forked from prefect12/PythonCrawler
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsxc.py
299 lines (239 loc) · 9.98 KB
/
sxc.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
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 7 23:48:40 2020
@author: Kade
Crawler for shixiseng
"""
# -*- coding:utf-8 -*-
import requests
from urllib.parse import urlencode
from bs4 import BeautifulSoup
import re
import pandas as pd
import time
class SXCCrawer:
def __init__(self):
self.setParams(keyword='爬虫',area='',months='',days='',degree='',official='',salary='',publishTime='',city=['全国'])
def HELP(self):
publishDic = {
'city':'职位发布时间',
'day':'今天发布',
'wek':'这周发布',
'mon':'三十天内发布'
}
monDic = {
'mon':'实习时间',
'1':'一个月',
'2':'两个月',
'3':'三个月',
'4':'三个月以上'
}
dayDic = {
'day':'一周工作天数',
'1':'1天',
'2':'2天',
'3':'3天',
'4':'4天',
'5':'5天',
'6':'6天以上'
}
degreeDic = {
'degree':'学历要求',
'大专':'大专',
'本科':'本科',
'硕士':'硕士',
'博士':'博士'
}
cityDic = {
'city':'工作城市',
'例子':'["武汉","北京"]'
}
keyDic = {
'keyword':'职位关键字',
'例子':'算法工程师/Python'
}
areaDic = {
'area':'城市区域',
'例子':'朝阳区'
}
salaryDic = {
'salary':'日薪',
'-0':'不限',
'0-100':'0-100',
'100-150':'100-150',
'150-200':'150-200',
'200-300':'200-300',
'300-':'300以上'
}
dicList = [keyDic,cityDic,areaDic,publishDic,monDic,dayDic,degreeDic,salaryDic]
for i in dicList:
for j in i:
print(j+':'+i[j])
print('\n')
def setParams(self,keyword='',area='',months='',days='',degree='',official='',salary='-0',publishTime='',city=''):
self.__params = {
'page':0,
'keyword':'',
'type':'intern',
'area':'',
'months':'',
'days':'',
'degree':'',
'official':'',
'enterprise':'',
'salary':'',
'publishTime':'',
'sortType':'',
'city':'',
'internExtend':''
}
self.__validation = {
'city':[''],
'keyword':[''],
'area':[''],
#发布时间
'publishTime':['day','wek','mon'],
#实习时长1个月，2个月，3个月，三个月以上
'mon':['1','2','3','4'],
#每周工作天数 1，2，3，4，5，6天以上
'days':['1','2','3','4','5','6'],
#学历要求
'degree':['大专','本科','硕士','博士'],
#日薪
'salary':['-0','0-100','100-150','150-200','200-300','300-']
}
translation = {
'keyword':'关键字',
'city':'城市',
'publishTime':'发布时间',
'mon':'实习时常',
'days':'每周工作天数',
'degree':'学历',
'salary':'日薪',
'area':'区域'
}
self.__params['keyword'] = keyword
self.__params['area'] = area
self.__params['months'] = months
self.__params['days'] = days
self.__params['degree'] = degree
self.__params['official'] = official
self.__params['salary'] = salary
self.__params['publishTime'] = publishTime
self.__params['city'] = city
print('当前抓取参数:')
for i in self.__params:
if i in self.__validation:
print(i + ':' + str(self.__params[i]))
print('\n')
def __createDF(self):
col_names = ['title', 'jobDescrib', 'companyName','companyIndustry','companyType','companyScal','companyTage','companyLocation','jobUrl']
df = pd.DataFrame(columns = col_names)
self.__params['city'] = self.__cities
path = './'+''.join([str(i) for i in self.__params.values()])+'.csv'
df.to_csv(path_or_buf = path,encoding='GBK',index=False)
return path
def __saveJob(self,jobUrl,path):
colNames = ['title','jobDescrib','companyName','companyIndustry','companyType','companyScal','companyTage','companyLocation','jobUrl']
df = pd.DataFrame(columns = colNames)
dic = {}
soup = self.__getSoup(jobUrl)
try:
title = soup.find(class_='new_job_name').get('title')
jobDescrib = soup.find(class_='job_detail').text.replace('\n',' ').replace('\t',' ')
jobDescrib = re.sub(' +',' ',jobDescrib)
companyName = soup.find(class_='com-name').text.replace('\n','')
compDatil = list(soup.find(class_='com-detail').children)
lenght = len(compDatil)
except Exception as e:
print(e)
return
companyIndustry = compDatil[1].text.replace('\n',' ').replace('/',' ') if lenght > 2 else ''
companyType = compDatil[3].text if lenght > 4 else ''
companyScal = compDatil[5].text.replace('\n',' ') if lenght > 6 else ''
companyTage = soup.find(class_='com-tags').text.replace('\n',' ')
companyLocation = compDatil[7].text.replace('\n',' ') if lenght > 8 else ''
dic['title'] = title
dic['jobDescrib'] = jobDescrib
dic['companyName'] = companyName
dic['companyIndustry'] = companyIndustry
dic['companyType'] = companyType
dic['companyScal'] = companyScal
dic['companyTage'] = companyTage
dic['companyLocation'] = companyLocation
dic['jobUrl'] = jobUrl
df = df.append(dic,ignore_index=True)
try:
df.to_csv(path_or_buf = path, mode="a+",index=False,header=None,encoding="GB18030")
except Exception as e:
print(e)
print('写入失败')
print(dic['title'],dic['companyName'])
time.sleep(0.5)
def __getJobFromPage(self,soup):
if not soup: return []
jobList = []
allJob = soup.find_all(class_=['intern-wrap intern-item','intern-wrap intern-item is-view'])
for job in allJob:
jobList.append(job.find(class_='title ellipsis font').get('href'))
return jobList
def __getUrlList(self,soup):
def getPage(soup):
pages = soup.find_all(class_='number')
temp = []
for i in pages:
temp.append(i.text)
return max(map(int,temp))
numPage = getPage(soup)
urlList = []
for i in range(1,numPage+1):
tempUrl = self.__getUrl(page=str(i))
urlList.append(tempUrl)
return urlList
def __getUrl(self,page=1):
baseUrl = 'https://www.shixiseng.com/interns?'
self.__params['page'] = page
url = baseUrl + urlencode(self.__params)
return url
def __getSoup(self,baseUrl):
headers = {
'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'zh-CN,zh;q=0.9,en-AU;q=0.8,en;q=0.7',
'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36',
'referer': 'https://www.shixiseng.com/interns?page=1&keyword=%E7%88%AC%E8%99%AB&type=intern&area=&months=&days=°ree=&official=&enterprise=&salary=-0&publishTime=&sortType=&city=%E5%8C%97%E4%BA%AC&internExtend='
}
try:
r = requests.get(baseUrl,headers=headers)
r.encoding = 'utf-8'
content = BeautifulSoup(r.text,"html.parser")
return content
except Exception as e:
print(e)
return None
def __getAllUrl(self):
self.__cities = self.__params['city']
self.__urlList = []
for city in self.__cities:
self.__params['city'] = city
url = self.__getUrl()
soup = self.__getSoup(url)
self.__urlList.extend(self.__getUrlList(soup))
def run(self):
self.__getAllUrl()
self.path = self.__createDF()
nums = pages = 0
print('number of page:',len(self.__urlList))
for url in self.__urlList:
soup = self.__getSoup(url)
jobList = self.__getJobFromPage(soup)
for job in jobList:
nums += 1
self.__saveJob(job,self.path)
pages += 1
print('第%d页数据已抓取完毕。'%(pages),'='*50,'\n')
self.__params.pop('page')
if __name__ == "__main__":
a = SXCCrawer()
a.setParams(keyword='数据采集',city = ['杭州','北京','上海','广州','深圳'])
a.run()