Amazon Warehouse ULTRA PRO MAX Auto Apply Bot

Ultra-fast Amazon job application automation with quantum-level performance

As of June 2026, Amazon Warehouse ULTRA PRO MAX Auto Apply Bot has 119 users and a 3.00/5 rating from 4 reviews in the Accessibility category.

Accessibility

Chrome Web Store ↗.crx

Users+41.7%

119

Rating0%

3.00

4 reviews

Reviews+100.0%

Version

1.0.2

Manifest V3

History

5 snapshots

Tracking since Apr 19, 2026.

View as table

Date	Users	Rating	Reviews	Version
Apr 19, 2026	84	3.00	2	1.0.2
May 4, 2026	97	3.67	3	1.0.2
May 13, 2026	115	3.00	4	1.0.2
May 25, 2026	130	3.00	4	1.0.2
Jun 7, 2026	138	3.00	4	1.0.2
Now	119	3.00	4	1.0.2

Permissions & access

Permissions: webRequeststoragescriptingactiveTabdownloadsnotificationsalarmstabs
Host access: https://auth.hiring.amazon.com/*, https://auth.hiring.amazon.ca/*, https://hiring.amazon.ca/*, https://dataplane.rum.us-east-1.amazonaws.ca/*, https://hiring.amazon.com/*, https://dataplane.rum.us-east-1.amazonaws.com/*, https://aws-api.vatsalgajjar.site/*

Screenshots

Amazon Warehouse ULTRA PRO MAX Auto Apply Bot screenshot 1

About

This Chrome extension is designed to assist users in navigating the Amazon warehouse job portal more efficiently.

It provides a faster way to check job availability and interact with the application process. The extension helps users:

Monitor the Amazon warehouse jobs page for new listings

Open job details and pre-fill basic application steps like selecting a shift

Click the “Apply” button to express interest quickly

This tool is intended to improve accessibility and reduce friction for users actively seeking warehouse roles. It runs only when the user visits the Amazon hiring site and does not store or transmit any personal data.

✅ No background tracking
✅ No third-party data collection
✅ Works only on the Amazon job portal when manually logged in

⚠️ This extension does not bypass or modify any part of the official Amazon application process. It merely assists in navigating the page faster after a user is logged in.