class SpiderMain(object):
def __init__(self):
self.urls = UrlManager()
self.downloader = HtmlDownloader()
self.parser = HtmlParser()
self.outputer = HtmlOutputer()
def craw(self, url):
count = 1
self.urls.add_new_url(url)
while self.urls.has_new_url():
try:
new_url = self.urls.get_new_url()
html_cont = self.downloader.download(new_url)
new_urls, html_data = self.parser.parse(new_url, html_cont)
self.urls.add_new_urls(new_urls)
self.outputer.collect_data(html_data)
print "%d craw success : %s" % (count, new_url)
if count >= 10:
break
count = count + 1
except Exception as e:
print str(e)
print "%d craw failed : %s" % (count, new_url)
self.outputer.output()
class SpiderMain(object):
def __init__(self):
self.urls = UrlManager()
self.downloader = HtmlDownloader()
self.parser = HtmlParser()
self.output = HtmlOutputer()
def craw(self, root_url, page_amount=5, time_sleep=None):
count = 1
# 添加第一个待爬取url
self.urls.add_new_url(root_url)
# 如果集合中有url, 就取出一个url 请求， 没有链接则跳出。
while self.urls.has_new_url():
try:
# 开始爬取
new_url = self.urls.get_new_url()
print(f'craw{count}:{new_url}')
# 请求url, 返回html
html_content = self.downloader.download(new_url)
# xpath 解析html，得到需要的数据
new_urls, new_data = self.parser.parse(html_content)
# 一个词条页面上关联的a 链表列表加入到url 管理器中待爬取
self.urls.add_new_urls(new_urls)
self.output.collect_data(new_url, new_data)
count += 1
if count > page_amount:
break
time.sleep(2)
except Exception as e:
print(e)
print(f'抓取失败:{new_url}')
self.output.output_html()
class SpiderMain():
def __init__(self):
# URL 管理器
# self.urls = UrlManager.UrlManager()
self.urls = UrlManager()
# URL 下载器
# self.downloader = HtmlDownloader.HtmlDownloader()
self.downloader = HtmlDownloader()
# URL 解析器
# self.parser = html_parser.HtmlParser()
self.parser = HtmlParser()
# self.outputer = html_outputer.HtmlOutputer()
self.outputer = HtmlOutputer()
def craw(self, root_url):
count = 1
originSet = set()
originSet.add(root_url)
self.urls.add_new_urls(originSet)
while self.urls.has_new_rul():
try:
new_url = self.urls.get_new_url()
print "craw %d : %s" % (count, new_url)
html_cont = self.downloader.downloader(new_url)
# 输出信息
downStat = "ERROR"
if html_cont != None:
downStat = "SUCCESS"
print "[Page ID : %d downloader %s!]" % (count, downStat)
new_urls, new_data = self.parser.parser(new_url, html_cont)
# print "\nnew_urls[%s], new_data[%s]" % (new_urls, new_data)
self.urls.add_new_urls(new_urls)
self.outputer.collect_data(new_data)
if count == 15:
break
count = count + 1
except Exception as err:
print "craw failed! ERROR infomation : %s" % err
self.outputer.output_html()
class SpiderMain(object):
def __init__(self):
self.urls = UrlManager()
self.downlaoder = HtmlDownlaoder()
self.parser = HtmlParser()
self.outputer = HtmlOutputer()
def craw(self, root_url):
count = 1
# 把根url 传入url管理列表
self.urls.add_url(root_url)
# 页面爬取循环程序
while self.urls.has_new_url():
try:
# 获取一个待爬取的url
new_url = self.urls.get_new_url()
print('craw %d: %s' % (count, new_url))
# 下载该url爬取context
html_cont = self.downlaoder.download(new_url)
# 通过解析器，解析该url下载到的内容，获取新的 new_urls 和 新的 data
new_urls, new_data = self.parser.parse(new_url, html_cont)
# 把获取到 新的url添加到新的url管理器，
self.urls.add_new_urls(new_urls)
# 把获取的新的data添加到新的数据处理器中
self.outputer.collect_data(new_data)
if count == 100:
break
count += 1
except Exception as e:
print('craw failed')
self.outputer.output_html()
class SpiderMain(object):
def __init__(self):
self.urls = UrlManager()
self.downloader = HtmlDownloader()
self.parser = HtmlParser()
self.outputer = HtmlOutputer()
def craw(self, root_url):
count = 1
self.urls.add_new_url(root_url)
while self.urls.has_new_url():
try:
new_url = self.urls.get_new_url() # 获取新url
html_cont = self.downloader.download(new_url) # 下载url内容
new_urls, new_data = self.parser.parse(new_url,
html_cont) # 解析url内容
self.urls.add_new_urls(new_urls) # 将解析到的新url存入url管理器
self.outputer.collect_data(new_data) # 收集解析到的数据
if count == 200:
break
count = count + 1
except:
print("craw failed")
self.outputer.output_html()
class SpiderMain(object):
"""docstring for SpiderMain"""
def __init__(self):
self.urlManage = UrlManage()
self.downloader = HtmlDownloader()
self.parser = HtmlParser()
self.outputer = HtmlOutputer()
def craw(self,url):
self.urlManage.add_new_url(url)
count = 1
while self.urlManage.has_new_url():
url = self.urlManage.get_new_url()
print '%dth page,address:%s' % (count,url)
html_content = self.downloader.downloadPage(url)
new_urls,new_data = self.parser.parse(html_content,url)
self.urlManage.add_new_urls(new_urls)
self.outputer.collect_data(new_data)
if count == 10:
break
count = count + 1
self.outputer.output_html()
class SpiderMain():
"""爬虫程序主模块"""
def __init__(self):
"""构造函数，初始化属性"""
self.urls = UrlManager()
self.log = MyLog("spider_main", "logs")
self.downloader = HtmlDownloader()
self.parser = HtmlParser()
self.outputer = HtmlOutputer()
#self.util=utill.DBConn()
def craw(self, root_url):
"""爬虫入口函数"""
areas = {
"gulou": 100,
"jianye": 72,
"qinhuai": 100,
"xuanwu": 67,
"yuhuatai": 32,
"qixia": 62,
"baijiahu": 33,
"chalukou1": 26,
"jiangningqita11": 3,
"dongshanzhen": 29,
"jiangningdaxuecheng": 15,
"jiulonghu": 12,
"jiangjundadao11": 22,
"kexueyuan": 9,
"qilinzhen": 42,
"tiexinqiao": 9,
"pukou": 100,
"liuhe": 1,
}
#areas = {"gulou":1}
#1、抓取所有二手房详情界面链接，并将所有连接放入URL管理模块
for area, pg_sum in areas.items():
for num in range(1, pg_sum + 1):
#1.1 拼接页面地址: https://nj.lianjia.com/ershoufang/gulou/pg2/
pg_url = root_url + area + "/pg" + str(num) + "/"
self.log.logger.info("1.1 拼接页面地址：" + pg_url)
print("1.1 拼接页面地址：" + pg_url)
#1.2 启动下载器,下载页面.
try:
html_cont = self.downloader.download(pg_url)
except Exception as e:
self.log.logger.error("1.2 下载页面出现异常:" + repr(e))
time.sleep(60 * 30)
else:
#1.3 解析PG页面，获得二手房详情页面的链接,并将所有链接放入URL管理模块
try:
ershoufang_urls = self.parser.get_erhoufang_urls(
html_cont)
except Exception as e:
self.log.logger.error("1.3 页面解析出现异常:" + repr(e))
else:
self.urls.add_new_urls(ershoufang_urls)
#暂停0~3秒的整数秒，时间区间：[0,3]
time.sleep(random.randint(0, 3))
time.sleep(60 * 20)
#2、解析二手房具体细心页面
id = 1
stop = 1
while self.urls.has_new_url():
#2.1 获取url
try:
detail_url = self.urls.get_new_url()
self.log.logger.info("2.1 二手房页面地址：" + detail_url)
print("2.1 二手房页面地址：" + detail_url)
except Exception as e:
print("2.1 拼接地址出现异常")
self.log.logger.error("2.1 拼接地址出现异常:" + detail_url)
#2.2 下载页面
try:
detail_html = self.downloader.download(detail_url)
except Exception as e:
self.log.logger.error("2.2 下载页面出现异常:" + repr(e))
self.urls.add_new_url(detail_url)
time.sleep(60 * 30)
else:
#2.3 解析页面
try:
ershoufang_data = self.parser.get_ershoufang_data(
detail_html, id)
except Exception as e:
self.log.logger.error("2.3 解析页面出现异常:" + repr(e))
else:
#2.4 输出数据
try:
self.outputer.collect_data(ershoufang_data)
except Exception as e:
self.log.logger.error("2.4 输出数据出现异常:" + repr(e))
else:
print(id)
id = id + 1
stop = stop + 1
#暂停0~3秒的整数秒，时间区间：[0,3]
time.sleep(random.randint(0, 3))
if stop == 2500:
stop = 1
time.sleep(60 * 20)