Skip to content

github_issues.md

Latest commit

 

History

History
430 lines (323 loc) · 12.8 KB

github_issues.md

File metadata and controls

430 lines (323 loc) · 12.8 KB

GitHub Issues for JobMiner Project

This file contains ready-to-use GitHub issue templates for the JobMiner project. Copy and paste these into your GitHub repository's Issues section.

Issue 1: Add LinkedIn Jobs Scraper

Title: [Feature] Add LinkedIn Jobs Scraper

Labels: enhancement, hacktoberfest, scraper, good first issue

Description:

🎯 Objective

Create a scraper for LinkedIn Jobs to extract job listings and integrate it with the JobMiner toolkit.

📋 Requirements

  • Create scrapers/linkedin/ directory
  • Implement LinkedInScraper class extending BaseScraper
  • Handle LinkedIn's job search URLs and pagination
  • Extract job details: title, company, location, description, salary (if available)
  • Add proper error handling and rate limiting
  • Include comprehensive README with usage examples
  • Add requirements.txt with necessary dependencies

🛠 Implementation Details

  • Base URL: https://www.linkedin.com/jobs/search
  • Search Parameters: Keywords, location, job type, experience level
  • Rate Limiting: Minimum 2-3 seconds delay between requests
  • User Agent: Use rotating user agents to avoid detection

📁 File Structure

scrapers/linkedin/
├── linkedin_scraper.py
├── linkedin_readme.md
└── requirements.txt

🔧 Technical Notes

  • LinkedIn may require handling of dynamic content (consider Selenium if needed)
  • Respect robots.txt and LinkedIn's terms of service
  • Handle CAPTCHA gracefully by logging warnings
  • Consider using session management for better performance

✅ Acceptance Criteria

  • Scraper successfully extracts job listings from LinkedIn
  • Integrates seamlessly with JobMiner CLI (jobminer scrape linkedin "python developer")
  • Follows the established code patterns and error handling
  • Includes comprehensive documentation and examples
  • Passes basic testing with various search terms

🚀 Getting Started

  1. Review the demo scraper in scrapers/demo-company/
  2. Use python jobminer_cli.py init to generate a template
  3. Study LinkedIn's job search page structure
  4. Implement the required methods: get_job_urls() and parse_job()

Issue 2: Add Indeed Jobs Scraper

Title: [Feature] Add Indeed Jobs Scraper

Labels: enhancement, hacktoberfest, scraper, good first issue

Description:

🎯 Objective

Create a scraper for Indeed.com to extract job listings and integrate it with the JobMiner toolkit.

📋 Requirements

  • Create scrapers/indeed/ directory
  • Implement IndeedScraper class extending BaseScraper
  • Handle Indeed's job search URLs and pagination
  • Extract job details: title, company, location, description, salary
  • Add proper error handling and rate limiting
  • Include comprehensive README with usage examples
  • Add requirements.txt with necessary dependencies

🛠 Implementation Details

  • Base URL: https://www.indeed.com/jobs
  • Search Parameters: q (query), l (location), start (pagination)
  • Rate Limiting: 2-3 seconds delay between requests
  • CSS Selectors: Job cards, titles, companies, descriptions

📁 File Structure

scrapers/indeed/
├── indeed_scraper.py
├── indeed_readme.md
└── requirements.txt

🔧 Technical Notes

  • Indeed has good HTML structure for scraping
  • Handle sponsored job listings appropriately
  • Extract salary information when available
  • Parse relative dates ("2 days ago") to standard format

✅ Acceptance Criteria

  • Scraper successfully extracts job listings from Indeed
  • Integrates with JobMiner CLI
  • Handles pagination correctly
  • Extracts all available job fields
  • Includes error handling for missing elements

Issue 3: Add Glassdoor Jobs Scraper

Title: [Feature] Add Glassdoor Jobs Scraper

Labels: enhancement, hacktoberfest, scraper, advanced

Description:

🎯 Objective

Create a scraper for Glassdoor Jobs to extract job listings with salary insights.

📋 Requirements

  • Create scrapers/glassdoor/ directory
  • Implement GlassdoorScraper class extending BaseScraper
  • Handle Glassdoor's job search and authentication requirements
  • Extract job details including salary estimates and company ratings
  • Add proper error handling and rate limiting
  • Include comprehensive README with usage examples

🛠 Implementation Details

  • Base URL: https://www.glassdoor.com/Job/jobs.htm
  • Challenge: May require handling of login/signup prompts
  • Special Features: Company ratings, salary estimates, interview insights
  • Rate Limiting: 3-5 seconds delay (Glassdoor is more restrictive)

🔧 Technical Notes

  • Glassdoor may show popups or require registration
  • Consider using Selenium for dynamic content
  • Handle geo-location requests gracefully
  • Extract unique Glassdoor features (company ratings, salary insights)

✅ Acceptance Criteria

  • Successfully extracts job listings with salary data
  • Handles Glassdoor's anti-bot measures gracefully
  • Extracts company ratings and additional insights
  • Integrates with JobMiner CLI and database

Issue 4: Add Remote.co Jobs Scraper

Title: [Feature] Add Remote.co Jobs Scraper

Labels: enhancement, hacktoberfest, scraper, good first issue

Description:

🎯 Objective

Create a scraper for Remote.co to extract remote job listings.

📋 Requirements

  • Create scrapers/remote-co/ directory
  • Implement RemoteCoScraper class extending BaseScraper
  • Focus on remote job opportunities
  • Extract job details with remote-specific information
  • Add proper error handling and rate limiting

🛠 Implementation Details

  • Base URL: https://remote.co/remote-jobs/
  • Focus: Remote work opportunities
  • Categories: Development, design, marketing, etc.
  • Rate Limiting: 2 seconds delay between requests

✅ Acceptance Criteria

  • Extracts remote job listings successfully
  • Handles job categories and filtering
  • Integrates with JobMiner CLI
  • Includes remote-specific job metadata

Issue 5: Add Job Data Analytics Dashboard

Title: [Feature] Create Job Data Analytics Dashboard

Labels: enhancement, hacktoberfest, frontend, analytics

Description:

🎯 Objective

Create a web-based dashboard to visualize and analyze scraped job data.

📋 Requirements

  • Create a Flask/FastAPI web application
  • Connect to JobMiner database
  • Create interactive charts and visualizations
  • Add filtering and search capabilities
  • Responsive design for mobile and desktop

🛠 Implementation Details

  • Framework: Flask or FastAPI
  • Frontend: HTML/CSS/JavaScript with Chart.js or D3.js
  • Database: Connect to existing SQLAlchemy models
  • Features:
    • Job trends over time
    • Salary distribution charts
    • Top companies and locations
    • Skill demand analysis

📁 File Structure

dashboard/
├── app.py
├── templates/
├── static/
├── requirements.txt
└── README.md

✅ Acceptance Criteria

  • Web dashboard displays job analytics
  • Interactive charts and filters
  • Responsive design
  • Connects to JobMiner database
  • Includes documentation for setup

Issue 6: Add Job Alert System

Title: [Feature] Implement Job Alert System

Labels: enhancement, hacktoberfest, automation, notifications

Description:

🎯 Objective

Create a job alert system that monitors for new jobs matching user criteria and sends notifications.

📋 Requirements

  • Create alert configuration system
  • Implement job monitoring and comparison
  • Add email/webhook notification support
  • Create CLI commands for alert management
  • Add scheduling capabilities

🛠 Implementation Details

  • Storage: Save alert configurations in database
  • Monitoring: Compare new scrapes with previous results
  • Notifications: Email, Slack webhooks, or other integrations
  • Scheduling: Use cron jobs or built-in scheduler

📁 File Structure

alerts/
├── alert_manager.py
├── notification_handlers.py
├── scheduler.py
└── README.md

✅ Acceptance Criteria

  • Users can create and manage job alerts
  • System detects new jobs matching criteria
  • Sends notifications via configured channels
  • CLI integration for alert management

Issue 7: Add Data Export Enhancements

Title: [Feature] Enhanced Data Export Options

Labels: enhancement, hacktoberfest, data-export

Description:

🎯 Objective

Add more export formats and data processing options to JobMiner.

📋 Requirements

  • Add Excel (.xlsx) export support
  • Implement PDF report generation
  • Add data filtering and transformation options
  • Create export templates and customization
  • Add scheduled export functionality

🛠 Implementation Details

  • Excel Export: Use openpyxl or xlsxwriter
  • PDF Reports: Use reportlab or weasyprint
  • Templates: Customizable export formats
  • Filtering: Advanced data filtering before export

✅ Acceptance Criteria

  • Multiple export formats available
  • Customizable export templates
  • CLI integration for export options
  • Scheduled export functionality

Issue 8: Add Job Site Template Generator

Title: [Feature] Interactive Job Site Template Generator

Labels: enhancement, hacktoberfest, developer-tools

Description:

🎯 Objective

Create an interactive tool to help developers generate scraper templates for new job sites.

📋 Requirements

  • Web-based or CLI-based template generator
  • Guide users through scraper creation process
  • Generate boilerplate code with CSS selectors
  • Include testing and validation tools
  • Provide best practices and tips

🛠 Implementation Details

  • Interface: Web form or interactive CLI
  • Code Generation: Template-based code generation
  • Testing: Built-in scraper testing tools
  • Documentation: Auto-generate README files

✅ Acceptance Criteria

  • Interactive template generation
  • Generates working scraper boilerplate
  • Includes testing capabilities
  • User-friendly interface

Issue 9: Add Docker Support

Title: [Feature] Add Docker Support for JobMiner

Labels: enhancement, hacktoberfest, docker, deployment

Description:

🎯 Objective

Create Docker containers for easy JobMiner deployment and development.

📋 Requirements

  • Create Dockerfile for JobMiner
  • Add docker-compose.yml for full stack
  • Include database services (PostgreSQL)
  • Add environment configuration
  • Create deployment documentation

📁 File Structure

docker/
├── Dockerfile
├── docker-compose.yml
├── docker-compose.dev.yml
└── README.md

✅ Acceptance Criteria

  • Docker containers build successfully
  • Full stack deployment with docker-compose
  • Environment configuration support
  • Documentation for Docker deployment

Issue 10: Add API Server

Title: [Feature] Create REST API Server for JobMiner

Labels: enhancement, hacktoberfest, api, backend

Description:

🎯 Objective

Create a REST API server to provide programmatic access to JobMiner functionality.

📋 Requirements

  • Create FastAPI or Flask REST API
  • Implement endpoints for scraping, querying, and analytics
  • Add authentication and rate limiting
  • Include API documentation (Swagger/OpenAPI)
  • Add async job processing

🛠 API Endpoints

  • POST /scrape - Trigger job scraping
  • GET /jobs - Query job listings
  • GET /analytics - Get job analytics
  • POST /alerts - Manage job alerts

✅ Acceptance Criteria

  • REST API with comprehensive endpoints
  • Authentication and security
  • API documentation
  • Async job processing
  • Integration with existing JobMiner components

🏷️ Issue Labels to Create

Create these labels in your GitHub repository:

  • enhancement - New features
  • hacktoberfest - Hacktoberfest eligible
  • scraper - Job site scraper related
  • good first issue - Good for newcomers
  • advanced - Requires advanced skills
  • frontend - Frontend/UI related
  • backend - Backend/API related
  • analytics - Data analytics features
  • automation - Automation features
  • docker - Docker/deployment
  • documentation - Documentation improvements

📝 Usage Instructions

  1. Copy the issue content you want to create
  2. Go to your GitHub repository
  3. Click "Issues" → "New Issue"
  4. Paste the title and description
  5. Add appropriate labels
  6. Assign to milestones if desired
  7. Publish the issue

These issues provide clear guidance for contributors and help grow the JobMiner ecosystem!