Merge pull request #898 from neelshah2409/main

Bank Data Finder

Author: prathimacode-hub

BasicPythonScripts/Bank Data Finder/Images/output(bank_data_finder).mp4

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+# **Bank Data Finder**
+
+## Aim/Purpose
+
+- To get all the information regarding any bank using their IFSC code
+
+## Short description of package/script
+
+- Here using request we request the details from ifsc.razorpay.com website and then fetch all the information properly through pandas in proper format and to make it a web app we use streamlit.
+- Here we fetch all the feture/facility available at the bank like rtgs , upi ,neft , imgs , etc.
+- List out the libraries imported > pandas , requests and streamlit.
+
+
+## Workflow of the Project
+
+- Just get the url and ifsc codes of the bank first and then run the script and then enter and code so the details of that bank brach will be shown .
+
+
+## Setup instructions
+
+- Clone my repository.
+- Install the required libraries.
+- `bank_data_finder.py` is the main python file of Streamlit Web Application.
+- To run app, write following command in CMD. or use any IDE.
+
+ ```
+ streamlit run bank_data_finder.py
+ ```
+
+
+## Output
+
+- ![image](Images/output_1(bank_data_finder).png)
+
+## Author(s)
+
+- Neel Shah

BasicPythonScripts/Bank Data Finder/Images/output_1(bank_data_finder).png

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+import streamlit as st
+import requests
+import pandas as pd
+
+def Bank_Data_Finder(IFSC_Code):
+ try:
+ #fetching the data
+ url = 'https://ifsc.razorpay.com/' + 'IFSC Code'
+ bank_info = requests.get(url).json()
+ all_details = []
+ bank_name = bank_info['BANK']
+ branch = bank_info['BRANCH']
+ address = bank_info['ADDRESS']
+ city = bank_info['CITY']
+ state = bank_info['STATE']
+ ifsc = bank_info['IFSC']
+ contact = bank_info['CONTACT']
+ upi = 'UPI: ' + 'Available' if bank_info['UPI'] == True else 'Not Available'
+ rtgs = 'RTGS: ' + 'Available' if bank_info['RTGS'] == True else 'Not Available'
+ neft = "NEFT: " + 'Available' if bank_info['NEFT'] == True else 'Not Available'
+ imps = 'IMPS: ' + 'Available' if bank_info['IMPS'] == True else 'Not Available'
+ #appending all the details
+ all_details.append(bank_name)
+ all_details.append(branch)
+ all_details.append(address)
+ all_details.append(city)
+ all_details.append(state)
+ all_details.append(ifsc)
+ all_details.append(contact)
+ all_details.append(upi)
+ all_details.append(rtgs)
+ all_details.append(neft)
+ all_details.append(imps)
+ return all_details
+ except Exception as e:
+ print(e)
+
+def run():
+ #function for streamlit
+ st.title("Bank IFSC Finder")
+
+ ## IFSC
+ ifsc = st.text_input('Enter your Bank IFSC Code Eg.KARB0000001')
+ if st.button("Search"):
+ bank_data = Bank_Data_Finder(ifsc)
+ data = pd.DataFrame(bank_data)
+ if bank_data:
+ index_name = ['Bank Name','Branch','Address','City','State','IFSC','Contact','UPI','RTGS','NEFT','IMPS']
+ df = pd.DataFrame({'Info': bank_data},index = index_name)
+ st.dataframe(df)
+ else:
+ st.warning("Check your IFSC code!!!")
+run()
+
+### Sample IFSC codes
+# UTIB0003655
+# SBIN0000813
+# UBIN0531324

BasicPythonScripts/Bank Data Finder/README.md

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+Libraries used: Streamlit , requests ,pandas