原标题：Python 爬取boss直聘招聘信息！

1、一些公共方法的准备

获取数据库链接：

importpymysql

'''

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'''

# 获得数据库链接对象

defgetConnect(database):

DATABASE = {

'host': 'localhost',

'database': database,

'user': 'root',

'password': '123456'

}

returnpymysql.connect(**DATABASE)

获取页面soup对象：

importrequests

frombs4 importBeautifulSoup

#转换成soup对象

defto_soup(str):

returnBeautifulSoup(str,'lxml')

#通过url和header获取页面soup对象

defget_soup(url,header):

response=requests.get(url,headers=header)

returnto_soup(response.text)

2、爬取BOSS直聘python相关岗位的实现

定义工作信息对象：

classWorkInfo:

def__init__(self, title, salary, site, experience, education, job_url, company,release_date,get_date):

self.title = title

self.salary = salary

self.site = site

self.experience = experience

self.education = education

self.job_url = job_url

self.company = company

self.release_date = release_date

self.get_date = get_date

获取工作信息到定义的对象的集合：

# 获取工作信息集合

defgetWorkInfos(url, header):

# 获得页面soup对象

htmlSoup = rep.get_soup(url, header)

workInfos = []

# 获取页面内容块状列表

job_infos = htmlSoup.find_all('div', class_='job-primary')

iflen(job_infos)==0:

print('已到空白页!!!')

returnworkInfos

# 遍历每块，获取每块详细类容

print('开始爬取页面数据!')

forjob_info_soup injob_infos:

# 标题

title = job_info_soup.find('div', class_='job-title').get_text

# 薪资

salary = job_info_soup.find('span', class_='red').get_text

infos = str(job_info_soup.find('p'))

infosList = tool.toContent(infos)

# 工作地址

site = infosList[0]

# 工作经验

experience = infosList[1]

# 学历要求

education = infosList[2]

# 详细信息链接

job_url = job_info_soup.find('a').get('href')

# 公司名

company = job_info_soup.find('div', class_='company-text').find('a').get_text

# 发布时间

release_date = job_info_soup.find('div', class_='info-publis').find('p').get_text[3:]

# 拼接获取符合数据库要求的日期字符串

if'昨'inrelease_date:

release_date=time.strftime("%Y-%m-%d",time.localtime(time.time-86400))

elif':'inrelease_date:

release_date=time.strftime("%Y-%m-%d")

else:

release_date = str(time.localtime.tm_year) + '-'+ re.sub(r'[月,日]', '-', release_date)[:-1]

# 获取数据的时间

get_date = time.strftime("%Y-%m-%d %H:%M:%S")

workInfo = WorkInfo(title, salary, site, experience, education, job_url, company, release_date, get_date)

workInfos.append(workInfo)

print('爬取页面数据完毕！')

returnworkInfos

把获取到的工作信息集合存入数据库：

# 存入数据库

def toDatabase(workInfos):

print('开始存入数据库')

db = database.getConnect('reptile')

cursor = db.cursor

for workInfo in workInfos:

sql = "INSERTINTO`work_info`(`title`, `salary`, `site`, `experience`, `education`, `job_url`, `company`, `release_date`, `get_date`)"

"VALUES('%s','%s','%s','%s','%s','%s','%s','%s','%s')"

% (workInfo.title, workInfo.salary, workInfo.site, workInfo.experience, workInfo.education, workInfo.job_url, workInfo.company, workInfo.release_date,workInfo.get_date)

cursor.execute(sql)

cursor.close

db.commit

db.close

print('存入数据库完毕!')

爬取工作实现：

url = 'https://www.zhipin.com/c101270100/?'

header = {

'user-agent': 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36',

'referer': '',

'cookie':'lastCity=101270100; _uab_collina=155876824002955006866925; t=DPiicXvgrhx7xtms; wt=DPiicXvgrhx7xtms; sid=sem_pz_bdpc_dasou_title; __c=1559547631; __g=sem_pz_bdpc_dasou_title; __l=l=%2Fwww.zhipin.com%2F%3Fsid%3Dsem_pz_bdpc_dasou_title&r=https%3A%2F%2Fsp0.baidu.com%2F9q9JcDHa2gU2pMbgoY3K%2Fadrc.php%3Ft%3D06KL00c00fDIFkY0IWPB0KZEgsZb1OwT00000Kd7ZNC00000JqHYFm.THdBULP1doZA80K85yF9pywdpAqVuNqsusK15yF9m1DdmWfdnj0sm1PhrAf0IHYYnD7aPH9aPRckwjRLrjbsnYfYfWwaPYwDnHuDfHcdwfK95gTqFhdWpyfqn1czPjmsPjnYrausThqbpyfqnHm0uHdCIZwsT1CEQLILIz4lpA-spy38mvqVQ1q1pyfqTvNVgLKlgvFbTAPxuA71ULNxIA-YUAR0mLFW5HRvnH0s%26tpl%3Dtpl_11534_19713_15764%26l%3D1511867677%26attach%3Dlocation%253D%2526linkName%253D%2525E6%2525A0%252587%2525E5%252587%252586%2525E5%2525A4%2525B4%2525E9%252583%2525A8-%2525E6%2525A0%252587%2525E9%2525A2%252598-%2525E4%2525B8%2525BB%2525E6%2525A0%252587%2525E9%2525A2%252598%2526linkText%253DBoss%2525E7%25259B%2525B4%2525E8%252581%252598%2525E2%252580%252594%2525E2%252580%252594%2525E6%252589%2525BE%2525E5%2525B7%2525A5%2525E4%2525BD%25259C%2525EF%2525BC%25258C%2525E6%252588%252591%2525E8%2525A6%252581%2525E8%2525B7%25259F%2525E8%252580%252581%2525E6%25259D%2525BF%2525E8%2525B0%252588%2525EF%2525BC%252581%2526xp%253Did(%252522m3224604348_canvas%252522)%25252FDIV%25255B1%25255D%25252FDIV%25255B1%25255D%25252FDIV%25255B1%25255D%25252FDIV%25255B1%25255D%25252FDIV%25255B1%25255D%25252FH2%25255B1%25255D%25252FA%25255B1%25255D%2526linkType%253D%2526checksum%253D8%26wd%3Dboss%25E7%259B%25B4%25E8%2581%2598%26issp%3D1%26f%3D3%26ie%3Dutf-8%26rqlang%3Dcn%26tn%3Dbaiduhome_pg%26oq%3D%2525E5%25258D%25259A%2525E5%2525AE%2525A2%2525E5%25259B%2525AD%26inputT%3D9649%26prefixsug%3Dboss%26rsp%3D0&g=%2Fwww.zhipin.com%2F%3Fsid%3Dsem_pz_bdpc_dasou_title; Hm_lvt_194df3105ad7148dcf2b98a91b5e727a=1558768262,1558768331,1559458549,1559547631; JSESSIONID=A0FC9E1FD0F10E42EAB681A51AC459C7;'

'__a=86180698.1558768240.1559458549.1559547631.63.3.6.6; Hm_lpvt_194df3105ad7148dcf2b98a91b5e727a=1559551561'

'referer: https://www.zhipin.com/c101270100/?query=python&page=2&ka=page-2'

}

query='python'

page=1

while True:

print("开始第：{} 页".format(page))

purl=url+'query='+query+'&page='+str(page)+'&ka=page-'+str(page)

workInfos = getWorkInfos(purl, header)

iflen(workInfos)==0:

print('结束爬取!')

break

toDatabase(workInfos)

page=page+1

3、涉及的小知识

自制去取html标签，把标签内夹杂的内容存入list中：

# 通过正则表达式去掉HTML标签，获取标签内的文字内容列表

deftoContent(str):

infos=re.split(']*>', str)

# 去除空元素

returnlist(filter(None,infos))

时间的相关操作

用‘-’替换‘月’‘日’：

re.sub(r'[月,日]', '-', release_date)

获取前一天’：

release_date=time.strftime("%Y-%m-%d",time.localtime(time.time-86400))

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