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December 25, 2022 00:43
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import string | |
import sys | |
import requests | |
import whois | |
from nltk import tokenize | |
BOOKFILE = sys.argv[1] | |
OUTPUTFILE = BOOKFILE + '.possible-domains.txt' | |
tlds = [] | |
known_unavailable = ['smile', 'windows','active','amazon','apple','audible', | |
'bank','baseball','basketball','boots','case','drive', | |
'fast','fire','fly','museum','origins','post','prime', | |
'silk','weather'] | |
r = requests.get("https://data.iana.org/TLD/tlds-alpha-by-domain.txt") | |
for d in r.text.splitlines(): | |
if d.startswith("#") or d.startswith('XN--'): | |
continue | |
d = d.lower() | |
if d not in known_unavailable: | |
tlds.append(d) | |
with open(BOOKFILE, 'r') as f: | |
md = ' '.join([l.strip() for l in f.readlines()]) | |
md_sents = tokenize.sent_tokenize(md) | |
possible_domains = {} | |
for s in md_sents: | |
wl = tokenize.word_tokenize(s) | |
wl = [w.lower() for w in wl] | |
wl = [''.join([c for c in w if c in string.ascii_lowercase]) for w in wl] | |
wl = [w for w in wl if w] | |
for i, w in enumerate(wl): | |
if (i > 1 and w in tlds and len(w) > 3 | |
and len(wl[i-1]) > 5 and len(wl[i-2]) > 5): | |
full_domain = '.'.join([wl[i-2], wl[i-1], w]) | |
try: | |
d = whois.query(full_domain.split('.',1)[1]) | |
possible_domains[full_domain] = 'reg' if d else 'unreg' | |
except (whois.exceptions.UnknownTld, | |
whois.exceptions.FailedParsingWhoisOutput): | |
possible_domains[full_domain] = 'unknown' | |
emoji_prefix = {'reg':'❌', 'unreg':'✔️', 'unknown':'❔'} | |
with open(OUTPUTFILE, 'w') as f: | |
for d in possible_domains: | |
f.write(f'{emoji_prefix[possible_domains[d]]} {d}\n') |
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This script was expanded into a better and more robust package, now available on Github.