def get_detail(self, shop_id, request_type='proxy, cookie'):
url = 'http://www.dianping.com/shop/' + str(shop_id)
r = requests_util.get_requests(url, request_type=request_type)
if r.status_code == 403:
print('检查浏览器，处理验证码,替换cookie，输入y解除限制',
'http://www.dianping.com/shop/' + str(shop_id))
while input() != 'y':
import time
time.sleep(1)
requests_util.update_cookie()
r = requests_util.get_requests(url, request_type=request_type)
text = r.text
# 获取加密文件
file_map = get_search_map_file(text)
# 替换加密字符串
text = requests_util.replace_search_html(text, file_map)
# 网页解析
html = BeautifulSoup(text, 'lxml')
"""
解析格式1（一般餐饮居多）
"""
# 基础信息
main_info = html.select('.main')[0]
shop_name = '-'
review_count = '-'
avg_price = '-'
score = '-'
address = '-'
phone = '-'
other_info = '-'
try:
base_info = main_info.select('#basic-info')[0]
try:
shop_name = base_info.select('.shop-name')[0].text
# 过滤标题后缀，例：手机扫码 优惠买单
remove_a = base_info.select('a')
for each in remove_a:
shop_name = shop_name.replace(each.text, '')
shop_name = shop_name.strip()
except:
shop_name = '-'
try:
brief_info = main_info.select('.brief-info')[0]
# Todo 单独json接口响应，js加密参数，由后期慢慢解决，但是仍然保留这个字段，其他解析方式有时可以解析这个字段
# try:
# score = brief_info.select('.star-wrapper')[0].select('.mid-score')[0].text.strip()
# except:
# score = None
try:
review_count = brief_info.select(
'#reviewCount')[0].text.strip()
except:
review_count = '-'
try:
avg_price = brief_info.select(
'#avgPriceTitle')[0].text.strip()
except:
avg_price = '-'
# Todo 这个建议使用info中信息，这里的有可能会不准，动态参数由json返回
# try:
# comment_score = brief_info.select('#comment_score')[0].text.strip()
# except:
# comment_score = None
try:
address = main_info.find(attrs={
'itemprop': 'street-address'
}).text.strip()
except:
address = '-'
try:
phone = main_info.select('.tel')[0].text.strip()
except:
phone = '-'
try:
other_info = main_info.select('.other')[0].text.replace(
'修改', '').strip()
except:
other_info = '-'
except:
# Todo 前台显示手动滑动解锁
# self.get_detail(shop_id)
pass
# Todo 促销信息 （单独接口 js加密）
# try:
# sale_info = ''
# sales = main_info.select('#sales')
# for sale in sales:
# for tag in sale.select('.item'):
# try:
# title = tag.select('.title')[0].text
# price = tag.select('.price')[0].text
# del_price = tag.select('.del-price')[0].text
# sale_info += title + '\t' + price + '\t' + del_price + '\n'
# except:
# continue
# except:
# sales = None
except:
# 切换解析方式
pass
"""
解析格式2（一般酒店居多）
"""
# Todo 这种解析方式没有加密，会在解析加密文件时报错，反正这种格式数量不多，暂时不做更改了
# if shop_name is '-':
# # 名称解析不到，换一种解析方式
# try:
# base_info = html.select('base-info')[0]
# try:
# shop_name = base_info.select('.hotel-title')[0].text
# except:
# shop_name = None
# try:
# address = base_info.find(attrs={'itemprop': 'address'}).text.strip()
# except:
# address = None
# try:
# score = base_info.select('.hotel-scope')[0].select('.score')[0].text
# except:
# score = None
# except:
# # Todo 前台显示手动滑动解锁
# # self.get_detail(shop_id)
# pass
# pass
detail_info = {
'店铺id': shop_id,
'店铺名': shop_name,
'评论总数': review_count,
'人均价格': avg_price,
'店铺地址': address,
'店铺电话': phone,
'其他信息': other_info
}
return detail_info
def search(self, key_word, only_need_first=True, needed_pages=50):
"""
搜索
:param key_word: 关键字
:param only_need_first: 只需要第一条
:param needed_pages: 需要多少页
:return:
"""
# Todo 不需要详情页和评论，只需要首页搜索 不需要cookie
assert isinstance(key_word, str)
assert key_word != None or key_word.strip() != ''
if self.custom_search_url != '':
key_word = self.custom_search_url
logger.info('开始搜索:' + key_word)
# header = self.get_header()
for i in tqdm(range(1, needed_pages + 1), desc='页数'):
# 针对只需要收条的情况，跳出页数循环
if only_need_first is True and i != 1:
break
url = 'http://www.dianping.com/search/keyword/' + str(
self.location_id) + '/' + str(
self.channel_id) + '_' + str(key_word) + '/p' + str(i)
if self.custom_search_url != '':
url = self.custom_search_url + str(i)
r = requests_util.get_requests(url)
# r = requests.get(url, headers=header)
text = r.text
# 获取加密文件
file_map = get_search_map_file(text)
# 替换加密文件
text = requests_util.replace_search_html(text, file_map)
# 网页解析
html = BeautifulSoup(text, 'lxml')
shop_all_list = html.select('.shop-list')[0].select('li')
search_res = []
for shop in shop_all_list:
try:
image_path = shop.select('.pic')[0].select('a')[0].select(
'img')[0]['src']
except:
image_path = '-'
try:
shop_id = shop.select('.txt')[0].select('.tit')[0].select(
'a')[0]['data-shopid']
except:
shop_id = '-'
try:
detail_url = shop.select('.txt')[0].select(
'.tit')[0].select('a')[0]['href']
except:
detail_url = '-'
try:
name = shop.select('.txt')[0].select('.tit')[0].select(
'a')[0].text.strip()
except:
name = '-'
# 两个star方式，有的页面显示详细star分数，有的显示icon
# 解析icon
try:
star_point = \
shop.select('.txt')[0].select('.comment')[0].select('.star_icon')[0].select('span')[0]['class'][
1].split('_')[1]
star_point = float(star_point) / 10
star_point = str(star_point)
except:
star_point = '-'
# 解析详细star
try:
star_point = \
shop.select('.txt')[0].select('.comment')[0].select('.star_score')[0].text
star_point = float(star_point)
star_point = str(star_point)
except:
pass
try:
review_number = shop.select('.txt')[0].select(
'.comment')[0].select('.review-num')[0].text.replace(
'\n', '')
except:
review_number = '-'
try:
mean_price = shop.select('.txt')[0].select('.comment')[
0].select('.mean-price')[0].select('b')[0].text
except:
mean_price = '￥0'
try:
tags = shop.select('.txt')[0].select(
'.tag-addr')[0].select('.tag')
tag1 = tags[0].text.replace('\n', ' ').strip()
tag2 = tags[1].text.replace('\n', ' ').strip()
except:
tag1 = '-'
tag2 = '-'
try:
addr = shop.select('.txt')[0].select(
'.tag-addr')[0].select('.addr')[0].text.replace(
'\n', ' ').strip()
except:
addr = '-'
try:
recommend = shop.select('.recommend')[0].text.replace(
'\n', ' ').strip()
except:
recommend = '-'
try:
commend_list = shop.select(
'.comment-list')[0].text.replace('\n', ' ').strip()
except:
commend_list = '-'
one_step_search_res = [
shop_id, name, star_point, review_number, mean_price, tag1,
tag2, addr, recommend, commend_list, image_path,
detail_url, 1, 1
] # 最后两位是搜索标记
# 这个数据结构暂时没用
search_res.append(one_step_search_res)
# 只要首条，跳出
if only_need_first is True:
break
# 解析详情页
if self.need_detail == '1':
try:
detail = Detail().get_detail(shop_id)
print('\n' + ','.join(detail) + '\n')
self.saver.save_data([detail], 'detail')
except:
# 设置标记
one_step_search_res[-2] = 0
logger.warning('详情信息获取失败，失败id：' + shop_id)
print('\n' + ','.join(one_step_search_res) + '\n')
if self.jump_wait is False:
print(
'检查浏览器，处理验证码，输入y程序继续运行,输入n跳过检查',
'http://www.dianping.com/shop/' + str(shop_id))
if input() == 'y':
continue
elif input() == 'n':
self.jump_wait = True
else:
print('\n' + ','.join(one_step_search_res) + '\n')
# 解析评论页
if self.need_comment == '1':
try:
review = Review().get_review(shop_id)
print('获取', name, '评论', len(review), '条')
self.saver.save_data(review, 'review')
except:
# 设置标记
one_step_search_res[-1] = 0
logger.warning('评论获取失败，失败id：' + shop_id)
# 保存数据
self.saver.save_data([one_step_search_res], 'search')
logger.info('解析完成:' + key_word)
def search(self, search_url, request_type='proxy, cookie'):
"""
搜索
:param key_word: 关键字
:param only_need_first: 只需要第一条
:param needed_pages: 需要多少页
:return:
"""
r = requests_util.get_requests(search_url, request_type=request_type)
text = r.text
# 获取加密文件
file_map = get_search_map_file(text)
# 替换加密文件
text = requests_util.replace_search_html(text, file_map)
# 网页解析
html = BeautifulSoup(text, 'lxml')
shop_all_list = html.select('.shop-list')[0].select('li')
search_res = []
for shop in shop_all_list:
try:
image_path = shop.select('.pic')[0].select('a')[0].select('img')[0]['src']
except:
image_path = '-'
try:
shop_id = shop.select('.txt')[0].select('.tit')[0].select('a')[0]['data-shopid']
except:
shop_id = '-'
try:
detail_url = shop.select('.txt')[0].select('.tit')[0].select('a')[0]['href']
except:
detail_url = '-'
try:
name = shop.select('.txt')[0].select('.tit')[0].select('a')[0].text.strip()
except:
name = '-'
# 两个star方式，有的页面显示详细star分数，有的显示icon
# 解析icon
try:
star_point = \
shop.select('.txt')[0].select('.comment')[0].select('.star_icon')[0].select('span')[0]['class'][
1].split('_')[1]
star_point = float(star_point) / 10
star_point = str(star_point)
except:
star_point = '-'
# 解析详细star
try:
star_point = \
shop.select('.txt')[0].select('.comment')[0].select('.star_score')[0].text
star_point = float(star_point)
star_point = str(star_point)
except:
pass
try:
review_number = shop.select('.txt')[0].select('.comment')[0].select('.review-num')[0].text.replace(
'\n', '')
except:
review_number = '-'
try:
mean_price = shop.select('.txt')[0].select('.comment')[0].select('.mean-price')[0].select('b')[
0].text
except:
mean_price = '￥0'
try:
tags = shop.select('.txt')[0].select('.tag-addr')[0].select('.tag')
tag1 = tags[0].text.replace('\n', ' ').strip()
tag2 = tags[1].text.replace('\n', ' ').strip()
except:
tag1 = '-'
tag2 = '-'
try:
addr = shop.select('.txt')[0].select('.tag-addr')[0].select('.addr')[0].text.replace('\n',
' ').strip()
except:
addr = '-'
try:
recommend = shop.select('.recommend')[0].text.replace('\n', ' ').strip()
except:
recommend = '-'
try:
comment_list = shop.select('.comment-list')[0].text.replace('\n', ' ').strip()
except:
comment_list = '-'
one_step_search_res = {
'店铺id': shop_id,
'店铺名': name,
'评论个数': review_number,
'人均价格': mean_price,
'标签1': tag1,
'标签2': tag2,
'店铺地址': addr,
'详情链接': detail_url,
'图片链接': image_path,
'详细评分': comment_list,
'推荐菜': recommend,
'店铺均分': star_point,
}
search_res.append(one_step_search_res)
# yield one_step_search_res
return search_res