Python爬取晨星网的基金数据

r囧r小猫 2021-07-04 21:36 774阅读 0赞

# -*- coding: utf-8 -*-
    
    import sys
    from lxml import etree
    import time
    import random
    import requests
    import json
    import csv
    from selenium import webdriver   # 导入webdriver模块
    from bs4 import BeautifulSoup
    from time import sleep
    
    
    class ChengxingspiderItem:
        def __init__(self):
            self.fund_code = ""
            self.fund_name = ""
            self.fund_price = ""
            self.category = ""
            self.inception = ""
            self.subscribe = ""
            self.redeem = ""
            self.sbdesc = ""
            self.sharprate = ""
            self.date = ""
            self._i = 0
    
        def __iter__(self):
            return self
    
        def __next__(self):
            if self._i == 0:
                self._i += 1
                return self.fund_code
            elif self._i == 1:
                self._i += 1
                return self.fund_name
            elif self._i == 2:
                self._i += 1
                return self.fund_price
            elif self._i == 3:
                self._i += 1
                return self.category
            elif self._i == 4:
                self._i += 1
                return self.sharprate
            elif self._i == 5:
                self._i += 1
                return self.date
            else:
                raise StopIteration()
    
    
    class FundSpider():
        name = 'fund'
        allowed_domains = ['cn.morningstar.com/quicktake/']
        # fund_list = ['0P0000Z821', 'F0000003VJ', '0P00016WFU', 'F000000416', 'F0000004AI',
        # '0P00015HFT', 'F0000003ZX', '0P000147K8', '0P0000P5UD', '0P0001606X']
        fund_list = ['0P0000RU7I', '0P0000S0NU', '0P0000XBF0', '0P0000YXTA', '0P0000Z5JW', '0P0000ZEAH', '0P00015WGK', '0P0001606X', '0P000160TK', '0P00016A08', '0P00016DKC',
                     '0P00016FT6', '0P000178CP', '0P00018J2K', '0P00018KU4', '0P0001ABM2', '0P0001D6IU', '0P0001F1K9', '0P0001FDKQ', 'F0000003VJ', 'F0000004AI', 'F0000004JE']
    
        start_urls = [
            f'http://cn.morningstar.com/quicktake/{page}' for page in fund_list]
    
        # json_url = 'http://cn.morningstar.com/handler/quicktake.ashx'
        url = 'http://cn.morningstar.com/handler/quicktake.ashx'
        webUrl = 'http://cn.morningstar.com/quicktake/'
    
        def parse(self, response):
    
            # 把网页变成xpath结构
            fund_xpath = etree.HTML(response)
            item = ChengxingspiderItem()
    
            fund_name = fund_xpath.xpath('//*[@id="qt_fund"]/span[1]/text()')
            fund_price = fund_xpath.xpath(
                '//*[@id="qt_base"]/ul[1]/li[2]/span/text()')
            date = fund_xpath.xpath('//*[@id="qt_base"]/ul[1]/li[3]/text()')
    
            category = fund_xpath.xpath(
                '//*[@id="qt_base"]/ul[3]/li[7]/span/text()')
            sharprate = fund_xpath.xpath('//*[@id="qt_risk"]/li[30]/text()')
    
            item.fund_code = fund_name[0][:6]
            item.fund_name = fund_name[0][7:]
            item.fund_price = fund_price[0]
            if len(category) != 0:
                item.category = category[0]
            if len(sharprate) != 0:
                item.sharprate = sharprate[0]
    
            item.date = date[0][5:]
    
            print(item.fund_code)
            print(item.fund_name)
            print(item.fund_price)
            print(item.category)
            print(item.sharprate)
    
            # print(len(date[0]))
            # print(type(item['date']))
            # print(type(fund_price))
            # print(dir(fund_price))
            # print(len(str(date)))
            # print(str(date)[-12:-1])
            return list(item)
    
    
    if __name__ == '__main__':
    
        # headers = {'User-Agent':
        # 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36',
        # 'Host': 'cn.morningstar.com'
        # }
        fs = FundSpider()
    
        # 指定chrom的驱动
        # 执行到这里的时候Selenium会到指定的路径将chrome driver程序运行起来
        # driver = webdriver.Chrome('./chromedriver/chromedriver.exe')
        # driver = webdriver.Firefox()#这里是火狐的浏览器运行方法
    
        options = webdriver.ChromeOptions()
        options.add_argument("--no-sandbox")
        driver = webdriver.Chrome(
            './chromedriver/chromedriver.exe', chrome_options=options)
    
        cookies = ''
        headers = ['fund_code', 'fund_name',
                   'fund_price', 'category', 'sharprate', 'date']
        rows = [
    
        ]
    
        for urlitem in fs.start_urls:
            # soup = BeautifulSoup(html_doc, 'html.parser')
            if(cookies == ''):
                # 可以通过 id 获取 form 表单
                driver.get(urlitem)
                username = driver.find_element_by_id('emailTxt')
                password = driver.find_element_by_id('pwdValue')
                username.send_keys('***********@qq.com')
                password.send_keys('w*************')
                submit = driver.find_element_by_id('loginGo')
                submit.click()
                sleep(1)
                # 获取网站cookie
                cookies = driver.get_cookies()
            else:
                # driver.add_cookie(cookies)
                driver.get(urlitem)
            singlerow = fs.parse(driver.page_source)
            rows.append(singlerow)
            # reobj = requests.get(urlitem, headers=headers) # 对HTTP响应的数据
            # fs.parse(reobj)
    
        with open('test.csv', 'w', newline='')as f:
            f_csv = csv.writer(f)
            f_csv.writerow(headers)
            f_csv.writerows(rows)

## 如图： ##

![在这里插入图片描述][20200916092816158.png]

--------------------

## CSV示例 ##

import csv
    
    headers = ['class', 'name', 'sex', 'height', 'year']
    
    rows = [
        [1, 'xiaoming', 'male', 168, 23],
        [1, 'xiaohong', 'female', 162, 22],
        [2, 'xiaozhang', 'female', 163, 21],
        [2, 'xiaoli', 'male', 158, 21]
    ]
    
    with open('test.csv', 'w',newline='')as f:
        f_csv = csv.writer(f)
        f_csv.writerow(headers)
        f_csv.writerows(rows)

## 如图： ##

![在这里插入图片描述][20200916094507484.png]

[下载地址][Link 1]

[20200916092816158.png]: /images/20210704/4134925a12914168bc2bc2fc144f710b.png
[20200916094507484.png]: /images/20210704/dfa8461ba9df4c8888958d5d1a2af62b.png
[Link 1]: https://download.csdn.net/download/WuLex/12849000