Web Scraping and AI Integration Developer

Project Overview: We are seeking an experienced freelancer to create a web scraping solution that gathers job links from multiple platforms, including LinkedIn, Glassdoor, and Google Jobs. The solution should use Boolean strings to perform specific search queries and export the data into CSV format. Additionally, we need AI integration that will analyze CVs, suggest similar job titles, and generate tailored cover letters for each job title.

Responsibilities:

Develop a web scraping tool that retrieves job links from LinkedIn, Glassdoor, and Google Jobs using Boolean search strings.
Extract key data such as job title, location (city or country), and relevant information.
Support multiple tasks with different search requests and outputs to CSV files.
Integrate AI to:
Analyze candidate CVs.
Provide similar job title recommendations based on CV content.
Automatically generate personalized cover letters for each suggested job title.
Requirements:

Proven experience in web scraping (using tools like Python, Selenium, BeautifulSoup, etc.).
Familiarity with Boolean search strings for job boards.
Ability to automate the collection of data and handle multiple requests.
Experience with AI integration for CV analysis and content generation.
Deliver outputs in CSV format.
Attention to detail and ability to handle multiple task variations.
Preferred Skills:

Experience in working with LinkedIn, Glassdoor, Google Jobs scraping.
Strong Python, JavaScript, or similar development skills.
Knowledge of AI tools for resume parsing and cover letter generation (e.g., OpenAI API).
Ability to provide efficient, scalable solutions for handling job data.
Deliverables:

A functional web scraping tool that exports job links and details (job title, location, etc.) into CSV.
An integrated AI solution capable of analyzing CVs, suggesting similar job titles, and generating cover letters.