python如何爬取淘宝某关键词的所有商品及其信息

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源代码：https://github.com/Ckend/taobao_scrapy

源代码包含两个Python文件，get_items.py 用于通过关键词获得商品基本信息，包括商品名称、店铺、销量、评论数、图片、优惠、出货地、原价等等。输出格式为.csv文件。

另一个Python文件: get_review_cloud.py 用于通过userID和itemID (从get_items.py中获得这两个信息) 获得某商品的评论云。输出.csv文件。

源代码很简单，十几行，逻辑如下：

1. 访问接口(f=urllib.request.urlopen(url))

2. 读取源代码并解码为utf-8然后转化为json

3. 写入至.csv文件。

以下给出get_items.py的内容

get_items.py:

import urllib.request

import urllib.parse

import json

import csv

def write_csv(data, filename):

count = 0

with open(filename, 'a') as outf:

dw = csv.DictWriter(outf, fieldnames=["title","sold","commentCount","item_id","shipping","fastPostFee","userId","nick","userType","isB2c","location","sellerLoc","pic_path","type","tItemType","zkType","zkGroup","priceColor","priceWithRate","auctionURL","isP4p","itemNumId","originalPrice","freight","act","coinLimit","priceWap","price","category","auctionType","url","img2","wwimUrl","previewUrl","favoriteUrl","isMobileEcard","iswebp","name","iconList","icons","area"])

if count == 0:

# 第一行才写入头部

dw.writeheader()

count += 1

for row in data:

dw.writerow(row)

def get_items(searchWords, page):

url = "https://s.m.taobao.com/search?event_submit_do_new_search_auction=1&_input_charset=utf-8&topSearch=1&atype=b&searchfrom=1&action=home%3Aredirect_app_action&from=1&q="+ str(urllib.parse.quote(searchWords)) +"&sst=1&n=20&buying=buyitnow&m=api4h6&token4h6=&abtest=20&wlsort=20&page="+str(page)

f = urllib.request.urlopen(url)

result = json.loads(f.read().decode('utf-8'))

return result['listItem']

def get_items_by_keywords(searchWords, page):

for i in range(1,page):

result = get_items(searchWords ,i)

try:

write_csv(result,"./result/"+str(searchWords)+"_result.csv")

except INdexError:

# 关键词产品已抓取完

print("该关键词产品已全部抓取完毕")

get_items_by_keywords("空气清新器", 100)

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