ChatBabu Reverse Engineered

Overview

This project aims to reverse-engineer the ChatBabu website by scraping its data and interacting with its API using Python. The notebook demonstrates how to send requests to ChatBabu's endpoints and process the returned data.

Complexities

API Interaction

Challenge: Interacting with the ChatBabu API using appropriate headers and payloads.
Solution: Configured detailed headers and payloads to mimic legitimate requests, ensuring successful API interactions.

Data Handling

Challenge: Processing multipart form-data for POST requests.
Solution: Utilized Python's BytesIO to encode payloads correctly and handle multipart form-data efficiently.

Challenges and Solutions

Challenge 1: Request Formatting

Problem: Ensuring the payload and headers are formatted correctly for API requests.
Solution: Carefully constructed the headers and payloads to match the API's requirements.

Challenge 2: Response Parsing

Problem: Extracting useful information from the complex JSON responses.
Solution: Implemented robust parsing functions to extract and display relevant data from the API responses.

Getting Started

Prerequisites

Python 3.x
requests library (pip install requests)

Installation

Clone the repository:

git clone https://github.com/faisal-fida/ChatBabu-ReverseEngineered.git
cd ChatBabu-ReverseEngineered

Install the required Python packages:
```
pip install -r requirements.txt
```

Run the Jupyter notebook:

jupyter notebook chatbabu_reverse_engineered.ipynb

Usage

The notebook includes code to interact with the ChatBabu API, send queries, and process the results.
Modify the query variable to test different inputs and observe the responses.

Contributing

We welcome contributions from the community. Please feel free to submit issues or pull requests.

License

This project is licensed under the MIT License. See the LICENSE file for details.