Automated Job Search: LinkedIn Jobs to Notion Board
A Python-based job scraping system that pulls LinkedIn listings into a structured Notion database. Repository: jobs-scrape-to-notion Setup Steps Clone the repository: git clone https://github.com/namanvashistha/jobs-scrape-to-notion cd jobs-scrape-to-notion Install dependencies: pip install -r requirements.txt Configure Notion: Create a Notion integration at notion.so/my-integrations Create a new Notion database Share your database with the integration Copy the database ID from its URL Set environment variables: cp .env.example .env Update .env with your credentials: NOTION_API_KEY=your_integration_token NOTION_DATABASE_ID=your_database_id Key Features Job Scraping def fetch_jobs(search_terms, location, results_wanted=20): # Scrapes LinkedIn jobs based on multiple search terms # Returns a pandas DataFrame with job details Notion Integration Creates structured database entries Handles rich text, URLs, dates, and company logos Prevents duplicate entries Manages API rate limits Data Processing Sanitizes input data Formats salary ranges for Indian currency Handles company metadata Manages file attachments for logos Running the Scraper python main.py Default configuration: Search terms: ["Software Engineer", "Backend", "SDE"] Location: India Results per term: 20 Platform: LinkedIn Customization Modify main() in scraper.py: search_terms = ["Your", "Preferred", "Terms"] location = "Your Location" results_wanted = 30 # Number of results per term Error Handling The system includes: Comprehensive logging Rate limit management Duplicate prevention Data validation Visit the repository for source code and detailed documentation.
A Python-based job scraping system that pulls LinkedIn listings into a structured Notion database. Repository: jobs-scrape-to-notion
Setup Steps
- Clone the repository:
git clone https://github.com/namanvashistha/jobs-scrape-to-notion
cd jobs-scrape-to-notion
- Install dependencies:
pip install -r requirements.txt
-
Configure Notion:
- Create a Notion integration at notion.so/my-integrations
- Create a new Notion database
- Share your database with the integration
- Copy the database ID from its URL
Set environment variables:
cp .env.example .env
Update .env with your credentials:
NOTION_API_KEY=your_integration_token
NOTION_DATABASE_ID=your_database_id
Key Features
Job Scraping
def fetch_jobs(search_terms, location, results_wanted=20):
# Scrapes LinkedIn jobs based on multiple search terms
# Returns a pandas DataFrame with job details
Notion Integration
- Creates structured database entries
- Handles rich text, URLs, dates, and company logos
- Prevents duplicate entries
- Manages API rate limits
Data Processing
- Sanitizes input data
- Formats salary ranges for Indian currency
- Handles company metadata
- Manages file attachments for logos
Running the Scraper
python main.py
Default configuration:
- Search terms: ["Software Engineer", "Backend", "SDE"]
- Location: India
- Results per term: 20
- Platform: LinkedIn
Customization
Modify main() in scraper.py:
search_terms = ["Your", "Preferred", "Terms"]
location = "Your Location"
results_wanted = 30 # Number of results per term
Error Handling
The system includes:
- Comprehensive logging
- Rate limit management
- Duplicate prevention
- Data validation
Visit the repository for source code and detailed documentation.
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