网络抓包
网络爬虫的分类
网络 • wanbainip 发表了文章 • 0 个评论 • 2714 次浏览 • 2020-10-23 17:51
网络爬虫应该选择 Nutch、Crawler4j、WebMagic、scrapy、WebCollector 还是选择其他?
网络爬虫我们可以分为三大类型:
(1)分布式爬虫:Nutch
(2)JAVA爬虫:Crawler4j、WebMagic、WebCollector
(3)非JAVA爬虫:scrapy(基于Python语言开发)
网络爬虫采集数据过程中,经常会遇到被反爬虫机制限制,最常见的就是ip被限制,网站根据ip的访问频率来识别
判断爬虫,当相同的ip频繁的对目标服务器进行访问,那么就会触发服务器的反爬虫机制,这个时候ip就会被限制
或者无法进行访问,爬虫工作将无法继续进行,因此需要借用到万变ip代理来突破ip的限制。
查看全部
网络爬虫我们可以分为三大类型:
(1)分布式爬虫:Nutch
(2)JAVA爬虫:Crawler4j、WebMagic、WebCollector
(3)非JAVA爬虫:scrapy(基于Python语言开发)
网络爬虫采集数据过程中,经常会遇到被反爬虫机制限制,最常见的就是ip被限制,网站根据ip的访问频率来识别
判断爬虫,当相同的ip频繁的对目标服务器进行访问,那么就会触发服务器的反爬虫机制,这个时候ip就会被限制
或者无法进行访问,爬虫工作将无法继续进行,因此需要借用到万变ip代理来突破ip的限制。
查看全部
网络爬虫应该选择 Nutch、Crawler4j、WebMagic、scrapy、WebCollector 还是选择其他?
网络爬虫我们可以分为三大类型:
(1)分布式爬虫:Nutch
(2)JAVA爬虫:Crawler4j、WebMagic、WebCollector
(3)非JAVA爬虫:scrapy(基于Python语言开发)
网络爬虫采集数据过程中,经常会遇到被反爬虫机制限制,最常见的就是ip被限制,网站根据ip的访问频率来识别
判断爬虫,当相同的ip频繁的对目标服务器进行访问,那么就会触发服务器的反爬虫机制,这个时候ip就会被限制
或者无法进行访问,爬虫工作将无法继续进行,因此需要借用到万变ip代理来突破ip的限制。
网络爬虫我们可以分为三大类型:
(1)分布式爬虫:Nutch
(2)JAVA爬虫:Crawler4j、WebMagic、WebCollector
(3)非JAVA爬虫:scrapy(基于Python语言开发)
网络爬虫采集数据过程中,经常会遇到被反爬虫机制限制,最常见的就是ip被限制,网站根据ip的访问频率来识别
判断爬虫,当相同的ip频繁的对目标服务器进行访问,那么就会触发服务器的反爬虫机制,这个时候ip就会被限制
或者无法进行访问,爬虫工作将无法继续进行,因此需要借用到万变ip代理来突破ip的限制。
Firefox抓包分析 (拉勾网抓包分析)
python爬虫 • 低调的哥哥 发表了文章 • 16 个评论 • 19908 次浏览 • 2016-05-09 18:30
针对一些JS网页,动态网页在源码中无法看到它的内容,可以通过抓包分析出其JSON格式的数据。 网页通过通过这些JSON数据对网页的内容进行填充,然后就看到网页里显示相关的内容了。
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。
最好用的还是firefox+firebug第三方插件。
接下来以拉勾网为例。
打开firebug功能
www.lagou.com 在左侧栏随便点击一个岗位,以android为例
在firebug中,需要点击“网络”选项卡,然后选择XHR。
Post的信息就是我们需要关注的,点击post的链接
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。post_data = {'first':'true','kd':'Android','pn':'1'}
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。import requests
url = "http://www.lagou.com/jobs/posi ... ot%3B
return_data=requests.post(url,data=post_data)
print return_data.text
呐,打印出来的数据就是返回来的json数据{"code":0,"success":true,"requestId":null,"resubmitToken":null,"msg":null,"content":{"pageNo":1,"pageSize":15,"positionResult":{"totalCount":5000,"pageSize":15,"locationInfo":{"city":null,"district":null,"businessZone":null},"result":[{"createTime":"2016-05-05 17:27:50","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1455217,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术极客云集","industryField":"移动互联网 · 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18:30:16","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1440576,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术爆棚!","industryField":"移动互联网 · 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18:41:29","companyId":94307,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"宁波海大物联科技有限公司","city":"宁波","salary":"8k-15k","financeStage":"成长型(A轮)","positionId":1070249,"companyLogo":"image2/M00/03/32/CgqLKVXtWiuAUbXgAAB1g_5FW3Y484.png?cc=0.6152940313331783","positionFirstType":"技术","companyName":"海大物联","positionAdvantage":"一流的技术团队,丰厚的薪资回报。","industryField":"移动互联网 · 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在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
是不是很简单?
如果想获得第2页,第3页的数据呢?
只需要修改pn=x 中的值就可以了。post_data = {'first':'true','kd':'Android','pn':'2'} #获取第2页的内容
如果想要获取全部内容,写一个循环语句就可以了。
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查看全部
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。
最好用的还是firefox+firebug第三方插件。
接下来以拉勾网为例。
打开firebug功能
www.lagou.com 在左侧栏随便点击一个岗位,以android为例
在firebug中,需要点击“网络”选项卡,然后选择XHR。
Post的信息就是我们需要关注的,点击post的链接
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。post_data = {'first':'true','kd':'Android','pn':'1'}
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。import requests
url = "http://www.lagou.com/jobs/posi ... ot%3B
return_data=requests.post(url,data=post_data)
print return_data.text
呐,打印出来的数据就是返回来的json数据{"code":0,"success":true,"requestId":null,"resubmitToken":null,"msg":null,"content":{"pageNo":1,"pageSize":15,"positionResult":{"totalCount":5000,"pageSize":15,"locationInfo":{"city":null,"district":null,"businessZone":null},"result":[{"createTime":"2016-05-05 17:27:50","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1455217,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术极客云集","industryField":"移动互联网 · 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在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
是不是很简单?
如果想获得第2页,第3页的数据呢?
只需要修改pn=x 中的值就可以了。post_data = {'first':'true','kd':'Android','pn':'2'} #获取第2页的内容
如果想要获取全部内容,写一个循环语句就可以了。
版权所有,转载请说明出处:www.30daydo.com
查看全部
针对一些JS网页,动态网页在源码中无法看到它的内容,可以通过抓包分析出其JSON格式的数据。 网页通过通过这些JSON数据对网页的内容进行填充,然后就看到网页里显示相关的内容了。
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。
最好用的还是firefox+firebug第三方插件。
接下来以拉勾网为例。
打开firebug功能
www.lagou.com 在左侧栏随便点击一个岗位,以android为例
在firebug中,需要点击“网络”选项卡,然后选择XHR。
Post的信息就是我们需要关注的,点击post的链接
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。
呐,打印出来的数据就是返回来的json数据
在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
是不是很简单?
如果想获得第2页,第3页的数据呢?
只需要修改pn=x 中的值就可以了。
如果想要获取全部内容,写一个循环语句就可以了。
版权所有,转载请说明出处:www.30daydo.com
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。
最好用的还是firefox+firebug第三方插件。
接下来以拉勾网为例。
打开firebug功能
www.lagou.com 在左侧栏随便点击一个岗位,以android为例
在firebug中,需要点击“网络”选项卡,然后选择XHR。
Post的信息就是我们需要关注的,点击post的链接
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。
post_data = {'first':'true','kd':'Android','pn':'1'}
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。
import requests
url = "http://www.lagou.com/jobs/posi ... ot%3B
return_data=requests.post(url,data=post_data)
print return_data.text
呐,打印出来的数据就是返回来的json数据
{"code":0,"success":true,"requestId":null,"resubmitToken":null,"msg":null,"content":{"pageNo":1,"pageSize":15,"positionResult":{"totalCount":5000,"pageSize":15,"locationInfo":{"city":null,"district":null,"businessZone":null},"result":[{"createTime":"2016-05-05 17:27:50","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1455217,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术极客云集","industryField":"移动互联网 · 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18:30:16","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1440576,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术爆棚!","industryField":"移动互联网 · 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09:49:59","companyId":20473,"positionName":"安卓开发工程师","positionType":"移动开发","workYear":"3-5年","education":"大专","jobNature":"全职","companyShortName":"广州棒谷网络科技有限公司","city":"广州","salary":"8k-15k","financeStage":"成长型(A轮)","positionId":1733545,"companyLogo":"image1/M00/0F/36/Cgo8PFT9AgGAciySAAA1THfEIAE433.jpg","positionFirstType":"技术","companyName":"广州棒谷网络科技有限公司","positionAdvantage":"五险一金 大平台 带薪休假","industryField":"电子商务","score":1320,"district":null,"companyLabelList":["项目奖金","绩效奖金","年终奖","五险一金"],"deliverCount":15,"leaderName":"大邹","companySize":"500-2000人","randomScore":0,"countAdjusted":false,"relScore":980,"adjustScore":48,"imstate":"today","createTimeSort":1462844999000,"positonTypesMap":null,"hrScore":79,"flowScore":144,"showCount":3943,"pvScore":77.78928844199473,"plus":"是","businessZones":null,"publisherId":235413,"loginTime":1462878251000,"appShow":1562,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":69,"adWord":0,"formatCreateTime":"09:49发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-04 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09:26:58","companyId":103051,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"大专","jobNature":"全职","companyShortName":"浙江米果网络股份有限公司","city":"杭州","salary":"12k-22k","financeStage":"成长型(A轮)","positionId":1233873,"companyLogo":"image2/M00/10/DF/CgqLKVYwKQSAR2p4AAJAM590SJM137.png?cc=0.17502541467547417","positionFirstType":"技术","companyName":"米果小站","positionAdvantage":"充分的发展成长空间","industryField":"移动互联网","score":1320,"district":"滨江区","companyLabelList":["年底双薪","股票期权","午餐补助","五险一金"],"deliverCount":5,"leaderName":"暂没有填写","companySize":"150-500人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"disabled","createTimeSort":1462843618000,"positonTypesMap":null,"hrScore":72,"flowScore":137,"showCount":1582,"pvScore":87.93158026917071,"plus":"是","businessZones":["江南","长河","西兴"],"publisherId":2992735,"loginTime":1462889479000,"appShow":312,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":63,"adWord":0,"formatCreateTime":"09:26发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 10:01:39","companyId":70044,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"大专","jobNature":"全职","companyShortName":"武汉平行世界网络科技有限公司","city":"武汉","salary":"9k-13k","financeStage":"初创型(天使轮)","positionId":664813,"companyLogo":"image2/M00/00/3E/CgqLKVXdccSAQE91AACv-6V33Vo860.jpg","positionFirstType":"技术","companyName":"平行世界","positionAdvantage":"弹性工作、带薪年假、待遇优厚、3号线直达","industryField":"电子商务 · 文化娱乐","score":1320,"district":"蔡甸区","companyLabelList":["年底双薪","待遇优厚","专项奖金","带薪年假"],"deliverCount":18,"leaderName":"暂没有填写","companySize":"50-150人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462845699000,"positonTypesMap":null,"hrScore":76,"flowScore":128,"showCount":1934,"pvScore":99.6001810598155,"plus":"是","businessZones":["沌口"],"publisherId":1694134,"loginTime":1462892151000,"appShow":759,"calcScore":false,"showOrder":1433141412915,"haveDeliver":false,"orderBy":68,"adWord":0,"formatCreateTime":"10:01发布","totalCount":0,"searchScore":0.0}]}}}
在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
是不是很简单?
如果想获得第2页,第3页的数据呢?
只需要修改pn=x 中的值就可以了。
post_data = {'first':'true','kd':'Android','pn':'2'} #获取第2页的内容
如果想要获取全部内容,写一个循环语句就可以了。
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网络爬虫的分类
网络 • wanbainip 发表了文章 • 0 个评论 • 2714 次浏览 • 2020-10-23 17:51
网络爬虫应该选择 Nutch、Crawler4j、WebMagic、scrapy、WebCollector 还是选择其他?
网络爬虫我们可以分为三大类型:
(1)分布式爬虫:Nutch
(2)JAVA爬虫:Crawler4j、WebMagic、WebCollector
(3)非JAVA爬虫:scrapy(基于Python语言开发)
网络爬虫采集数据过程中,经常会遇到被反爬虫机制限制,最常见的就是ip被限制,网站根据ip的访问频率来识别
判断爬虫,当相同的ip频繁的对目标服务器进行访问,那么就会触发服务器的反爬虫机制,这个时候ip就会被限制
或者无法进行访问,爬虫工作将无法继续进行,因此需要借用到万变ip代理来突破ip的限制。
查看全部
网络爬虫我们可以分为三大类型:
(1)分布式爬虫:Nutch
(2)JAVA爬虫:Crawler4j、WebMagic、WebCollector
(3)非JAVA爬虫:scrapy(基于Python语言开发)
网络爬虫采集数据过程中,经常会遇到被反爬虫机制限制,最常见的就是ip被限制,网站根据ip的访问频率来识别
判断爬虫,当相同的ip频繁的对目标服务器进行访问,那么就会触发服务器的反爬虫机制,这个时候ip就会被限制
或者无法进行访问,爬虫工作将无法继续进行,因此需要借用到万变ip代理来突破ip的限制。
查看全部
网络爬虫应该选择 Nutch、Crawler4j、WebMagic、scrapy、WebCollector 还是选择其他?
网络爬虫我们可以分为三大类型:
(1)分布式爬虫:Nutch
(2)JAVA爬虫:Crawler4j、WebMagic、WebCollector
(3)非JAVA爬虫:scrapy(基于Python语言开发)
网络爬虫采集数据过程中,经常会遇到被反爬虫机制限制,最常见的就是ip被限制,网站根据ip的访问频率来识别
判断爬虫,当相同的ip频繁的对目标服务器进行访问,那么就会触发服务器的反爬虫机制,这个时候ip就会被限制
或者无法进行访问,爬虫工作将无法继续进行,因此需要借用到万变ip代理来突破ip的限制。
网络爬虫我们可以分为三大类型:
(1)分布式爬虫:Nutch
(2)JAVA爬虫:Crawler4j、WebMagic、WebCollector
(3)非JAVA爬虫:scrapy(基于Python语言开发)
网络爬虫采集数据过程中,经常会遇到被反爬虫机制限制,最常见的就是ip被限制,网站根据ip的访问频率来识别
判断爬虫,当相同的ip频繁的对目标服务器进行访问,那么就会触发服务器的反爬虫机制,这个时候ip就会被限制
或者无法进行访问,爬虫工作将无法继续进行,因此需要借用到万变ip代理来突破ip的限制。
Firefox抓包分析 (拉勾网抓包分析)
python爬虫 • 低调的哥哥 发表了文章 • 16 个评论 • 19908 次浏览 • 2016-05-09 18:30
针对一些JS网页,动态网页在源码中无法看到它的内容,可以通过抓包分析出其JSON格式的数据。 网页通过通过这些JSON数据对网页的内容进行填充,然后就看到网页里显示相关的内容了。
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。
最好用的还是firefox+firebug第三方插件。
接下来以拉勾网为例。
打开firebug功能
www.lagou.com 在左侧栏随便点击一个岗位,以android为例
在firebug中,需要点击“网络”选项卡,然后选择XHR。
Post的信息就是我们需要关注的,点击post的链接
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。post_data = {'first':'true','kd':'Android','pn':'1'}
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。import requests
url = "http://www.lagou.com/jobs/posi ... ot%3B
return_data=requests.post(url,data=post_data)
print return_data.text
呐,打印出来的数据就是返回来的json数据{"code":0,"success":true,"requestId":null,"resubmitToken":null,"msg":null,"content":{"pageNo":1,"pageSize":15,"positionResult":{"totalCount":5000,"pageSize":15,"locationInfo":{"city":null,"district":null,"businessZone":null},"result":[{"createTime":"2016-05-05 17:27:50","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1455217,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术极客云集","industryField":"移动互联网 · 企业服务","score":1372,"district":"西城区","companyLabelList":["弹性工作","敏捷研发","股票期权","年底双薪"],"deliverCount":13,"leaderName":"刘学臣","companySize":"2000人以上","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462440470000,"positonTypesMap":null,"hrScore":77,"flowScore":148,"showCount":6627,"pvScore":73.2258060280967,"plus":"是","businessZones":["新街口","德胜门","小西天"],"publisherId":994817,"loginTime":1462876049000,"appShow":3141,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":99,"adWord":1,"formatCreateTime":"2016-05-05","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-05 18:30:16","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1440576,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术爆棚!","industryField":"移动互联网 · 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18:41:29","companyId":94307,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"宁波海大物联科技有限公司","city":"宁波","salary":"8k-15k","financeStage":"成长型(A轮)","positionId":1070249,"companyLogo":"image2/M00/03/32/CgqLKVXtWiuAUbXgAAB1g_5FW3Y484.png?cc=0.6152940313331783","positionFirstType":"技术","companyName":"海大物联","positionAdvantage":"一流的技术团队,丰厚的薪资回报。","industryField":"移动互联网 · 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17:57:43","companyId":89004,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"学历不限","jobNature":"全职","companyShortName":"温州康宁医院股份有限公司","city":"杭州","salary":"10k-20k","financeStage":"上市公司","positionId":1387825,"companyLogo":"i/image/M00/02/C2/CgqKkVabp--APWTjAACHHJJxyPc207.png","positionFirstType":"技术","companyName":"的的心理","positionAdvantage":"上市公司内部创业项目。优质福利待遇+期权","industryField":"移动互联网 · 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在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
是不是很简单?
如果想获得第2页,第3页的数据呢?
只需要修改pn=x 中的值就可以了。post_data = {'first':'true','kd':'Android','pn':'2'} #获取第2页的内容
如果想要获取全部内容,写一个循环语句就可以了。
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使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。
最好用的还是firefox+firebug第三方插件。
接下来以拉勾网为例。
打开firebug功能
www.lagou.com 在左侧栏随便点击一个岗位,以android为例
在firebug中,需要点击“网络”选项卡,然后选择XHR。
Post的信息就是我们需要关注的,点击post的链接
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。post_data = {'first':'true','kd':'Android','pn':'1'}
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。import requests
url = "http://www.lagou.com/jobs/posi ... ot%3B
return_data=requests.post(url,data=post_data)
print return_data.text
呐,打印出来的数据就是返回来的json数据{"code":0,"success":true,"requestId":null,"resubmitToken":null,"msg":null,"content":{"pageNo":1,"pageSize":15,"positionResult":{"totalCount":5000,"pageSize":15,"locationInfo":{"city":null,"district":null,"businessZone":null},"result":[{"createTime":"2016-05-05 17:27:50","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1455217,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术极客云集","industryField":"移动互联网 · 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在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
是不是很简单?
如果想获得第2页,第3页的数据呢?
只需要修改pn=x 中的值就可以了。post_data = {'first':'true','kd':'Android','pn':'2'} #获取第2页的内容
如果想要获取全部内容,写一个循环语句就可以了。
版权所有,转载请说明出处:www.30daydo.com
查看全部
针对一些JS网页,动态网页在源码中无法看到它的内容,可以通过抓包分析出其JSON格式的数据。 网页通过通过这些JSON数据对网页的内容进行填充,然后就看到网页里显示相关的内容了。
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。
最好用的还是firefox+firebug第三方插件。
接下来以拉勾网为例。
打开firebug功能
www.lagou.com 在左侧栏随便点击一个岗位,以android为例
在firebug中,需要点击“网络”选项卡,然后选择XHR。
Post的信息就是我们需要关注的,点击post的链接
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。
呐,打印出来的数据就是返回来的json数据
在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
是不是很简单?
如果想获得第2页,第3页的数据呢?
只需要修改pn=x 中的值就可以了。
如果想要获取全部内容,写一个循环语句就可以了。
版权所有,转载请说明出处:www.30daydo.com
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。
最好用的还是firefox+firebug第三方插件。
接下来以拉勾网为例。
打开firebug功能
www.lagou.com 在左侧栏随便点击一个岗位,以android为例
在firebug中,需要点击“网络”选项卡,然后选择XHR。
Post的信息就是我们需要关注的,点击post的链接
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。
post_data = {'first':'true','kd':'Android','pn':'1'}
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。
import requests
url = "http://www.lagou.com/jobs/posi ... ot%3B
return_data=requests.post(url,data=post_data)
print return_data.text
呐,打印出来的数据就是返回来的json数据
{"code":0,"success":true,"requestId":null,"resubmitToken":null,"msg":null,"content":{"pageNo":1,"pageSize":15,"positionResult":{"totalCount":5000,"pageSize":15,"locationInfo":{"city":null,"district":null,"businessZone":null},"result":[{"createTime":"2016-05-05 17:27:50","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1455217,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术极客云集","industryField":"移动互联网 · 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18:30:16","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1440576,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术爆棚!","industryField":"移动互联网 · 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在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
是不是很简单?
如果想获得第2页,第3页的数据呢?
只需要修改pn=x 中的值就可以了。
post_data = {'first':'true','kd':'Android','pn':'2'} #获取第2页的内容
如果想要获取全部内容,写一个循环语句就可以了。
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