前言

本文给大家分享的是如何通过Python爬虫采集网易财经易数据

开发工具

Python版本： 3.8

相关模块：

requests模块
parsel模块

环境搭建

安装Python并添加到环境变量，pip安装需要的相关模块即可。

思路分析

本文以爬虫网易财经数据，讲解如何采集股票历史交易数据

爬取网易财经数据如下图所示:

财经数据

提取页面数据

浏览器中打开我们要爬取的页面
按F12进入开发者工具，查看我们想要的数据在哪里
这里我们需要股票页面数据就可以了

页面数据

代码实现

    # 1. 发送请求
    response = requests.get(url)
    # 2. 获取数据
     json_data = response.json()
    # 3. 解析数据
    list = json_data['list']   # 所有的股票信息
        for i in list:
        # i 代表的是每一个股票的 信息
        SYMBOL = i['SYMBOL']
        NAME = i['NAME']
        PRICE = i['PRICE']
        PERCENT = i['PERCENT']
        UPDOWN = i['UPDOWN']
        FIVE_MINUTE = i['FIVE_MINUTE']
        OPEN = i['OPEN']
        YESTCLOSE = i['YESTCLOSE']
        HIGH = i['HIGH']
        LOW = i['LOW']
        VOLUME = i['VOLUME']
        TURNOVER = i['TURNOVER']
        HS = i['HS']
        try:
            LB = i['LB']
        except:
            LB = ""
        WB = i['WB']
        ZF = i['ZF']
        try:
            PE = i['PE']
        except:
            PE = ""
        TCAP = i['TCAP']
        MFSUM = i['MFSUM']
        MFRATIO2 = i['MFRATIO']['MFRATIO2']
        MFRATIO10 = i['MFRATIO']['MFRATIO10']
        print(SYMBOL, NAME, PRICE, PERCENT, UPDOWN, FIVE_MINUTE, OPEN, YESTCLOSE, HIGH, LOW, VOLUME, TURNOVER, HS, LB, WB, ZF, PE, TCAP, MFSUM, MFRATIO2, MFRATIO10)
        # 4. 保存数据
        csv_writer.writerow([SYMBOL, NAME, PRICE, PERCENT, UPDOWN, FIVE_MINUTE, OPEN, YESTCLOSE, HIGH, LOW, VOLUME, TURNOVER, HS, LB, WB, ZF, PE, TCAP, MFSUM, MFRATIO2, MFRATIO10])