本文实例讲述了python实现爬取千万淘宝商品的方法。分享给大家供大家参考。具体实现方法如下:
import time import leveldb from urllib.parse import quote_plus import re import json import itertools import sys import requests from queue import Queue from threading import Thread URL_BASE = 'http://s.m.taobao.com/search?q={}&n=200&m=api4h5&style=list&page={}' def url_get(url): # print('GET ' + url) header = dict() header['Accept'] = 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8' header['Accept-Encoding'] = 'gzip,deflate,sdch' header['Accept-Language'] = 'en-US,en;q=0.8' header['Connection'] = 'keep-alive' header['DNT'] = '1' #header['User-Agent'] = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.71 Safari/537.36' header['User-Agent'] = 'Mozilla/12.0 (compatible; MSIE 8.0; Windows NT)' return requests.get(url, timeout = 5, headers = header).text def item_thread(cate_queue, db_cate, db_item): while True: try: cate = cate_queue.get() post_exist = True try: state = db_cate.Get(cate.encode('utf-8')) if state != b'OK': post_exist = False except: post_exist = False if post_exist == True: print('cate-{}: {} already exists ... Ignore'.format(cate, title)) continue db_cate.Put(cate.encode('utf-8'), b'crawling') for item_page in itertools.count(1): url = URL_BASE.format(quote_plus(cate), item_page) for tr in range(5): try: items_obj = json.loads(url_get(url)) break except KeyboardInterrupt: quit() except Exception as e: if tr == 4: raise e if len(items_obj['listItem']) == 0: break for item in items_obj['listItem']: item_obj = dict( _id = int(item['itemNumId']), name = item['name'], price = float(item['price']), query = cate, category = int(item['category']) if item['category'] != '' else 0, nick = item['nick'], area = item['area']) db_item.Put(str(item_obj['_id']).encode('utf-8'), json.dumps(item_obj, ensure_ascii = False).encode('utf-8')) print('Get {} items from {}: {}'.format(len(items_obj['listItem']), cate, item_page)) if 'nav' in items_obj: for na in items_obj['nav']['navCatList']: try: db_cate.Get(na['name'].encode('utf-8')) except: db_cate.Put(na['name'].encode('utf-8'), b'waiting') db_cate.Put(cate.encode('utf-8'), b'OK') print(cate, 'OK') except KeyboardInterrupt: break except Exception as e: print('An {} exception occured'.format(e)) def cate_thread(cate_queue, db_cate): while True: try: for key, value in db_cate.RangeIter(): if value != b'OK': print('CateThread: put {} into queue'.format(key.decode('utf-8'))) cate_queue.put(key.decode('utf-8')) time.sleep(10) except KeyboardInterrupt: break except Exception as e: print('CateThread: {}'.format(e)) if __name__ == '__main__': db_cate = leveldb.LevelDB('./taobao-cate') db_item = leveldb.LevelDB('./taobao-item') orig_cate = '正装' try: db_cate.Get(orig_cate.encode('utf-8')) except: db_cate.Put(orig_cate.encode('utf-8'), b'waiting') cate_queue = Queue(maxsize = 1000) cate_th = Thread(target = cate_thread, args = (cate_queue, db_cate)) cate_th.start() item_th = [Thread(target = item_thread, args = (cate_queue, db_cate, db_item)) for _ in range(5)] for item_t in item_th: item_t.start() cate_th.join()
希望本文所述对大家的Python程序设计有所帮助。
标签:
python,爬取,淘宝商品
免责声明:本站文章均来自网站采集或用户投稿,网站不提供任何软件下载或自行开发的软件!
如有用户或公司发现本站内容信息存在侵权行为,请邮件告知! 858582#qq.com
暂无“python实现爬取千万淘宝商品的方法”评论...
RTX 5090要首发 性能要翻倍!三星展示GDDR7显存
三星在GTC上展示了专为下一代游戏GPU设计的GDDR7内存。
首次推出的GDDR7内存模块密度为16GB,每个模块容量为2GB。其速度预设为32 Gbps(PAM3),但也可以降至28 Gbps,以提高产量和初始阶段的整体性能和成本效益。
据三星表示,GDDR7内存的能效将提高20%,同时工作电压仅为1.1V,低于标准的1.2V。通过采用更新的封装材料和优化的电路设计,使得在高速运行时的发热量降低,GDDR7的热阻比GDDR6降低了70%。
更新动态
2025年01月11日
2025年01月11日
- 小骆驼-《草原狼2(蓝光CD)》[原抓WAV+CUE]
- 群星《欢迎来到我身边 电影原声专辑》[320K/MP3][105.02MB]
- 群星《欢迎来到我身边 电影原声专辑》[FLAC/分轨][480.9MB]
- 雷婷《梦里蓝天HQⅡ》 2023头版限量编号低速原抓[WAV+CUE][463M]
- 群星《2024好听新歌42》AI调整音效【WAV分轨】
- 王思雨-《思念陪着鸿雁飞》WAV
- 王思雨《喜马拉雅HQ》头版限量编号[WAV+CUE]
- 李健《无时无刻》[WAV+CUE][590M]
- 陈奕迅《酝酿》[WAV分轨][502M]
- 卓依婷《化蝶》2CD[WAV+CUE][1.1G]
- 群星《吉他王(黑胶CD)》[WAV+CUE]
- 齐秦《穿乐(穿越)》[WAV+CUE]
- 发烧珍品《数位CD音响测试-动向效果(九)》【WAV+CUE】
- 邝美云《邝美云精装歌集》[DSF][1.6G]
- 吕方《爱一回伤一回》[WAV+CUE][454M]