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main.py
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# 作者：韩乃超
# 日期：2021年10月29日
######
#
#
# 使用方法：先运行get_asins.py生成爬取记录表 newAsin.csv
# 接着运行本文件
# 运行后使用recordAsin.py记录下爬取的movie asin号（记录在newAsin.csv中）
import csv
import logging
import re
import time
from concurrent.futures import ThreadPoolExecutor
import eventlet
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
import jsonlines
import pandas as pd
import requests # 导入requests包
from bs4 import BeautifulSoup
sleep_time = 3
long_sleep_time = 60 * 3
tol_attempts = 0 # 某段时间总尝试次数
success_attempts = 0 # 该段时间内的成功次数
cookies = {}
df = pd.read_csv('newAsin.csv') # 存储是否被爬取的记录
web_header = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36',
"Connection": "closer",
"Upgrade-Insecure-Requests": "1",
"Cache-Control": "max-age=0",
"Referer": "http: // www.google.com",
'accept-language': 'en-US,en;q=0.9,zh-CN;q=0.8,zh;q=0.7,zh-TW;q=0.6',
'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',
'accept-encoding': 'gzip, deflate, br'
}
# 第一种代理
def get_proxy():
return requests.get("http://127.0.0.1:5010/get").json()
proxy = get_proxy().get("proxy")
def getStrHtml(url):
try:
global tol_attempts # 总的尝试次数
tol_attempts += 1
# 第二种代理
# proxypool_url = 'http://127.0.0.1:5555/random'
# proxy=requests.get(proxypool_url).text.strip()
# proxies = {'http': 'http://' + proxy}
# print(proxy)
# proxy = random.choice(proxy_list)
# strhtml = requests.get(url, headers=web_header, cookies=cookies)
strhtml = requests.get(url, headers=web_header, cookies=cookies, proxies={"http": "http://{}".format(proxy)})
# print(strhtml.status_code)
soup = BeautifulSoup(strhtml.text, 'lxml')
movie_title = str(soup.select('title')[0].getText())
if movie_title == "Amazon.com" or movie_title == "Sorry! Something went wrong!" or movie_title == 'Robot Check':
print(movie_title)
return -1
print(movie_title)
global success_attempts
success_attempts += 1 # 成功的尝试次数
data = soup.select('#imdbInfo_feature_div > span > i')
emptyData = soup.select('#cannotbefound') # 创造一个空的data
if data != emptyData: # 判断是不是电影
print(url)
print("movie")
# 将页面写入一个.html，用来debug
# f = open(url[26:36] + ".html", 'w', encoding='utf-8')
# # str_content = strhtml.text.decode('utf-8')
# f.write(strhtml.text)
# f.close()
return soup
else:
print(url)
print("not movie")
return 0
except Exception as e:
print('[error]', e)
return -1
def download_one_page(url, lineNum):
# print(lineNum)
jsonwriter = jsonlines.open("movie.json", "a")
# 如果已经被写入，则直接跳过
# print(lineNum, url[26:36])
if df.loc[lineNum - 2, 'isGot'] == 1:
return
soup = getStrHtml(url) # 尝试一次
attempts = 0
while soup == -1: # 不成功继续尝试
attempts += 1
if attempts == 5:
break
time.sleep(sleep_time)
with eventlet.Timeout(20, False):
soup = getStrHtml(url)
if soup == 0: # 记录不是movie 但是已经爬去取过
dictionary = {
'ASIN': url[26:36],
'isMovie': False,
}
jsonwriter.write(dictionary)
jsonwriter.close()
# 获取到信息了才去选择
if type(soup) != int:
# 在这里存储爬取的信息
dictionary = {
'ASIN': '',
'Title': ' ',
'Actors': [],
'Director': [],
'IMDB grade': '',
'Date First Available': '',
'style': '',
'version': [],
'reviews': [],
# .......
}
# ASIN /Actors /Director /Date First Available信息
name = str(soup.select("#productTitle")).replace("\n", "")[71:].replace("</span>]", "").replace("VHS", "")
dictionary['Title'] = name
imdb_grade = float(str(soup.select("#imdbInfo_feature_div>span>strong"))[9:12])
dictionary['IMDB grade'] = imdb_grade
date_soup = soup.select("#declarative_ .dp-title-col .title-text>span")
if len(date_soup) >= 3:
date = str(soup.select("#declarative_ .dp-title-col .title-text>span")[2])[40:-7]
dictionary['Date First Available'] = date
person_careers = soup.select("#bylineInfo > span > span > span")
person_names = soup.select("#bylineInfo > span > a.a-link-normal")
for index in range(len(person_careers)):
if "Actor" in person_careers[index].get_text():
dictionary['Actors'].append(person_names[index].get_text())
if "Director" in person_careers[index].get_text():
dictionary['Director'].append(person_names[index].get_text())
dictionary['ASIN'] = url[26:36]
# style（风格）
styledata = soup.select("#wayfinding-breadcrumbs_feature_div > ul > li > span > a")
# print(styledata)
lenth = len(styledata)
# print(lenth)
# tempstr = styledata[lenth - 1].get_text()
# print(tempstr.strip())
dictionary['style'] = styledata[lenth - 1].get_text().strip()
# 格式
versiondata = soup.select("#tmmSwatches > ul > li > span > span > span > a > span:nth-child(1)")
for item in versiondata:
# print(item.get_text())
dictionary['version'].append(item.get_text())
# 评论相关信息
reviewdata = soup.select("#cm-cr-dp-review-list > div")
reviews = []
count = 0
for item in reviewdata: # 循环读取评论
count += 1
if count > 5:
break
reviewerid = item['id']
# print(item['id']) #id
reviewername = item.select("div > a > div.a-profile-content > span")[0].get_text()
# print(item.select("div > a > div.a-profile-content > span")[0].get_text()) # 用户名
helpfulstr = item.select(".a-size-base.a-color-tertiary.cr-vote-text")
if len(helpfulstr) == 0: # 有的评论下面没有有帮助text
numhelpful = 0
else:
helpfulstr = helpfulstr[0].get_text()
numhelpful = re.findall("\d+", helpfulstr) # 当只有一个人时 显示的数字是“one”
if len(numhelpful) == 0:
numhelpful = 1
else:
numhelpful = numhelpful[0]
# print(helpfulstr)
# print(re.findall("\d+", helpfulstr)[0]) # 有帮助人数
starclass = item.select(".a-icon.a-icon-star")[0]['class'][2]
starnum = re.findall("\d+", starclass)[0]
# print(re.findall("\d+", starclass)[0]) # 星级
dateinfo = item.select(".a-color-secondary.review-date")[0].get_text()
# print(dateinfo) # 时间
summary = item.select(".a-color-base.review-title-content.a-text-bold > span")[0].get_text()
# print(summary) # 总结
text = item.select(".a-expander-partial-collapse-content > span")[0].get_text()
# print(text) # 评论text
reviewdic = {
'reviewerid': reviewerid,
'rewiewername': reviewername,
'helpfulnum': numhelpful,
'score': starnum,
'date': dateinfo,
'summary': summary,
'text': text
}
# print(reviewdic)
reviews.append(reviewdic)
# dictionary['review'].append(reviewdic)
# print(reviews)
dictionary['reviews'] = reviews
# print(dictionary)
jsonwriter.write(dictionary)
jsonwriter.close()
# 成功率计算部分
global tol_attempts, success_attempts
print(tol_attempts, success_attempts, 'suc_rate:', success_attempts / tol_attempts)
if success_attempts / tol_attempts < 0.30: # 成功率低于0.2的话休息2分钟
# time.sleep(long_sleep_time)
global proxy
proxy = get_proxy().get("proxy")
success_attempts = 0 # 重置计数
tol_attempts = 0
if tol_attempts > 100: # 每一百次尝试重置一次计数
success_attempts = 0
tol_attempts = 0
def executor_callback(worker):
logger.info("called worker callback function")
worker_exception = worker.exception()
if worker_exception:
logger.exception("Worker return exception: {}".format(worker_exception))
if __name__ == '__main__':
# 使用线程池
asinFile = open("newAsin.csv")
reader = csv.reader(asinFile)
# 创建线程池
with ThreadPoolExecutor(8) as t:
for item in reader:
if reader.line_num < 2:
continue
if reader.line_num > 15000:
break
url = 'https://www.amazon.com/dp/' + item[0]
future = t.submit(download_one_page, url, reader.line_num)
future.add_done_callback(executor_callback)
# print(future.exception())
t.shutdown()
asinFile.close()
print("全部下载完毕!")