Python实现【亚马逊商品】数据采集

前言

亚马逊公司，是美国最大的一家网络电子商务公司，位于华盛顿州的西雅图
是网络上最早开始经营电子商务的公司之一，亚马逊成立于1994年
今天教大家用Python批量采集亚马逊平台商品数据（完整代码放在文末）
地址：https://www.amazon.cn/

分析网站数据，找到url地址

1. 按F12，打开开发者工具，并刷新网站

2. 点击搜索，输入数据关键词

3. 找到数据所在url地址

开始我们的代码

1. 发送请求

headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9','Accept-Encoding': 'gzip, deflate, br','Accept-Language': 'zh-CN,zh;q=0.9','Cache-Control': 'max-age=0','Connection': 'keep-alive','Cookie': 'session-id=460-4132650-8765807; i18n-prefs=CNY; ubid-acbcn=457-7935785-7667244; session-token=Laa3G6hMbBpdAIPYwutQqKxkSISU8fb2jTr0JiczqkeVISvqn2eqjw4N0BAbYfmy8+/S1B3kLvDb9ImsBnbwQHU6JG8EToefDoi69keaL1F6ExYDXCSqFF0hC4fkGAFJlNYYNqfVlvj5ewTVJP1pYgL4JG2tjM5O2Uk7ufiL9s7gvidAMaUj1QtBW5puqmoG; csm-hit=adb:adblk_no&t:1645531896484&tb:s-VMQ97YXPSC1MBACTN14J|1645531895768; session-id-time=2082729601l','downlink': '10','ect': '4g','Host': 'www.amazon.cn','Referer': 'https://www.amazon.cn/b/ref=s9_acss_bw_cg_pccateg_2a1_w?node=106200071&pf_rd_m=A1U5RCOVU0NYF2&pf_rd_s=merchandised-search-2&pf_rd_r=KE929JDVF8QRWWDQCWC0&pf_rd_t=101&pf_rd_p=cdcd9a0d-d7cf-4dab-80db-2b7d63266973&pf_rd_i=42689071','rtt': '150','sec-ch-ua': '" Not A;Brand";v="99", "Chromium";v="98", "Google Chrome";v="98"','sec-ch-ua-mobile': '?0','sec-ch-ua-platform': '"Windows"','Sec-Fetch-Dest': 'document','Sec-Fetch-Mode': 'navigate','Sec-Fetch-Site': 'same-origin','Sec-Fetch-User': '?1','Upgrade-Insecure-Requests': '1','User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.102 Safari/537.36',
}url = 'https://www.amazon.cn/s?rh=n%3A106200071&fs=true&ref=lp_106200071_sar'response = requests.get(url=url, headers=headers)

2. 获取数据

返回结果为<Response [200]>: 请求成功
把结果封装

data_html = response.text

3. 解析数据

selector = parsel.Selector(data_html)
divs = selector.css('.a-section.a-spacing-base')
for div in divs:# ::text: 提取到标签文本内容title = div.css('.a-size-base-plus.a-color-base.a-text-normal::text').get()price = div.css('.a-size-base.a-link-normal.s-underline-text.s-underline-link-text.s-link-style.a-text-normal .a-price .a-offscreen::text').get()img_url = div.css('.a-section.aok-relative.s-image-square-aspect .s-image::attr(src)').get()link = div.css('.a-link-normal.s-no-outline::attr(href)').get()print(title, price, img_url, link)

4. 保存数据

5. 翻页