Created
April 25, 2023 12:37
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import os | |
import requests | |
import pandas as pd | |
def download_expense(link, file_name, folder): | |
response = requests.get(link) | |
if response.status_code == 200: | |
os.makedirs(folder, exist_ok=True) | |
with open(os.path.join(folder, file_name), 'wb') as f: | |
f.write(response.content) | |
else: | |
print(f"Failed to download file from {link}") | |
def parse_and_download_expenses(file_path): | |
df = pd.read_excel(file_path) | |
root_folder = "Expenses" | |
for _, row in df.iterrows(): | |
try: | |
document_date = pd.to_datetime(row.iloc[4]) | |
except: | |
document_date = pd.to_datetime(row.iloc[3]) | |
expense_description = row.iloc[9].replace('.', '_') | |
total_amount = str(row.iloc[6]).replace('.', '_') | |
link = row.iloc[18] | |
file_name = f"{document_date.strftime('%Y-%m-%d')}_{expense_description}_{total_amount}.jpg" | |
folder = os.path.join(root_folder, document_date.strftime('%Y-%m')) | |
download_expense(link, file_name, folder) | |
print(f"Downloaded: {file_name} to folder {folder}") | |
if __name__ == "__main__": | |
file_path = "path/to/your/xlsx/file.xlsx" | |
parse_and_download_expenses(file_path) |
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