Come trovare LAVORO grazie all’intelligenza artificiale

Summary

This video script outlines a process for automating job applications using Apify technology. It involves creating a scraper to search for jobs on Indeed, filtering based on specific criteria, and using an AI assistant to generate tailored cover letters. The script details the steps to download job data, analyze job postings, filter by salary, and create a database in Airtable with formatted job positions, salaries, company information, and PDF cover letters ready for application. The goal is to streamline the job search or client acquisition for freelancers or agencies.

Takeaways

• 😀 The assistant is creating a resume and inserting a cover letter into a Google document, which will be downloaded, converted to PDF, and added to an Airtable database.
• 🔍 The final database will have formatted data including position, date, salary (if available), company, location, job description, and a PDF cover letter ready for download and submission as an application.
• 📚 The process involves automating the job search or finding potential clients using Apify technology to search for jobs with specific characteristics.
• 🔎 The script describes using an Indeed scraper to search for jobs based on keywords in a selected country and a maximum number of jobs to search.
• 🖥️ The first part of the automation involves setting up an Apify actor, specifically the Indeed scraper, and configuring it with search filters such as maximum job postings and keywords.
• 🔗 The second part of the automation involves downloading the search results, analyzing the job postings, and filtering them based on certain characteristics like a minimum salary.
• 💼 The script mentions using an OpenAI model trained on a resume to create a personalized cover letter based on the job found and the user's resume.
• 📋 The cover letter is created in a Google Doc, downloaded, converted to PDF, and added to the Airtable database with all the relevant job information.
• 📈 The script provides a step-by-step guide on setting up the automation, including creating tasks in Apify, selecting actors, and configuring triggers.
• 📝 The process also includes creating a database in Airtable with fields for position, date, salary, company, location, job description, cover letter in PDF format, and a link for applying.
• 🚀 The script concludes by demonstrating how the automation can be used to find new jobs or potential clients, and encourages viewers to ask for help or request specific automations in the comments.

Q & A

What is the purpose of the automation described in the script?

The purpose of the automation is to streamline the job search process by finding jobs based on specific criteria, creating a cover letter based on the job description and the user's resume, and compiling all relevant information into a database.

What technology is used to automate the job search process?

The technology used is Apify, which utilizes a scraper to search for jobs on Indeed based on specific keywords and filters.

How does the automation process handle job listings that do not specify a salary?

The automation process filters out job listings that do not meet certain criteria, such as a minimum salary. If a salary is not specified, it is marked as 'not present' in the database.

What is the role of the OpenAI assistant in this automation?

The OpenAI assistant is trained to analyze job descriptions and create personalized cover letters based on the user's resume and the job requirements.

How is the cover letter created and formatted for use in the job application?

The cover letter is created by the OpenAI assistant based on the job description and the user's resume. It is then saved as a Google Doc, downloaded, converted to a PDF, and added to the database.

What information is included in the database created by the automation?

The database includes the job position, date (formatted as Day Month Year), salary (if present), company name, location, job description, a PDF of the cover letter, and a link for applying to the job.

How does the automation ensure that only relevant job listings are considered?

The automation uses filters to search for jobs based on specific keywords and criteria, such as a minimum salary, and excludes listings that do not meet these criteria.

What is the trigger for the first part of the automation process?

The trigger for the first part of the automation process is the initiation of the Indeed scraper actor in Apify, which starts the job search based on the predefined filters.

How is the data from the job search analyzed and filtered in the second part of the automation?

The data from the job search is downloaded and analyzed using OpenAI's completion feature to filter out jobs based on specific characteristics, such as a minimum salary.

What is the final output of the automation process?

The final output is a database in Airtable with all the job listings that meet the specified criteria, complete with formatted dates, salary information, company details, job descriptions, cover letters in PDF format, and application links.