Save jobs from the Monster.com search page to Airtable
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How does this automation work?
Streamlining the job search process, Bardeen's playbook for Monster.com allows professionals to quickly gather job listings and organize them efficiently in Airtable. By automating the extraction of job listings directly from Monster.com's search results and saving them into Airtable, users can manage their job search efforts more effectively, making sure they don't miss out on any potential opportunities.
Here's how this workflow saves jobs from Monster.com into Airtable:
- Step 1: Scrape job listings - The Scraper tool will extract job listings from the active tab on Monster.com. You can set the maximum number of job listings to extract based on your needs.
- Step 2: Save to Airtable - The scraped job listings are then automatically added to your Airtable base, allowing for easy access and organization of your job search. Specify the Airtable where you'd like to store this data.
How to run the playbook
Effortlessly streamline your job search process with this solution. By extracting a comprehensive list of jobs directly from your currently opened Monster.com search page, this automation saves you from the manual effort of collecting and organizing job information.
Say goodbye to the frustration of scrolling through numerous job listings and struggling to keep track of potential opportunities. This solution eliminates that pain point by automatically capturing job details and seamlessly saving them to an Airtable. You can easily access and review essential information like job titles, companies, locations, and requirements in one centralized location.
Whether you're actively seeking new employment, researching job prospects, or comparing different career opportunities, this automation simplifies the process. It allows you to efficiently manage your job search, make informed decisions, and stay organized throughout the process. Spend less time searching and more time focusing on pursuing your dream job.
Let’s set it up!
Step 1: Create an Airtable
The first step is to create an Airtable with all the information you want to save for the Monster.com job posts.
Bardeen will get information from the currently opened Monster.com job search page and extract information like position, company name, location, company image, time since posted, and more. It will then save all this information to your Airtable once the setup is complete.
Step 2: Install the extension and map data from the scraper to your Airtable
You will be redirected to install the browser extension when you run it for the first time. Bardeen will also prompt you to integrate Airtable.
Click the “Pin it” button at the top of this page to get this automation saved to your Playbooks. If it’s your first time using Bardeen, you will be redirected to install the extension.
Activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and click on the playbook card. The setup flow will start.
You will be asked to specify a database and the maximum number of job posts to extract. Skip this field if you want to get all the available job posts. After you choose the database and number, you will get a prompt to map the information to the fields in Airtable.
The left side consists of all the fields Bardeen will scrape for you. On the right side, specify the fields in Airtable that you want to associate with the information on the left. If you don’t want a piece of information, leave that field empty, and it will be skipped. That’s it!
Click on “Save Input” and checkmark Airtable. You can edit Inputs later by hovering over the playbook.
Step 3: Run the playbook and save jobs data from the Monster.com search page to Airtabe
Whenever you want to save job posts from a Monster.com search page, complete your search and navigate to the page.
Activate Bardeen (or hit Option + B on Mac or ALT + B on a Windows machine on your keyboard) and run this playbook. It will scrape the number of job posts that you specified and extract all the information from the job posts. It will then save the information to the Airtable that you specified in Step #1.
This automation is fantastic for job seekers. For individuals actively searching for employment opportunities, this automation offers a valuable use case. Job seekers can use the playbook to extract a list of relevant job openings from the Monster.com search page and save the information to an Airtable. This enables them to easily keep track of the jobs they are interested in, compare different positions, and maintain a well-organized record of their applications.
Hiring managers responsible for recruiting and filling job vacancies can also benefit from this automation. They can extract job details from the Monster.com search page and save them to an Airtable, facilitating streamlined candidate evaluation and comparison. This tool helps in maintaining a centralized database of job openings, allowing hiring managers to efficiently track and manage their recruitment efforts.
In addition, career counselors and advisors can leverage this automation to stay updated on the latest job opportunities within specific industries or for their clients. By extracting job listings from Monster.com and saving them to an Airtable, they can curate a resourceful database of relevant jobs. This enables them to provide targeted job recommendations, assist clients in aligning their career goals, and offer valuable insights into the current job market trends.
You can also edit the playbook and add your next action to further customize the automation.
You can also find more about how to increase your personal productivity and automate your data sourcing and research process.
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FAQs
You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.
Unfortunately, Bardeen is not able to download videos to your computer.
Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.
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Please follow the following steps to edit an action in a Playbook or Autobook.
Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.