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crawl_report.py
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crawl_report.py
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import time
import requests
import datetime
import numpy as np
import pandas as pd
from io import StringIO
def load_csv(year, month, type):
if type == 'monthly':
df = pd.read_csv('data/monthly/%d_%d.csv' % (year, month))
elif type == 'seasonal':
df = pd.read_csv('data/seasonal/營益分析彙總表/%d_%d.csv' % (year, month))
else:
print('get 404, wrong type')
return df
def monthly(year, month):
# 假如是西元，轉成民國
if year > 1990:
year -= 1911
url = 'https://mops.twse.com.tw/nas/t21/sii/t21sc03_' + \
str(year)+'_'+str(month)+'_0.html'
if year <= 98:
url = 'https://mops.twse.com.tw/nas/t21/sii/t21sc03_' + \
str(year)+'_'+str(month)+'.html'
# 偽瀏覽器
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
# 下載該年月的網站，並用pandas轉換成 dataframe
r = requests.get(url, headers=headers)
r.encoding = 'big5'
dfs = pd.read_html(StringIO(r.text), encoding='big-5')
df = pd.concat([df for df in dfs if df.shape[1] <= 11 and df.shape[1] > 5])
if 'levels' in dir(df.columns):
df.columns = df.columns.get_level_values(1)
else:
df = df[list(range(0, 10))]
column_index = df.index[(df[0] == '公司代號')][0]
df.columns = df.iloc[column_index]
df['當月營收'] = pd.to_numeric(df['當月營收'], 'coerce')
df = df[~df['當月營收'].isnull()]
df = df[df['公司代號'] != '合計']
return df
def seasonal(year, season, type='營益分析彙總表'):
# 假如是西元，轉成民國
if year > 1990:
year -= 1911
if type == '營益分析彙總表':
url = 'https://mops.twse.com.tw/mops/web/ajax_t163sb06'
r = requests.post(url, {
'encodeURIComponent': 1,
'step': 1,
'firstin': 1,
'off': 1,
'TYPEK': 'sii',
'year': str(year),
'season': str(season),
})
r.encoding = 'utf8'
dfs = pd.read_html(r.text)
for i, df in enumerate(dfs):
df.columns = df.iloc[0]
dfs[i] = df.iloc[1:]
df = pd.concat(dfs, sort=False).applymap(
lambda x: x if x != '--' else np.nan)
df = df[df['公司代號'] != '公司代號']
df = df[~df['公司代號'].isnull()]
elif type == '綜合損益彙總表':
url = 'https://mops.twse.com.tw/mops/web/ajax_t163sb04'
r = requests.post(url, {
'encodeURIComponent': 1,
'step': 1,
'firstin': 1,
'off': 1,
'TYPEK': 'sii',
'year': str(year),
'season': str(season),
})
r.encoding = 'utf8'
dfs = pd.read_html(r.text)
df = pd.concat([df for df in dfs if df.shape[1] > 10], sort=False)
df.columns = df.columns.get_level_values(0)
df['營業利益（損失）'] = pd.to_numeric(df['營業利益（損失）'], 'coerce')
df['營業外收入及支出'] = pd.to_numeric(df['營業外收入及支出'], 'coerce')
df['基本每股盈餘（元）'] = pd.to_numeric(df['基本每股盈餘（元）'], 'coerce')
df = df[~df['營業利益（損失）'].isnull()]
df = df[~df['營業外收入及支出'].isnull()]
df = df[~df['基本每股盈餘（元）'].isnull()]
# elif type == '資產負債彙總表':
# url = 'https://mops.twse.com.tw/mops/web/ajax_t163sb05'
else:
print('type does not match')
return df
def cast_n_months(n_months, load_report, save_report):
data = {}
now = datetime.datetime.now()
year = now.year
month = now.month
# 獲取近n個月的資料
while len(data) < n_months:
print('parsing', year, month)
if load_report:
try:
data['%d-%d-01' %
(year, month)] = load_csv(year, month, type='monthly')
except:
print('get 404, please check if the revenues are not revealed')
else:
try:
data['%d-%d-01' % (year, month)] = monthly(year, month)
if save_report:
data['%d-%d-01' % (year, month)].to_csv('data/monthly/%d_%d.csv' %
(year, month), encoding='utf-8', index=False)
except:
print('get 404, please check if the revenues are not revealed')
# 減一個月
month -= 1
if month == 0:
month = 12
year -= 1
time.sleep(10)
return data
def cast_n_seasons(n_seasons, load_report, save_report):
data = {}
now = datetime.datetime.now()
year = now.year
month = now.month
if month <= 3:
season = 1
elif month <= 6:
season = 2
elif month <= 9:
season = 3
elif month <= 12:
season = 4
else:
print('get 404, please check if the season is conrrect')
# 獲取近n個季的資料
while len(data) < n_seasons:
print('parsing', year, season)
if load_report:
try:
data['%d-%d-01' %
(year, season)] = load_csv(year, season, type='seasonal')
except:
print('get 404, please check if the financial reports are not revealed')
else:
try:
data['%d-%d-01' % (year, season)] = seasonal(year, season, type='營益分析彙總表')
if save_report:
data['%d-%d-01' % (year, season)].to_csv('data/seasonal/營益分析彙總表/%d_%d.csv' %
(year, season), encoding='utf-8', index=False)
except:
print('get 404, please check if the financial reports are not revealed')
# 減一季
season -= 1
if season == 0:
season = 4
year -= 1
time.sleep(10)
return data