sessions, no parsing.
Skip repetitive copy-paste work. Send your prompt as a parameter and collect responses directly through API calls.
The output is structured, so you can feed it directly into dashboards, AI workflows, research tools, or applications.
Whether you build with Make, Zapier, n8n, Python, or your own backend, run prompt-based workflows without managing manual ChatGPT interaction.
Test prompt ideas, content generation flows, and automation experiments much faster when the response is already available in JSON.
Send a prompt as a parameter and get the response back in a structured format.
Instead of messy, unstructured raw output, the API gives you clean data with response blocks like paragraphs and numbered lists.
Run prompts in bulk without manually opening ChatGPT, copying responses, or maintaining your own browser automation.
Scrapingdog manages ChatGPT interaction on the backend, so you never touch browser sessions, logins, or an OpenAI key.
Our infrastructure handles blocks and anti-bot protection automatically, so prompt requests go through without interruption.
A powerful, optimized infrastructure delivers reliable prompt responses every time, even at high volume.
Generate outlines, summaries, rewrites, or brainstorming outputs for blogs, landing pages, email sequences, and social content.
Build tools that send questions or prompts and collect structured answers for analysis, reporting, or team research.
Run multiple prompts across different use cases and compare outputs in a structured format without doing everything by hand.
Display ChatGPT prompt responses directly inside your SaaS dashboard, admin panel, or internal product.
Connect the ChatGPT Scraper API with no-code tools to build systems for summarization, categorization, or text enrichment.
Pass your meeting notes or raw data as a prompt and generate reports on a weekly or monthly schedule.
Sign up and get free credits to start testing the ChatGPT Scraper API.
Access your unique API key from the dashboard and use it to send prompts.
Call GET /chatgpt with your api_key and a prompt. No OpenAI key or login required.
Get back a conversation array with the answer split into typed blocks, ready to use.
Start your web scraping journey with 200 free credits. Test our service and upgrade to one of the plans below. Cancel anytime.

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Mexico
Their API success rate is 100% on the tests that I have done. The service seems very reliable.
Philippines
It returns structured conversation data in JSON format. The response includes the user prompt, assistant response, and response blocks such as paragraphs and numbered lists.
Yes. Scrapingdog handles all the ChatGPT interaction on the backend. You don't need your own OpenAI API key or a ChatGPT account to use our API, just your Scrapingdog API key is enough.
Yes. The API is well suited for automation tools, internal workflows, dashboards, and applications where you want prompt-based output in a structured format.
It returns structured response data, which is easier to parse and use than plain raw text.
Each API request consumes a certain number of credits based on the dedicated API you're using. For example, the ChatGPT Scraper API costs 30 credits per request.
Yes. Scrapingdog offers a free trial with 200 free credits and no credit card required on signup.
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