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Copy a list of LinkedIn job posts to Coda
Linkedin
Copy a list of LinkedIn job posts to Coda
Copy a list of LinkedIn job posts to Coda
Copy a list of LinkedIn job posts to Coda

Copy a list of LinkedIn job posts to Coda

This Playbook will use deep scarping on a LinkedIn jobs list from the job search page and add them to a Coda table.

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If you're tired of spending hours searching for job listings online and manually entering the data into your database, you're not alone. The good news is that this automation can help. 

By utilizing deep scraping technology, it automatically gathers job listings from your LinkedIn job search page and adds them to a Coda table.

Whether you're a job seeker or a recruiter, this automation is a game-changer. Job seekers can use it to stay organized and keep track of job listings they're interested in, while recruiters can use it to streamline their candidate sourcing process.

Here’s how this automation works.

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Step 1: Create a Coda table

The first step is to set up a Coda table with all the information you want to store from job posts. 

Bardeen will extract information from the job post links like position, description, type, company information and links, hiring person information and more.

Step 2: Install the extension and run the playbook

You will be redirected to install the browser extension when you run it for the first time. Bardeen will also prompt you to integrate Coda.

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.

Click on the playbook card, and the setup flow will start. 

You will be asked to specify your Coda table and the maximum number of items you wish to extract. After you choose the database and maximum number of items, you will get a prompt to map the information to the fields in Coda.

The left side consists of all the fields Bardeen will scrape for you. On the right side, specify the fields in Coda 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 Coda. You can edit Inputs later by hovering over the playbook. 

Step 3: Start saving!

When you want to copy a list of LinkedIn job posts, activate Bardeen (or hit OPTION + B) and run this playbook. It will use deep scraping on a LinkedIn job list from the job search page and add them to a Coda table.

This automation is fantastic for job seekers who can use this automation to stay on top of job opportunities that align with their career goals. By automating the process of adding job listings to a Coda table, job seekers can focus on tailoring their applications and preparing for interviews instead of tedious data entry.

Recruiters can also use this automation to quickly gather relevant job listings and store them in a centralized database. This saves time and effort, allowing recruiters to focus on more important tasks like screening candidates and scheduling interviews.

In addition, hiring managers can use this automation to keep track of job postings and the candidates who have applied for them. By having all the information in one place, hiring managers can easily assess the progress of each job posting and make more informed hiring decisions.

You can also edit the playbook and add your next action to further customize the automation.

Find more Coda integrations, LinkedIn integrations, and Coda and LinkedIn integrations.

You can also find more about how to increase your personal productivity and automate your recruitment process.

Action Flow

Input

When running a Play- or Autobook you'll be asked for following information:

You can also edit the playbook and add your next action to further customize the automation.

Read more about how to connect Coda and .

Discover more website data scraping possibilities with ready to use instant data scrapers, or learn how to scrape website data.

Creator Avatar
Creator
Bardeen
Last update:
December 7, 2023

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