关于python爬取携程酒店评论信息

关于python爬取携程酒店评论信息

代码部分

pin.py
# -*- coding: utf-8 -*-
import scrapy, re, time, json, requests
from lxml import etree
from pinlun.city import city_t
from pinlun.items import PinlunItem

class PinSpider(scrapy.Spider):
name = "pin"
allowed_domains = []
start_urls = (
'http://hotels.ctrip.com/',
)

def __init__(self, category=None, *args, **kwargs):
super(PinSpider, self).__init__(*args, **kwargs)
self.start_urls = [category]

# def parse(self, response):
#     # 遍历获取所有的城市以及链接 t为city.py中获取到的总列表["北京","Beijing1"]
#     for i in city_t():
#         # 拼接url
#         """http://hotels.ctrip.com/domestic/hotel/Beijing1"""
#         url = "http://hotels.ctrip.com/domestic/hotel/" + i[1]
#         # 获取城市名称
#         city = i[0]
#         yield scrapy.Request(url=url, callback=self.parses, meta={"city": city})

def parse(self, response):
print(response.url)
pages = response.xpath('//span[@class="c_page_ellipsis"]/following-sibling::a[1]/text()').extract_first()
try:
for page in range(1, int(pages)+1):
if response.xpath('//a[@class="c_down"]'):
print("进入循环")
time.sleep(0.05)
cityId = re.sub(r"[a-zA-Z.?//=:]", "", response.url)
postData = {"page":str(page), "cityId": str(cityId)}
url = "http://hotels.ctrip.com/Domestic/Tool/AjaxHotelList.aspx"
yield scrapy.FormRequest(url=url, method="POST", formdata=postData, callback=self.parse_one, meta={"city":response.meta["city"]})
except Exception as f:
print("没有酒店", pages, "**"*20)

def parse_one(self, response):
body = response.body
b = json.loads(body)
resp = b["hotelPositionJSON"]
for res in resp:
item = PinlunItem()
item["url_id"] = res["id"]
item["city"] = response.meta["city"]
item["name"] = res["name"]
item["link"] = "http://hotels.ctrip.com/domestic" + res["url"]
url = "http://hotels.ctrip.com/international/tool/AjaxHotelComment.aspx?hotel=" + str(res["id"])
yield scrapy.Request(url=url, callback=self.parse_two, meta={"items": item, "ids": res["id"]})

def parse_two(self, response):
body = json.loads(response.body)
try:
pages = body["pageControl"]["LiteralLast"]
pages = etree.HTML(pages).xpath('//span/text()')[0]
print("-"*30, pages)
for page in range(2, int(pages)+1):
url = "http://hotels.ctrip.com/international/tool/AjaxHotelComment.aspx?hotel="+ str(response.meta["ids"])+"&p="+str(page)
yield scrapy.Request(url=url, callback=self.parse_three, meta={"items":response.meta["items"]})
except Exception as f:
print(f)

def parse_three(self, response):
body = json.loads(response.body)
for boy in body["commentView"]["CommentViews"]:
item = response.meta["items"]
item["Status"] = boy["Status"]
item["AppType"] = boy["AppType"]
item["CommentID"] = boy["CommentID"]
item["CommentType"] = boy["CommentType"]
item["UserIdentity"] = boy["UserIdentity"]
item["CommentDate"] = boy["CommentDate"]
item["Title"] = boy["Title"]
item["Room"] = boy["Room"]
item["RoomName"] = boy["RoomName"]
item["SourceName"] = boy["SourceName"]
item["Rating"] = boy["Rating"]
item["RatingRoom"] = boy["RatingRoom"]
item["RatingAtmosphere"] = boy["RatingAtmosphere"]
item["RatingService"] = boy["RatingService"]
item["RatingCostBenefit"] = boy["RatingCostBenefit"]
item["RatingDining"] = boy["RatingDining"]
item["RatingPrice"] = boy["RatingPrice"]
item["CommentContent"] = boy["CommentContent"]
item["RatingPosit"] = boy["RatingPosit"]
item["RatingPosit"] = boy["RatingPosit"]
item["RatingPosit"] = boy["RatingPosit"]
item["CommentPictures"] = boy["CommentPictures"]
print(item["CommentContent"])
yield item
items.py
# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html 
import scrapy

class PinlunItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
city = scrapy.Field()
name = scrapy.Field()
link = scrapy.Field()
url_id = scrapy.Field()
# 用户id
user_id = scrapy.Field()
# 各类评分 （多数评论没有）
types = scrapy.Field()
# 总评分 （多数评论没有）
score = scrapy.Field()
# 时间
times = scrapy.Field()
# 评论内容
comment = scrapy.Field()
# 出游人 情侣出游
people = scrapy.Field()
# 居住类型
live = scrapy.Field()
# 星级
star = scrapy.Field()
Status  = scrapy.Field()
AppType = scrapy.Field()
CommentID = scrapy.Field()
CommentType = scrapy.Field()
UserIdentity = scrapy.Field()
CommentDate = scrapy.Field()
Title = scrapy.Field()
Room = scrapy.Field()

RoomName = scrapy.Field()
SourceName = scrapy.Field()
Rating = scrapy.Field()
RatingRoom = scrapy
20000
.Field()
RatingAtmosphere = scrapy.Field()
RatingService = scrapy.Field()
RatingCostBenefit = scrapy.Field()
RatingDining  = scrapy.Field()
RatingPrice = scrapy.Field()
CommentContent = scrapy.Field()
RatingPosit = scrapy.Field()
# RatingPosit = scrapy.Field()
# RatingPosit = scrapy.Field()
CommentPictures = scrapy.Field()
piplines.py
# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html 
import json

class PinlunPipeline(object):
def open_spider(self, spider):
self.filename = open("city.csv", "w")

def process_item(self, item, spider):
# if item["only"] not in ONLYS:
content = json.dumps(dict(item), ensure_ascii=False) + ",\n"
self.filename.write(content)
return item

def close_spider(self, spider):
self.filename.close()

import pymongo
from scrapy.conf import settings
from scrapy.exceptions import DropItem
from scrapy import log

class MongoDBPipeline(object):
# def __init__(self):
#     connection=pymongo.MongoClient(
#         settings['MONGODB_SERVER'],
#         settings['MONGODB_PORT']
#     )
#     db=connection[settings['MONGODB_DB']]

def __init__(self):
# 链接数据库
self.client = pymongo.MongoClient(host=settings['MONGO_HOST'], port=settings['MONGO_PORT'])
# 数据库登录需要帐号密码的话
self.client.lxl.authenticate(settings['MONGO_USER'], settings['MONGO_PSW'])
self.db = self.client[settings['MONGO_DB']]  # 获得数据库的句柄
self.coll = self.db[settings['MONGO_COLL']]  # 获得collection的句柄
# self.collection=db['feng_four']

def process_item(self, item, spider):
valid=True
for data in item:
if not data:
valid=False
raise DropItem('Missing{0}!'.format(data))
if valid:
self.coll.insert(dict(item))
log.msg('question added to mongodb database!',
level=log.DEBUG,spider=spider)
return item
city.py
#coding:utf-8
# city = {"热门":[{"display":"北京","data":"Beijing北京1","group":"B"},{"display":"上海","data":"Shanghai上海2","group":"S"},{"display":"天津","data":"Tianjin天津3","group":"T"},{"display":"重庆","data":"Chongqing重庆4","group":"C"},{"display":"大连","data":"Dalian大连6","group":"D"},{"display":"青岛","data":"Qingdao青岛7","group":"Q"},{"display":"西安","data":"Xian西安10","group":"X"},{"display":"南京","data":"Nanjing南京12","group":"N"},{"display":"苏州","data":"Suzhou苏州14","group":"S"},{"display":"杭州","data":"Hangzhou杭州17","group":"H"},{"display":"厦门","data":"Xiamen厦门25","group":"X"},{"display":"成都","data":"Chengdu成都28","group":"C"},{"display":"深圳","data":"Shenzhen深圳30","group":"S"},{"display":"广州","data":"Guangzhou广州32","group":"G"},{"display":"三亚","data":"Sanya三亚43","group":"S"},{"display":"台北","data":"Taipei台北617","group":"T"},{"display":"香港","data":"Hong Kong香港58","group":"H"},{"display":"济南","data":"Jinan济南144","group":"J"},{"display":"宁波","data":"Ningbo宁波375","group":"N"},{"display":"沈阳","data":"Shenyang沈阳451","group":"S"},{"display":"武汉","data":"Wuhan武汉477","group":"W"},{"display":"郑州","data":"Zhengzhou郑州559","group":"Z"}],"ABCD":[{"display":"阿坝","data":"Abazhou阿坝1838","group":"A"},{"display":"阿克苏","data":"Aksu阿克苏173","group":"A"},{"display":"阿勒泰","data":"Aletai阿勒泰175","group":"A"},{"display":"阿里","data":"Ali阿里97","group":"A"},{"display":"阿拉善","data":"Alxa阿拉善7548","group":"A"},{"display":"安康","data":"Ankang安康171","group":"A"},{"display":"安庆","data":"Anqing安庆177","group":"A"},{"display":"鞍山","data":"Anshan鞍山178","group":"A"},{"display":"安顺","data":"Anshun安顺179","group":"A"},{"display":"安阳","data":"Anyang安阳181","group":"A"},{"display":"澳门","data":"Macau澳门59","group":"A"},{"display":"白城","data":"Baicheng白城1116","group":"B"},{"display":"百色","data":"Baise百色1140","group":"B"},{"display":"白沙","data":"Baisha白沙21025","group":"B"},{"display":"白山","data":"Baishan白山3886","group":"B"},{"display":"白银","data":"Baiyin白银1541","group":"B"},{"display":"保定","data":"Baoding保定185","group":"B"},{"display":"宝鸡","data":"Baoji宝鸡112","group":"B"},{"display":"保山","data":"Baoshan保山197","group":"B"},{"display":"保亭","data":"Baoting保亭54","group":"B"},{"display":"包头","data":"Baotou包头141","group":"B"},{"display":"巴彦淖尔","data":"Bayan 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import re
import sys
# reload(sys)
# sys.setdefaultencoding("utf-8")
def city_t():
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A = city["ABCD"]
E = city["EFGH"]
J = city["JKLM"]
N = city["NOPQRS"]
T = city["TUVWX"]
Y = city["YZ"]

# 所有的城市名称 "北京"
cit = []
# 所有的城市链接（未处理之前）"Beijing北京1"
data = []
# 所有的城市链接（处理之后）"Beijing1"
citys = []
# 城市以及链接总列表（最终需要的格式["北京","Beijing1"]）
t = []
for i in A:
cit.append(i["display"])
data.append(i["data"])
# print(i)

for i in E:
cit.append(i["display"])
data.append(i["data"])

for i in J:
cit.append(i["display"])
data.append(i["data"])

for i in N:
# print(i)
cit.append(i["display"])
data.append(i["data"])

for i in T:
# print(i)
cit.append(i["display"])
data.append(i["data"])

for i in Y:
# print(i)
cit.append(i["display"])
data.append(i["data"])

for i,n in zip(data,cit):
# a = re.findall(r"[a-zA-Z/D].*",i
# 将链接中的中文剃掉
a = i.replace(n,"")
citys.append(a)

for name,city in zip(cit, citys):
t.append([name,city])
# print(name,city)

# print(t)
return t

if __name__ == '__main__':
city_t()