Python tldextract.extract函数代码示例

def insert(data):
    if data.strip():
        con = MySQLdb.connect(host="localhost", # your host, usually localhost
                             user="root", # your username
                              passwd="1234", # your password
                              db="rabbitmq") # name of the data base

        cur = con.cursor()
        query="insert into rabbitmq (url,domain,ttl,class,type,ip,worker)values(%s,%s,%s,%s,%s,%s,%s)"
        tld=""
        try:
            tld=tldextract.extract(data).registered_domain
        except:
            traceback.format_exc()
        try:
            digs= os.popen("dig +tries=1 +timeout=1 +noall +answer "+tldextract.extract(tld).registered_domain).read()
            digs=str(digs).split('\n')
            for dig in digs:
                if(dig.strip()):
                    try:
                        dig=dig.replace("\t\t","\t")
                        dig=dig.replace("\t\t","\t")
                        temp=dig.split('\t')
                        print "Data: "+temp[0] +"\t Data: "+ temp[1]+"\t Data: "+ temp[2]+"\t Data: "+ temp[3]+"\t Data: "+ temp[4]
                        params=(data.strip(),tld.strip(),temp[1].strip(),temp[2].strip(),temp[3].strip(),temp[4].strip(),worker)
                        cur.execute(query,params)
                    except:
                        params=(data.strip(),tld.strip(),"","","","",worker)
                        cur.execute(query,params)
        except:
            params=(data.strip(),tld.strip(),"","","","",worker)
            cur.execute(query,params)
        con.commit()
        cur.close()
        con.close()

 def _cache_html_to_df(self, html):
     company = BeautifulSoup(html)
     title = company.find('div',{'class':'companyTitle'})
     description = company.find('div',{'class':'companyDescription'})
     revenue = company.find('div',{'class':'companyRevenue'})
     address = company.find('div',{'class':'companyAddress'})
     employee_count = company.find('p',{'class':'companyEmployeeCountText'})
     website = company.find('div',{'class':'website'})
     phone = company.find('span',{'class':'hq'})
     industries = company.find('p', {'class':'industry'})
     industries = industries.find_all('span') if industries else []
     industries = [industry.text for industry in industries]
     
     data = [title, description, revenue, address, employee_count,
             website, phone]
     columns = ["name", "description", "revenue", "address",
                "headcount","website","phone"]
     # add industries
     data = [val.text.strip() if val else "" for val in data]
     data = dict(zip(columns, data))
     data["industry"] = industries
     print data
     data["domain"] = "{}.{}".format(tldextract.extract(data["website"]).domain,
                                     tldextract.extract(data["website"]).tld)
     try:
       data['logo'] = company.find('img',{'class':'companyLogo'})['src']
     except:
       data['logo'] = ""
     data["source"] = "zoominfo"
     data['headcount'] = data['headcount'].split('Employees')[0]
     data['description'] = data['description'].split('Company Description')[-1]
     data['revenue'] = data['revenue'].split('in Revenue')[0]
     # add fullcontact address support
     print data
     return data

    def _html_to_dict(self, url):
        #r = requests.get(url).text
        r = Crawlera().get(url).text
        print url
        try:
            company_name = BeautifulSoup(r).find('h1',{'itemprop':'name'})
            company_name = company_name.find('strong').text
        except:
            return {"handle": url}
        address = BeautifulSoup(r).find('h1',{'itemprop':'name'}).find('span').text
        city = BeautifulSoup(r).find('span',{'itemprop':'addressLocality'}).text
        state = BeautifulSoup(r).find('span',{'itemprop':'addressRegion'}).text
        postal_code = BeautifulSoup(r).find('span',{'itemprop':'postalCode'}).text
        description = BeautifulSoup(r).find('article',{'itemprop':'description'}).text.strip().replace('\nMore...','')
        logo = BeautifulSoup(r).find('figure').find('img')['src']
        website = BeautifulSoup(r).find('li',{'class':'website'}).find('a')['href'].split('gourl?')[-1]
        domain = "{}.{}".format(tldextract.extract(website).domain, tldextract.extract(website).tld)
        ''' Phone '''
        main = BeautifulSoup(r).find('li',{'class':'phone'}).find('strong',{'class':'primary'}).text
        numbers = BeautifulSoup(r).find('li',{'class':'phone'}).findAll('li')
        nums = [number.find('span').text for number in numbers]
        names = [number.text.split(number.find('span').text)[0] for number in numbers]
        numbers = dict(zip(names, nums))
        numbers['main'] = main

        _vars = [company_name, address, city, state, postal_code, description, logo, website, domain]
        labels = ["name","address","city","state","postal_code", "description", "logo", "website", "domain"]
        company = dict(zip(labels, _vars))
        company["numbers"] = numbers
        company["handle"] = url
        return company

def compare_host(host1, host2):
    """ True if the domain.suffix part of both hosts is the same TAB05 """

    (_, domain1, suffix1) = tldextract.extract(host1)
    (_, domain2, suffix2) = tldextract.extract(host2)

    return domain1 == domain2 and suffix1 == suffix2

def test_tldextract():
    '''
    verify that tldextract parses just the netloc
    This is neither documented or tested by tldextract (!)
    '''
    assert tldextract.extract('example.com').registered_domain == 'example.com'
    assert tldextract.extract('www.example.com').registered_domain == 'example.com'

def loadLists(writer=sys.stdout):
  if isStale(suspect_file):
    print >> writer, "Updating ISC Suspicious Domains..."
    new_file = requests.get(isc_url)
    with open(suspect_file, 'w') as sf_buffer:
      sf_buffer.write(new_file.content)

  if safebrowsing_bootstrap:
      print("Initial download of SafeBrowsing DB... this will take a few minutes.")
      updateSafebrowsing()
  elif isStale(safebrowsing_db, maxTime=259200):
    print >> writer, "Updating Google Safebrowsing DB..."
    updateSafebrowsing()

  if isStale(topthousand_file, maxTime=2629743):
    print >> writer, "Updating Alexa Top 1000..."
    new_file = requests.get(topmillion_url)
    with zipfile.ZipFile(StringIO(new_file.content), 'r') as zipData:
      with zipData.open('top-1m.csv', 'r') as oneMil:
        with open(topthousand_file, 'w') as topThousand:
          for i in range(0,1000):
            topThousand.write(oneMil.readline())

  for sf_read in open(suspect_file):
    badDomain = tldextract.extract(sf_read)
    ISC_LIST.append(badDomain)

  for topthousand_read in open(topthousand_file):
    cleaned_line = topthousand_read.split(",")[1].strip()
    valuableDomain = tldextract.extract(cleaned_line)
    ALEXA_LIST.append(valuableDomain)

    def start(self):
        for ext in file_extensions:
            if ext in url_file(self.url):
                db.collections.update_one({
                    'structure': '#URLEntry',
                    'url': self.url
                    }, {'$set': { 'last_scraped': time.strftime("%Y-%m-%d %H:%M:%S")}})
                print('Skipping: {}'.format(self.url))
                return None

        try:
            with self.sess as sess:
                html_doc = sess.get(self.url, timeout=3).text
        except (InvalidSchema, ConnectionError, Timeout, TooManyRedirects):
            db.collections.remove(
                        {
                            'structure': '#URLEntry',
                            'url': self.url
                        }
                    )
            return None

        soup = BeautifulSoup(html_doc, 'html.parser')
        urls = self.get_urls(soup)

        for url in urls:
            existing = db.collections.find_one({
                'structure': '#URLEntry',
                'url': url
                })

            if existing is None:

                try:
                    tld = tldextract.extract(url).suffix
                except:
                    tld = '*'

                entry = URLEntry(domain=self.get_domain(url), url=url, tld=tld)
                db.collections.insert_one(entry.export())

        this_existing = db.collections.find_one({
                'structure': '#URLEntry',
                'domain': self.get_domain(self.url),
                'url': self.url
                })
        if this_existing is not None:
            db.collections.update_one({
                    'structure': '#URLEntry',
                    'domain': self.get_domain(self.url),
                    'url': self.url
                    }, {'$set': { 'last_scraped': time.strftime("%Y-%m-%d %H:%M:%S")}})
        else:
            try:
                tld = tldextract.extract(self.url).suffix
            except:
                tld = '*'

            entry = URLEntry(domain=self.get_domain(self.url), url=self.url, tld=tld)
            db.collections.insert_one(entry.export())

def crawlList(list):

    main_dict = parsedDictionary.parsedDictionary()

    #iterate through domains
    for i in range(0, len(list)):
        print "Scripts present at " + list[i]
        scripts = getScripts(list[i])
        printList(scripts)

        #iterate through this domain's scripts
        #this codes checks if the script is linked externally or is hosted on the same domain (given by a relative URL)
        dict = parsedDictionary.parsedDictionary()
        for y in range(0, len(scripts)):
            full = ''
            if( (scripts[y].startswith("//")) or (scripts[y].startswith("http"))):
                full = tldextract.extract(scripts[y])
                if(len(full.domain) <= 1):
                    full = tldextract.extract(list[i])
            else:
                full = tldextract.extract(list[i])

            link = full.domain + '.' + full.suffix
            if(not dict.exists(link)):
                dict.addElement(link)
        main_dict.add(dict)
        print main_dict.Dict
        print "}}}}}"
        print dict.Dict
        print "\n -------------------------------"
    sortedlist = main_dict.sortByValue()
    print " \n Top scripts: "
    printList(sortedlist)

	def process_item(self, item, spider):
		domain_name=tldextract.extract(item['url']).domain
		db = self.connection[domain_name] #ÓÃÓòÃû×÷Ϊ
		self.collection = db[settings['MONGODB_COLLECTION']]
		valid = True
		for data in item:
			if not data:
				valid = False
				raise DropItem("Missing {0}!".format(data))
			if valid:
				if domain_name in spider.crawledPagesPerSite and spider.crawledPagesPerSite[domain_name]>spider.maximumPagesPerSite:
					return None
					
				self.collection.insert(dict(item))
				if domain_name in spider.crawledPagesPerSite:
					spider.crawledPagesPerSite[domain_name]+=1
				else:
					spider.crawledPagesPerSite[domain_name]=1
				print "crawledPagesPerSite", spider.crawledPagesPerSite[domain_name]
				print "spider.allowed_domains", spider.allowed_domains
				print "spider.maximumPagesPerSite", spider.maximumPagesPerSite
				print "domain_name", domain_name, item['url']
				if spider.crawledPagesPerSite[domain_name]>spider.maximumPagesPerSite:
					suffix=tldextract.extract(item['url']).suffix
					domain_and_suffix=domain_name+"."+suffix
					print domain_and_suffix
					if domain_and_suffix in spider.allowed_domains:
						spider.allowed_domains.remove(domain_and_suffix)
						spider.dynamic_deny_domain.append(domain_name)
						#spider.rules[0].link_extractor.allow_domains.remove(domain_and_suffix)
						spider.rules[0].link_extractor.deny_domains.add(domain_and_suffix)
					print "spider.allowed_domains", spider.allowed_domains
					return None
				log.msg("Item added to MongoDB database!",level=log.DEBUG, spider=spider)
				return item

    def handle(self):
    	SO_ORIGINAL_DST = 80
        # self.request is the client connection/socket
	dst = self.request.getsockopt(socket.SOL_IP, SO_ORIGINAL_DST, 16) # Get the original destination IP before iptables redirect
	_, dst_port, ip1, ip2, ip3, ip4 = struct.unpack("!HHBBBB8x", dst)
	dst_ip = '%s.%s.%s.%s' % (ip1,ip2,ip3,ip4)
	peername = '%s:%s' % (self.request.getpeername()[0], self.request.getpeername()[1])
	print success('Client %s -> %s:443' % (peername, dst_ip))
	RemoteHostnames[dst_ip] = getCertHostnamesCached(dst_ip)
	#RemoteHostnames[dst_ip] = ['*.*.*.*','*.*.*','*.*','*'] # example fixed wildcard cert
	CN = RemoteHostnames[dst_ip][0] # SSL_Certificate_CN2 module will return CN as first list element
	if add_extra_hostnames:
		import tldextract
		domain = tldextract.extract(CN).domain
		tld = tldextract.extract(CN).tld
		bonus_hostnames = [] # kludge to work around lack of good support for SNI (server name indication) in python
		bonus_hostnames.append('www.%s.%s' % (domain,tld))
		bonus_hostnames.append('*.%s.%s' % (domain,tld))
		bonus_hostnames.append('%s.%s' % (domain,tld)) # without this, requests to (e.g.) https://google.com fail as the CN is 
		for extra_name in bonus_hostnames:             # www.google.com and there is no subjectAltName 'google.com' in the cert.
			if extra_name not in RemoteHostnames[dst_ip]:
			# however, adding extra hostnames as subjectAltNames makes other certs fail to validate, so disabled by default
				RemoteHostnames[dst_ip].append(extra_name)
	PhoneConnected = False
	CreateSignedX509Certificate(ip=dst_ip, hostnames=RemoteHostnames[dst_ip], peername=peername)
	try:
		(certfile, keyfile) = GeneratedCert[dst_ip]
		#print 'Setting up SSL socket using %s' % certfile
		stream_phone = ssl.wrap_socket(self.request, server_side=True, certfile=certfile,
					       keyfile=keyfile, ssl_version=ssl.PROTOCOL_TLSv1)
		PhoneConnected = True
	except (ssl.SSLError), e:
		print error('SSLError on connection to phone (%s)' % e)
		self.finish()

def same_domain(url1, url2):
  url1_extract = tldextract.extract(url1)
  url2_extract = tldextract.extract(url2)
  if url1_extract.domain == url2_extract.domain:
    return True
  else:
    return False

def is_same_domain(url1, url2):
    """Check seedurl and other url belongs to same domain.
    >>>is_same_domain("http://kracekumar.wordpress.com", "http://wordpress.com")
    True
    >>>is_same_domain("http://kracekumar.com", "http://tumblr.com")
    False
    """
    return tldextract.extract(url1).domain == tldextract.extract(url2).domain

def email_pattern_research():
    website = request.args['domain']
    domain = "{}.{}".format(tldextract.extract(website).domain,
                            tldextract.extract(website).tld)
    api_key = "9a31a1defcdc87a618e12970435fd44741d7b88794f7396cbec486b8"
    name = request.args['name'] if "name" in request.args.keys() else ""
    q.enqueue(EmailGuess().search_sources, domain, name, api_key, timeout=6000)
    return {'email_research_started':True}

def mxsniff(email_or_domain, ignore_errors=False, cache=None):
    """
    Lookup MX records for a given email address, URL or domain name and identify the email service provider(s)
    from an internal list of known service providers.

    :param str email_or_domain: Email, domain or URL to lookup
    :return: Identified service provider, or a list if there's more than one (in unusual circumstances)

    >>> mxsniff('example.com')['match']
    ['nomx']
    >>> mxsniff('__invalid_domain_name__.com')['match']
    ['nomx']
    >>> mxsniff('[email protected]')['match']
    ['google-gmail']
    >>> sorted(mxsniff('https://google.com/').items())
    [('domain', 'google.com'), ('match', ['google-apps']), ('mx', [(10, 'aspmx.l.google.com'), (20, 'alt1.aspmx.l.google.com'), (30, 'alt2.aspmx.l.google.com'), (40, 'alt3.aspmx.l.google.com'), (50, 'alt4.aspmx.l.google.com')]), ('mx_tld', ['google.com']), ('query', 'https://google.com/')]
    """
    domain = get_domain(email_or_domain)
    if cache and domain in cache:
        return cache[domain]

    result = []
    tld = []

    try:
        answers = []  # Default value in case of verbose mode where an error occurs
        answers = sorted([(rdata.preference, rdata.exchange.to_text(omit_final_dot=True).lower())
            for rdata in dns.resolver.query(domain, 'MX')])
        for preference, exchange in answers:
            rdomain = tldextract.extract(exchange).registered_domain
            if rdomain not in tld:
                tld.append(rdomain)
            provider = provider_domains.get(exchange)
            if provider and provider not in result:
                result.append(provider)
    except (dns.resolver.NoAnswer, dns.resolver.NXDOMAIN, dns.resolver.NoNameservers):
        pass
    except dns.exception.DNSException as e:
        if ignore_errors:
            pass
        else:
            raise MXLookupException('{exc} {error} ({domain})'.format(
                exc=e.__class__.__name__, error=text_type(e), domain=domain))

    if not result:
        # Check for self-hosted email servers; identify them with the label 'self'
        if tldextract.extract(domain).registered_domain in tld:
            result.append('self')
        if not result:
            if answers:
                result.append('unknown')  # We don't know this one's provider
            else:
                result.append('nomx')  # This domain has no mail servers

    result = {'query': email_or_domain, 'domain': domain, 'match': result, 'mx': answers, 'mx_tld': tld}
    if cache:
        cache[domain] = result
    return result

    def check_domain_limit(self, url):
        for domain in self.limit_domain:
            ext = tldextract.extract(domain)
            # *的时候匹配所有二级域名，或者只匹配特定的域名
            if ((ext[0] == "*" or ext[0] == "") and tldextract.extract(url)[1] == ext[1]) or \
                    (".".join(tldextract.extract(url)) == domain):
                return True

        return False