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问题:
I have integrated the Facebook "Like" button into a lot of pages in my site. I want to display the most "Liked" pages on my site in a list, but I can't figure out how to get that data from Facebook in one request. So far, I have been able to get the "Like" count for individual pages using the following FQL query:
SELECT share_count, like_count, comment_count, total_count
FROM link_stat
WHERE url="http://www.mysite.com/some-page"
However, getting the count for each page on my site one at a time is not really feasible. Aside from having a large number of pages, new pages are being created constantly (new user profiles, new blogs and blog articles, etc), which would make getting complete statistics for my site a complicated process and would involve calling Facebook's API thousands of times.
Is there a way to get a count of how many times each page on my domain has been "Liked" in one request? Or just the top 10 most "Liked" pages, or something similar?
回答1:
Actually I would do it this way:
$arrayOfPages = array('url1', 'url2', 'url3');
$listOfPages = implode(',', $arrayOfPages);
SELECT share_count, like_count, comment_count, total_count, url
FROM link_stat
WHERE url IN ($listOfPages)
That would give you all the data with the URL as a unique identifier without having to break Facebook's policy against fake users. You can dynamically create the $arrayOfPages
variable from a query on your site's database.
回答2:
In continuation to Salil's answer, here are the some of the major APIs sharedcount.com are using (full list here: http://sharedcount.com/documentation.php)
You can use sharedcount's API to get a general summary, or write something yourself using the APIs:
- Facebook: http://api.ak.facebook.com/restserver.php?v=1.0&method=links.getStats&urls=%%URL%%&format=json
- Twitter: http://urls.api.twitter.com/1/urls/count.json?url=%%URL%%&callback=twttr.receiveCount
Google +1 +1 counts are retrieved via a JSON-RPC POST call that requires an API key (To get a google API key - https://developers.google.com/+/api/oauth#apikey):
POST URL:
https://clients6.google.com/rpc?key=%%API-KEY%%
POST Body:
[{"method":"pos.plusones.get","id":"p","params":{"nolog":true,"id":"%%URL%%","source":"widget","userId":"@viewer","groupId":"@self"},"jsonrpc":"2.0","key":"p","apiVersion":"v1"}]
回答3:
It will be difficult to get FB likes for all your pages in one query, but you can get individual share count for every page of your site. Apart from the share count you can also get the breakup of numbers for individual social network for which your site page is shared. Insert you domain name at http://sharedcount.com/?url=http%3A%2F%2Fwww.parasitech.net%2F with appropriate suggestions provided to you. You can get numbers for Facebook, Twitter, Google+, Diggs, Linkedin, Google Buzz, Delicious and StumbleUpon.
回答4:
Apparently there's no 'LIKE' in FQL. Which was my first suggestion..
Though you can use the "IN" operator, like so:
SELECT share_count, like_count, comment_count, total_count
FROM link_stat
WHERE "http://www.mysite.com/" IN url
ORDER BY like_count
LIMIT 10;
回答5:
1) create a fake user on fb which will likes only pages from your domain or some other way to save your urls in fb with possibility to get them by FQL later
2) query:
SELECT share_count, like_count, comment_count, total_count
FROM link_stat WHERE url in (SELECT object_id FROM like WHERE user_id="fake_user_id")
3) don`t forget about decrement on 1 each like count ;), sort and show
回答6:
Maybe you can just query the number of likes for each page each time the page is viewed. This won't be precise, but keeping in mind that the most popular pages will be viewed more often it might be good enough.
Additionally, you can use a batch process to query the number of likes of all the page or at least the top N last created ones every couple of hours. Most of the time you won't get the correct result, but in most cases your users don't need the correct result but a good enough approximation.
回答7:
If you just need the count from every page, Super Social Media Tracker could provide that.
http://apps.microsoft.com/windows/en-US/app/super-social-media-tracker/a56c8971-42e2-4eb4-9b05-7e52233b4e1e
But it's slow for massive pages.
回答8:
After some looking around, we may be better off using FQL with graph API:
http://graph.facebook.com/fql?q=select%20comment_count%2C%20share_count%2C%20like_count%20from%20link_stat%20where%20url%20%3D%20%22http%3A%2F%2Fmashable.com%2F2013%2F01%2F30%2Ffacebook-twitter-blackberry-10%2F%22
Results are
{
"data": [
{
"comment_count": 3,
"share_count": 91,
"like_count": 5
}
]
}