Documentation Index
Fetch the complete documentation index at: https://mintlify.com/chenyuan99/swelist/llms.txt
Use this file to discover all available pages before exploring further.
Get Your First Results
Let’s get you up and running with swelist. This guide will walk you through the most common use cases.Run swelist with Default Options
The simplest way to use swelist is to run it without any flags. This shows internship positions from the last 24 hours:Sample Output:
Find New-Grad Positions
Looking for full-time new-grad roles instead? Use the This displays new-graduate positions posted in the last 24 hours.Sample Output:
--role flag:Expand Your Time Window
Want to see more opportunities? Expand the time window to see postings from the last week or month:
The
--timeframe flag accepts three values:lastday(24 hours) - defaultlastweek(7 days)lastmonth(30 days)
Common Use Cases
Daily Internship Check
Check for new internship postings every morning:Weekly New-Grad Review
Review all new-grad positions posted this week:Location-Specific Search
Find all internships in California from the last month:Multi-City New-Grad Hunt
Search for new-grad roles in multiple tech hubs:Understanding the Output
Each job posting in the output contains four key pieces of information:- Company: The hiring company’s name
- Title: The job title or role description
- Location: Geographic location(s) of the position
- Link: Direct URL to the application page
Some postings may display both
location (single string) and locations (array of locations) fields depending on the source data format.No Results?
If swelist returns no results, it could mean:- No new postings in the timeframe: Try expanding with
--timeframe lastweekor--timeframe lastmonth - Location too specific: The location string must match part of the job’s location field
- No matches for your criteria: Try removing the location filter or changing the role
Next Steps
Command Reference
Learn about all available commands and options in detail
Filtering Guide
Master location and timeframe filtering