为避免双十一买到假货，Python多线程爬京东商品评论！

最近改进上一篇的爬虫，不爬豆瓣了，改爬一爬京东评论，先放几张图研究看看先。

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研究了一下，发现商品的id就是链接.html前面的数字。我们把它复制粘贴下拉

1,对上一篇的代表进行修改和添加

class Spider():
 def __init__(self):
 # score:1为差评；2为中评；3为好评，0为所有评论
 # 这链接是京东jsonp回调的数据，我们要给这链接加上商品id和评论页码。
 self.start_url = 'https://sclub.jd.com/comment/productPageComments.action?callback=fetchJSON_comment98vv30672&productId={}&score=0&sortType=5&page={}&pageSize=10&isShadowSku=0&rid=0&fold=1'
 # 添加一个新的队列
 self.pageQurl = Queue()
 # 上一篇是list，现在是dict
 self.data = dict()
复制代码

2，修改上一篇整个 parse_first函数

def parse_first(self):
 if not self.qurl.empty():
 goodsid = self.qurl.get()
 url = self.start_url.format(goodsid,1)
 print('parse_first',url)
 try:
 r = requests.get(url, headers={'User-Agent': random.choice(self.user_agent)},proxies=self.notproxy,verify=False)
 # 编码格式是GBK，不是UTF-8
 r.encoding = 'GBK'
 if r.status_code == 200:
 # 对回调回来的数据进行处理
 res = r.text.replace('fetchJSON_comment98vv30672(', '').replace(');', '').replace('false', '0').replace('true','1')
 res = json.loads(res)
 lastPage = int(res['maxPage'])
 # 爬1-5页评论
 for i in range(lastPage)[1:5]:
 temp = str(goodsid)+ ',' + str(i)
 self.pageQurl.put(temp)
 arr = []
 for j in res['hotCommentTagStatistics']:
 arr.append({'name':j['name'],'count':j['count']})
 self.data[str(goodsid)] = {
 'hotCommentTagStatistics':arr,
 'poorCountStr':res['productCommentSummary']['poorCountStr'],
 'generalCountStr': res['productCommentSummary']['generalCountStr'],
 'goodCountStr': res['productCommentSummary']['goodCountStr'],
 'goodRate': res['productCommentSummary']['goodRate'],
 'comments': []
 }
 self.parse_first()
 else:
 self.first_running = False
 print('ip被屏蔽')
 except:
 self.first_running = False
 print('代理ip代理失败')
 else:
 self.first_running = False
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3，修改上一篇整个 parse_second函数

def parse_second(self):
 while self.first_running or not self.pageQurl.empty():
 if not self.pageQurl.empty():
 arr = self.pageQurl.get().split(',')
 url = self.start_url.format(arr[0],arr[1])
 print(url)
 try:
 r = requests.get(url,headers={'User-Agent': random.choice(self.user_agent)},proxies=self.notproxy,verify=False)
 r.encoding = 'GBK'
 if r.status_code == 200:
 res = r.text.replace('fetchJSON_comment98vv30672(', '').replace(');', '').replace('false','0').replace('true', '1')
 try:
 res = json.loads(res)
 for i in res['comments']:
 images = []
 videos = []
 # 记录用户的评论图片与视频
 if i.get('images'):
 for j in i['images']:
 images.append({'imgUrl': j['imgUrl']})
 if i.get('videos'):
 for k in i['videos']:
 videos.append({'mainUrl': k['mainUrl'], 'remark': k['remark']})
 # 记录用户的详细数据
 mydict = {
 'referenceName': i['referenceName'],
 'content': i['content'],
 'creationTime': i['creationTime'],
 'score': i['score'],
 'userImage': i['userImage'],
 'nickname': i['nickname'],
 'userLevelName': i['userLevelName'],
 'productColor': i['productColor'],
 'productSize': i['productSize'],
 'userClientShow': i['userClientShow'],
 'images': images,
 'videos': videos
 }
 self.data[arr[0]]['comments'].append(mydict)
 # 线程随机休眠
 time.sleep(random.random() * 5)
 except:
 print('无法编译成对象',res)
 except Exception as e:
 print('获取失败',str(e))
复制代码

4，修改一部分run函数，

@run_time
 def run(self):
 # 爬京东商品的ID，用数组对它们进行存放
 goodslist = ['6784500','31426982482','7694047']
 for i in goodslist:
 self.qurl.put(i)
 ths = []
 th1 = Thread(target=self.parse_first, args=())
 th1.start()
 ths.append(th1)
 for _ in range(self.thread_num):
 th = Thread(target=self.parse_second)
 th.start()
 ths.append(th)
 for th in ths:
 # 等待线程终止
 th.join()
 s = json.dumps(self.data, ensure_ascii=False, indent=4)
 with open('jdComment.json', 'w', encoding='utf-8') as f:
 f.write(s)
 print('Data crawling is finished.')