A project in construction for tracking job offers and various activities, leveraging web scraping and integration with Notion for seamless data management.

job-tracker automates the process of tracking job offers on a specific platform and integrates the data into a Notion database. It uses Selenium for scraping and has a robust Python backend built on top of the Selenium standalone Docker image. Key features include:

1. Automated Job Scraping:
   • Dynamically loads and extracts job offers from the website.
   • Captures key details like job title, company, location, contract type, duration, number of views, and candidate count.
2. Notion Integration:
   • Syncs extracted job offers to a Notion database.
   • Skips duplicates and ensures seamless record management.
3. Real-Time Alerts:
   • Sends SMS notifications for new job offers using Free Mobile's API.

This project simplifies web scraping by providing:

1. Complete Environment:

   • The Dockerfile offers a fully configured environment, including Chromium, ready for scraping tasks. No manual setup required.
   • Optimized for scraping by using the Selenium standalone image as the base, which saves setup time and ensures stability.

2. Custom Python Scripts:

   • Scripts are pre-built to perform common scraping tasks out of the box, such as loading all offers dynamically and extracting structured data.
   • Modular and extensible design allows easy customization for other scraping tasks.

The scraper dynamically loads job offers by interacting with the "Voir Plus d'Offres" button until all offers are visible on the page.

The scraper gathers data for each job offer, including:

• Title: The job's title.
• Company: Name of the hiring company.
• Location: Job location.
• Contract Type: Type of contract (e.g., CDI, CDD).
• Duration: Duration of the position, if available.
• Views: Number of views the job listing has received.
• Candidates: Number of candidates who have applied.

Extracted data is processed and:

• Stored in a Notion database.
• Sent as SMS notifications for new offers.

The database contains the following fields:

• Title: The job's title.
• Company: Name of the hiring company.
• Location: Job location.
• Contract Type: Type of contract (e.g., CDI, CDD).
• Duration: Duration of the position.
• Views: Number of views the job listing has received.
• Candidates: Number of candidates who have applied.

• Docker installed on your system.
• Python environment with necessary libraries if not using Docker.

1. Clone the Repository:

   git clone https://github.com/your-username/job-tracker.git
   cd job-tracker

2. Build the Docker Image:

   docker build -t job-tracker .

3. Run the Application:

   docker run --rm -it job-tracker

4. Configure Environment Variables: Set the following environment variables before running:

   • DATABASE_ID: Your Notion database ID.
   • NOTION_API: Your Notion API key.
   • FREE_MOBILE_USER_ID: Your Free Mobile user ID.
   • FREE_MOBILE_API_KEY: Your Free Mobile API key.

You can access the Notion database here.

Contributions are welcome! Please fork the repository and submit a pull request.