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Basic Environment Configuration

• Python 3.6
• pycharm
• requests
• csv
• time

The related module PIP can be installed

Target page

Analysis of web page

Everything is in The Turi

Find the data, directly request the web page, parse the data, save the data

The request page

import requests
url = 'https://xueqiu.com/service/v5/stock/screener/quote/list'
response = requests.get(url=url, params=params, headers=headers, cookies=cookies)
html_data = response.json()
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Analytical data

data_list = html_data['data']['list'] for i in data_list: Dit = {} dit [' stock code] = [' symbol '] I dit [' stock name '] = [' name '] I dit [' current price] = [' current '] I dit [' rise and fall of '] = [' CHG] I dit [' price / %] = [' percent] I dit [' year-to-date / %] = [' current_year_percent] I dit [' volume '] = [' volume '] I dit [' turnover '] = [' amount '] I dit [' turnover rate / %] = [' turnover_rate] I dit [' p/e TTM] = [' pe_ttm] I dit [' dividend yield / %] = [' dividend_yield] I dit [' market value '] = [' market_capital] I print(dit) 12345678910111213141516Copy the code

Save the data

Import CSV f = open(' stock data.csv ', mode='a', encoding=' UTF-8-sig ', newline='') csv_writer = csv.dictwriter (f, encoding=' utF-8-sig ', newline='') Fieldnames = [' stock code ', 'stock name', 'current price', 'or the forehead', 'price / %', 'year-to-date / %', 'volume', 'turnover', 'turnover rate / %', 'p/e TTM', 'dividend yield / %' ]) csv_writer.writeHeader () csv_writerow (dit) f.close() 123456Copy the code