def mzitu_crawler(max_threads=10):
crawl_queue = MogoQueue('meinvxiezhenji', 'crawl_queue')
def pageurl_crawler():
while True:
try:
url = crawl_queue.pop()
print(url)
except KeyError:
print("队列没有数据")
else:
img_urls = []
req = request.get(url, 3).text
title = crawl_queue.pop_title(url)
mkdir(title)
os.chdir("D:\mzitu\\" + title)
max_span = BeautifulSoup(req, "lxml").find("div", class_="pagenavi").find_all("span")[-2].get_text()
for page in range(1, int(max_span)+1):
page_url = url + "/" +str(page)
img_url = BeautifulSoup(request.get(page_url).text, "lxml").find("div", class_="main-image").find("img")["src"]
img_urls.append(img_url)
save(img_url)
crawl_queue.complete(url)
def save(img_url):
name = img_url[-9:-4]
print(u"开始保存：", img_url)
img = request.get(img_url)
f = open(name + ".jpg", "ab")
f.write(img.content)
f.close()
def mkdir(path):
paht = path.strip()
isExits = os.path.exists(os.path.join("D:\mzitu\\", path))
if not isExits:
print(u"建了一个名字叫做", path, u"的文件夹!")
os.makedirs(os.path.join("D:\mzitu\\", path))
return True
else:
print(u"已存在名字叫做", path)
return False
threads = []
while threads or crawl_queue:
"""
这儿crawl_queue用上了，就是我们__bool__函数的作用，为真则代表我们MongoDB队列里面还有数据
threads 或者 crawl_queue为真都代表我们还没下载完成，程序就会继续执行
"""
for thread in threads:
if not thread.is_alive():
threads.remove(thread)
while len(threads) < max_threads or crawl_queue.peek():
thread = threading.Thread(target=pageurl_crawler)
thread.setDaemon(True)##设置守护线程
thread.start()
threads.append(thread)
time.sleep(SLEEP_TIME)
def mzitu_crawler(max_threads=10):
crawl_queue = MogoQueue('name', 'crawl_queue')
#img_queue = MogoQueue('name', 'img_queue')
def pageurl_crawler():
while True:
try:
url = =crawl_queue.pop()
print url
except KeyError:
print '队列没有数据'
break
else:
img_urls = []
req = request.get(url, 3).text()
title = crawl_queue.pop_title(url)
mkdir(title)
os.chdir('D:\mzitu\\'+title)
max_span = BeautifulSoup(req, 'lxml').find('div', class_='pagenavi').find_all('span')[-2].get_text()
for page in range(1, int(max_span)+1):
page_url = url + '/' + str(page)
img_url = BeautifulSoup(request.get(page_url, 3).text,'lxml').find('div', class_='main-image').find('img')['src']
img_urls.append(img_url)
save(img_url)
crawl_queue.complete(url)
#img_queue.push_imgurl(title, img_urls)
#print '插入数据库成功'
def save(img_url):
name = img_url[-9:-4]
print u'开始保存：', img_url
img = request.get(img_url, 3)
f = open(name + '.jpg', 'ab')
f.write(img.content)
f.close()
def mkdir(path):
path = path.strip()
isExists = os.path.exists(os.path.join('D:\mzitu',path))
if not isExists:
print u'建立一个名字叫做', path, u'的文件夹！'
os.makedirs(os.path.join('D:\mzitu', path))
return True
else:
print u'名字叫做', path, u'的文件夹已经存在了'
return False
threads = []
while threads or crawl_queue:
for threads in threads:
if not thread.is_alive(): #is_alive是判断是否为空，不是空则在队列中删掉
threads.remove(thread)
while len(threads) < max_threads or crawl_queue.peek():
thread = threading.Thread(target=pageurl_crawler) #创建线程
thread.setDaemon(True) #设置守护线程
thread.start() #启动线程
threads.append(thread) #添加进线程队列
time.sleep(SLEEP_TIME)
def E_Hen_crawler(max_threads=5):
img_queue = MogoQueue('meinv', 'img_queue')
def pageurl_crawler():
while True:
try:
(url, name) = img_queue.pop()
print(url)
except KeyError:
print('队列没有数据')
break
else:
title = img_queue.pop_title_(url)
path = str(title).replace('?', '')
mkdir(path)
os.chdir('C:\Data\\' + path)
html = request.get(url, 3)
html_soup = BeautifulSoup(html.text, 'lxml')
img = html_soup.find('div', id='i3').find('img')
img_url = img['src']
print(u'得到图片的链接')
save(img_url, name)
img_queue.complete(url)
def save(img_url, page_name):
name = page_name
print(u'开始保存：', img_url, '\n')
img = request.get(img_url, 15)
f = open(name + '.jpg', 'ab')
f.write(img.content)
f.close()
def mkdir(path):
path = path.strip()
isExists = os.path.exists(os.path.join("C:\Data", path))
if not isExists:
print(u'建了一个名字叫做', path, u'的文件夹！')
os.makedirs(os.path.join("C:\Data", path))
return True
else:
print(u'名字叫做', path, u'的文件夹已经存在了！')
return False
threads = []
while threads or img_queue:
for thread in threads:
if not thread.is_alive(): ##is_alive是判断是否为空,不是空则在队列中删掉
threads.remove(thread)
while len(threads) < max_threads and img_queue.peek(
): ##线程池中的线程少于max_threads 或者 crawl_qeue时
thread = threading.Thread(target=pageurl_crawler) ##创建线程
thread.setDaemon(True) ##设置守护线程
thread.start() ##启动线程
threads.append(thread) ##添加进线程队列
time.sleep(SLEEP_TIME)
def mzitu_crawler(max_threads=10):
crawl_queue = MogoQueue('meinvxiezhenji', 'crawl_queue') # 调用MogoQueue（mogodb_queue模块中）#这里是获取的url队列
img_queue = MogoQueue('meinvxiezhenji', 'img_queue') ##图片实际url的队列
# 抓取页面地止
def pageurl_crawler():
while True:
"""
try....except...else(用于捕获异常)的语法：
try:
<语句> #运行别的代码
except <名字>：
<语句> #如果在try部份引发了'name'异常
except <名字> as <数据>:
<语句> #如果引发了'name'异常，获得附加的数据
else:
<语句> #如果没有异常发生
"""
try:
url = crawl_queue.pop() # MogoQueue中的pop函数，查询列队中等待抓取的对象，并改变状态
print(url)
except KeyError:
print('队列没有数据')
break
else:
lock = threading.Lock()
lock.acquire()
img_urls = [] # 创建图片地址列表备用
req = request.get(url, 3).text # 请求需要抓取的页面
max_page = BeautifulSoup(req, 'lxml').find('div', class_='pagenavi').find_all('span')[-2].get_text() # 获取最大页码
title = crawl_queue.pop_title(url) # 取出主题
mkdir(title) # 调用后面的mkdir函数创建名为title的文件夹
os.chdir('F:\image\mzitu\\' + title) # 切换到上面创建的文件夹
for page in range(1, int(max_page) + 1):
page_url = url + '/' + str(page) # 构造套图中每张图片所在页面
img_dict = BeautifulSoup(request.get(page_url, 3).text, 'lxml').find('div', {'class': 'main-image'}).find('img')
# print(img_dict)
if img_dict is not None:
img_url = img_dict['src'] # 获取每张图片真实地址用于此后下载
else:
print(u'没有获取到img_url*******************')
img_url_reg = re.compile('http://.*?\.jpg', re.S) # 筛选有效图片链接的正则
if re.match(img_url_reg, img_url):
img_urls.append(img_url) # 添加有效图片地址到图片地址列表
else:
print(u'图片不是有效地链接地址！！！！！！！！！！！！！！')
save(img_url) # 调用后面的save函数保存有效图片
lock.release() # 释放锁
crawl_queue.complete(url) # 设置为完成状态
img_queue.push_imgurl(title, img_urls) #插入有效图片地址到队列
print('插入数据库成功')
def save(img_url):
name = img_url[-9:-4] #获取图片名字
print(u'开始保存：', img_url)
img = request.get(img_url, 3) #请求图片地址
f = open(name + '.jpg', 'ab') #创建二进制的jpg文件
f.write(img.content) #写入文件
f.close() #关闭文件
def mkdir(path):
path = path.strip() #去除空格
isExists = os.path.exists(os.path.join('F:\image\mzitu', path)) #检查路径是否存在
if not isExists:
print(u'创建一个名为', path, u'的文件夹！')
os.makedirs(os.path.join('F:\image\mzitu', path)) #创建文件夹
return True
else:
print(u'文件夹已经存在！')
return False
threads = [] #创建线程列表备用
while threads or crawl_queue:
"""
这儿用到了crawl_queue,就是__bool__函数的作用，为真则代表mongo数列里还有数据
threads 或者 crawl_queue为真都代表还没下载完，程序继续执行
"""
for thread in threads:
# is_alive判断线程是否为激活的，未激活则在队列中删掉
if not thread.is_alive():
threads.remove(thread)
# 线程池中的线程小于max_threads 或者 crawl_queue中还有OUTSTANDING对象
#peek表示取出队列中状态为OUTSTANDING的对象并返回_id（URL）
while len(threads) < max_threads or crawl_queue.peek():
thread = threading.Thread(target=pageurl_crawler) ##创建线程，线程中的对象为pageurl_crawler
thread.setDaemon(True) ##设置守护线程
thread.start() ##启动线程
threads.append(thread) ##添加进线程队列
time.sleep(SLEEP_TIME)
def mzitu_crawler(max_threads=10):
crawl_queue = MogoQueue('meinvxiezhenji','crawl_queue') ##这个是我们获取URL的队列
img_queue = MogoQueue('meinvxiezhenji','img_queue') ##这个是图片实际URL的队列
def pageurl_crawler():
L.acquire()
while True:
try:
url = crawl_queue.pop()
print(url)
except KeyError:
print('队列没有数据')
break
else:
img_urls = []
req = request.get(url, 3).text
title = crawl_queue.pop_title(url)
path = str(title).replace('?', '')##测试过程中发现一个标题有问号
path = re.sub(r'[？\\*|“<>:/]', '', str(path))
mkdir(path)
os.chdir('E:\图片\mzitu\\' + path)
max_span = BeautifulSoup(req, 'lxml').find('div', class_='pagenavi').find_all('span')[-2].get_text()
for page in range(1, int(max_span) + 1):
page_url = url + '/' + str(page)
img_html = request.get(page_url, 3) ##这儿更改了一下（是不是发现 self 没见了？）
img_url = BeautifulSoup(img_html.text, 'lxml').find('div', class_='main-image').find('img')['src']
name = BeautifulSoup(img_html.text, 'lxml').find('h2', class_='main-title').get_text()
name = re.sub(r'[？\\*|“<>:/]', '', str(name))
img_urls.append(img_url)
print(u'开始保存：', img_url,name)
img = request.get(img_url, 3, referer=page_url)
f = open(name + '.jpg', 'ab')
f.write(img.content)
f.close()
crawl_queue.complete(url) ##设置为完成状态
img_queue.push_imgurl(title, img_urls)
print('插入数据库成功')
L.release()
def mkdir(path):
path = path.strip()
path = re.sub(r'[？\\*|“<>:/]', '', str(path))
isExists = os.path.exists(os.path.join("E:\图片\mzitu", path))
if not isExists:
print(u'建了一个名字叫做', path, u'的文件夹！')
os.makedirs(os.path.join("E:\图片\mzitu", path))
return True
else:
print(u'名字叫做', path, u'的文件夹已经存在了！')
return False
threads = []
while threads or crawl_queue:
"""
这儿crawl_queue用上了，就是我们__bool__函数的作用，为真则代表我们MongoDB队列里面还有数据
threads 或者 crawl_queue为真都代表我们还没下载完成，程序就会继续执行
"""
for thread in threads:
if not thread.is_alive(): ##is_alive是判断是否为空,不是空则在队列中删掉
threads.remove(thread)
while len(threads) < max_threads or crawl_queue.peek(): ##线程池中的线程少于max_threads 或者 crawl_qeue时
thread = threading.Thread(target=pageurl_crawler) ##创建线程
thread.setDaemon(True) ##设置守护线程
thread.start() ##启动线程
threads.append(thread) ##添加进线程队列
time.sleep(SLEEP_TIME)
def E_Hen_crawler(max_threads=5):
img_queue = MogoQueue('meinv', 'xiumm')
def pageurl_crawler():
while True:
try:
(url,name) = img_queue.pop()
print(url)
except KeyError:
print('队列没有数据')
break
else:
lock.acquire()
title = img_queue.pop_title_(url)
path = str(title).replace('?', '')
mkdir(path)
os.chdir('E:\E-Hen\\' + path)
response = request.get(url, 3)
response.encoding = 'utf-8'
Soup = BeautifulSoup(response.text, 'lxml')
all_url = Soup.find('div', class_='gallary_wrap').find_all('td')
max_span = Soup.find('div', class_='paginator').find_all('a')
for td in all_url:
href = s + td.img['src']
name = td.img['alt'].strip()[-3:]
save(href, name)
for page in max_span:
page_url = s + page['href']
html = request.get(page_url, 3)
Soup = BeautifulSoup(html.text, 'lxml')
all_td = Soup.find('div', class_='gallary_wrap').find_all('td')
for td2 in all_td:
href2 = s + td2.img['src']
name2 = td2.img['alt'].strip()[-3:]
save(href2, name2)
img_queue.complete(url)
lock.release()
def save(img_url,page_name):
name=page_name
print(u'开始保存：', img_url,'\n')
img=request.get(img_url,15)
f=open(name+'.jpg','ab')
f.write(img.content)
f.close()
def mkdir(path):
path = path.strip()
isExists = os.path.exists(os.path.join("E:\E-Hen", path))
if not isExists:
print(u'建了一个名字叫做', path, u'的文件夹！')
os.makedirs(os.path.join("E:\E-Hen", path))
return True
else:
print(u'名字叫做', path, u'的文件夹已经存在了！')
return False
threads = []
while threads or img_queue:
for thread in threads:
if not thread.is_alive(): ##is_alive是判断是否为空,不是空则在队列中删掉
threads.remove(thread)
while len(threads) < max_threads and img_queue.peek(): ##线程池中的线程少于max_threads 或者 crawl_qeue时
thread = threading.Thread(target=pageurl_crawler) ##创建线程
thread.setDaemon(True) ##设置守护线程
thread.start() ##启动线程
threads.append(thread) ##添加进线程队列
time.sleep(SLEEP_TIME)
def mypics_crawler(max_threads=10):
crawl_queue = MogoQueue('mypics_db', 'crawl_queue') ##这个是我们获取URL的队列
img_queue = MogoQueue('mypics_db', 'img_queue') ##这个是图片实际URL的队列
def pageurl_crawler():
while True:
try:
url = crawl_queue.pop()
print(url)
except KeyError:
print('队列没有数据')
break
else:
img_urls = []
req = request.get(url, 3).text
title = crawl_queue.pop_title(url)
path = str(title).replace('?', '') ##测试过程中发现一个标题有问号
mkdir(path)
os.chdir('D:\my_pics\\' + path)
#找到最大的图片页码
max_span = BeautifulSoup(req, 'lxml').find(
'div', class_='pages').find_all('a')[0].get_text()
max_span = re.findall(r"\d+\.?\d*", max_span)
print(max_span)
#保存每一张图片
for page in range(2,
int(max_span[0]) +
1): #第二页都是从序号2开始的，第一页没序号，先略过
page_url = url.rstrip('.html') + '_' + str(
page) + '.html' #每一页的网址
print('图片网址：', page_url)
#每一页的图片地址
img_url = BeautifulSoup(
request.get(page_url, 3).text,
'lxml').find('div',
class_='big-pic').find('img')['src']
img_urls.append(img_url)
lock.acquire()
os.chdir('D:\my_pics\\' + path)
save(img_url)
lock.release()
crawl_queue.complete(url) ##设置为完成状态
img_queue.push_imgurl(title, img_urls)
print('合集图片urls插入数据库成功')
def save(img_url):
name = img_url[-9:-4]
print(u'开始保存：', img_url)
img = request.get(img_url, 3)
f = open(name + '.jpg', 'ab')
f.write(img.content)
f.close()
def mkdir(path):
path = path.strip()
isExists = os.path.exists(os.path.join("D:\my_pics", path))
if not isExists:
print(u'建了一个名字叫做', path, u'的文件夹！')
os.makedirs(os.path.join("D:\my_pics", path))
return True
else:
print(u'名字叫做', path, u'的文件夹已经存在了！')
return False
threads = []
while threads or crawl_queue:
"""
这儿crawl_queue用上了，就是我们__bool__函数的作用，为真则代表我们MongoDB队列里面还有数据
threads 或者 crawl_queue为真都代表我们还没下载完成，程序就会继续执行
"""
for thread in threads:
if not thread.is_alive(): ##is_alive是判断是否为空,不是空则在队列中删掉
threads.remove(thread)
while len(threads) < max_threads and crawl_queue.peek(
): ##线程池中的线程少于max_threads 或者 crawl_qeue时
thread = threading.Thread(target=pageurl_crawler) ##创建线程
thread.setDaemon(True) ##设置守护线程
thread.start() ##启动线程
threads.append(thread) ##添加进线程队列
time.sleep(SLEEP_TIME)
def E_Hen_crawler(max_threads=4):
jinji = MogoQueue('meinv', 'jinji')
def pageurl_crawler():
while True:
try:
(url, name) = jinji.pop()
print(url)
except KeyError:
print('队列没有数据')
break
else:
lock.acquire()
img_urls = []
html = request.get(url, 10)
title = jinji.pop_title_(url)
mkdir(title)
os.chdir('E:\E-Hen\\' + title)
html.encoding = html.apparent_encoding
html_soup = BeautifulSoup(html.text, 'lxml')
max_span = html_soup.find_all('table')[1].find_all(
'option')[-1].get_text()[2:4]
for page in range(1, int(max_span) + 1):
if page < 10:
page_url = url[:-6] + str(page) + '.html'
else:
page_url = url[:-7] + str(page) + '.html'
page_html = request.get(page_url, 10)
page_html.encoding = page_html.apparent_encoding
pattern = re.compile(
'<a href=".*?"><img src="(.*?)" border="0".*?oncontextmenu=.*?'
)
img_url = re.findall(pattern, page_html.text)[0]
img_urls.append(img_url)
print(u'得到图片的链接')
save(img_url)
jinji.complete(url)
lock.release()
def save(img_url):
name = img_url[-7:]
print(u'开始保存：', img_url, '\n')
img = request.get(img_url, 15)
f = open(name, 'ab')
f.write(img.content)
f.close()
def mkdir(path):
path = path.strip()
isExists = os.path.exists(os.path.join("E:\E-Hen", path))
if not isExists:
print(u'建了一个名字叫做', path, u'的文件夹！')
os.makedirs(os.path.join("E:\E-Hen", path))
return True
else:
print(u'名字叫做', path, u'的文件夹已经存在了！')
return False
threads = []
while threads or jinji:
for thread in threads:
if not thread.is_alive(): ##is_alive是判断是否为空,不是空则在队列中删掉
threads.remove(thread)
while len(threads) < max_threads and jinji.peek(
): ##线程池中的线程少于max_threads 或者 crawl_qeue时
thread = threading.Thread(target=pageurl_crawler) ##创建线程
thread.setDaemon(True) ##设置守护线程
thread.start() ##启动线程
threads.append(thread) ##添加进线程队列
time.sleep(SLEEP_TIME)
def mzitu_crawler(max_threads=10):
crawl_queue = MogoQueue('meinvxiezhenji', 'crawl_queue')
def pageurl_crawl(lock):
while True:
try:
url = crawl_queue.pop()
print(url)
except KeyError:
print('队列没有数据')
break
else:
img_urls = []
req = request.get(url, 3).text
title = crawl_queue.pop_title(url)
mkdir(title)
with lock:
os.chdir('F:\mzitu\\' + title)
max_page = BeautifulSoup(req, 'lxml').find(
'div',
class_='pagenavi').find_all('span')[-2].get_text()
for page in range(1, int(max_page) + 1):
page_url = url + '/' + str(page)
img_url = BeautifulSoup(
request.get(page_url, 3).text,
'lxml').find('div', {
'class': 'main-image'
}).find('img')
img_urls.append(img_url)
save(img_url)
def save(img_url):
name = img_url[-9:-4]
print(u'开始保存：', img_url)
img = request.get(img_url, 3)
f = open(name + '.jpg', 'ab')
f.write(img.content)
f.close()
def mkdir(path):
path = path.strip()
isExists = os.path.exists(os.path.join('F:\mzitu', path))
if not isExists:
print(u'创建一个名为', path, u'的文件夹！')
os.makedirs(os.path.join('F:\mzitu', path))
return True
else:
print(u'文件夹已经存在！')
return False
threads = []
while threads or crawl_queue:
"""
这儿用到了crawl_queue,就是__bool__函数的作用，为真则代表mongo数列里还有数据
threads 或者 crawl_queue为真都代表还没下载完，程序继续执行
"""
for thread in threads:
# is_alive判断是否为空，不是空则在队列中删掉
if not thread.is_alive():
threads.remove(thread)
# 线程池中的线程小于max_threads 或者 crawl_queue
while len(threads) < max_threads or crawl_queue.peek():
thread = threading.Thread(target=pageurl_crawl) ##创建线程
thread.setDaemon(True) ##设置守护线程
thread.start() ##启动线程
threads.append(thread) ##添加进线程队列
time.sleep(SLEEP_TIME)
def E_Hen_crawler(max_threads=5):
crawl_queue = MogoQueue('meinv', 'crawl_queue') ##这个是我们获取URL的队列
img_queue = MogoQueue('meinv', 'img_queue')
def pageurl_crawler():
while True:
try:
url = crawl_queue.pop()
print(url)
except KeyError:
print('队列没有数据')
break
else:
title = crawl_queue.pop_title(url)
path = str(title).replace('?', '') ##测试过程中发现一个标题有问号
mkdir(path)
os.chdir('E:\Cover\\' + path)
html = request.get(url, 3)
Soup = BeautifulSoup(html.text, 'lxml')
all_a = Soup.find('div', id='gdt').find_all('a')
for a in all_a:
href = a['href']
name = a.img['alt']
html = request.get(href, 3)
html_soup = BeautifulSoup(html.text, 'lxml')
img = html_soup.find('div', id='i3').find('img')
img_url = img['src']
img_queue.push_imgurl(title,img_url)
print(u'得到图片的链接')
save(img_url, name)
img_queue.complete(img_url)
crawl_queue.complete(url)
def save(img_url,page_name):
name=page_name
print(u'开始保存：', img_url,'\n')
img=request.get(img_url,3)
f=open(name+'.jpg','ab')
f.write(img.content)
f.close()
def mkdir(path):
path = path.strip()
isExists = os.path.exists(os.path.join("E:\Cover", path))
if not isExists:
print(u'建了一个名字叫做', path, u'的文件夹！')
os.makedirs(os.path.join("E:\Cover", path))
return True
else:
print(u'名字叫做', path, u'的文件夹已经存在了！')
return False
threads = []
while threads or crawl_queue:
"""
这儿crawl_queue用上了，就是我们__bool__函数的作用，为真则代表我们MongoDB队列里面还有数据
threads 或者 crawl_queue为真都代表我们还没下载完成，程序就会继续执行
"""
for thread in threads:
if not thread.is_alive(): ##is_alive是判断是否为空,不是空则在队列中删掉
threads.remove(thread)
while len(threads) < max_threads and crawl_queue.peek(): ##线程池中的线程少于max_threads 或者 crawl_qeue时
thread = threading.Thread(target=pageurl_crawler) ##创建线程
thread.setDaemon(True) ##设置守护线程
thread.start() ##启动线程
threads.append(thread) ##添加进线程队列
time.sleep(SLEEP_TIME)