inpass


Nameinpass JSON
Version 1.1.1 PyPI version JSON
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home_pagehttps://mrfidal.in
SummaryAutomated login attempts for Instagram.
upload_time2024-07-02 11:14:34
maintainerNone
docs_urlNone
authorFidal
requires_pythonNone
licenseNone
keywords
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bugtrack_url
requirements No requirements were recorded.
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            #  inpass 1.1.1

`inpass` is a Python package designed for automated login attempts on Instagram. This package can help automate the login process using multiple passwords, handle CAPTCHA challenges, and track URL changes during login attempts.

## Features

- Automated login attempts for Instagram.
- Handles CAPTCHA challenges by pausing and allowing manual resolution.
- Tracks URL changes during the login process.
- Command-line interface (CLI) and programmatic usage supported.

## Installation

You can install the package using `pip`:

```bash
pip install inpass
```

## Usage

### Command-line Interface
- You can use the inpass package directly from the command line. Here’s how:
```bash
inpass --username your_username --password-file passwords.txt
```

### Programmatic Usage
- You can also use the inpass package programmatically in your Python scripts. Below is an example:

```python
import time
import inpass

username = "your_username"
password_file = "passwords.txt"

with open(password_file, 'r') as file:
    passwords = file.read().splitlines()

for password in passwords:
    if inpass.login(username, password):
        print(f"Password match: {password}")
        break
    else:
        print(f"Password {password} not matching")
    time.sleep(1)
else:
    print("All passwords failed.")
```
## License
This project is licensed under the MIT License. See the LICENSE file for details.

### Acknowledgments
Thank you to all the contributors and users who have supported the development of this project.

#### Disclaimer
This package is intended for educational and research purposes only. The author is not responsible for any misuse of this software.

- Thank you for using inpass. We hope it helps you automate your login attempts efficiently.

            

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