def FiveEightJobs(assignPage='1', totalPages=1, nextUrl=''):
'''
# Function: 向服务器提交搜索信息,并获取职位搜索页的所有职位信息
# Params : keyword=搜索关键词,assignPage=页码
# Notes :
'''
print 'Tring processing General Search List Page %s ==========='%(assignPage if assignPage else '1')
# === 获取网页源码 ===
url = nextUrl if nextUrl else gen58JobUrl(pn=assignPage)
webTarget = webPageSourceCode( url )
if not webTarget : return '' # 如果没有获取到网络信息 则退出 # 不过目前这一句的逻辑是否正确还没想通-_-!
# === BeautifulSoup解析源码,也是最花时间的,解析器不对则会造成7秒/页面 ===
soup = BeautifulSoup(webTarget['html'], 'html5lib')
# === 检测当前页是否有结果 ===
with open('log.html', 'w') as f:
f.write(soup.prettify('utf-8'))
if bsGet(soup, css='#searchTip', withTxt='抱歉') or bsGet(soup, css='h1[class="item"]', withTxt='抱歉'):
print 'No any result or you have been blocked.-_-!' # 如果没有显示结果 则推出
return ''
# === 获取真实页码 ===
truePage = bsGet(soup, css='div[class="pagerout"] div[class="pager"] strong')
truePage = int(truePage) if truePage else 1 # 如果结果少于1页,则不会有任何结果
# === 获取下一页链接 === # 58的下一页链接是不完整的-_-!再去补完还不如自己造呢
try: nextUrl = bsGet(soup,css='div[class="pagerout"] a[class="next"]',attri='href')
except: print 'No link of next-page found.'
# === 获取信息条目 ===
blocks = soup.select('[logr$="ses^composite^0"]')
print '=== Detected %d Job Information in this page.' %len(blocks)
if len(blocks):
titles = 'jobName,jobLink,cmpName, cmpLink, cmpLoc, jobUpdate'
values = []
for row in blocks:
if bsGet(row, css='div[class="tuiguang"]'): continue # 排除推广信息
values.append([
bsGet(row, css='a[_t="common"]'),
bsGet(row, css='a[_t="common"]',attri='href'),
bsGet(row, css='div[class="titbar"] h2'),
bsGet(row, css='dd[class="w96"]'),
bsGet(row, css='dd[class="w68"]')
])
# 输出结果：MySQL的sql文件输出
sqlfile = './data/INSERT_INTO_TEMP_SEARCHRESULTS_FiveEight.sql'
fback = sqlInsert('TEMP_SEARCHRESULTS_FiveEight', titles, values, sqlfile=sqlfile)
# print fback
else:
print 'No any record found in this page.'
if int(truePage) < int(totalPages):
if not nextUrl and truePage < assignPage: FiveEightJobs(keyword, assignPage='%d'%(int(truePage)+1), totalPages=totalPages)
else: FiveEightJobs(keyword, assignPage=truePage+1, nextUrl=nextUrl, totalPages=totalPages)
else: print '-'*50 + 'Reached the end of records. truePage[%s], assignPage[%s], totalPages[%s].' %(truePage,assignPage,totalPages)
def FiveEightRoster(nextUrl='', assignPage=1, city='', industry=''):
'''
# Function: 抓取58同城的“企业名录”网页。只抓取"名称"和"链接"。
# Notes : 1. 为求效率,这是个"三重递归"函数。逻辑是这样的：第一次运行，挨个找城市链接，然后点开一个城市链接，
然后再挨个点开行业链接，循环读取所有名录之后再进入下一个城市链接进行循环。
2. 运行后发现。。。这玩意效率太高！不到2分钟就被58屏蔽IP了-_-!怎么办。。
'''
# === 先从主页抓取所有子城市、行业类别的名录页 ===
if not nextUrl:
print '=' * 80 + 'First Run.'
webTarget = webPageSourceCode(
'http://qy.58.com/citylist/') # 初始先从全部城市页面入手
if not webTarget: return ''
soup = BeautifulSoup(webTarget['html'], 'html5lib')
if not city:
ctLinks = soup.select('#clist a[href^="http://qy.58.com/"]')
for ct in ctLinks:
FiveEightRoster(ct['href'], city=ct.get_text(strip=True))
else:
indLinks = soup.select(
'[class^="indCateList"] a[href^="http://qy.58.com/"]')
for link in indLinks:
FiveEightRoster(link['href'],
city=city,
industry=link.get_text(strip=True))
return ''
# === 读取一个分类的所有页面数据 === OK 可以独立运行
print 'Tring processing the list-page %d of Firm Roster in the city [%s] ===========' % (
assignPage, city)
url = 'http://qy.58.com/%s/pn%d' % (city,
assignPage) if not nextUrl else nextUrl
# url = './templates/58Firm-Roster.html'
webTarget = webPageSourceCode(url)
if not webTarget: return ''
soup = BeautifulSoup(webTarget['html'], 'html5lib')
firms = soup.select('[class="compList"] a[href^="http://qy.58.com/"]')
if not len(firms): # 说明已经到结尾了
print 'You have reached the end of records, or maybe you have been blocked.'
return ''
titles = 'cmpName, cmpLink_58, cmpCity, industry'
values = [[tag.get_text(strip=True), tag['href'], city, industry]
for tag in firms]
print '=== Detected %d Firms in this page.' % len(values)
subpath = '_'.join(urlAnalyse(url)['path'].split('/'))
sqlfile = './data/INSERT_INTO_FIRMS%spn%d.sql' % (subpath, assignPage)
sqls = sqlInsert(table='FIRMS',
titles=titles,
values=values,
sqlfile=sqlfile)
def FiveEightRoster(nextUrl='', assignPage=1, city='', industry=''):
'''
# Function: 抓取58同城的“企业名录”网页。只抓取"名称"和"链接"。
# Notes : 1. 为求效率,这是个"三重递归"函数。逻辑是这样的：第一次运行，挨个找城市链接，然后点开一个城市链接，
然后再挨个点开行业链接，循环读取所有名录之后再进入下一个城市链接进行循环。
2. 运行后发现。。。这玩意效率太高！不到2分钟就被58屏蔽IP了-_-!怎么办。。
'''
# === 先从主页抓取所有子城市、行业类别的名录页 ===
if not nextUrl:
print '='*80 + 'First Run.'
webTarget = webPageSourceCode('http://qy.58.com/citylist/') # 初始先从全部城市页面入手
if not webTarget: return ''
soup = BeautifulSoup(webTarget['html'], 'html5lib')
if not city:
ctLinks = soup.select('#clist a[href^="http://qy.58.com/"]')
for ct in ctLinks:
FiveEightRoster(ct['href'], city=ct.get_text(strip=True))
else:
indLinks = soup.select('[class^="indCateList"] a[href^="http://qy.58.com/"]')
for link in indLinks: FiveEightRoster(link['href'], city=city, industry=link.get_text(strip=True))
return ''
# === 读取一个分类的所有页面数据 === OK 可以独立运行
print 'Tring processing the list-page %d of Firm Roster in the city [%s] ==========='%(assignPage, city)
url = 'http://qy.58.com/%s/pn%d'%(city,assignPage) if not nextUrl else nextUrl
# url = './templates/58Firm-Roster.html'
webTarget = webPageSourceCode(url)
if not webTarget: return ''
soup = BeautifulSoup(webTarget['html'], 'html5lib')
firms = soup.select('[class="compList"] a[href^="http://qy.58.com/"]')
if not len(firms): # 说明已经到结尾了
print 'You have reached the end of records, or maybe you have been blocked.'
return ''
titles = 'cmpName, cmpLink_58, cmpCity, industry'
values = [[tag.get_text(strip=True), tag['href'], city, industry] for tag in firms]
print '=== Detected %d Firms in this page.' %len(values)
subpath = '_'.join(urlAnalyse(url)['path'].split('/'))
sqlfile = './data/INSERT_INTO_FIRMS%spn%d.sql'%(subpath, assignPage)
sqls = sqlInsert(table='FIRMS',titles=titles, values=values, sqlfile=sqlfile)
def ZhilianSearchList(keyword='数据', assignPage=1, totalPages=1, scope=0, nextUrl=''):
'''
# Function: 向智联招聘提交搜索信息,并获取智联搜索页的所有职位信息
# Params : keyword=搜索关键词,assignPage=页码
'''
if scope==0 : print 'Tring processing General Search List Page %d ==========='%assignPage
elif scope==1 : print 'Tring processing Company Search List Page %d -----------'%assignPage
elif scope==2 : print 'Tring processing Position Search List Page %d -----------'%assignPage
# === 编制URL参数 ===
urlParams = {
'kw' : keyword, # 搜索关键词
'sm' : 0, # 显示方式代码： 列表是'0',详细是'1'。显示不同源码也不同,尽量选列表模式,源码更好解析。
'jl' : '北京', # 搜索城市：'北京',多项用'+'连接(URL编码为%2B)
#'bj' : '', # 职位类别代码：互联网产品/运营管理 的代码为 '160200',多项用'%3B'连接(URL编码的%)
#'in' : '', # 行业代码：多项用';'连接(URL编码为%3B)
'kt' : scope, # 关键词搜索范围：全文'0' | 公司名'1' | 职位名'2'
'isadv' : 0, # 是否高级搜索：快速搜索'0' | 高级搜索'1'
# 'isfilter' : 1, # 是不是筛选器： '0' | '1'
# 'ispts' : '', # 通常为 '1'
#'sj' : '', # 职位子类别代码：
# 'gc' : '5号', # 地铁线路： '5号'
# 'ga' : '立水桥', # 地名或地铁站名： '天通苑南' 、 '小汤山'
# 'sb' : 0, # 排序方式代码：默认排序是'0',相关度排序是'1', 首发日排序是'2'
#'fjt' : '10000', # 职位标签 五险一金'10000' 年底双薪'10001' 绩效奖金'10002' 等等
# 'sf' : -1, # 月薪底线：'8001' 不限是'-1'
# 'st' : -1, # 月薪上限：'10000' 不限是'-1'
# 'ct' : -1, # 公司性质代码
# 'el' : -1, # 学历代码
# 'we' : -1, # 工作经验代码
# 'et' : -1, # 职位类型代码：兼职'1' 全职'2' 实习'4'
# 'pd' : -1, # 发布时间(天数)：一周是'7',一个月是'30',不限是'-1'
'p' : assignPage, # 页码,超出总页码时,则会显示最后一页
#'gr' : '', #
# 're' : '2015', # 这个限制了搜素数量,但是其实也不是按年份搜索
'sg' : '', # 即全网唯一标示符——GUID
#'' : '' #
}
# === 获取网页源码 ===
'''
# 其实在这里应该加一个计时器,如果时间超长都不返回结果,那么就伪装IP再来一次。
# 或者如果获取源码失败,也伪装IP等再来一次。
'''
if nextUrl : webTarget = webPageSourceCode(nextUrl)
else: webTarget = webPageSourceCode('http://sou.zhaopin.com/jobs/searchresult.ashx', urlParams)
if not webTarget : return '' # 如果没有获取到网络信息 则退出 # 不过目前这一句的逻辑是否正确还没想通-_-!
# === BeautifulSoup解析源码,也是最花时间的,解析器不对则会造成7秒/页面 ===
soup = BeautifulSoup(webTarget['html'], 'html5lib')
# === 获取搜索结果的数量,并进行相应处理 ===
total_results = bsGet(soup, css='[class$=search_yx_tj] em')
print 'There are %s results found as total.' %total_results
if total_results == '0': return '' # 如果当前页面没有结果,则不进行处理了。
'''
# === 获取全网唯一ID,即url中的sg参数 ===
tags = soup.select('#guid')
guid = tags[0]['value'] if len(tags) else ''
print 'The "guid" is %s.' %guid
'''
# === 获取真实页码 ===
truePage = bsGet(soup, css='[class*="pagesDown"] a[class*="current"]')
truePage = int(truePage) if truePage else 1 # 如果结果少于1页,则不会有任何结果
# === 获取下一页链接 ===
try: nextUrl = soup.select('a[class*=next-page]')[0]['href']
except: print 'No link of next-page found.'
# === 获取信息条目 ===
blocks = soup.select('[class$=newlist]')
print '=== Detected %d Job Information in this page.' %len(blocks)
if len(blocks):
titles = 'jobName,cmpName,feedback,workingAge,eduReq,cmpType,cmpSize,jobDescri,jobLink,cmpLink,payMonthly,cmpLoc,jobUpdate'
values = []
for row in blocks:
values.append([
bsGet(row, css='[class$=zwmc]'), # 职位名称
bsGet(row, css='[class$=gsmc]'), # 公司名称
bsGet(row, css='[class$=fk_lv]'), # 反馈比率
bsGet(row, withTxt='经验：'), # 工作经验
bsGet(row, withTxt='学历：'), # 学历背景
bsGet(row, withTxt='公司性质：'), # 公司性质
bsGet(row, withTxt='公司规模：'), # 公司规模
bsGet(row, withTxt='岗位职责：'), # 岗位职责
bsGet(row, css='[class$=zwmc] a[href^="http"]', attri='href'), # 招聘网址
bsGet(row, css='[class$=gsmc] a[href^="http"]', attri='href'), # 企业网址
bsGet(row, css='[class$=zwyx]', withTxt='职位月薪：'), # 职位月薪
bsGet(row, css='[class$=gzdd]', withTxt='地点：'), # 工作地点
bsGet(row, css=['[class$=gxsj]', 'dl p']), # 更新时间
])
# print 'withTxt is an unicode string:',type(values[0][4]) == type(u'') # True
# print 'attri is an unicode string:', type(values[0][8]) == type(u'') # True
# print 'multi-search got an unicode string:', type(values[0][8]) == type(u'') # True
'''
# === 子链接抓取：新式方案 ===
# 不在这里进行解析以免一个地方出错导致全程失败,
# 应当先获取全部搜索结果,再本函数外对本次获取的子链接进行抓取。
# === 跳转并解析职位信息页面 ===
# jobUrl = bsGet(row,css='[class$=zwmc] a[href^="http"]', attri='href')
# if jobUrl : ZhilianJobPage(jobUrl)
# else : print 'Failed on retrieving URL of the job: %s' %values[0]
# === 跳转并解析企业信息页面 ===
# 方法1
# 但是会有问题就是,如果`识别重复`方面没有做好,这里就会形成无限循环。
# 可以想到的笨方法就是,先取得所有相关的企业名称和链接,然后再用函数把它读取出来,循环生成。
# publicJobs = ZhilianFirmPage(values[-1])
# print 'This company is recruiting %d jobs now.' %len(publicJobs)
# 方法2
# 递归本函数,用企业名搜索其下所有招聘信息。
# ZhilianSearchList(values[1].encode('utf-8'), 1, scope=3)
'''
# 输出结果：MySQL的sql文件输出
sqlfile = './data/INSERT_INTO_TEMP_SEARCHRESULTS_ZHILIAN.sql'
fback = sqlInsert('TEMP_SEARCHRESULTS_ZHILIAN', titles, values, sqlfile=sqlfile)
# print fback
'''
# === 递归调用函数自身,循环读取下一页 ===
# 循环读取每一页的信息
# 智联招聘一般全网同时会有100,000个职位
# 但是都不超过90个页面,一页有40个,所以顶多只能获取3600个
# 另外,如果页码超过现有的,则会仍显示一些招聘信息,但是都是重复的。
# 唯一不同是,上方会显示“共0个职位满足条件”
# 如果真实的页码并没有指定页码那么多,就代表搜索到头了。
# >>>
'''
if truePage < totalPages:
if not nextUrl and truePage < assignPage: ZhilianSearchList(keyword, assignPage=truePage+1, totalPages=totalPages)
else: ZhilianSearchList(keyword, assignPage=truePage+1, nextUrl=nextUrl, totalPages=totalPages)
else: print '-'*50 + 'Reached the end of records. truePage[%d], assignPage[%d], totalPages[%d].' %(truePage,assignPage,totalPages)
def FiveEightJobs(assignPage='1', totalPages=1, nextUrl=''):
'''
# Function: 向服务器提交搜索信息,并获取职位搜索页的所有职位信息
# Params : keyword=搜索关键词,assignPage=页码
# Notes :
'''
print 'Tring processing General Search List Page %s ===========' % (
assignPage if assignPage else '1')
# === 获取网页源码 ===
url = nextUrl if nextUrl else gen58JobUrl(pn=assignPage)
webTarget = webPageSourceCode(url)
if not webTarget: return '' # 如果没有获取到网络信息 则退出 # 不过目前这一句的逻辑是否正确还没想通-_-!
# === BeautifulSoup解析源码,也是最花时间的,解析器不对则会造成7秒/页面 ===
soup = BeautifulSoup(webTarget['html'], 'html5lib')
# === 检测当前页是否有结果 ===
with open('log.html', 'w') as f:
f.write(soup.prettify('utf-8'))
if bsGet(soup, css='#searchTip', withTxt='抱歉') or bsGet(
soup, css='h1[class="item"]', withTxt='抱歉'):
print 'No any result or you have been blocked.-_-!' # 如果没有显示结果 则推出
return ''
# === 获取真实页码 ===
truePage = bsGet(soup,
css='div[class="pagerout"] div[class="pager"] strong')
truePage = int(truePage) if truePage else 1 # 如果结果少于1页,则不会有任何结果
# === 获取下一页链接 === # 58的下一页链接是不完整的-_-!再去补完还不如自己造呢
try:
nextUrl = bsGet(soup,
css='div[class="pagerout"] a[class="next"]',
attri='href')
except:
print 'No link of next-page found.'
# === 获取信息条目 ===
blocks = soup.select('[logr$="ses^composite^0"]')
print '=== Detected %d Job Information in this page.' % len(blocks)
if len(blocks):
titles = 'jobName,jobLink,cmpName, cmpLink, cmpLoc, jobUpdate'
values = []
for row in blocks:
if bsGet(row, css='div[class="tuiguang"]'): continue # 排除推广信息
values.append([
bsGet(row, css='a[_t="common"]'),
bsGet(row, css='a[_t="common"]', attri='href'),
bsGet(row, css='div[class="titbar"] h2'),
bsGet(row, css='dd[class="w96"]'),
bsGet(row, css='dd[class="w68"]')
])
# 输出结果：MySQL的sql文件输出
sqlfile = './data/INSERT_INTO_TEMP_SEARCHRESULTS_FiveEight.sql'
fback = sqlInsert('TEMP_SEARCHRESULTS_FiveEight',
titles,
values,
sqlfile=sqlfile)
# print fback
else:
print 'No any record found in this page.'
if int(truePage) < int(totalPages):
if not nextUrl and truePage < assignPage:
FiveEightJobs(keyword,
assignPage='%d' % (int(truePage) + 1),
totalPages=totalPages)
else:
FiveEightJobs(keyword,
assignPage=truePage + 1,
nextUrl=nextUrl,
totalPages=totalPages)
else:
print '-' * 50 + 'Reached the end of records. truePage[%s], assignPage[%s], totalPages[%s].' % (
truePage, assignPage, totalPages)
