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Full JSON Response

Have your response organised in a JSON response for easier integration with third party apps.
The default response body received from the WebScrapingAPI contains the plain HTML scraped from the targeted URL. This approach is ideal for HTML parsing, however it can be harder to integrate with third party apps thatb only accept JSON format. 
If you want WebScrapingAPI to organise the response in a JSON format, all you have to do is to add json_response=1 to your request. The format of the response will then be:
Element
Type
Description
headers
Object
key : value pair of haders received from the server.
cost
int
Credit usage of your request.
initial-status-code
int
Status code received from the server.
resolved-url
string
URL in case of redirects.
body
string
Scraped content.
type
string
Response type. Can be html , json or b64 (for files, images, PDFs etc.)
screenshot
string
base64 encrypted image.
cookies
Array
Array of cookies sent from the server.
xhr
Array
Array of XHR / Ajax requests sent by the browser durring scraping.
metadata
Object
Microdata and JSON-LD extracted from the HTML file.
Your full GET request should then be sent to the following address:
https://api.webscrapingapi.com/v1?api_key=<YOUR_API_KEY>&url=<TARGETED_URL>&json_response=1
This parameter is available both with JavaScript Rendering turned on (render_js=1) or off (render_js=0)
Full JSON Response Integration Examples
cURL
NodeJS
Python
PHP
Go
Java
.NET
Ruby
curl --request GET --url "https://api.webscrapingapi.com/v1?api_key=<YOUR_API_KEY>&url=https://httpbin.org/&render_js=1&screenshot=1&json_response=1&extract_rules=%7B%22paragraphs%22%3A%7B%22selector%22%3A%20%22p%22%2C%22output%22%3A%22html%22%7D%7D"
const http = require("https");
​
const options = {
  "method": "GET",
  "hostname": "api.webscrapingapi.com",
  "port": null,
  "path": "/v1?api_key=%7B%7Bapi_key%7D%7D&url=https://httpbin.org/&render_js=1&screenshot=1&json_response=1&extract_rules=%7B%22paragraphs%22%3A%7B%22selector%22%3A%20%22p%22%2C%22output%22%3A%22html%22%7D%7D",
  "headers": {}
};
​
const req = http.request(options, function (res) {
  const chunks = [];
​
  res.on("data", function (chunk) {
    chunks.push(chunk);
  });
​
  res.on("end", function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});
​
req.end();
import requests
​
API_KEY = '<YOUR_API_KEY>'
SCRAPER_URL = 'https://api.webscrapingapi.com/v1'
​
TARGET_URL = 'https://httpbin.org/'
​
PARAMS = {
    "api_key":API_KEY,
    "url": TARGET_URL,
    "screenshot":1,
    "render_js":1,
    "extract_rules":'{"paragraphs":{"selector": "p","output":"html"}}',
    "json_response":1
}
​
response = requests.get(SCRAPER_URL, params=PARAMS)
​
print(response)
<?php
​
$curl = curl_init();
​
curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.webscrapingapi.com/v1?api_key=%7B%7Bapi_key%7D%7D&url=https://httpbin.org/&render_js=1&screenshot=1&json_response=1&extract_rules=%7B%22paragraphs%22%3A%7B%22selector%22%3A%20%22p%22%2C%22output%22%3A%22html%22%7D%7D",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);
​
$response = curl_exec($curl);
$err = curl_error($curl);
​
curl_close($curl);
​
if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}
package main
​
import (
	"fmt"
	"net/http"
	"io/ioutil"
)
​
func main() {
​
	url := "https://api.webscrapingapi.com/v1?api_key=%7B%7Bapi_key%7D%7D&url=https://httpbin.org/&render_js=1&screenshot=1&json_response=1&extract_rules=%7B%22paragraphs%22%3A%7B%22selector%22%3A%20%22p%22%2C%22output%22%3A%22html%22%7D%7D"
​
	req, _ := http.NewRequest("GET", url, nil)
​
	res, _ := http.DefaultClient.Do(req)
​
	defer res.Body.Close()
	body, _ := ioutil.ReadAll(res.Body)
​
	fmt.Println(res)
	fmt.Println(string(body))
​
}
HttpResponse<String> response = Unirest.get("https://api.webscrapingapi.com/v1?api_key=%7B%7Bapi_key%7D%7D&url=https://httpbin.org/&render_js=1&screenshot=1&json_response=1&extract_rules=%7B%22paragraphs%22%3A%7B%22selector%22%3A%20%22p%22%2C%22output%22%3A%22html%22%7D%7D")
  .asString();
var client = new RestClient("https://api.webscrapingapi.com/v1?api_key=%7B%7Bapi_key%7D%7D&url=https://httpbin.org/&render_js=1&screenshot=1&json_response=1&extract_rules=%7B%22paragraphs%22%3A%7B%22selector%22%3A%20%22p%22%2C%22output%22%3A%22html%22%7D%7D");
var request = new RestRequest(Method.GET);
IRestResponse response = client.Execute(request);
require 'uri'
require 'net/http'
require 'openssl'
​
url = URI("https://api.webscrapingapi.com/v1?api_key=%7B%7Bapi_key%7D%7D&url=https://httpbin.org/&render_js=1&screenshot=1&json_response=1&extract_rules=%7B%22paragraphs%22%3A%7B%22selector%22%3A%20%22p%22%2C%22output%22%3A%22html%22%7D%7D")
​
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
http.verify_mode = OpenSSL::SSL::VERIFY_NONE
​
request = Net::HTTP::Get.new(url)
​
response = http.request(request)
puts response.read_body
Important! The url parameter has to be encoded. ( i.e. &url=https%3A%2F%2Fwww.webscrapingapi.com%2F )
Response Example
{
    "headers": {
        "access-control-allow-credentials": "true",
        "access-control-allow-origin": "*",
        "content-length": "9593",
        "content-type": "text/html; charset=utf-8",
        "date": "Fri, 23 Sep 2022 09:05:27 GMT",
        "server": "gunicorn/19.9.0"
    },
    "cost": 1,
    "initial-status-code": 200,
    "resolved-url": "https://httpbin.org/",
    "body": "{\"screenshot\":\"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAUxB4ADASIAAhEBAxEB/8QAHwABAAICAwEBAQEAAAAAAAAAAAgJBgcDBQoEAgsB/8QAWxABAAEEAwAABAMFAQcOCQcNAAUCAwQGAQcICREUFhITFQoXIVKT0iIkMTNXltUYGSMlMjQ5QVFYd5m31jU3OGFxdXmRtiY2mLO0uNhCVnR2eIGUobHB1Nfw/8QAHAEBAAIDAQEBAAAAAAAAAAAAAAIDAQQFBgcI/8QAQBEBAAICAgIBAgUCBAMFBgcBAAECAwQFERIhBhMxBxQiQVFhcRUygZEII0IWFzOhsSQlUsHh8Bg0U2JystHx/9oADAMBAAIRAxEAPwD3oAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8Ov7QT+z6cZPG7e7vB2j8cZPHEhtXobztqcdxxxk8ccXM2a7X6mg8G38uMrjj86Q3rQ46x8srj6jZdZxvqv1SLyvDC/uUPDt+0Ffs+v1f3v7v8IaR/fX+2G1+iPO+qR/++/8AGZs32x1PCYVv/ff+Okd70SOs/wB9/wB87NrON9X+qReXVavXuPt+8fx/9P8A0/t9jwwAIAAALI/h5fCk9ifE4m9+j/MunQl6A6zh7mdt+/73Ofamix81kR2fna5pdmY5w5DIkNu2u7gV4kZHR8fk40bTesym0ZsBB18SavCchJjWZqY1vYY3NhZ/X5SQhJyHkse5iSMTMRWXewJONz8W9TTexs3Azce/i5WPdppuWb9q5brp4qp544DqwAf3KAGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPDt+0Ffs+v1f3v7v8ACGkf31/thtfojzvqkf8A77/xmbN9sdTwmFb/AN9/46R3vRI6z/ff987NrON9X+qReX4YH9yh4fP2gn9n04kON293eDtH44kOOJDavQ3nbU47jjiQ444uZs12v1NB4Nv5cSPHH50hvWhx1j5SPH1Gy6zjfqP6pFyVVq9e4+37x/H/ANP/AE/t9jwtPUz+zW/Bt6+9/b3vXqL03B/dHmjonZcXS4Pry9dv48Z233Jcio7Y8qJ2a/iXLeTc0zr/AFyXgZqfgrd7Dq2WU2rVsPIycjX8TZIiTrt+AV1HEd2/Ft8faNP5sTYgeNo3japuNmbVjKxNpiNI6r3nbpLTa47JouY0rY2vDhr0HKR+RTzYvQmZKV3aL1u1VYu+qz9kz9NRkTqHr34fG6ajM9b9qdT947V3PC6nP4eZjZmDrmy2oHQdx0DO/Pw7VWJsvWe0aRi8yGLL37ctK4203a8DEu4urzNzCxWI7jv7T3Ef3jr7/wC/+49cnXvWHWvUmvWdR6p680brLVMaqivH1jr3UoDS9esV28exiW6rMLrcfGxtqq3iY2Ni0VUY1PNOPj2LNPPFu1bpp8PX7Qp+z11RFvuv4jPjSqaluM6a2nt/0z0Rk01ymTiVzklIbJ2B231bmWqPquInDysvK2XctCzreTxEx/M5sGtStmKwbOqYvu+cWRj2MuxfxcqxZycbJs3MfJxsi3ResZFi9RVbvWL9m5TVbu2btuqq3ct3KaqK6KqqaqeaeeeFs1iY6/2/oP4Wg9Y37T9rHwpupezNI6V8e9LaR17651vYb0p3/k9K4X2X1fqWnZkHdyofR9l0SJsY2jVdhTMhKx2yY2TqcbFyEBA4dzG2e9m0zsFix3k5UzHU9fwP7lAC8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeWv2z+zh/vN9w9Ye0vAve8R4q3L94ODvHbFuNhZHJx4TasWTx87I7M6dhoe3bjLGyzduuQ42jQ56/F6Pseberyb+XhY8tPYMh6kNS02F1DGzasHFwbs5O38OS3LaLcLAQ03vOx4sTHwt3atp51yKho7OnczAi8HHvZNrAx7NrHxsfDxLGNhY2Pj2uRVP8a/tn251B8PDuHcvB8HclO3I7jEs7ZOw+PfkN90Lp6/hSvG/b31lE2OK6pDd9et0RdWPfps5WVr8Bk7BtUXjVy8DH3bGOor3P8Ar/8A8HfSXxtfhwat657a8X9keiNT6p7U6jzomKlNj7GkI/Wuo5ybzIrCkJvWovtPKzedSi9o0rNzaYHa4Lbs/WsnHm7eRHRVUvlxs3YidSe//j9fD48RdZzsvr3dfXXpbui7G5FOi9L9G73ru+ZkjO3sO7eiqt72rVcucgOudapu84mRKZ03kVT9cVk05eu61sN6u1j1/wAnfPz86Vzs2UlM3LkpOSy8nPkZHPyb2ZnZ+dmXq8jLzc3LyK7mRlZeVkXLl/Jyb9y5ev3rld27XVXVVVz8ivzn+g2/6B7w3z0v3h2x6C7QzrEh2D3Jv2z9ibZfw7VePHWpfaJXJlL+BE4ly7fqwYWLpyKIyFwPzrtOBFYmHh0V1UWKeedQAgP7lADYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEKvbfvTo7wJpWnb73ni7zlQe8bTe1CFo0SAj9gz6ZWxE5czcqzceQnIK3YxPo8O7xTeov3q+b3NFH5PFPPNdM6Y75b1x46ze9p6rWPczP39f6Qxa0ViZtMREfeZ9RCaojX5L9V9YezuloTvnqCxtGPo8/LbBDYNrcInEhZ2nM1qUvxEjzkYGFJzGPbs1ZWPXzjV051zm7Z5prrot1c80cSUYvS1LWpes1tWZras+piY+8TH8wRMTETE9xMRMT/MT7iQBFkAAAABU362+Mx5D8Xd0S/RHcEf3Bk7vCw0BOZt3TtLhZqD5wtkj6JOOps5+dt8PfuX+Ma5T9Rb5waKbVz50U3LnHH4luLDlz28MOO2S0RNprWO58YmImf7RMx7/qja9aR3a0VjvrufUdytkHBi5FvMxcbLs/i/KyrFnItfj4/DV+Xft03aPxU/Pn5Vfhq4+fHz5+XPz4+fLnVJArA5+MF4c49U8ePvv7ZOe1eexqeoeJCnTZevRv3n1T3GrcaX9yU8c1/qP3LzxBVSH6d9v0yPztVTHFvjm7xZ+syYsuLx+pjvTzrFq+dZr5Vn7THcR3CNbVt342i3U9T1MT1P8SAK0gAAAAAAAAAAaa7+7u1Pzz1Xs3aW381X8KEsUWYyHsX7djO2PYM3mq1DwGBXcpucUX8/J4+d/I4s3+MCPs5snds3MfCvUvNl2Z8S/wBYb/OZ2dDb7+7iAu3+a43V9MjIjHtR1inn5W6Ls9mx2VsUlfro4p5yrmTJU4ly9+OvFj8G1X9PTu6mhn3ItbH41pWepveZiJt6ma1iItMzETEz6iIifv3MQ18+zjwdRbubTHcVr1M9fzPcxER/H89PVkPIB/q6fXX+Xve//wCLwv8A/Bb36W+KN6T672DBr7BnqO3dL/HRak4GfwYePmreNVcp5vZUPtEXGY0jRJUUcfK1TNVTEbVT+K3zh2blz6q3t24XZiszW+G8x/0xa0TP9Im1Yr3/AHmI/mYUV5DDMxE1vWJ/eYiYj+s9T31/aJ/s9RAxDQN61ns3S9Z7A06QolNZ22IxJqHzKeOKa6sbKo/FVYybXFVfOPnYd7i7hSGJXVzdw87HyMW9xxds18cZe5ExMTMTExMTMTE/eJj1MT/WJb0TExEx7iY7if5iQBhkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB4Wf2gr9n1/TPvf3f4Q0j/az/bDa/RHnfVI/wD8Gf4zNm+2Op4TCt/+DP8AHSO96JHWf9rP752bWcb9M/VIuM8Pr+5Q8LX7QP8As+dUfVu3u3wdpHzjuf1Ha/Q3nbVI/jjmO544u5032v1NCYVvj5x3PyvSG86FG2eao+rnI2TV8XmO5k4qNqtXr3H2/eP4/wDp/wCn9vseHwBAf3KAGwAAAAAAAAAAAAAAAAAAAAAAAAAAAADzI/tP3/ky+cP+naT/AOz+eem55kf2n7/yZfOH/TtJ/wDZ/PN/i/8A8/rf/wA5/wD6WUbP/gZP7R//AGhF34dPxh/LXgP4fnT3V+7Ye8dl9sZ+ydo7Fn6P1xgQ9/nVYqT37YKYm9t07PTMPGxWTK2cL6zDicLmWmuI/JwZPLjcWNkY7Ly7o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    "cookies": [],
    "evaluate_results": "{\"paragraphs\":[\"<p>A simple HTTP Request &amp; Response Service.\\n                                        <br>\\n                                        <br>\\n                                        <b>Run locally: </b>\\n                                        <code>$ docker run -p 80:80 kennethreitz/httpbin</code>\\n                                    </p>\"]}",
    "xhr": [],
    "metadata": {
        "microdata": {
            "items": []
        },
        "json-ld": []
    }
}
Element	Type	Description
`headers`	`Object`	`key` : `value` pair of haders received from the server.
`cost`	`int`	Credit usage of your request.
`initial-status-code`	`int`	Status code received from the server.
`resolved-url`	`string`	URL in case of redirects.
`body`	`string`	Scraped content.
`type`	`string`	Response type. Can be `html` , `json` or `b64` (for files, images, PDFs etc.)
`screenshot`	`string`	base64 encrypted image.
`cookies`	`Array`	Array of cookies sent from the server.
`xhr`	`Array`	Array of XHR / Ajax requests sent by the browser durring scraping.
`metadata`	`Object`	Microdata and JSON-LD extracted from the HTML file.
Extraction Rules
JSON DOM Response
Last modified 1yr ago