-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathgov_respider.py
164 lines (157 loc) · 5.69 KB
/
gov_respider.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
Python 3.11.9 (tags/v3.11.9:de54cf5, Apr 2 2024, 10:12:12) [MSC v.1938 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
import time
import os
import pandas as pd
import requests
from lxml import etree
import re
from tqdm import tqdm
import random
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
ua = UserAgent()
folder_path= r'D:\myduty\goverment_purchase\data_respider\wangzhan'
def get_page(url,proxy_list,j):
random_user_agent = ua.random
header = {'User-Agent': random_user_agent}
# 发起请求
get_proxy=proxy_list[(j-1)%len(proxy_list)]
proxies = {'http': 'http://' + get_proxy}
session = requests.session()
session.keep_alive = False # 防止报错“Max retries exceeded with url”，关闭多余连接
session.proxies.update(proxies)
response = session.get(url, headers=header).text
# response.text返回的是Unicode类型的数据，不能encoding为utf-8
tree = etree.HTML(response) # 实例化源码
return tree,session
def read_page(tree,i):
dict_temp = [None]*4
info_ = tree.xpath(f'/html/body/div[5]/div[2]/div/div/div[1]/ul/li[{i}]/span/text()')[0]
p_time, purchaser, agency = info_.split('|')
p_time = p_time.strip()
purchaser = purchaser.strip()
agency = agency.strip()
p_type = tree.xpath(f'/html/body/div[5]/div[2]/div/div/div[1]/ul/li[{i}]/span/strong[2]/text()')[0]
contract_link = tree.xpath(f'/html/body/div[5]/div[2]/div/div/div[1]/ul/li[{i}]/a/@href')[0]
dict_temp[0] = p_time
dict_temp[1] = purchaser.split('：')[1].strip()
dict_temp[2] = agency.split('：')[1].strip()
dict_temp[3] = p_type.strip()
return contract_link,dict_temp
def to_page(url, session):
random_user_agent = ua.random
header = {'User-Agent': random_user_agent}
response_link = session.get(url=url, headers=header)
response_link.encoding = response_link.apparent_encoding
response_link = response_link.text
tree = etree.HTML(response_link)
paragraph_texts = tree.xpath('//*[@id="detail"]/div[2]//text()')
info = ' '.join(text.strip() for text in paragraph_texts if text.strip())
return info
def path_get():
file_list = os.listdir(folder_path)
file_path=[]
for file in file_list:
if file.endswith('.csv'):
file_path.append(os .path.join(folder_path,file))
return file_path
def main():
proxy_list = [
"183.153.124.89:4215",
"183.153.124.75:4215",
"125.125.226.230:4215",
"125.125.234.103:4215",
"122.230.35.226:4215",
"125.125.143.50:4215",
"122.230.59.141:4215",
"125.125.233.250:4215",
"125.125.140.38:4215",
"115.208.164.78:4215",
"125.125.141.57:4215",
"122.230.34.184:4215",
"122.230.61.128:4215",
"125.125.237.144:4215",
"125.125.231.214:4215",
"115.207.253.136:4215",
"125.125.235.224:4215",
"183.142.205.45:4215",
"125.125.239.130:4215",
"122.239.155.60:4261",
"115.208.164.89:4215",
"122.230.59.130:4215",
"183.153.123.103:4215",
"183.142.200.36:4215",
"49.89.87.111:4241",
"122.239.130.153:4261",
"125.125.129.100:4215",
"125.125.226.208:4215",
"183.153.123.98:4215",
"114.239.2.173:4262",
"49.70.95.251:4241",
"122.239.150.137:4261",
"183.142.204.98:4215",
"122.230.34.174:4215",
"114.239.2.71:4262",
"122.230.43.153:4215",
"49.70.95.203:4241",
"183.153.107.36:4215",
"125.125.129.214:4215"
]
file_path=path_get()
for file in file_path:
filename= os.path.basename(file)
filename=folder_path+"\\"+filename
dict_temp=[]
try:
dict_temp = pd.read_csv(filename)
except:
dict_temp = pd.read_csv(filename, encoding='gbk')
_type=dict_temp.iloc[2,2]
dict_pages = []
page=1
for j in range(1, len(dict_temp)):
j=page
if j>=len(dict_temp):
break
error=False
try:
... url_1 = dict_temp.iloc[j,0]
... # 获取网页信息
... tree_1, session = get_page(url_1, proxy_list, j)
... except Exception as e:
... print(f"在获取网页信息时{str(e)}")
... error=True
...
... for i in range(1, 21):
... # 对公告进行爬取
... dict_list={}
... dict_list['网站页码']=url_1
... dict_list['所属类别']=dict_temp.iloc[j,1]
... dict_list['所属类型']=dict_temp.iloc[j,2]
... try:
... url_2, dict_ = read_page(tree_1, i)
... dict_list['发布时间'] = dict_[0]
... dict_list['采购人'] = dict_[1]
... dict_list['代理机构'] = dict_[2]
... dict_list['品目'] = dict_[3]
... dict_list['公告网站']= url_2
...
... except Exception as e:
... error=True
... continue
...
... try:
... if url_2 is not None:
... full_text=""
... full_text = to_page(url_2, session)
... dict_list['全文内容']=full_text
... except Exception as e:
... print(f"在摘取全文时{str(e)}")
... dict_pages.append(dict_list)
... if error:
... time.sleep(100)
... print(f"{_type}第{j}页爬取完整"+str(error))
... page=page+20
... df = pd.DataFrame(dict_pages)
... df.to_csv(f"{_type}网站.csv", index=False)