def getLink(url):
proxyList = proxy.getProxy()
for proxyItem in proxyList:
print(f'use proxy {proxyItem["ip"]}:{proxyItem["port"]}')
response = connect('本書介紹', url, proxyItem)
if response is None:
print('connection is invalid')
continue
print('connection is valid')
d = pyquery.PyQuery(response.text)
posts = d('div.type02_m057:contains("內容簡介")')
print(posts)
break
def getList(url):
proxyList = proxy.getProxy()
rows = []
for proxyItem in proxyList:
print(f'use proxy {proxyItem["ip"]}:{proxyItem["port"]}')
response = connect('即時榜', url, proxyItem)
if response is None:
print('connection is invalid')
continue
print('connection is valid')
# 開二進位檔案
with open('book.b.html', 'wb') as f:
# 寫入二進位資料
f.write(response.content)
d = pyquery.PyQuery(response.text)
posts = d('ul.clearfix li.item')
for idx, post in enumerate(posts.items()):
if idx == 0:
order = post('strong.no').text()
title = post('h4').text()
author = post('ul.msg').text()[3:]
price = post('li.price_a').text()[4:]
link = post('h4 a').attr('href')
print('排名 : ', order)
print('書名 : ', title)
# print('作者 : ', author)
# print(price)
print('連結 : ', link)
print('----------------------')
# getLink(link)
rows.append({'order': order, 'title': title, 'link': link})
text = json.dumps(rows, sort_keys=True, indent=4)
with codecs.open(f'books.json', 'w', 'utf-8') as f:
f.write(text)
break
def setup():
logger.info("Entered Setup")
headers = {
"User-Agent":
"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:66.0) Gecko/20100101 Firefox/66.0",
"Accept-Encoding": "gzip, deflate",
"Accept":
"text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"DNT": "1",
"Connection": "close",
"Upgrade-Insecure-Requests": "1",
}
logger.debug(f"Created headers: {headers}")
PROXY = getProxy()
logger.debug(f"Created proxy: {PROXY}")
proxies = {
"httpProxy": PROXY,
"ftpProxy": PROXY,
"sslProxy": PROXY,
"proxyType": "MANUAL",
}
logger.info(f"Setup is done: {[headers, proxies]}")
return [headers, proxies]
from bs4 import BeautifulSoup as bs
from urllib import request as req
import proxy
PROXY_URL = proxy.getProxy()
main_array = [] # ALL ITEM ARRAYS ARE IN HERE AS A TUPLE
cathegory_array = [] # ITEM CATHEGORIES ARE IN HERE
stats_array = [] # ITEM STATUS (SEEDERS AND LEECHERS) WILL BE HERE
item_link_array = [] # ITEM LINKS ARE HERE
item_name_array = [] # ITEM NAMES ARE HERE
item_date_array = [] # ITEM UPLOADED DATES ARE HERE
item_size_array = [] # ITEM SIZES ARE HERE
def search_item(search_request):
search_term = search_request
search_term.replace(' ', '_')
site_link = ''
while True:
for i in PROXY_URL:
link = '{}/s/?q={}&category=0&page=0&orderby=99'.format(i, search_term)
site_link = i
try:
source = req.urlopen(link).read()
soup = bs(source, 'html.parser')
main_item = soup.find_all('tr')
result_count = soup.find('h2')
def SaveScrape(baseurl, PageSaveFolder, ScrapeFile, Scrapewait, useProxy, **kwargs):
_time=time.time()
XMLsaveFile="XML_scrape_" + (datetime.datetime.now()).strftime('%Y-%m-%d')
xmlFile=PageSaveFolder + XMLsaveFile
with open(xmlFile +'.xml', "w") as saveXML:
print("blank xml created")
XMLsaveFile="XML_scrape_" + (datetime.datetime.now()).strftime('%Y-%m-%d')
# time.sleep(random.randint(1,10))
# ua = UserAgent()
#headers = {'User-Agent':str(ua.random)}
headers={ 'User-Agent': proxy.getHeader(random.randint(0,249)) }
if useProxy != '':
print("using previous proxy:", useProxy)
r_proxy=useProxy
elif useProxy == '':
r_proxy,prox_status=proxy.getProxy(ps_user="******", ps_pass="******", ps_host="172.22.114.65",ps_port="5432", ps_db="scrape_db", update=True)
if prox_status==False:
print('error getting proxy, quitting')
sys.exit()
_pass=False
_loopcount=0
while _pass==False:
try:
response = requests.get(baseurl + ScrapeFile,headers=headers, timeout=Scrapewait, proxies= {'http' : 'http://' + r_proxy, 'https' : 'https://' + r_proxy}) #r_proxy)
_pass=True
except: # requests.exceptions.Timeout:
_waittime=+random.randint(1,9)
print("count:",_loopcount,"-timeout, wait secs before retry:", _waittime)
time.sleep(_waittime)
_loopcount+=1
if _loopcount >=20:
print("getting new proxy after 20 tries, link:",baseurl + ScrapeFile)
r_proxy,prox_status=proxy.getProxy(ps_user="******", ps_pass="******", ps_host="172.22.114.65",ps_port="5432", ps_db="scrape_db", update=True)
_loopcount=0
gz_save_name =ScrapeFile[:-7] + '_' + (datetime.datetime.now()).strftime('%Y-%m-%d') + '.gz'
#save to gz
open(PageSaveFolder + gz_save_name, 'wb').write(response.content)
time.sleep(5)
#feast upon that rich gooey xml
_xml_save = ScrapeFile[:-7] + '_' + (datetime.datetime.now()).strftime('%Y-%m-%d') + '.xml'
_pass=False
_loopcount=0
while _pass==False:
try:
with gzip.open(PageSaveFolder + gz_save_name, 'rb') as f_in:
time.sleep(5)
with open(PageSaveFolder + _xml_save, 'wb') as f_out:
time.sleep(5)
shutil.copyfileobj(f_in, f_out)
tree = etree.parse(PageSaveFolder + _xml_save)
with open(PageSaveFolder + _xml_save, "wb") as saveXML:
saveXML.write(etree.tostring(tree,pretty_print=True))
_pass=True
except:
_waittime=+random.randint(1,9)
print("count:",_loopcount,"-error extracting file, wait secs before retry:", _waittime)
time.sleep(_waittime)
_loopcount+=1
if _loopcount==1:
print("20 tries, aborting")
sys.exit()
body=tree.xpath('//ns:url',namespaces={'ns':"http://www.sitemaps.org/schemas/sitemap/0.9"})
_count=1
#now we parse and read, using lists instead of df since its A BUNCH faster
list_lastmod=[]
list_url=[]
list_state=[]
list_proptype=[]
list_suburb=[]
list_propid=[]
for element in body:
# if _count % 10000 == 0:
# print("interval:", str(_count-1)," -total runtime:", time.time()-_time)
list_lastmod.append(element[1].text)
list_url.append(element[0].text)
_splitval=''
if '-nsw-' in element[0].text: _splitval='-nsw-'
# elif '+nsw+' in element[0].text: _splitval='+nsw+'
elif '-qld-' in element[0].text: _splitval='-qld-'
# elif '+qld+' in element[0].text: _splitval='+qld+'
elif '-tas-' in element[0].text: _splitval='-tas-'
# elif '+tas+' in element[0].text: _splitval='+tas+'
elif '-act-' in element[0].text: _splitval='-act-'
# elif '+act+' in element[0].text: _splitval='+act+'
elif '-sa-' in element[0].text: _splitval='-sa-'
# elif '+sa+' in element[0].text: _splitval='+sa+'
elif '-nt-' in element[0].text: _splitval='-nt-'
# elif '+nt+' in element[0].text: _splitval='+nt+'
elif '-wa-' in element[0].text: _splitval='-wa-'
# elif '+wa+' in element[0].text: _splitval='+wa+'
elif '-vic-' in element[0].text: _splitval='-vic-'
# elif '+vic+' in element[0].text: _splitval='+vic+'
if _splitval !='':
list_state.append(_splitval.replace('-','').replace('+',''))
list_proptype.append( (element[0].text).split(_splitval)[0].replace('https://www.realestate.com.au/property-','').replace('+', ' ') )
list_suburb.append( (element[0].text).split(_splitval)[1].replace('https://www.realestate.com.au/property-','').replace((element[0].text).split('-')[-1],'').replace('-',' ').replace('+', ' ').strip() )
else:
list_state.append('')
list_proptype.append('')
list_suburb.append('')
list_propid.append( (element[0].text).split('-')[-1] )
# _count+=1
XML_gz_Dataset = pd.DataFrame(
np.column_stack([list_lastmod, list_url, list_proptype, list_state, list_suburb, list_propid]),
columns=['lastmod', 'url', 'proptype', 'state', 'suburb', 'prop_id'])
XML_gz_Dataset.to_csv(PageSaveFolder + '/parsed_csv/' + _xml_save[:-3] + '_results' +'.csv')
print("file saved to: " + PageSaveFolder + '\\parsed_csv\\' + _xml_save[:-3] + '_results' +'.csv')
XML_gz_Dataset['lastmod']=pd.to_datetime(XML_gz_Dataset['lastmod'])
print("total xml time:", time.time() - _time)
XML_gz_Dataset['parent_gz']=XMLsaveFile
XML_gz_Dataset['scrape_dt']=(datetime.datetime.now()).strftime('%Y-%m-%d %H:%M:%S')
XML_gz_Dataset['lastmod']=pd.to_datetime(XML_gz_Dataset['lastmod'])
XML_gz_Dataset['external_ip']=r_proxy
#now we add to db table
#parent file link
connection = psycopg2.connect(user="******",password="******",host="172.22.114.65",port="5432",database="scrape_db")
cursor = connection.cursor()
# with connection.cursor() as cursor:
cursor.execute("""
select max(s_fileid)
FROM sc_land.sc_source_file
WHERE s_filename = %(s_filename)s
and date(lastmod) = %(lastmod)s;
""",
{
's_filename': XML_gz_Dataset['parent_gz'].drop_duplicates()[0]
,'lastmod' : XML_gz_Dataset['lastmod'].dt.date.drop_duplicates()[0]
}
)
result = cursor.fetchone()
print("parent file link is:",ScrapeFile,"is:", result[0])
XML_gz_Dataset['s_fileid']=result[0]
#remove redundant link
XML_gz_Dataset=XML_gz_Dataset.drop(columns=['parent_gz'])
# #time to insert
engine = create_engine('postgresql://*****:*****@172.22.114.65:5432/scrape_db')
XML_gz_Dataset.to_sql(
name='sc_property_links'
,schema='sc_land'
,con=engine
,method=db_import.psql_insert_copy
,if_exists='append'
,index=False
)
os.remove(PageSaveFolder + _xml_save)
print("total runtime", time.time() - _time)
print('----------------------------------------------------------------')
return r_proxy
def spider_with_class(cls, position, ip=0, date="ofo_temp"):
mypos = []
for item in position:
if item['class'] == cls:
mypos.append(item)
mypos.append({"lng": item['lng'] + 0.005, "lat": item['lat']})
mypos.append({
"lng": item['lng'] + 0.005,
"lat": item['lat'] + 0.005
})
mypos.append({"lng": item['lng'], "lat": item['lat'] + 0.005})
# print("线程%d 共%d个原始点"%(cls,len(mypos)))
#
global history
# record = []
ip = proxy.getProxy()
i = len(mypos)
for pos in mypos:
i = i - 1
count = 0
local = []
localString = []
info = 0
try:
info = spider.spider_single(pos['lng'], pos['lat'], ip)
except:
if not proxy.testProxy(ip):
proxy.deleteProxy(ip)
ip = proxy.getProxy()
try:
info = spider.spider_single(pos['lng'], pos['lat'], ip)
except:
proxy.updateProxy()
ip = proxy.getProxy()
try:
info = spider.spider_single(pos['lng'], pos['lat'], ip)
except:
print(
"线程%d因网络问题退出 时间:" %
(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())))
raise Exception
return 0
lock.acquire()
for bike in info['body']['bicycles']:
posStr = str(bike['longitude']) + str(bike['latitude'])
if not (posStr in history):
result.append(bike)
local.append(bike)
count += 1
if not (posStr in localString):
localString.append(posStr)
history.extend(localString)
global total_point
total_point -= 1
if total_point % 4000 == 0:
print("%s 本次剩余%d个" % (time.strftime(
"%Y-%m-%d %H:%M:%S", time.localtime()), total_point))
lock.release()
if not save_in_db(local, date):
while not save_in_db(local, date):
print("线程%d 数据库连接失败" % (cls))
# save_in_db(local)
# print("线程%d 剩余%d次 获取%d个 保存%d个"%(cls,i,info['body']['total'],count))
# lock.acquire()
# result.extend(record)
# lock.release()
return
# f = open("thread_test100.txt","w")
# f.write(json.dumps(result))
# f.close()
# while 1:
# if time.strftime("%H:%M",time.localtime()) == "00:00":
# break
while 1:
date = time.strftime("%Y-%m-%d", time.localtime())
start_time = time.time()
print("开始新的查询 当前时间:%s" %
(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())))
start_time_string = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
proxy.getProxy()
thread = []
history = []
result = []
total_point = len(position) * 4
for i in range(100):
thread.append(
threading.Thread(target=spider_with_class,
args=(i, position, 0, date)))
for i in range(100):
thread[i].setDaemon(True)
thread[i].start()
for i in range(100):
thread[i].join()
<<<<<<< HEAD
ydl_opts = {
'outtmpl': f'{fullpath}/{filename}/{filename}.mp4',
'format':'best'
}
with suppress_stdout():
with youtube_dl.YoutubeDL(ydl_opts) as ydl:
with suppress_stdout():
ydl.download([url])
=======
if not status_manager.Manager.getStatus():
self.__proxy = proxy.getProxy()
ydl_opts = {
'outtmpl': f'{fullpath}/{filename}/{filename}',
'format':'best',
'proxy':self.__proxy['proxy']
}
logging.error(f"DOWNLOADING:USING_PROXY")
else:
ydl_opts = {
'outtmpl': f'{fullpath}/{filename}/{filename}',
'format':'best'
}
logging.error(f"DOWNLOADING:WITHOUT_PROXY")