爬蟲 拉勾網 selenium

使用selenium進行翻頁獲取職位鏈結，再對鏈結進行解析

會爬取到部分空列表，感覺是網速太慢了，加了time.sleep()還是會有空列表

1

from selenium import
webdriver
2import
requests
3importre4
from lxml import
etree
5import
time
6from selenium.webdriver.support.ui import
webdriverwait
7from selenium.webdriver.support import
expected_conditions as ec
8from selenium.webdriver.common.by importby9
1011
class
lagouspider(object):
12def
__init__
(self):
13         opt =webdriver.chromeoptions()14#
把chrome設定成無介面模式
15opt.set_headless()
16         self.driver = webdriver.chrome(options=opt)
17         self.url = '
爬蟲?px=default&city=北京
'18         self.headers =
2122
23def
run(self):
24self.driver.get(self.url)
25while
true:
26             html = ''
27             links =
28             html =self.driver.page_source
29             links =self.get_one_page_links(html)
30for link in
links:
31print('
\n' + link+'\n'
)32self.parse_detail_page(link)
3334             webdriverwait(self.driver, 10).until(
35                 ec.presence_of_element_located((by.class_name, '
pager_next
')))
36             next_page_btn = self.driver.find_element_by_class_name('
pager_next')
3738if'
pager_next_disabled
'in next_page_btn.get_attribute('
class'):
39break
40else:41
next_page_btn.click()
42             time.sleep(1)
4344
45def
get_one_page_links(self, html):
46         links =
47         hrefs = self.driver.find_elements_by_xpath('
//a[@class="position_link"]')
48for href in
hrefs:
href'))
50return
links
5152
53def
parse_detail_page(self, url):
54         job_information ={}
55         response = requests.get(url, headers=self.headers)
5657         time.sleep(2)
58         html =response.text
59         html_element =etree.html(html)
60         job_name = html_element.xpath('
//div[@class="job-name"]/@title')
61         job_description = html_element.xpath('
//dd[@class="job_bt"]//p//text()')
62for index, i in
enumerate(job_description):
63             job_description[index] = re.sub('
\xa0
', ''
, i)
64         job_address = html_element.xpath('
//div[@class="work_addr"]/a/text()')
65         job_salary = html_element.xpath('
//span[@class="salary"]/text()')
6667
#字串處理去掉不必要的資訊
68for index, i in
enumerate(job_address):
69             job_address[index] = re.sub('
檢視地圖
', ''
, i)
70while
''in
job_address:
71             job_address.remove('')72
73         job_information['
job_name
'] =job_name
74         job_information['
job_description
'] =job_description
75         job_information['
job_address
'] =job_address
76         job_information['
job_salary
'] =job_salary
77print
(job_information)
7879
80def
main():
81     spider =lagouspider()
82spider.run()
8384
85if
__name__ == '
__main__':
86     main()

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