Come trovare LAVORO grazie all’intelligenza artificiale

Pietro Fiore

17 Jul 202415:23

Summary

TLDRThis 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.

Outlines

00:00

🚀 Automating Job Search with Apify and Google Docs

The speaker discusses automating the job search process using Apify technology. They explain how to create a resume and a cover letter, download it, convert it into a PDF, and store it in Airtable. The process involves using an Indeed scraper to search for jobs based on specific keywords and location, filtering jobs based on minimum salary, and creating a cover letter tailored to each job description. The automation also includes downloading job data, analyzing job postings, and creating a database in Airtable with job positions, salary, company, location, job description, cover letter in PDF format, and a link for application.

05:01

🔍 Filtering Job Opportunities Based on Salary

This paragraph focuses on filtering job opportunities based on a minimum salary requirement. The speaker describes using OpenAI to analyze job postings and determine if the salary meets the criteria. They also discuss setting up a connection with OpenAI and creating a model to act as an expert analyst. The process involves creating a completion step in OpenAI, adding a user message with the job description, and setting a filter condition based on the salary. The speaker also explains how to create a custom assistant trained on a resume to generate a tailored cover letter and how to create a document in Google Docs with the cover letter content.

10:03

📚 Creating a Database of Job Opportunities

The speaker details the process of creating a database of job opportunities using Table. They explain how to create a new standard table and define the fields of interest such as position, date, salary, company, location, job description, cover letter in PDF format, and a link for application. The speaker also demonstrates how to format the date in the 'Days Month Year' format and how to insert the salary, company name, location, and job description into the database. Additionally, they show how to download a Google Doc as a file, convert it to PDF using CloudConvert or similar tools, and upload the PDF to the database.

15:04

📢 Engaging with the Community for Automation Assistance

In the final paragraph, the speaker invites viewers to engage with the community for assistance with automation. They encourage viewers to comment on the video with any technical doubts or potential errors they might encounter in their automation processes. The speaker also asks viewers to request specific automations that could be useful in their daily activities. Finally, they remind viewers to subscribe to the channel for more content and look forward to the next video.

Mindmap

Keywords

💡Assistant

In the context of the video, an 'Assistant' refers to an AI-powered tool that automates tasks. The script mentions the assistant creating resumes and inserting them into a Google document, which is then converted to PDF and added to a database. This highlights the role of AI in streamlining job application processes.

💡Database

A 'Database' in this script is a system for storing and managing data. The video discusses creating a database with Airtable, where job positions, dates, salaries, company information, job descriptions, and PDF resumes are stored. This is crucial for organizing job search data efficiently.

💡Resume

A 'Resume' is a document that outlines a person's work history, skills, and education. The script describes the assistant creating a resume and formatting it into a PDF, which is then used for job applications. This shows the importance of resumes in the job application process.

💡Job Application

The term 'Job Application' refers to the process of applying for a job. The video script details the steps taken to automate job applications, including searching for jobs, filtering based on criteria, and creating resumes and cover letters, illustrating the comprehensive approach to job seeking.

💡Indeed

Indeed is a job search website mentioned in the script. The assistant uses an 'Indeed Scraper' to search for jobs based on specific keywords and location, highlighting the use of online platforms in job searching and the automation of this process.

💡Automation

In the video, 'Automation' refers to the use of technology to perform tasks without human intervention. The script discusses automating the job search process, including scraping job listings, analyzing job descriptions, and creating application materials, demonstrating the efficiency gains from automation.

💡Airtable

Airtable is a cloud-based platform used for organizing information. The script mentions using Airtable to create a database, which is a key component in managing job search data. This tool is essential for structuring and accessing job application information.

💡Google Document

A 'Google Document' is a web-based tool for creating and editing documents. The script describes using Google Docs to create a cover letter, which is then downloaded and converted to PDF. This illustrates the integration of different tools in the automation workflow.

💡PDF

PDF stands for Portable Document Format, a file format used for documents. The video script frequently mentions converting documents to PDF, which is a standard format for sharing and submitting job application materials, emphasizing the need for standardized document formats in job applications.

💡Salary

The 'Salary' is the fixed regular payment made by an employer to an employee. The script discusses filtering job listings based on a minimum salary, showing how important salary considerations are in the job search process.

💡Job Description

A 'Job Description' is a document that outlines the tasks, responsibilities, and requirements of a job. The script mentions analyzing job descriptions to filter suitable positions and tailor application materials, highlighting the importance of understanding job requirements in the application process.

Highlights

Assistant is creating a resume and inserting it into a Google document.

The document will be downloaded, converted to PDF, and entered into the Airtable database.

The final outcome will be a database with formatted dates, salary information if present, company, location, job description, and a ready-to-download PDF resume.

The process will automate the job search or finding potential clients using Apify technology.

OpenAI will be used to write a cover letter based on the job found and the user's resume.

A database will be created with all necessary information such as position, salary, company, location, job description, and a PDF cover letter.

The automation will start with an Indeed scraper, a program that searches Indeed for jobs based on specific keywords.

The scraper will be triggered by an actor in Apify, set to search for a maximum number of jobs in a selected country.

A connection with Apify is required, and an API token needs to be created and inserted into the scenario.

The first part of the automation involves creating a task in Apify with specific search filters.

The second part of the automation involves downloading the search results, analyzing the job postings, and filtering based on certain characteristics like minimum salary.

OpenAI will be used to analyze job postings and determine if the salary meets a minimum threshold or is not specified.

An assistant trained on the user's resume will create a cover letter tailored to the job description and the user's skills.

A Google document will be created with the cover letter, which will then be downloaded and converted to PDF.

The converted PDF will be used to create a record in the Airtable database with all relevant job information.

The database will include formatted dates, salary, company name, location, job description, PDF cover letter, and a link for application.

The automation will filter and process jobs that meet specific criteria, creating a cover letter and entering the information into the database.

The final database will be a comprehensive resource for job applications, formatted and ready for use.

The process is designed to automate the job search or client acquisition process, saving time and effort.