教你用 Python 多執行緒爬京東商城商品評論(代理ip請閱讀上一篇)
最近改進上一篇的爬蟲,不爬豆瓣了,改爬一爬京東評論,先放幾張圖研究看看先。


研究了一下,發現商品的id就是連結.html前面的數字。我們把它複製貼上下拉

1,對上一篇的代表進行修改和新增
class Spider(): def __init__(self): # score:1為差評;2為中評;3為好評,0為所有評論 # 這連結是京東jsonp回撥的資料,我們要給這連結加上商品id和評論頁碼。 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' # 新增一個新的佇列 self.pageQurl = Queue() # 上一篇是list,現在是dict self.data = dict() 複製程式碼
2,修改上一篇整個 parse_first函式
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) # 編碼格式是GBK,不是UTF-8 r.encoding = 'GBK' if r.status_code == 200: # 對回調回來的資料進行處理 res = r.text.replace('fetchJSON_comment98vv30672(', '').replace(');', '').replace('false', '0').replace('true','1') res = json.loads(res) lastPage = int(res['maxPage']) # 爬1-5頁評論 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被遮蔽') except: self.first_running = False print('代理ip代理失敗') else: self.first_running = False 複製程式碼
3,修改上一篇整個 parse_second函式
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 = [] # 記錄使用者的評論圖片與視訊 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']}) # 記錄使用者的詳細資料 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) # 執行緒隨機休眠 time.sleep(random.random() * 5) except: print('無法編譯成物件',res) except Exception as e: print('獲取失敗',str(e)) 複製程式碼
4,修改一部分run函式,
@run_time def run(self): # 爬京東商品的ID,用陣列對它們進行存放 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: # 等待執行緒終止 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.') 複製程式碼