Smart Apply is your AI assistant that automates the process of applying to jobs directly on company websites.

It uses LLM to analyze websites, understand forms, and automatically:

• Fill out job application forms

• Send emails via Gmail API

1. Ensure you have Python 3.12 installed. If not, download and install it from the official Python website.

2. Install dependencies:

pip install -r requirements.txt

3. Install Camoufox stealth browser:

camoufox fetch

NOTE: Camoufox browser runs insanely slow(resource-heavy) in docker causing timeouts. I tried docker optimization: increasing shared memory(/shm) from default 64MB to 2GB and writing temp files(/tmp) to RAM. Nothing helped.

docker compose build

By the way Chromium is also sluggish in docker, but it more or less works, the other drawback it's detectable by anti-bot protections used on various websites.

1. Create a Google Cloud project https://developers.google.com/workspace/guides/create-project#project

2. Enable Gmail API for this project https://developers.google.com/gmail/api/quickstart/python#enable_the_api

3. Configure the OAuth consent screen https://developers.google.com/gmail/api/quickstart/python#configure_the_oauth_consent_screen

4. Authorize credentials for a desktop application https://developers.google.com/gmail/api/quickstart/python#authorize_credentials_for_a_desktop_application

5. Install the Google client library https://developers.google.com/gmail/api/quickstart/python#install_the_google_client_library

1. Rename .env.example to .env.

2. Configure Azure OpenAI section.

NOTE: Smart Apply uses Azure OpenAI by default, but you can switch to any LLM.

3. Fill in your personal information (name, email, etc.) used during applications.

4. Optional Configure Langfuse for LLM tracing/debugging.

1. Create a urls.txt file containing the URLs of the companies you want to apply to.

2. Create an applicant_message.txt file containing the message you want to send with your applications.

3. Smart Apply can run either locally or with Docker — choose one of the options below.

python main.py

Or

docker compose up -d