A commandline tool that searches a given dictionary file for possible domain names created by simply inserting a dot in the word. By default, it will search all existing top-level domains, but you can also provide a list of domains to search.
Optionally, you can also have the tool check for dns availability, using the
--verify
parameter. It will retry queries that time out, until they're all
queried, or if the same list of domains keep giving timeouts, whichever comes
first.
npm install -g domainsearch
domainsearch dictionaryfile
or domainsearch --word myword
One of either dictionary or word must be given.
--dictionary, -d
— Specify the dictionary file to use--word, -w
— Don't use a dictionary, but rather just use one specific word--domains, -D
— Specify a comma-separated list of top-level domains to search (for example 'ga, it, net')--verify, -V
— Check if the domains are available for registration--sort, -s
— Alphabetically sort the output--alldomains, -a
— Include all existing top-level domains, and not only ones that are known to be available for registration--include-nonsplit, -i
— For the word "delicious", look for available top domains like "delicious.com", and not just clever constructs like "delicio.us"--exclude-xn, -x
— Exclude domains that start with XN--
To search all existing top-level domains for Swedish words, without verification:
domainsearch dictionaries/swedish.dic --alldomains
To search all existing top-level domains for Swedish words, with verification:
domainsearch dictionaries/swedish.dic --verify --alldomains
To search only a few top-level domains for Swedish words, without verification:
domainsearch dictionaries/swedish.dic --domains 'ga, se, zippo'
To search the entire english dictionary for available [word.domain] domains,
excluding domains that start with XN--, verify availability, only look at top level
domains that are possible to register, sort the output and store it in us.txt
:
domainsearch dictionaries/usenglish.dic --verify --exclude-xn --sort > us.txt
Be aware a big search like this takes something like 40 minutes to complete.