gistfile1.txt

#!/usr/bin/env python

import time
import json
import requests

class Scraper(object):
    def __init__(self):
        self.url = 'http://preowned.ferrari.com/vdata'
        self.session = requests.Session()
        self.headers = {
            'X-Requested-With': 'XMLHttpRequest',
        }
        self.payload = {
            'search': json.dumps({
                "sumname":"filtered",
                "return":"list",
                "summary_fields_dynamic":[
                    "make",
                    "sub_brand",
                    "class",
                    "model",
                    "body_type",
                    "price",
                    "odometer",
                    "metacolour",
                    "fuel",
                    "transmission",
                    "year",
                    "ranges",
                    "model_variant",
                    "equipment_meta"
                ],
                "tree_type":"cl_lp-mo_bo-lp",
                "currency_locale":"en_US",
                "distance_unit":"mi",
                "currency":"USD",
                "lang":"en_gb",
                "include_special_prices":"1",
                "equipment_meta_uncombined":"1",
                "project":{
                    "ids.vin":"",
                    "ids.oracle_id":"",
                    "main_info.approved":"",
                    "main_info.make":"",
                    "main_info.reg_year":"",
                    "main_info.model":"",
                    "main_info.seo_url":"",
                    "main_info.price_special":"",
                    "dealer.dealer_url":"",
                    "dealer.phone":"",
                    "dealer.email":"",
                    "dealer.name":"",
                    "dealer.postcode":"",
                    "dealer.country":"",
                    "dealer.line_address":"",
                    "dealer.cms_id":"",
                    "dealer.code":"",
                    "dealer.town":"",
                    "translations.default.year_make_model":"",
                    "translations.default.price_formated":"",
                    "translations.default.colour_with_trim":"",
                    "translations.default.odometer":"",
                    "translations.default.fuel_string":"",
                    "translations.default.interior":"",
                    "translations.default.body_type":"",
                    "translations.default.capacity_string":"",
                    "translations.default.transmission":"",
                    "translations.default.colour":"",
                    "images.count":"",
                    "images.list_430.img_1":"",
                    "images.list_430.img_2":""
                },
                "order":[
                    "priced"
                ],
                "market":[
                    "ferrari united states"
                ],
                "hits":{
                    "to":6
                }
            }),
            'totals_search': json.dumps({
                "sumname":"unfiltered",
                "return":"count",
                "summary_fields_dynamic":[
                    "make",
                    "sub_brand",
                    "class",
                    "model",
                    "body_type",
                    "price",
                    "odometer",
                    "metacolour",
                    "fuel",
                    "transmission",
                    "year",
                    "ranges",
                    "model_variant",
                    "equipment_meta"
                ],
                "tree_type":"cl_lp-mo_bo-lp",
                "currency_locale":"en_US",
                "distance_unit":"mi",
                "currency":"USD",
                "lang":"en_gb",
                "include_special_prices":"1",
                "equipment_meta_uncombined":"1",
                "market":[
                    "ferrari united states"
                ]
            }),
            'timestamp': int(time.time())
        }
        
        
    def scrape(self):
        resp = self.session.post(self.url, headers=self.headers, data=self.payload)
        data = resp.json()

        print json.dumps(data, indent=2)

if __name__ == '__main__':
    scraper = Scraper()
    scraper.scrape()