swelist

A CLI tool for job seekers to track tech internships and new-grad positions. Data is sourced from the Summer2025-Internships and New-Grad-Positions repositories.

Features

• Track both internships and new-grad positions
• Filter job postings by time (last day, week, or month)
• Filter job postings by locations
• View company name, job title, location, and application link
• Real-time data from GitHub repositories
• Local SQLite application tracker (swelist tracker)
• AI-powered interview prep via swelist jobgpt

Installation

pip install swelist

Usage

Command Line

Basic usage:

# Show internship positions from last 24 hours (default)
swelist

# Show new-grad positions from last 24 hours
swelist --role newgrad

# Show internship positions from last week
swelist --role internship --timeframe lastweek

# Show internship positions for Toronto
swelist --role internship --location Toronto

# Show new-grad positions for last month for Boston and New York
swelist --role newgrad --timeframe lastmonth --location "Boston, New York"

Options

• --role: Choose between internship (default) or newgrad positions
• --timeframe: Filter postings by time period: lastday (default), lastweek, or lastmonth
• --location: Filter locations by giving single location: Canada or multiple locations "Boston, Toronto, New York"

Application Tracker

Track job applications locally with SQLite — no account required:

# Initialize (once)
swelist tracker init

# Add applications
swelist tracker add "Amazon — SDE, AWS" --status "In progress" --job-id 10414382 --applied-on 2026-05-17

# Update status
swelist tracker update "Amazon — SDE, AWS" --status "Rejected"

# View all
swelist tracker list
swelist tracker list --status "In progress" --company amazon

# Export
swelist tracker export --format json
swelist tracker export --format csv

Agent Integration

swelist can be integrated into AI automation workflows to parse job postings and convert them to structured JSON:

import subprocess
import json

# Get job postings
output = subprocess.run(['swelist', '--role', 'internship'], capture_output=True, text=True)

# Parse into structured JSON
jobs = []
current_job = {}
for line in output.stdout.splitlines():
    if line.startswith("Company:"):
        current_job = {"company": line.split(":", 1)[1].strip()}
    elif line.startswith("Title:"):
        current_job["title"] = line.split(":", 1)[1].strip()
    elif line.startswith("Location:"):
        current_job["location"] = line.split(":", 1)[1].strip()
    elif line.startswith("Link:"):
        current_job["link"] = line.split(":", 1)[1].strip()
        jobs.append(current_job)

print(json.dumps(jobs, indent=2))

This enables use cases like:

• Automated daily job tracking agents
• Integration with AI writing assistants for application workflows
• Real-time job aggregation pipelines

Example Output

Welcome to swelist.com
Last updated: Sun Feb 23 13:03:45 2025
Found 1227 tech internships from 2025Summer-Internships
Found 103 new-grad tech jobs from New-Grad-Positions
Sign-up below to receive updates when new internships/jobs are added

Found 15 postings in the last day:

Company: Example Tech
Title: Software Engineering Intern
Location: New York, NY
Link: https://example.com/apply
...

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License