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# sugartrail
Network analysis tool for locating suspicious directors, locations and companies via Companies House
# Sugartrail
## Tool Description
Sugartrail is a work-in-progress network analysis tool and workflow that helps researchers to use a suspicious company director to discover other suspicious companies, directors and locations through Companies House.
The workflow is based on the following observations:
- suspicious directors often have many active appointments registered to multiple historic addresses
- addresses with many registered businesses can contain multiple scam businesses
## Requirements
You will require an API key from Companies House to authenticate with the API. First you will need to create a live application to get an API key which you can do by following the [Companies House guide](https://developer.company-information.service.gov.uk/how-to-create-an-application). You will then need to manually hard-code the API key inside the `sugartrail.py` script as the value for `access_token`.
## Installation
1. Make sure you have Conda installed
2. Download the tool's repository using the command:
```bash
git clone https://github.com/ribenamaplesyrup/sugartrail.git
```
3. Navigate to the main directory and run:
```bash
conda env create -f environment.yml
conda activate candystore
```
## Usage
- A walkthrough of how to use the tool is included in the linked Jupyter notebook showing how we can get from suspicious Candy Stores of Oxford Street to several prolific scammers.