Skip to main content

Connecticut Dep. of Labor ReEmployCT Automated Data Entry

Python application Upload Python Package

A Python CLI that automates entry of unemployment benefits data (weekly work search and certification) into Connecticut's DOL ReEmployCT portal. (More information on ReEmployCT)

Weekly job application data from an Excel file that the user actively maintains is accessed and automatically entered into ReEmployCT through a web browser instance controlled by Selenium. The program automates as much of the process as possible, such as login, data entry, page navigation, and secure user credential handling. The user will only need to interact for data entry review/confirmation and for captchas that need to be solved. Once the user finishes any required interaction then the program automatically takes back control. The program will walk you through setting everything up to get you on your way.

Disclaimer:

Users of this project are solely responsible for its use. The author assumes no liability for user actions or outcomes resulting from the use of ReEmployCT, including any automated interactions. Users are required to always exercise caution and review any data that is entered into ReEmployCT.

It is important to note that this project locally handles the user credentials of their ReEmployCT account for convenience. While these credentials are encrypted for security purposes, it is crucial to understand the potential risks associated with the storage of encrypted credentials and the plain-text storage of the encryption key. The author disclaims any responsibility for the security of user credentials and advises users to assess and manage the associated risks accordingly.

Requirements

  • Firefox
  • Excel
  • Python 3.10.10 or higher. (only tested on 3.10.10)
  • User job application data must only include U.S. addresses (ReEmployCT requirement)
  • Minimum of 3 work searches (job applications) per week (ReEmployCT requirement)
  • Currently only job applications are supported by this program as data entries into ReEmployCT from the Excel file. (Job applications are defined as "employer contacts" by CT DOL). In other words, a valid work search such as a job fair attendance can not be entered by this program and instead would need to be entered into ReEmployCT manually.

How to use

Video Tutorial

Automated Connecticut Weekly Unemployment Benefits

Install

pip install reemployct-data-entry

Magic quick start command!

jobentry

Run this command every time you want to run the program. If this doesn't work, continue with the manual steps below.

Manual startup

You first need to get your copy of the Excel file that the program knows how to read job application data from:
python
from reemployct_data_entry import entry

This will import the module you'll use to run the program, but also provide you with the path to the provided Excel template. Make a copy of workSearch_template.xlsx, save it wherever (and rename it whatever) you want. Open your copy, remove the row that contains the example job application, and start adding your own data (in the same format as the example row).

Tip: You can use CTRL + ; on a cell in Excel to enter the current date. The format is MM/DD/YYYY which is what the program expects.

Run

You can either run from the CLI with:

entry.main()

Or simply click entry.py to run it.

User Credentials

To make the entire process streamlined, you can save your ReEmployCT login credentials when prompted by the CLI. Your credentials are encrypted and stored locally in the project folder in `credFile.ini` (only the username is left as plaintext). The encryption key is stored in `key.key`. You also have the option when saving your credentials to set an expiry time so that you will need to save a new set of credentials on a certain date.

Resetting saved credentials

  1. Delete credFile.ini from the project folder
  2. You will be prompted for new credentials when you run entry.main()

Links

PyPI

Metadata

Release files for reemployct-data-entry 2.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for reemployct-data-entry 2.1.2
File Size Uploaded
reemployct_data_entry-2.1.2.tar.gz 42.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for reemployct-data-entry 2.1.2
File Interpreter ABI Platform
reemployct_data_entry-2.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 89.5 kB

Release files / reemployct_data_entry-2.1.2.tar.gz

Download URL reemployct_data_entry-2.1.2.tar.gz
Size 42.7 kB
Tags Source
SHA-256 checksum
How to use checksums
79c27dff9812a8fc921419d2ddf9340a0824b4ce17297560a00b9cbd0ba19fd3
BLAKE2b-256 checksum
How to use checksums
f32782475e3d362cf24ca898db309308bc785b0959294f06f94ba25913d123e2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.20

Release files / reemployct_data_entry-2.1.2-py3-none-any.whl

Download URL reemployct_data_entry-2.1.2-py3-none-any.whl
Size 46.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
59c912f8aeda2bc1c2c16f05fab32ad61a9dbddc216b0d95fff361533079ba74
BLAKE2b-256 checksum
How to use checksums
549a7a90a08e284588a567fc9ad0534d0fceedf90b6d7942ff1ab7df4093de56
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.20

Release history Release notifications | RSS feed

This release

2.1.2 This release

2 release files

2.1.1

2 release files

2.1.0

2 release files

2.0.9

2 release files

2.0.8

2 release files

2.0.7

2 release files

2.0.6

2 release files

2.0.5

2 release files

2.0.4

2 release files

2.0.3

2 release files

2.0.2

2 release files

2.0.1

2 release files

2.0.0

2 release files

1.2.3

2 release files

1.2.2

2 release files

1.2.0

2 release files

1.1.13

2 release files

1.1.12

2 release files

1.1.11

2 release files

1.1.10

2 release files

1.1.9

2 release files

1.1.7

2 release files

1.1.6

2 release files

1.1.5

2 release files

1.1.4

2 release files

1.1.2

2 release files

1.1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page