This tool facilitates the seamless download of Bulk MCA V3 documents from Finanvo using Corporate Identification Numbers (CIN) listed in a CSV file. This project aims to simplify and expedite the retrieval process, enhancing efficiency in managing and accessing crucial financial documents.
- Efficiency: Download multiple V3 documents effortlessly.
- User-friendly: Intuitive CSV input for easy CIN management.
- Time-saving: Automate the retrieval process for enhanced productivity.
- Download a file named "V3Docs.zip".
- Unzip the downloaded file.
- Open a file called "userdata.json" and replace the placeholders for Useremail and Userpassword with your Finanvo credentials. Save the changes and close the file.
- Open a file named "ToDownloadCINV3Docs.csv" and add CIN (Corporate Identification Number) values to the "CIN" column. Save the changes and close the file.
- Install Python and the Pandas library on your computer, and make sure to set the installation path.
- Navigate to the folder where the Python script (MainProgram.py) is located.
- Open the command prompt in that folder by typing "cmd" in the address bar.
- In the command prompt, type the following command: # python MainProgram.py
- This command will initiate the downloading process using the CIN numbers from the CSV file.
Python 3.x & Pandas Library
Contributions are welcome! Feel free to open issues or submit pull requests.