https://github.com/queukat/xing_easy_apply_bot
https://github.com/queukat/xing_easy_apply_bot
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/queukat/xing_easy_apply_bot
- Owner: queukat
- Created: 2023-11-19T11:03:40.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-25T22:17:06.000Z (over 1 year ago)
- Last Synced: 2025-10-13T16:38:30.539Z (8 months ago)
- Language: Python
- Size: 101 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- Funding: .github/FUNDING.yml
Awesome Lists containing this project
README
# XING/Join Automated Scraper & GPT Resume Builder
This project automates the following processes:
1. **Collecting job listings from XING** (saving to CSV).
2. **Evaluating job relevance via GPT** (OpenAI ChatCompletion).
3. **Automatically applying to jobs** (Easy Apply, Chat, or External).
4. **Generating PDF resumes** with GPT and WeasyPrint, tailored to each job description.
Additionally, it includes examples for join.com (handling partially filled applications) and adesso.com.
---
## Project Structure
```
xing_automation/
├─ main.py
├─ config.py
├─ gpt.py
├─ migrate.py
├─ resume.yaml
├─ resume_buld_test.py
├─ styles.css
├─ requirements.txt
├─ README.txt
├─ generated_pdfs/
├─ scrapers/
│ ├─ xing.py
│ ├─ join.py
│ ├─ adesso.py
│ ├─ gpt_resume_builder.py
│ ├─ utils.py
│ ├─ prompts.py
│ └─ prompts/
│ └─ (text prompt files)
```
- **main.py**: Entry point with a simple menu (1. collect → 2. GPT-evaluate → 3. apply).
- **config.py**: Project configuration (file paths, credentials, API keys).
- **gpt.py**: Logic to evaluate job relevance (OpenAI).
- **migrate.py**: Migrates data from stats.csv to job_listings.csv.
- **resume.yaml**: Example of candidate data in YAML (personal info, skills, etc.).
- **resume_buld_test.py**: Tests generating a PDF resume with GPT & WeasyPrint.
- **styles.css**: CSS for generated PDF.
- **scrapers/**: Contains scrapers for XING, join, adesso, plus utility modules.
- **generated_pdfs/**: Stores generated PDF files.
---
## Installation
1. **Clone** the repository:
```sh
git clone https://github.com//xing-automation.git
cd xing-automation
```
2. **(Optional) Create a virtual environment**:
```sh
python -m venv .venv
source .venv/bin/activate # On Linux / Mac
.venv\Scripts\activate # On Windows
```
3. **Install dependencies**:
```sh
pip install -r requirements.txt
```
Or install modules individually:
```sh
pip install playwright openai weasyprint langdetect pyyaml deep-translator
```
4. **(Optional) Install Playwright browsers**:
```sh
playwright install
```
5. **Update `config.py`**:
- Set your `OPENAI_API_KEY`.
- Enter your XING login/password.
- Adjust any file paths if needed.
---
## Usage
Simply run `main.py`:
```sh
python main.py
```
You will see a menu like:
```
1 - Collect jobs (XING)
2 - GPT relevance evaluation
3 - Auto-apply on XING
4 - All steps (1 -> 2 -> 3)
0 - Exit
```
- **Collect**: scrapes XING job listings into `job_listings.csv`.
- **Evaluate**: uses GPT to score and comment (GPT_Score, GPT_Reason).
- **Apply**: automatically applies to selected jobs (Easy Apply), or marks external links.
---
## Resume Data
- **`resume.yaml`**: Contains your personal details, skills, experience, etc.
- **`resume_buld_test.py`**: Shows how to generate a PDF resume (GPT + WeasyPrint).
- For a minimal example, see `resume_template.yaml` or the main `resume.yaml`.
---
## Contributing
Pull requests are welcome. For large changes, open an issue first to discuss your ideas.
---
## License
Licensed under the MIT License (see `LICENSE.txt` for details).