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.
- 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) - Export career profile to HTML (
swelist profile) - AI-powered interview prep via
swelist jobgpt
pip install swelistBasic 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"--role: Choose betweeninternship(default) ornewgradpositions--timeframe: Filter postings by time period:lastday(default),lastweek, orlastmonth--location: Filter locations by giving single location:Canadaor multiple locations"Boston, Toronto, New York"
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
# Generate HTML dashboard
swelist tracker reportExport your career profile to a professional HTML page:
# Generate profile from ~/.claude/profile.md
swelist profile report
# Save to custom location
swelist profile report --output=my-profile.htmlThe HTML file includes:
- Personal info (name, email, LinkedIn, location)
- Career profile (target roles, companies, locations, salary)
- Resume preview
- Integration settings
Perfect for sharing with recruiters, colleagues, or keeping as an offline reference.
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
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
...
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License