File size: 8,159 Bytes
27cc973
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
#!/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()'  #<span class="dekGp Ci _R S4 H3 MD">#74 of 319 hotels in Lisbon</span><span class="dekGp Ci _R S4 H3 MD">#6 of 319 hotels in Lisbon</span>
            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