#!/usr/bin/env python from datetime import datetime from time import time from lxml import html,etree from reviews_final import scrape, write_in_csv import pandas as pd import requests,re import os,sys import unicodecsv as csv import argparse import numpy as np import json def clean(text): if text: # Removing \n \r and \t return ' '.join(''.join(text).split()).strip() return None def parse(locality,checkin_date,checkout_date,sort): checkIn = checkin_date.strftime("%Y/%m/%d") checkOut = checkout_date.strftime("%Y/%m/%d") print ("Scraper Inititated for Locality:%s"%locality) header = { 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.81 Safari/537.36' } # TA rendering the autocomplete list using this API print ("Finding search result page URL") geo_url = 'https://www.tripadvisor.com/TypeAheadJson?action=API&startTime='+str(int(time()))+'&uiOrigin=GEOSCOPE&source=GEOSCOPE&interleaved=true&types=geo,theme_park&neighborhood_geos=true&link_type=hotel&details=true&max=12&injectNeighborhoods=true&query='+locality api_response = requests.get(geo_url,headers=header, timeout=120).json() #getting the TA url for th equery from the autocomplete response url_from_autocomplete = "http://www.tripadvisor.com"+api_response['results'][0]['url'] print ('URL found %s'%url_from_autocomplete) geo = api_response['results'][0]['value'] #Formating date for writing to file a=url_from_autocomplete b=a.split("-") s="-" c=s.join([b[0],b[1],"oa30",b[2],b[3]]) d=s.join([b[0],b[1],"oa60",b[2],b[3]]) e=s.join([b[0],b[1],"oa90",b[2],b[3]]) f=s.join([b[0],b[1],"oa120",b[2],b[3]]) urllist = [a,c,d,e,f] date = checkin_date.strftime("%Y_%m_%d")+"_"+checkout_date.strftime("%Y_%m_%d") #form data to get the hotels list from TA for the selected date form_data = {'changeSet': 'TRAVEL_INFO', 'showSnippets': 'false', 'staydates':date, 'uguests': '2', 'sortOrder':sort } json_arr = [] for url_from_autocomplete in urllist: print(url_from_autocomplete) headers = { 'Accept': 'text/javascript, text/html, application/xml, text/xml, */*', 'Accept-Encoding': 'gzip,deflate', 'Accept-Language': 'en-US,en;q=0.5', 'Cache-Control': 'no-cache', 'Connection': 'keep-alive', 'Content-Type': 'application/x-www-form-urlencoded; charset=utf-8', 'Host': 'www.tripadvisor.com', 'Pragma': 'no-cache', 'Referer': url_from_autocomplete, 'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:28.0) Gecko/20100101 Firefox/28.0', 'X-Requested-With': 'XMLHttpRequest' } cookies= {"SetCurrency":"USD"} print ("Downloading search results page") page_response = requests.post(url = url_from_autocomplete,data=form_data,headers = headers, cookies = cookies, verify=False) print ("Parsing results ") parser = html.fromstring(page_response.text) hotel_lists = parser.xpath('//div[contains(@class,"listItem")]//div[contains(@class,"listing collapsed")]') hotel_data = [] if not hotel_lists: hotel_lists = parser.xpath('//div[contains(@class,"listItem")]//div[@class="listing "]') for hotel in hotel_lists: XPATH_HOTEL_LINK = './/a[contains(@class,"property_title")]/@href' XPATH_REVIEWS = './/a[@class="review_count"]//text()' XPATH_RANK = './/div[@class="popindex"]//text()' XPATH_RATING = './/span[contains(@class,"ui_bubble_rating bubble_45")]/@alt' #update this code to get rating XPATH_RATING_2 = './/a[contains(@class,"ui_bubble_rating bubble_45")]/@alt' #update this code to get rating XPATH_HOTEL_NAME = './/a[contains(@class,"property_title")]//text()' XPATH_HOTEL_FEATURES = './/div[contains(@casls,"common_hotel_icons_list")]//li//text()' XPATH_HOTEL_PRICE = './/div[contains(@data-sizegroup,"mini-meta-price")]/text()' XPATH_VIEW_DEALS = './/div[contains(@data-ajax-preserve,"viewDeals")]//text()' XPATH_BOOKING_PROVIDER = './/div[contains(@data-sizegroup,"mini-meta-provider")]//text()' ##74 of 319 hotels in Lisbon#6 of 319 hotels in Lisbon XPATH_RATING_ORDER = './/span[contains(@class,"dekGp Ci _R S4 H3 MD")]//text()' XPATH_OFFICIAL_DESCRIPTION = '//div[contains(text(),"Description")]/following-sibling::div//span[contains(@class,"introText")]/text()' raw_booking_provider = hotel.xpath(XPATH_BOOKING_PROVIDER) raw_no_of_deals = hotel.xpath(XPATH_VIEW_DEALS) raw_hotel_link = hotel.xpath(XPATH_HOTEL_LINK) raw_no_of_reviews = hotel.xpath(XPATH_REVIEWS) raw_rank = hotel.xpath(XPATH_RANK) raw_rating = hotel.xpath(XPATH_RATING_2) raw_hotel_name = hotel.xpath(XPATH_HOTEL_NAME) raw_hotel_features = hotel.xpath(XPATH_HOTEL_FEATURES) raw_hotel_price_per_night = hotel.xpath(XPATH_HOTEL_PRICE) raw_rank_order = hotel.xpath(XPATH_RATING_ORDER) raw_official_description = parser.xpath(XPATH_OFFICIAL_DESCRIPTION) url = 'http://www.tripadvisor.com'+raw_hotel_link[0] if raw_hotel_link else None reviews = ''.join(raw_no_of_reviews).replace("reviews","").replace(",","") if raw_no_of_reviews else 0 rank = ''.join(raw_rank) if raw_rank else None rating = ''.join(raw_rating).replace('of 5 bubbles','').strip() if raw_rating else None name = ''.join(raw_hotel_name).strip() if raw_hotel_name else None hotel_features = ','.join(raw_hotel_features) #price_per_night = ''.join(raw_hotel_price_per_night).encode('utf-8').replace('\n','') if raw_hotel_price_per_night else None price_per_night = ''.join(raw_hotel_price_per_night).replace('\n','') if raw_hotel_price_per_night else None rank_order = ''.join(raw_rank_order) if raw_rank_order else None no_of_deals = re.findall("all\s+?(\d+)\s+?",''.join(raw_no_of_deals)) booking_provider = ''.join(raw_booking_provider).strip() if raw_booking_provider else None official_description = clean(raw_official_description) if no_of_deals: no_of_deals = no_of_deals[0] else: no_of_deals = 0 data = { 'hotel_name':name, 'url':url, 'locality':locality, 'reviews':reviews, 'rank':rank, 'tripadvisor_rating':rating, 'checkOut':checkOut, 'checkIn':checkIn, 'hotel_features':hotel_features, 'price_per_night':price_per_night, 'no_of_deals':no_of_deals, 'booking_provider':booking_provider, 'raw_rank': rank_order, 'desc':official_description } if data: print("Writing scraped data") json_arr.append(data) with open('data_file.json', 'w') as outfile: json.dump(json_arr, outfile) # hotel_data.append(data) # all_hotel.append(data) # #Referrer is necessary to get the correct response from TA if not provided they will redirect to home page # my_df=pd.DataFrame(all_hotel) # print(my_df['hotel_name']) return urllist