This is my 93rd day of #100daysofcode and #python learning journey. For the first project I keep collecting data for this I run my news scrapping code once a day I plan to collect more than 5000 data. I will continue collecting data till 2 weeks from today after that I will do some visualization similarly I also plan to apply some concept of natural language processing to classify news. My first project is not still completed.
Today I also make a plan to scrapped bank data. My aim here is I collect the interest rate of the maximum bank of Nepal and will do some visualization. I still making a plan for it. After I plan will complete I share my whole plan here. Below is my code for the bank's interest rate scrapping using BeautifulSoup and I made DataFrame using pandas.
Bank's Interest rate scrapping code:
Here I import all necessary dependencies.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import re
from bs4 import BeautifulSoup as BS
import requests
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
Url of particular bank which contain interest rates.
url = "https://www.muktinathbank.com.np/interest-rates"
http = urllib3.PoolManager()
http.addheaders = [('User-agent', 'Mozilla/61.0')]
web_page = http.request('GET', url)
soup = BS(web_page.data, 'html5lib')
muktinath_intrst = []
table = soup.find("table")
for table in soup.findAll("table"):
df = pd.read_html(str(table))[0]
muktinath_intrst.append(df)
muktinath_intrst[0]
Output of above code is,
PRODUCT INFO PRODUCT INTEREST RATE(PER ANNUM) PAYMENT ON MINIMUM BALANCE
0 {{normal-saving-account}}-{{3.50;3.50;NRs. 500... 1. Normal Saving 3.50% Quarterly Basis Rs. 500
1 {{muktinath-premium-bachat}}-{{3.5;3.5;NRs. 10... 2. Muktinath Premium Bachat 3.50% Quarterly Basis Rs. 1000
2 NaN 3.Muktinath Special Premium Bachat 3.50% Quarterly Basis Rs. 2000
3 {{muktinath-super-premium-saving-account}}-{{5... 4. Muktinath Super Premium Bachat 5.50% Quarterly Basis Rs. 5000
4 NaN 5.Current Account - - Rs. 5000
5 NaN 6.Current Account Other * - - Rs. 1000
6 {{mahila-pewa-bachat-khata}}-{{4.5;4.5;Nrs. 50... 7.Mahila Pewa Bachat 4.50% Quarterly Basis Rs. 500
7 {{sunaulo-bal-bachat}}-{{3.5;3.5;Nrs. 0;Quater... 8.Sunaulo Bal Shichha Bachat 3.50% Quarterly Basis -
8 NaN 9. Baidesik Rojgar Bachat 3.50% Quarterly Basis Rs. 500
9 NaN 10. Micro Personal Saving 3.50% Quarterly Basis Rs. 100
10 NaN 11. Other Micro Savings 3.50% Quarterly Basis Rs. 100
11 {{karmachari-bachat}}-{{3.0;3.0;Nrs. 100;Quate... 12. Karmachari Bachat 3.50% Quarterly Basis -
12 {{sharedhani-bachat-khata}}-{{3.0;3.0;Nrs. 100... 13. Sharedhani Bachat Khata 3.50% Quarterly Basis Rs. 100
13 NaN 14. Beema Bachat 3.50% Quarterly Basis Rs. 100
14 NaN 15. Provident Fund Account 3.50% Quarterly Basis -
15 NaN 16. Samajik Surakchha Bhatta Khata 3.50% Quarterly Basis -
16 NaN 17. Aatmanirbhar Bachat Khata 5.50% Quarterly Basis -
17 {{sajilo-bachat-khata}}-{{3.5;3.5;Nrs. 0;Quate... 18. Sajilo Bachat 3.50% Quarterly Basis -
18 {{mero-pahilo-bachat-khata}}-{{3.5;3.5;Nrs. 0;... 19. Mero Pahilo Bachat Khata 3.50% Quarterly Basis -
19 NaN 20. Muktinath PMS Khata 3.50% Quarterly Basis -
20 NaN 21. Muktinath Jeevan Bardan Bachat Khata 4.00% Monthly Basis Rs.5000
21 NaN 22.Muktinath Jeevan Bardan Plus Bachat Khata 4.00% Monthly Basis Rs.5000
22 NaN 23.Muktinath Jeevan Bardan Premium Bachat Khata 4.00% Monthly Basis Rs.5000
23 NaN 24. Byaktigat Upalabdhi Khata 3.50% Quarterly Basis NaN
24 NaN 25.Sansthagat Upalabdhi Khata up to 1.75% Quarterly Basis NaN
25 NaN 26. FCY Deposit ($,£,€,AUD) up to 1.50% Quarterly Basis 10
26 NaN 27.Call Depost Account up to 1.75% Quarterly Basis NaN
Day 93 Of #100daysofcode and #python
— Durga Pokharel (@durgacodes) April 1, 2021
Scrapping bank data like interest rate from bank website.#WomenWhoCode #CodeNewbie #100DaysOfCode #DEVCommunity pic.twitter.com/Lq897wtDbJ
Top comments (0)