https://github.com/codex-crusader/digital-footprint-cleaner
A privacy-first web app that helps users locate and erase their digital footprint across public websites. Built using Python, Flask, and HTML โ fully automated, legal, and open source.
https://github.com/codex-crusader/digital-footprint-cleaner
Last synced: 4 months ago
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A privacy-first web app that helps users locate and erase their digital footprint across public websites. Built using Python, Flask, and HTML โ fully automated, legal, and open source.
- Host: GitHub
- URL: https://github.com/codex-crusader/digital-footprint-cleaner
- Owner: Codex-Crusader
- License: mit
- Created: 2025-06-12T04:09:00.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-20T01:52:06.000Z (12 months ago)
- Last Synced: 2025-06-20T02:32:49.509Z (12 months ago)
- Language: HTML
- Size: 42 KB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- License: LICENSE_MIT.md
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README
# ๐ต๏ธโโ๏ธ Digital Footprint Cleaner
A privacy-first, open-source web app that helps users identify and clean up traces of their personal information across the web โ by generating real, ready-to-send data removal petitions.
---
## Pictures


---
## ๐ Features
- ๐ **Search** for your name or email using DuckDuckGo (privacy-respecting, no tracking).
- ๐ **Select** results you want removed.
- โ๏ธ **Auto-generate legal petitions** following GDPR/IT Act-style formats.
- โ๏ธ **Legal guide** included to inform you of your rights.
- ๐ก Simple, clean UI โ white background with purple accents.
- โ
Fully written in **Python + HTML** (PyCharm Community Edition compatible).
---
## ๐งฐ Tech Stack
- **Frontend**: HTML (Jinja2 templates)
- **Backend**: Python (Flask)
- **Search API**: [`duckduckgo-search`](https://pypi.org/project/duckduckgo-search/)
- **Petition Generator**: Custom Python logic
-
---
## ๐ ๏ธ Installation
1. **Clone the repo**
```bash
git clone https://github.com/YOUR_USERNAME/digital-footprint-cleaner.git
cd digital-footprint-cleaner
2. **Create a virtual environment (recommended)**
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. **Install dependencies**
```bash
pip install -r requirements.txt
```
4. **Run the app**
```bash
python app.py
```
5. **Open in your browser**
```
http://127.0.0.1:5000
```
---
## ๐ Project Structure
```
digital-footprint-cleaner/
โโโ app.py
โโโ scanner.py
โโโ requirements.txt
โโโ utils/
โ โโโ petition_writer.py
โโโ templates/
โ โโโ index.html
โ โโโ legal.html
โโโ data/
โ โโโ services.json
โโโ LICENSE
โโโ README.md
โโโ .gitignore
```
---
## ๐ญ Roadmap
### Future Features & Contributions Welcome:
The current version lays the foundation for identifying personal data online and generating takedown petitions. Future versions will aim to take this further by:
* ๐งน Pruning sensitive data from the internet using legal and ethical methods after identifying digital footprints.
* ๐ฌ Integrating with takedown request portals and email services to automate delivery of removal petitions.
* ๐ง Enhancing link classification using NLP to distinguish between harmless mentions and potentially harmful exposure (e.g., resumes, data leaks, personal contact info).
* ๐ Expanding international support for region-specific privacy laws (e.g., CCPA, GDPR, India's DPDP Act).
* ๐งพ Customizable petition templates based on site and data type.
* ๐ Adding a personal privacy dashboard to track takedown requests, statuses, and threat levels.
* ๐ต๏ธ Anonymized community-driven reports to identify new high-risk platforms.
---
## ๐ค Contributing
Contributions are welcome!
๐ See [CONTRIBUTING.md](contributing.md) for guidelines.
You can:
* Suggest new features
* Improve petition generation logic
* Add global legal templates
* Enhance search result filters
* Refactor code or improve documentation
Fork it โ Improve it โ Submit a PR ๐
---
## ๐ก License
This project is licensed under the [MIT License](LICENSE_MIT.md).
## ๐ Acknowledgements
* [DuckDuckGo](https://duckduckgo.com) โ for privacy-friendly web search
* [Flask](https://flask.palletsprojects.com) โ for its lightweight Python web framework
* You โ for caring about your digital identity ๐ง