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Financial Data Analysis IV Crawling Stock Data - Method 1 -- requests&bs4&re

· 2 Minutes to read
Allen Ma

Case (II) crawl prep​

Project two: crawling stock data using two different methods​

Method one: requests&bs4&re​

import requests
from bs4 import BeautifulSoup
import re


def getHTMLText(url, code="utf-8"):
    kv = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36'}
    try:
        r = requests.get(url, headers=kv)
        r.raise_for_status()
        r.encoding = code
        return r.text
    except:
        return ""


def getStockList(lst, stockURL):
    html = getHTMLText(stockURL, "GB2312")
    soup = BeautifulSoup(html, 'html.parser')
    li = soup.find('section', attrs={'class': 'stockTable'})
    a = li.find_all('a')
    for i in a:
        try:
            href = i.attrs['href']
            lst.append(re.findall(r"[S][HZ]\d{6}", href)[0])
        except:
            continue


def getStockInfo(lst, stockURL, fpath):
    count = 0
    for stock in lst:
        url = stockURL + stock
        html = getHTMLText(url)
        try:
            if html == "":
                continue
            infoDict = {}
            soup = BeautifulSoup(html, 'html.parser')
            stockInfo = soup.find('section', attrs={'class': 'stock_price clearfix'})
            mc = soup.find('header', attrs={'class': 'stock_title'})
            name = mc.find('h1')
            infoDict.update({'股票名称': name.text})

            keyList = stockInfo.find_all('dt')
            valueList = stockInfo.find_all('dd')
            for i in range(len(keyList)):
                key = keyList[i].text
                val = valueList[i].text
                infoDict[key] = val

            with open(fpath, 'a', encoding='utf-8_sig') as f:
                f.write(str(infoDict) + '\n')
                count = count + 1
                print("\r当前进度: {:.2f}%".format(count * 100 / len(lst)), end="")
        except:
            count = count + 1
            print("\r当前进度: {:.2f}%".format(count * 100 / len(lst)), end="")
            continue


def main():
    stock_list_url = 'https://hq.gucheng.com/gpdmylb.html'
    stock_info_url = 'https://hq.gucheng.com/'
    output_file = 'BaiduStockInfo.csv'
    slist = []
    getStockList(slist, stock_list_url)
    getStockInfo(slist, stock_info_url, output_file)


main()

Projects take a while to run and progress can be viewed via the output desk.

在这里插入图片描述 More than an hour later. The execution was finished A total of 3590 data 在这里插入图片描述