blocks|key|2813604|text|写一个php或jquery脚本，当用户在你的网站上点击like或share时，就会执行该脚本，然后在fb上分享/点赞，并记录用户信息和他/她分享/点赞的帖子。现在你可以追踪分享你帖子最多的人了。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2813605|PHP/Jquery脚本将充当中间人，所以不要直接使用facebook的分享/点赞脚本。我将尝试找到我为此方法编写的代码。我用过PHP和Mysql。尝试使用JQuery，这将在隐藏进程方面提供更好的结果(我的意思是，无需重新加载页面即可记录数据)。|2813606|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

write a php or jquery script which is executed when user clicks like or share on your website just before actually sharing/like to fb and record the user info and the post he/she shared/liked. Now you can track who shared your post the most.

PHP/Jquery script will act as middle man, so dont use facebook share/like script directly. I will try to find the code I have written for this method. I have used PHP &amp; Mysql. Try to use JQuery this will give a better result in terms of hidding the process (I mean data will be recorded without reloading the page).

blocks|key|3026300|text|在页面的/feed连接上阅读页面上的帖子列表，并跟踪那些在每个帖子上发表帖子和评论的用户的用户it，从而构建一个最常这样做的用户的列表。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3026301|然后将它们存储在某个地方，并在您的系统中决定将奖金发送给谁的部分使用存储的列表。|3026302|例如：|3026303|http://graph.facebook.com/cocacola/feed返回可口可乐页面上的所有最近帖子，您可以跟踪发帖者、评论者、关注者的ID，以确定谁是最活跃的用户|3026304|entityMap|0|LINK|mutability|MUTABLE|url|http://graph.facebook.com/cocacola/feed^0|4|5|0|0|0|0|13|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@$9|U|A|V|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|W|8|@]|D|@]|E|$]]|$1|H|3|I|5|6|7|X|8|@]|D|@]|E|$]]|$1|J|3|K|5|6|7|Y|8|@]|D|@$9|Z|A|10|1|11]]|E|$]]|$1|L|3|-4|5|6|7|12|8|@]|D|@]|E|$]]]|M|$N|$5|O|P|Q|E|$R|S]]]]

Read the list of posts on the page at the page's <code>/feed</code> connection and track the user IDs of those users who posted and commented on each post, building a list of who does it the most often.

Then store those somewhere and use the stored list in the part of your system which decides who to send the bonuses to.

e.g.

<a href="http://graph.facebook.com/cocacola/feed" rel="nofollow">http://graph.facebook.com/cocacola/feed</a> returns all the recent posts on the cocacola page, and you could track the IDs of the posters, commenters, likers, to determine who are the most active users

blocks|key|189488|text|有很多方法，我将从最简单的开始...|type|unstyled|depth|inlineStyleRanges|entityRanges|data|189489|189490|说有一个品牌名称或#标签，然后你可以像这样使用搜索应用编程接口：https://graph.facebook.com/search?q=watermelon&type=post&limit=1000，然后遍历数据，比如说最新的1000+(+limit参数)，从所有状态中找出模式用户(出现最多的那个)。|ordered-list-item|offset|length|style|CODE|189491|说这只是一个页面，然后你可以访问/<page>/posts端点(例如：https://developers.facebook.com/tools/explorer?method=GET&path=cocacola%252Fposts)，因为它将给你一个最新帖子的列表(它们是分页的，所以你可以遍历结果)，这将包括一个喜欢这些帖子和评论它们的人的列表；然后，您可以找到模式用户等。|189492|189493|就代码而言，您可以使用任何东西，您甚至可以使用简单的web服务器(如MAMP或WAMP等)在您的机器上本地运行此代码。或CLI。响应完全是JSON，现代语言能够处理这一点。下面是我为Python中的第一个方法编写的一个快速示例：|189494|import+json
import+urllib2
from+collections+import+Counter

def+search():
++req+=+urllib2.urlopen('https://graph.facebook.com/search?q=watermelon&type=post')
++res+=+json.loads(req.read())
++users+=+[]

++for+status+in+res['data']:
++++users.append(status['from']['name'])

++count+=+Counter(users)

++print+count.most_common()

if+__name__+==+'__main__':
++search()|code-block|syntax|javascript|189495|我把它放在github上，如果你以后想参考它的话：https://github.com/ahmednuaman/python-facebook-search-mode-user/blob/master/search.py|189496|当你运行代码时，它将返回搜索中的模式用户的有序列表，例如那些发布了最多带有特定搜索标签的评论的用户。这可以很容易地适应第二种方法，如果你想使用它的话。|189497|entityMap|0|LINK|mutability|MUTABLE|url|https://graph.facebook.com/search?q=watermelon&type=post&limit=1000|1|https://developers.facebook.com/tools/explorer?method=GET&path=cocacola%252Fposts|2|https://github.com/ahmednuaman/python-facebook-search-mode-user/blob/master/search.py^0|0|0|3C|5|W|1V|0|0|G|D|Z|27|1|0|0|0|0|P|2D|2|0|0^^$0|@$1|2|3|4|5|6|7|19|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|1B|8|@$F|1C|G|1D|H|I]]|9|@$F|1E|G|1F|1|1G]]|A|$]]|$1|J|3|K|5|E|7|1H|8|@$F|1I|G|1J|H|I]]|9|@$F|1K|G|1L|1|1M]]|A|$]]|$1|L|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|1O|8|@]|9|@]|A|$]]|$1|O|3|P|5|Q|7|1P|8|@]|9|@]|A|$R|S]]|$1|T|3|U|5|6|7|1Q|8|@]|9|@$F|1R|G|1S|1|1T]]|A|$]]|$1|V|3|W|5|6|7|1U|8|@]|9|@]|A|$]]|$1|X|3|-4|5|6|7|1V|8|@]|9|@]|A|$]]]|Y|$Z|$5|10|11|12|A|$13|14]]|15|$5|10|11|12|A|$13|16]]|17|$5|10|11|12|A|$13|18]]]]

There are a number of ways, I'll start with the easiest...

<ol>
<li>Say there's a brand name or #hashtag involved then you could user the search API as such: <a href="https://graph.facebook.com/search?q=watermelon&amp;type=post&amp;limit=1000" rel="nofollow">https://graph.facebook.com/search?q=watermelon&amp;type=post&amp;limit=1000</a> and then iterate over the data, say the latest 1000 (the <code>limit</code> param) to find out mode user (the one that comes up the most) out of all the statuses.</li>
<li>Say it's just a page, then you can access the <code>/&lt;page&gt;/posts</code> end point (eg: <a href="https://developers.facebook.com/tools/explorer?method=GET&amp;path=cocacola%2Fposts" rel="nofollow">https://developers.facebook.com/tools/explorer?method=GET&amp;path=cocacola%2Fposts</a>) as that'll give you a list of the latest posts (they're paginated so you can iterate over the results) and this'll include a list of the people who like the posts and who comment on them; you can then find out the mode user and so on.</li>
</ol>

In terms of the code you can use anything, you can even run this locally on your machine using a simple web server (such as MAMP or WAMP, etc...) or CLI. The response is all JSON and modern languages are able to handle this. Here's a quick example I knocked up for the first method in Python:

<pre><code>import json
import urllib2
from collections import Counter

def search():
 req = urllib2.urlopen('https://graph.facebook.com/search?q=watermelon&amp;type=post')
 res = json.loads(req.read())
 users = []

 for status in res['data']:
 users.append(status['from']['name'])

 count = Counter(users)

 print count.most_common()

if __name__ == '__main__':
 search()
</code></pre>

I've stuck it up on github if you want to refer to it later: <a href="https://github.com/ahmednuaman/python-facebook-search-mode-user/blob/master/search.py" rel="nofollow">https://github.com/ahmednuaman/python-facebook-search-mode-user/blob/master/search.py</a>

When you run the code it'll return an ordered list of the mode users within that search, eg the ones who've posted the most comments with the specific search tag. This can be easily adapted for the second method should you wish to use it.

blocks|key|2813840|text|你的问题很好，但很难。(实际上，在一开始，有一件事从我的脑海中冒出来，这是不可能的。因此，我构建了一个完全不同的解决方案...)最好的方法之一是创建一个网络，您的观众可以在需要其社交网络页面的官方URL的形式中注册，而且，他们可以选择没有这种网络：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2813841|2813842|“你想分享一些我们的页面吗？请先在这里注册..“|blockquote|2813843|2813844|2813845|因此，他们可以获得一个特定的URL，当他们在你的网站上时，他们想要分享这个URL，但是当他们访问这个特定的URL时，他们不知道他们在跟踪中。(每次访问一个特定的网址时，都会跟踪一个in地址，并将访问次数记录在数据库中的%2B%2B1中。)给他们一个动态的URL在你的网站顶部，在每个页面的文本区，以跟踪他们。或者使用脚本自动在站点的URL上添加跟踪查询字符串。|offset|length|style|BOLD|2813846|如果你的浏览者真的喜欢你的网站，他们会注册成为你的会员。但是这件事是不同的，会员网络和上面提到的网络有很大的不同。|2813847|但我认为，你也可以使用Google+Analytics来完全追踪一些不是来自Digital+Point这样的动态查询字符串的URL的引用，而不是来自其他社交网络的引用，因为由于查询路径的原因，你不会在那种社交网络中获得确切的引用路径。但是，你可以使用它来跟踪其他网络。此外，AddThis+Analytics对于非查询字符串的URL也很好。|2813848|Google+Analytics上的两种推荐位于标准REPORTS的“Traffic+Sources”菜单下。|2813849|2813850|流量源|unordered-list-item|2813851|Sources+|2813852|Referrals|2813853|2813854|2813855|2813856|​|2813857|-+Social+
++++-+Network+Referrals|code-block|syntax|javascript|2813858|2813859|2813860|这个答案相当混乱，但有时也很有用。除此之外呢？请查看以下链接：|2813861|2813862|Publishing+with+an+App+Access+Token+-+Facebook+Developers|ordered-list-item|2813863|Facebook+for+Websites+-+Facebook+Developers|2813864|Like+-+Facebook+Developers|2813865|Open+Graph+Overview+-+Facebook+Developers|2813866|2813867|entityMap|0|LINK|mutability|MUTABLE|url|http://www.google.com/analytics/|1|https://forums.digitalpoint.com/|2|http://www.addthis.com/analytics|3|4|https://developers.facebook.com/docs/opengraph/howtos/publishing-with-app-token/|5|https://developers.facebook.com/docs/guides/web/|6|https://developers.facebook.com/docs/opengraph/guides/og.likes/|7|https://developers.facebook.com/docs/opengraph/overview/^0|0|0|0|0|0|31|3|0|0|S|0|B|G|0|12|D|1|3T|H|2|0|O|9|0|G|3|0|0|1|2|2|1|0|0|0|0|0|0|0|0|0|1L|4|0|0|17|5|0|0|Q|6|0|0|15|7|0|0^^$0|@$1|2|3|4|5|6|7|2B|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|2C|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|2D|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|2E|8|@]|9|@]|A|$]]|$1|G|3|-4|5|6|7|2F|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|2G|8|@$J|2H|K|2I|L|M]]|9|@]|A|$]]|$1|N|3|O|5|6|7|2J|8|@$J|2K|K|2L|L|M]]|9|@]|A|$]]|$1|P|3|Q|5|6|7|2M|8|@]|9|@$J|2N|K|2O|1|2P]|$J|2Q|K|2R|1|2S]|$J|2T|K|2U|1|2V]]|A|$]]|$1|R|3|S|5|6|7|2W|8|@$J|2X|K|2Y|L|M]]|9|@$J|2Z|K|30|1|31]]|A|$]]|$1|T|3|-4|5|6|7|32|8|@]|9|@]|A|$]]|$1|U|3|V|5|W|7|33|8|@]|9|@]|A|$]]|$1|X|3|Y|5|W|7|34|8|@]|9|@]|A|$]]|$1|Z|3|10|5|W|7|35|8|@]|9|@]|A|$]]|$1|11|3|-4|5|6|7|36|8|@]|9|@]|A|$]]|$1|12|3|-4|5|6|7|37|8|@]|9|@]|A|$]]|$1|13|3|-4|5|6|7|38|8|@]|9|@]|A|$]]|$1|14|3|15|5|6|7|39|8|@]|9|@]|A|$]]|$1|16|3|17|5|18|7|3A|8|@]|9|@]|A|$19|1A]]|$1|1B|3|15|5|6|7|3B|8|@]|9|@]|A|$]]|$1|1C|3|15|5|6|7|3C|8|@]|9|@]|A|$]]|$1|1D|3|1E|5|6|7|3D|8|@]|9|@]|A|$]]|$1|1F|3|-4|5|6|7|3E|8|@]|9|@]|A|$]]|$1|1G|3|1H|5|1I|7|3F|8|@]|9|@$J|3G|K|3H|1|3I]]|A|$]]|$1|1J|3|1K|5|1I|7|3J|8|@]|9|@$J|3K|K|3L|1|3M]]|A|$]]|$1|1L|3|1M|5|1I|7|3N|8|@]|9|@$J|3O|K|3P|1|3Q]]|A|$]]|$1|1N|3|1O|5|1I|7|3R|8|@]|9|@$J|3S|K|3T|1|3U]]|A|$]]|$1|1P|3|-4|5|6|7|3V|8|@]|9|@]|A|$]]|$1|1Q|3|-4|5|6|7|3W|8|@]|9|@]|A|$]]]|1R|$1S|$5|1T|1U|1V|A|$1W|1X]]|1Y|$5|1T|1U|1V|A|$1W|1Z]]|20|$5|1T|1U|1V|A|$1W|21]]|22|$5|1T|1U|1V|A|$1W|1X]]|23|$5|1T|1U|1V|A|$1W|24]]|25|$5|1T|1U|1V|A|$1W|26]]|27|$5|1T|1U|1V|A|$1W|28]]|29|$5|1T|1U|1V|A|$1W|2A]]]]

Your question is nice, but it is quite hard.. (Actually, in the beginning, there's a thing that came from my mind that this is impossible. So, I build a quite different solution...) One of the best ways is to create a network where your viewers can register in the form that required the official URLs of their social networking pages, and also, they could choose that they doesn't have this kind of network:

<blockquote>
 “Do you want to share some of our page? Please register here first..”
</blockquote>

So, they can get a specific URL that they've wanted to share when they're in your website, but they doesn't know the they're in tracing when they visited that specific URL.. (Every time a specific URL get visited, an I.P. get tracked and the number of visits get ++1 in a database.) Give them a dynamic URL on the top of your website that's in text area of every pages to track them. Or use scripting to automated the adding of a tracing query string on the URLs of your site.

I think there's a free software to build an affiliate network to make this easy! If your viewers really love your website, they'll registered to be an affiliate. But this thing is different, affiliate network is quite different from a network that mentioned in the paragraphs above..

But I think, you can also use <a href="http://www.google.com/analytics/" rel="nofollow">Google Analytics</a> to fully trace some referrals that didn't came from the URLs with dynamic QUERY STRING like <a href="https://forums.digitalpoint.com/" rel="nofollow">Digital Point</a>, but not from the other social network like Facebook 'cause you wouldn't get the exact Referral Paths with that kind of social network because of the query path. However you can use it to track the other networks. Also, <a href="http://www.addthis.com/analytics" rel="nofollow">AddThis Analytics</a> is good for non-query string URLs.

The two kinds of referrals on <a href="http://www.google.com/analytics/" rel="nofollow">Google Analytics</a> are under of “Traffic Sources” menu of STANDARD REPORTS..

<ul>
<li>Traffic Sources
<ul>
<li>Sources
<ul>
<li>Referrals</li>
</ul></li>
<li>Social
<ul>
<li>Network Referrals</li>
</ul></li>
</ul></li>
</ul>

This answer is pretty messy, but sometimes, quite useful.. Other than that? Please check these links below:

<ol>
<li><a href="https://developers.facebook.com/docs/opengraph/howtos/publishing-with-app-token/" rel="nofollow">Publishing with an App Access Token - Facebook Developers</a></li>
<li><a href="https://developers.facebook.com/docs/guides/web/" rel="nofollow">Facebook for Websites - Facebook Developers</a></li>
<li><a href="https://developers.facebook.com/docs/opengraph/guides/og.likes/" rel="nofollow">Like - Facebook Developers</a></li>
<li><a href="https://developers.facebook.com/docs/opengraph/overview/" rel="nofollow">Open Graph Overview - Facebook Developers</a></li>
</ol>

blocks|key|2813904|text|基于Ahmed+Nuaman+answer+(也请给他们%2B1)，我准备了这段代码：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2813905|用法示例：|2813906|分析http://www.facebook.com/cern上最活跃的facebook用户|2813907|$+python+FacebookFanAnalyzer.py+cern+likes|style|CODE|2813908|$+python+FacebookFanAnalyzer.py+cern+comments|2813909|$+python+FacebookFanAnalyzer.py+cern+likes+comments|2813910|注释:不支持共享和内部注释|BOLD|2813911|文件:+FacebookFanAnalyzer.py|2813912|#+-*-+coding:+utf-8+-*-
import+json
import+urllib2
import+sys
from+collections+import+Counter
reload(sys)
sys.setdefaultencoding('utf8')
###############################################################
###############################################################
####+PLEASE+PASTE+HERE+YOUR+TOKEN,+YOU+CAN+GENERETE+IT+ON:
####++++https://developers.facebook.com/tools/explorer
####+GENERETE+AND+PASTE+NEW+ONE,+WHEN+THIS+WILL+STOP+WORKING

token+=+'AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx'

attrib_limit+=+100
post_limit+=+100
###############################################################
###############################################################


class+FacebookFanAnalyzer(object):

++++def+__init__(self,+fanpage_name,+post_limit,+attribs,+attrib_limit):
++++++++self.fanpage_name+=+fanpage_name
++++++++self.post_limit+=+post_limit
++++++++self.attribs+=+attribs
++++++++self.attrib_limit+=+attrib_limit
++++++++self.data={}

++++def+make_request(self,+attrib):
++++++++global+token
++++++++url+=+'https://graph.facebook.com/'+%2B+self.fanpage_name+%2B+'/posts?limit='+%2B+str(self.post_limit)+%2B+'&fields='+%2B+attrib+%2B+'.limit('%2Bstr(self.attrib_limit)%2B')&access_token='+%2B+token
++++++++print+"Requesting+'"+%2B+attrib+%2B+"'+data:+"+%2B+url
++++++++req+=+urllib2.urlopen(url)
++++++++res+=+json.loads(req.read())

++++++++if+res.get('error'):
++++++++++++print+res['error']
++++++++++++exit()

++++++++return+res

++++def+grep_data(self,+attrib):
++++++++res=self.make_request(attrib)
++++++++lst=[]
++++++++for+status+in+res['data']:
++++++++++++if+status.get(attrib):
++++++++++++++++for+person+in+status[attrib]['data']:
++++++++++++++++++++if+attrib+==+'likes':
++++++++++++++++++++++++lst.append(person['name'])
++++++++++++++++++++elif+attrib+==+'comments':
++++++++++++++++++++++++lst.append(person['from']['name'])
++++++++return+lst


++++def+save_as_html(self,+attribs):
++++++++filename+=+self.fanpage_name+%2B+'.html'
++++++++f+=+open(filename,+'w')+

++++++++f.write(u'<html><head></head><body>')
++++++++f.write(u'<table+border="0"><tr>')
++++++++for+attrib+in+attribs:
++++++++++++f.write(u'<td>'%2Battrib%2B'</td>')
++++++++f.write(u'</tr>')

++++++++for+attrib+in+attribs:
++++++++++++f.write(u'<td+valign="top"><table+border="1">')

++++++++++++for+d+in+self.data[attrib]:
++++++++++++++++f.write(u'<tr><td>'+%2B+unicode(d[0])+%2B+u'</td><td>'+%2Bunicode(d[1])+%2B+u'</td></tr>')

++++++++++++f.write(u'</table></td>')

++++++++f.write(u'</tr></table>')
++++++++f.write(u'</body>')
++++++++f.close()
++++++++print+"Saved+to+"+%2B+filename

++++def+fetch_data(self,+attribs):
++++++++for+attrib+in+attribs:
++++++++++++self.data[attrib]=Counter(self.grep_data(attrib)).most_common()

def+main():
++++global+post_limit
++++global+attrib_limit

++++fanpage_name+=+sys.argv[1]+
++++attribs+=+sys.argv[2:]+

++++f+=+FacebookFanAnalyzer(fanpage_name,+post_limit,+attribs,+attrib_limit)
++++f.fetch_data(attribs)
++++f.save_as_html(attribs)

if+__name__+==+'__main__':
++++main()|code-block|syntax|javascript|2813913|输出：|2813914|Requesting+'comments'+data:+https://graph.facebook.com/cern/posts?limit=50&fields=comments.limit(50)&access_token=AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx
Requesting+'likes'+data:+https://graph.facebook.com/cern/posts?limit=50&fields=likes.limit(50)&access_token=AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx
Saved+to+cern.html|2813915|​|2813916|📷|atomic|2813917|2813918|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/a/16256373/338581|1|http://www.facebook.com/cern|2|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/ed239baf9150a39753373fbf36a84d60.png|imageAlt^0|F|6|0|0|0|2|S|1|0|0|16|0|0|19|0|0|1F|0|0|D|0|0|0|0|3|0|0|0|0|1|2|0|0^^$0|@$1|2|3|4|5|6|7|1P|8|@]|9|@$A|1Q|B|1R|1|1S]]|C|$]]|$1|D|3|E|5|6|7|1T|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|1U|8|@]|9|@$A|1V|B|1W|1|1X]]|C|$]]|$1|H|3|I|5|6|7|1Y|8|@$A|1Z|B|20|J|K]]|9|@]|C|$]]|$1|L|3|M|5|6|7|21|8|@$A|22|B|23|J|K]]|9|@]|C|$]]|$1|N|3|O|5|6|7|24|8|@$A|25|B|26|J|K]]|9|@]|C|$]]|$1|P|3|Q|5|6|7|27|8|@$A|28|B|29|J|R]]|9|@]|C|$]]|$1|S|3|T|5|6|7|2A|8|@]|9|@]|C|$]]|$1|U|3|V|5|W|7|2B|8|@]|9|@]|C|$X|Y]]|$1|Z|3|10|5|6|7|2C|8|@$A|2D|B|2E|J|R]]|9|@]|C|$]]|$1|11|3|12|5|W|7|2F|8|@]|9|@]|C|$X|Y]]|$1|13|3|14|5|6|7|2G|8|@]|9|@]|C|$]]|$1|15|3|16|5|17|7|2H|8|@]|9|@$A|2I|B|2J|1|2K]]|C|$]]|$1|18|3|14|5|6|7|2L|8|@]|9|@]|C|$]]|$1|19|3|-4|5|6|7|2M|8|@]|9|@]|C|$]]]|1A|$1B|$5|1C|1D|1E|C|$1F|1G]]|1H|$5|1C|1D|1E|C|$1F|1I]]|1J|$5|1K|1D|1L|C|$1M|1N|1O|-4]]]]

Based on Ahmed Nuaman <a href="https://stackoverflow.com/a/16256373/338581">answer</a> (please also give them +1), I have prepared this piece of code:

example of usage:

To analyze most active facebook users of <a href="http://www.facebook.com/cern" rel="nofollow noreferrer">http://www.facebook.com/cern</a>

<code>$ python FacebookFanAnalyzer.py cern likes</code> 

<code>$ python FacebookFanAnalyzer.py cern comments</code>

<code>$ python FacebookFanAnalyzer.py cern likes comments</code>

notes: shares and inner comments are not supported

file: FacebookFanAnalyzer.py

<pre><code># -*- coding: utf-8 -*-
import json
import urllib2
import sys
from collections import Counter
reload(sys)
sys.setdefaultencoding('utf8')
###############################################################
###############################################################
#### PLEASE PASTE HERE YOUR TOKEN, YOU CAN GENERETE IT ON:
#### https://developers.facebook.com/tools/explorer
#### GENERETE AND PASTE NEW ONE, WHEN THIS WILL STOP WORKING

token = 'AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx'

attrib_limit = 100
post_limit = 100
###############################################################
###############################################################


class FacebookFanAnalyzer(object):

 def __init__(self, fanpage_name, post_limit, attribs, attrib_limit):
 self.fanpage_name = fanpage_name
 self.post_limit = post_limit
 self.attribs = attribs
 self.attrib_limit = attrib_limit
 self.data={}

 def make_request(self, attrib):
 global token
 url = 'https://graph.facebook.com/' + self.fanpage_name + '/posts?limit=' + str(self.post_limit) + '&amp;fields=' + attrib + '.limit('+str(self.attrib_limit)+')&amp;access_token=' + token
 print "Requesting '" + attrib + "' data: " + url
 req = urllib2.urlopen(url)
 res = json.loads(req.read())

 if res.get('error'):
 print res['error']
 exit()

 return res

 def grep_data(self, attrib):
 res=self.make_request(attrib)
 lst=[]
 for status in res['data']:
 if status.get(attrib):
 for person in status[attrib]['data']:
 if attrib == 'likes':
 lst.append(person['name'])
 elif attrib == 'comments':
 lst.append(person['from']['name'])
 return lst


 def save_as_html(self, attribs):
 filename = self.fanpage_name + '.html'
 f = open(filename, 'w') 

 f.write(u'&lt;html&gt;&lt;head&gt;&lt;/head&gt;&lt;body&gt;')
 f.write(u'&lt;table border="0"&gt;&lt;tr&gt;')
 for attrib in attribs:
 f.write(u'&lt;td&gt;'+attrib+'&lt;/td&gt;')
 f.write(u'&lt;/tr&gt;')

 for attrib in attribs:
 f.write(u'&lt;td valign="top"&gt;&lt;table border="1"&gt;')

 for d in self.data[attrib]:
 f.write(u'&lt;tr&gt;&lt;td&gt;' + unicode(d[0]) + u'&lt;/td&gt;&lt;td&gt;' +unicode(d[1]) + u'&lt;/td&gt;&lt;/tr&gt;')

 f.write(u'&lt;/table&gt;&lt;/td&gt;')

 f.write(u'&lt;/tr&gt;&lt;/table&gt;')
 f.write(u'&lt;/body&gt;')
 f.close()
 print "Saved to " + filename

 def fetch_data(self, attribs):
 for attrib in attribs:
 self.data[attrib]=Counter(self.grep_data(attrib)).most_common()

def main():
 global post_limit
 global attrib_limit

 fanpage_name = sys.argv[1] 
 attribs = sys.argv[2:] 

 f = FacebookFanAnalyzer(fanpage_name, post_limit, attribs, attrib_limit)
 f.fetch_data(attribs)
 f.save_as_html(attribs)

if __name__ == '__main__':
 main()
</code></pre>

Output:

<pre><code>Requesting 'comments' data: https://graph.facebook.com/cern/posts?limit=50&amp;fields=comments.limit(50)&amp;access_token=AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx
Requesting 'likes' data: https://graph.facebook.com/cern/posts?limit=50&amp;fields=likes.limit(50)&amp;access_token=AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx
Saved to cern.html
</code></pre>

<img src="https://i.stack.imgur.com/0sE3P.png" alt="enter image description here">

I am creating a new website. I want to promote it using another my topic-related web service. I want to send some gifts to people which popularized my first website and fanpage. How to filter out lets say 20 users which likes/shares/comments most of my posts?

Any suitable programming language will be good.

[EDIT]

Ok... to be honest I looking a way to parse a fanpage that is not mine. I want to send gifts to the most active users of fanpage of my competition, to simply bribe them a little :)

How to filter out the most active users from fan page?

数据库

服务器

Python

JSON

我正在创建一个新网站。我想使用另一个与我的主题相关的web服务来推广它。我想送一些礼物给人们，让我的第一个网站和粉丝页面更受欢迎。如何过滤掉20个喜欢/分享/评论我大部分帖子的用户？任何合适的编程语言都是好的。编辑好的..。老实说，我正在寻找一种方法来解析一个不是我的粉丝页面。我想给我的竞争对手的粉丝页面上最活跃的用户...

问如何从粉丝页面中过滤出最活跃的用户？
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问如何从粉丝页面中过滤出最活跃的用户？
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