Creator feder-cr, Co-Founder of Ai Hawk As AI Hawk is focusing on their proprietary product - solving problems in hiring for companies, currently this project is led, managed, and maintained by a group of open-source contributors, with a focus on building tools to help job seekers land the jobs they deserve.
Project Maintainers / Leads: surapuramakhil, sarob, cjbbb
We are looking to expand our FOSS maintainers team! If you are from a non-technical background, you can be part of the project management team, triaging issues, and shaping the project. If you are a technical person, you can join in doing code reviews, participating in releases, and buidling better version of this product.
reach out to surapuramakhil on Discord. Special thanks
Auto_Jobs_Applier_AIHawk is continuously evolving, and your feedback, suggestions, and contributions are highly valued. Feel free to open issues, suggest enhancements, or submit pull requests to help improve the project. Let's work together to make Auto_Jobs_Applier_AIHawk a powerful tool for job seekers worldwide.
Auto_Jobs_Applier_AIHawk is a cutting-edge, automated tool designed to revolutionize the job search and application process. In today's fiercely competitive job market, where opportunities can vanish in the blink of an eye, this program offers job seekers a significant advantage. By leveraging the power of automation and artificial intelligence, Auto_Jobs_Applier_AIHawk enables users to apply to a vast number of relevant positions efficiently and in a personalized manner, maximizing their chances of landing their dream job.
In the digital age, the job search landscape has undergone a dramatic transformation. While online platforms have opened up a world of opportunities, they have also intensified competition. Job seekers often find themselves spending countless hours scrolling through listings, tailoring applications, and repetitively filling out forms. This process can be not only time-consuming but also emotionally draining, leading to job search fatigue and missed opportunities.
Auto_Jobs_Applier_AIHawk steps in as a game-changing solution to these challenges. It's not just a tool; it's your tireless, 24/7 job search partner. By automating the most time-consuming aspects of the job search process, it allows you to focus on what truly matters - preparing for interviews and developing your professional skills.
Intelligent Job Search Automation
Rapid and Efficient Application Submission
AI-Powered Personalization
Volume Management with Quality
Intelligent Filtering and Blacklisting
Dynamic Resume Generation
Secure Data Handling
Confirmed successful runs on the following:
Download and Install Python:
Ensure you have the last Python version installed. If not, download and install it from Python's official website. For detailed instructions, refer to the tutorials:
Download and Install Google Chrome:
Clone the repository:
git clone https://github.com/feder-cr/Auto_Jobs_Applier_AIHawk.git
cd Auto_Jobs_Applier_AIHawk
Activate virtual environment:
python3 -m venv virtual
source virtual/bin/activate
or for Windows-based machines -
.\virtual\Scripts\activate
Install the required packages:
pip install -r requirements.txt
This file contains sensitive information. Never share or commit this file to version control.
llm_api_key: [Your OpenAI or Ollama API key or Gemini API key]
Free
account type. This prevents them from having unlimited access to OpenAI models and allows only 200 requests per day. This might cause runtime errors such as:Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. ...}}
{'error': {'message': 'Rate limit reached for gpt-4o-mini in organization <org> on requests per day (RPD): Limit 200, Used 200, Requested 1.}}
This file defines your job search parameters and bot behavior. Each section contains options that you can customize:
remote: [true/false]
true
to include remote jobs, false
to exclude themhybrid: [true/false]
true
to include remote jobs, false
to exclude themonsite: [true/false]
true
to include remote jobs, false
to exclude themexperienceLevel:
true
, others to false
jobTypes:
true
, others to false
date:
true
, others to false
positions:
positions:
- Software Developer
- Data Scientist
locations:
locations:
- Italy
- London
apply_once_at_company: [True/False]
True
to apply only once per company, False
to allow multiple applications per companydistance: [number]
distance: 50
companyBlacklist:
companyBlacklist:
- Company X
- Company Y
titleBlacklist:
titleBlacklist:
- Sales
- Marketing
llm_model_type
:
llm_model
:
llm_api_url
:
This file contains your resume information in a structured format. Fill it out with your personal details, education, work experience, and skills. This information is used to auto-fill application forms and generate customized resumes.
Each section has specific fields to fill out:
personal_information:
personal_information:
name: "Jane"
surname: "Doe"
date_of_birth: "01/01/1990"
country: "USA"
city: "New York"
address: "123 Main St"
zip_code: "520123"
phone_prefix: "+1"
phone: "5551234567"
email: "jane.doe@example.com"
github: "https://github.com/janedoe"
linkedin: "https://www.linkedin.com/in/janedoe/"
education_details:
This section outlines your academic background, including degrees earned and relevant coursework.
degree: The type of degree obtained (e.g., Bachelor's Degree, Master's Degree).
university: The name of the university or institution where you studied.
final_evaluation_grade: Your Grade Point Average or equivalent measure of academic performance.
start_date: The start year of your studies.
graduation_year: The year you graduated.
field_of_study: The major or focus area of your studies.
exam: A list of courses or subjects taken along with their respective grades.
Example:
education_details:
- education_level: "Bachelor's Degree"
institution: "University of Example"
field_of_study: "Software Engineering"
final_evaluation_grade: "4/4"
start_date: "2021"
year_of_completion: "2023"
exam:
Algorithms: "A"
Data Structures: "B+"
Database Systems: "A"
Operating Systems: "A-"
Web Development: "B"
experience_details:
This section details your work experience, including job roles, companies, and key responsibilities.
position: Your job title or role.
company: The name of the company or organization where you worked.
employment_period: The timeframe during which you were employed in the role, using the format MM/YYYY - MM/YYYY.
location: The city and country where the company is located.
industry: The industry or field in which the company operates.
key_responsibilities: A list of major responsibilities or duties you had in the role, e.g. responsibility: "Developed web applications using React and Node.js".
skills_acquired: Skills or expertise gained through this role, e.g. "React".
Example:
experience_details:
- position: "Software Developer"
company: "Tech Innovations Inc."
employment_period: "06/2021 - Present"
location: "San Francisco, CA"
industry: "Technology"
key_responsibilities:
- responsibility: "Developed web applications using React and Node.js"
- responsibility: "Collaborated with cross-functional teams to design and implement new features"
- responsibility: "Troubleshot and resolved complex software issues"
skills_acquired:
- "React"
- "Node.js"
- "Software Troubleshooting"
projects:
Include notable projects you have worked on, including personal or professional projects.
name: The name or title of the project.
description: A brief summary of what the project involves or its purpose.
link: URL to the project, if available (e.g., GitHub repository, website).
Example:
projects:
- name: "Weather App"
description: "A web application that provides real-time weather information using a third-party API."
link: "https://github.com/janedoe/weather-app"
- name: "Task Manager"
description: "A task management tool with features for tracking and prioritizing tasks."
link: "https://github.com/janedoe/task-manager"
achievements:
Highlight notable accomplishments or awards you have received.
name: The title or name of the achievement.
description: A brief explanation of the achievement and its significance.
Example:
achievements:
- name: "Employee of the Month"
description: "Recognized for exceptional performance and contributions to the team."
- name: "Hackathon Winner"
description: "Won first place in a national hackathon competition."
certifications:
Include any professional certifications you have earned.
name: "PMP"
description: "Certification for project management professionals, issued by the Project Management Institute (PMI)"
Example:
certifications:
- "Certified Scrum Master"
- "AWS Certified Solutions Architect"
languages:
Detail the languages you speak and your proficiency level in each.
language: The name of the language.
proficiency: Your level of proficiency (e.g., Native, Fluent, Intermediate).
Example:
languages:
- language: "English"
proficiency: "Fluent"
- language: "Spanish"
proficiency: "Intermediate"
interests:
Mention your professional or personal interests that may be relevant to your career.
interest: A list of interests or hobbies.
Example:
interests:
- "Machine Learning"
- "Cybersecurity"
- "Open Source Projects"
- "Digital Marketing"
- "Entrepreneurship"
availability:
State your current availability or notice period.
notice_period: The amount of time required before you can start a new role (e.g., "2 weeks", "1 month").
Example:
availability:
notice_period: "2 weeks"
salary_expectations:
Provide your expected salary range.
salary_range_usd: The salary range you are expecting, expressed in USD.
Example:
salary_expectations:
salary_range_usd: "80000 - 100000"
self_identification:
Provide information related to personal identity, including gender and pronouns.
gender: Your gender identity.
pronouns: The pronouns you use (e.g., He/Him, She/Her, They/Them).
veteran: Your status as a veteran (e.g., Yes, No).
disability: Whether you have a disability (e.g., Yes, No).
ethnicity: Your ethnicity.
Example:
self_identification:
gender: "Female"
pronouns: "She/Her"
veteran: "No"
disability: "No"
ethnicity: "Asian"
legal_authorization:
Indicate your legal ability to work in various locations.
eu_work_authorization: Whether you are authorized to work in the European Union (Yes/No).
us_work_authorization: Whether you are authorized to work in the United States (Yes/No).
requires_us_visa: Whether you require a visa to work in the United States (Yes/No).
requires_us_sponsorship: Whether you require sponsorship to work in the United States (Yes/No).
requires_eu_visa: Whether you require a visa to work in the European Union (Yes/No).
legally_allowed_to_work_in_eu: Whether you are legally allowed to work in the European Union (Yes/No).
legally_allowed_to_work_in_us: Whether you are legally allowed to work in the United States (Yes/No).
requires_eu_sponsorship: Whether you require sponsorship to work in the European Union (Yes/No).
canada_work_authorization: Whether you are authorized to work in Canada (Yes/No).
requires_canada_visa: Whether you require a visa to work in Canada (Yes/No).
legally_allowed_to_work_in_canada: Whether you are legally allowed to work in Canada (Yes/No).
requires_canada_sponsorship: Whether you require sponsorship to work in Canada (Yes/No).
uk_work_authorization: Whether you are authorized to work in the United Kingdom (Yes/No).
requires_uk_visa: Whether you require a visa to work in the United Kingdom (Yes/No).
legally_allowed_to_work_in_uk: Whether you are legally allowed to work in the United Kingdom (Yes/No).
requires_uk_sponsorship: Whether you require sponsorship to work in the United Kingdom (Yes/No).
Example:
legal_authorization:
eu_work_authorization: "Yes"
us_work_authorization: "Yes"
requires_us_visa: "No"
requires_us_sponsorship: "Yes"
requires_eu_visa: "No"
legally_allowed_to_work_in_eu: "Yes"
legally_allowed_to_work_in_us: "Yes"
requires_eu_sponsorship: "No"
canada_work_authorization: "Yes"
requires_canada_visa: "No"
legally_allowed_to_work_in_canada: "Yes"
requires_canada_sponsorship: "No"
uk_work_authorization: "Yes"
requires_uk_visa: "No"
legally_allowed_to_work_in_uk: "Yes"
requires_uk_sponsorship: "No"
work_preferences:
Specify your preferences for work arrangements and conditions.
remote_work: Whether you are open to remote work (Yes/No).
in_person_work: Whether you are open to in-person work (Yes/No).
open_to_relocation: Whether you are willing to relocate for a job (Yes/No).
willing_to_complete_assessments: Whether you are willing to complete job assessments (Yes/No).
willing_to_undergo_drug_tests: Whether you are willing to undergo drug testing (Yes/No).
willing_to_undergo_background_checks: Whether you are willing to undergo background checks (Yes/No).
Example:
work_preferences:
remote_work: "Yes"
in_person_work: "No"
open_to_relocation: "Yes"
willing_to_complete_assessments: "Yes"
willing_to_undergo_drug_tests: "No"
willing_to_undergo_background_checks: "Yes"
The data_folder_example
folder contains a working example of how the files necessary for the bot's operation should be structured and filled out. This folder serves as a practical reference to help you correctly set up your work environment for the job search bot.
Inside this folder, you'll find example versions of the key files:
secrets.yaml
config.yaml
plain_text_resume.yaml
These files are already populated with fictitious but realistic data. They show you the correct format and type of information to enter in each file.
Using this folder as a guide can be particularly helpful for:
Account language To ensure the bot works, your account language must be set to English.
Data Folder: Ensure that your data_folder contains the following files:
secrets.yaml
config.yaml
plain_text_resume.yaml
Output Folder: Contains the output of the bot.
data.json
results of the --collect modefailed.json
failed applicationsopen_ai_calls.json
all the calls made to the LLM modelskipped.json
applications that were skippedsuccess.json
successful applicationsNote: answers.json
is not part of the output folder and can be found in the root of the project. It is used to store the answers of the questions asked to the user. Can be used to update the bot with corrected answers. Search for Select an option
, 0
, Authorized
, and how many years of
to verify correct answers.
Run the Bot:
Auto_Jobs_Applier_AIHawk offers flexibility in how it handles your pdf resume:
Dynamic Resume Generation:
If you don't use the --resume
option, the bot will automatically generate a unique resume for each application. This feature uses the information from your plain_text_resume.yaml
file and tailors it to each specific job application, potentially increasing your chances of success by customizing your resume for each position.
python main.py
Using a Specific Resume:
If you want to use a specific PDF resume for all applications, place your resume PDF in the data_folder
directory and run the bot with the --resume
option:
python main.py --resume /path/to/your/resume.pdf
Using the colled mode:
If you want to collect job data only to perform any type of data analytics you can use the bot with the --collect
option. This will store in output/data.json file all data found from linkedin jobs offers.
python main.py --collect
Error Message:
openai.RateLimitError: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}}
Solution:
Error Message:
Exception: No clickable 'Easy Apply' button found
Solution:
config.yaml
file are correct and returning jobs with the "Easy Apply" buttonIssue: Bot provides inaccurate data for experience, CTC, and notice period
Solution:
config.yaml
for current CTC, expected CTC, and notice periodError Message:
yaml.scanner.ScannerError: while scanning a simple key
Solution:
config.yaml
and modify graduallyIssue: Bot searches for jobs but continues scrolling without applying
Solution:
config.yaml
job search parametersFor further assistance, please create an issue on the GitHub repository with detailed information about your problem, including error messages and your configuration (with sensitive information removed).
Ollama & Gemini Setup
Editing YAML Files
Auto-start AIHawk
Video Tutorial
If you encounter any issues, you can open an issue on GitHub.
Please add valuable details to the subject and to the description. If you need new feature then please reflect this.
I'll be more than happy to assist you!
Note for Contributors: If you would like to submit a Pull Request (PR), please target the release
branch instead of main
. The release
branch is used for testing new code changes and will be periodically merged into main
after validation. This approach ensures that only tested features make it into the main branch.
Auto_Jobs_Applier_AIHawk provides a significant advantage in the modern job market by automating and enhancing the job application process. With features like dynamic resume generation and AI-powered personalization, it offers unparalleled flexibility and efficiency. Whether you're a job seeker aiming to maximize your chances of landing a job, a recruiter looking to streamline application submissions, or a career advisor seeking to offer better services, Auto_Jobs_Applier_AIHawk is an invaluable resource. By leveraging cutting-edge automation and artificial intelligence, this tool not only saves time but also significantly increases the effectiveness and quality of job applications in today's competitive landscape.
If you like the project please star ⭐ the repository!
Made with contrib.rocks.
This project is licensed under the MIT + Commons Clause License - see the LICENSE file for details.
This tool, Auto_Jobs_Applier_AIHawk, is intended for use at your own risk. The creators / maintainers / contributors assume no responsibility for any consequences arising from its use. Users are advised to comply with the terms of service of relevant platforms and adhere to all applicable laws, regulations, and ethical guidelines. The use of automated tools for job applications may carry risks, including potential impacts on user accounts. Proceed with caution and at your own discretion.