I want to find all questions tagged on the meta sites of all Stack Exchange sites.

Is there a better way than searching manually on each individual site?


Simplest Approach

Use Google-fu. Combine the site operator, * (wildcard) and your query.

site:meta.*.stackexchange.com <query>

For example, site:meta.*.stackexchange.com community-ads

enter image description here

Longer Accurate Approach

Use the filters feature on Stack Exchange main site.

enter image description here

Which results in:

enter image description here

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If you're looking for sites where a tag appears (as opposed to wanting to search the actual questions containing that tag):

Building on another answer, type this into Google:

site:*/tags/{tag you want}/info

This gives you a nice list of all the sites containing that tag, with each site appearing only once.

To include more sites, but duplicate results (and increase the chance of including non-SE sites), remove /info:

site:*/tags/{tag you want}

This could potentially include a few non-Stack Exchange sites and is not limited to Meta, but trying to narrow it down with something like the below doesn't work so well.

site:*.stackexchange.com/tags/{tag you want}/info

For Meta-only, you can consider simply adding "meta" to the search: (although that's not perfect)

site:*/tags/{tag you want}/info meta

You might want to include similar results that Google excludes by default (link optionally appearing at the bottom of the results or add &filter=0 to the URL).


This might not find all sites, but it can be a good starting point to find a tag.

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  • Strange that site:*.stackexchange.com/tags/community-ads/info returns only 1 result. – Nicolas Raoul Aug 24 '17 at 3:40

Another option is to use SEDE. This query returns all questions on Stack Exchange, newest first.

The top results at the moment of writing (August 23rd, 2017) were:

enter image description here

For reference, here is the complete query (with help of this multi-db query template):

-- result table, don't rename and keep the site column
create table #results (site nvarchar(250), id int, creationdate datetime, title nvarchar(250), score int);

declare @sql nvarchar(max) = ''   -- holds build up sql string

-- build one biq union sql, for each db
select @sql = @sql 
+ iif( len(@sql) > 1 
     , 'union'
     , 'insert into #results'
) +
-- here goes the per site query, fully qualify the database objects
select ''' + name + '''
     , p.id
     , p.creationdate
     , p.title
     , p.score
from ' + quotename(name) + '.dbo.posts as p
where p.tags LIKE ''%<' + ##tagName:string## + '>%'' collate sql_latin1_general_cp1_ci_ai
from sys.databases
where database_id > 5
-- and (name not like '%.Meta' or name = 'StackExchange.Meta')

--print @sql

-- execute it
exec (@sql)

-- show results
select site,
       -- URL builder from Lamak http://stackoverflow.com/a/38129701
      + case PARSENAME(site,1)
        when 'audio' then 'avp'
        else PARSENAME(site,1)
      + coalesce('.' 
        + case PARSENAME(site,2)
          when 'audio' then 'avp'
          else PARSENAME(site,2)
          end , '')
      + IIF(patindex('%.MathOverflow%',site) > 0
      , ''
      , coalesce('.' + PARSENAME(site,3), '')
      + IIF(patindex('%.MathOverflow%',site) > 0
      , '.net'
      , '.com'
      + '/q/'
      + cast(id as nvarchar) + '|' + title as 'question'
      -- rest of columns
      , creationdate
      , score
from #results
order by creationdate desc

drop table #results

Note that SEDE is updated once a week, on Sunday morning.

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You could go to https://stackexchange.com/ and put the tag [community-ads] into the search box. (Or some other tag which you are interested in.) However, this search does not have various ways of sorting the search results which can be used when searching on a specific site. There is also no possibility to restrict this to meta sites. (There are some tags which appear both on per-site-metas and on main sites.)

Still, if you're interested only in some questions, you might be able to restrict the search query by adding more keywords. For example, here is the search for [community-ads] 2020.

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