-
Notifications
You must be signed in to change notification settings - Fork 2
/
huawei_crawler.py
144 lines (126 loc) · 4.94 KB
/
huawei_crawler.py
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
# -*- coding: utf-8 -*-
import os
import requests
from lxml import html, etree
from bs4 import BeautifulSoup
base = 'https://wuhan.esf.fang.com/'
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
def save_text(text, filename, path):
fpath = os.path.join(path, filename)
with open(fpath, 'w') as f:
print('output:', fpath)
f.write(text)
def read_info(page):
prefix = "./temp/temp_"
filename = prefix + str(page)
with open(filename, 'r') as f:
res = f.read()
return res
def crawl(url,page):
resp = requests.get(url, headers=headers)
content = resp.text
html_file = "temp_" + str(page) # + ".html"
save_text(content, filename=html_file, path='temp')
decode_html(content, page)
def decode_html(content, page):
soup = BeautifulSoup(content,"lxml")
# houses = soup.select("#body > div.container.body-content > div.main1200.clearfix > div.main945.floatl > div.shop_list.shop_list_4 ")
decode_file = "fang_page_" + str(page)
# save_text(str(speaker), filename=decode_file, path='download')
res = []
# print(houses)
# for selector in houses:
for index in range(3,63):
if index < 10:
index = "0" + str(index)
else:
index = str(index)
# print index
selector = '#kesfqbfylb_A01_01_' + index
# print(selector == '#kesfqbfylb_A01_01_03')
# print(type(index))
# selector = '#kesfqbfylb_A01_01_03'
# print(selector)
house = soup.select(selector)
# print(house)
html = etree.fromstring(str(house[0]))
title = html.xpath("//dd[1]/h4/a/span/text()")
types = html.xpath("//dd[1]/p[1]/text()[1]")
area = html.xpath("//dd[1]/p[1]/text()[2]")
floor = html.xpath("//dd[1]/p[1]/text()[3]")
direction = html.xpath("//dd[1]/p[1]/text()[4]")
year = html.xpath("//dd[1]/p[1]/text()[5]")
total_price = html.xpath("//dd[2]/span[1]/b/text()")
price_per_sqr = html.xpath("//dd[2]/span[2]/text()")
address = html.xpath("//dd[1]/p[2]/span/text()")
community = html.xpath("//dd[1]/p[2]/a/@title")
# txt = read_info(page)
# print(type(txt))
# html = etree.fromstring(txt)
# prefix = '//*[@id="kesfqbfylb_A01_01_"'
# title_xpath = prefix + index + '"]/dd[1]/h4/a/span'
# type_xpath = prefix + index + '"]/dd[1]/p[1]/text()[1]'
# area_xpath = prefix + index + '"]/dd[1]/p[1]/text()[2]'
# floor_xpath = prefix + index + '"]/dd[1]/p[1]/text()[3]'
# direction_xpath = prefix + index + '"]/dd[1]/p[1]/text()[4]'
# year_xpath = prefix + index + '"]/dd[1]/p[1]/text()[5]'
# total_price_xpath = prefix + index + '"]/dd[2]/span[1]/b'
# price_per_sqr_xpath = prefix + index + '"]/dd[2]/span[2]'
# address_xpath = prefix + index + '"]/dd[1]/p[2]/span'
# community_xpath = prefix + index + '"]/dd[1]/p[2]/a/@title'
# title = html.xpath(title_xpath)
# types = html.xpath(type_xpath)
# area = html.xpath(area_xpath)
# floor = html.xpath(floor_xpath)
# direction = html.xpath(direction_xpath)
# year = html.xpath(year_xpath)
# total_price = html.xpath(total_price_xpath)
# price_per_sqr = html.xpath(price_per_sqr_xpath)
# address = html.xpath(address_xpath)
# community = html.xpath(community_xpath)
result = {
"标题" : title,
"户型" : types,
"面积" : area,
"楼层" : floor,
"朝向": direction,
"年份": year,
"总价": total_price,
"单价": price_per_sqr,
"地址": address,
"小区": community
}
res.append(result)
fang_info = "fang_page_" + str(page)
save_text(str(res), filename=fang_info, path='download')
#kesfqbfylb_A01_01_03 > dd:nth-child(2) > h4 > a > span
#kesfqbfylb_A01_01_62 > dd:nth-child(2) > h4 > a > span
#kesfqbfylb_A01_01_62 > dd:nth-child(2) > h4 > a > span
# 标题 //*[@id="kesfqbfylb_A01_01_62"]/dd[1]/h4/a/span
#
# 户型 //*[@id="kesfqbfylb_A01_01_62"]/dd[1]/p[1]/text()[1]
#
# 面积 //*[@id="kesfqbfylb_A01_01_62"]/dd[1]/p[1]/text()[2]
#
# 楼层 //*[@id="kesfqbfylb_A01_01_62"]/dd[1]/p[1]/text()[3]
#
# 朝向 //*[@id="kesfqbfylb_A01_01_62"]/dd[1]/p[1]/text()[4]
#
# 年份 //*[@id="kesfqbfylb_A01_01_62"]/dd[1]/p[1]/text()[5]
#
# 总价 //*[@id="kesfqbfylb_A01_01_62"]/dd[2]/span[1]/b
#
# 单价 //*[@id="kesfqbfylb_A01_01_62"]/dd[2]/span[2]
#
# 地址 //*[@id="kesfqbfylb_A01_01_62"]/dd[1]/p[2]/span
#
# 小区 //*[@id="kesfqbfylb_A01_01_62"]/dd[1]/p[2]/a/@title
# 爬首页
# crawl("https://wuhan.esf.fang.com/house-a013126", "1")
#
# # 循环,把第2-100页全部爬下来
# page = 2
# while page < 101:
# url = 'https://wuhan.esf.fang.com/house-a013126/i3'+str(page)
# crawl(url, page)
# page = page + 1