LinkedIn
Coda
Workflow Template

Save LinkedIn jobs based on keyword and location to Coda

This Playbook will retrieve a list of jobs from LinkedIn based on the keyword and location you provide. It will then automatically save the results to a Coda table.
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Merge text
Action
Scrape data in the background
Action
Add data to Coda table
Action

How does this automation work?

Bardeen's automation simplifies the job search process by integrating LinkedIn's job listings with Coda's organizational capabilities. The playbook uses keywords and location to fetch relevant job opportunities from LinkedIn and directly saves them into a Coda table, ensuring that job seekers and recruiters can manage their prospects efficiently and effectively.

Here's how this workflow saves LinkedIn jobs based on keyword and location to Coda:

  • Step 1: Merge Search URL - Bardeen starts by creating a LinkedIn job search URL using the specified keyword. This URL will direct us to the job listings page.
  • Step 2: Scrape LinkedIn Job Posts - Using Scraper, Bardeen retrieves job posts from LinkedIn in the background. The Scraper is configured to extract a list of job links using the previously merged search URL.
  • Step 3: Save to Coda Table - Finally, the scraped job information is added to a designated Coda table. Coda allows for a flexible and collaborative way to organize job search efforts and track progress.
Run this Coda automation with Bardeen in minutes.

How to run the workflow

Are you looking to streamline your job search? This automation has got your back! By simply providing the desired keyword and location, you can effortlessly tap into a curated list of job opportunities from LinkedIn. It also seamlessly saves the results directly to a Coda table.

Say goodbye to the frustration of manually browsing through countless job postings or struggling to keep track of promising opportunities. With this automation, you can streamline your job search process and stay organized in one centralized location.

Job seekers can easily review, filter, and sort through relevant job listings in their personalized Coda table, making it a breeze to stay on top of their game. No more missing out on potential dream roles or wasting time on repetitive searches.

Recruiters and talent acquisition professionals will also find immense value in this automation. They can quickly gather a targeted list of job postings for specific roles and industries, empowering them to streamline candidate sourcing and talent mapping efforts.

It's time to level up your job search game with ease and efficiency.

Let’s set it up!

Please be aware that the excessive or abusive use of extensions, bots, or automation tools on some websites can lead to penalties, including temporary or even permanent restrictions on your account. We recommend you read and adhere to the specific terms of the websites you are visiting and using to avoid any disruptions or issues. We do not assume any responsibility for the consequences of abuse.

Step 1: Create a Coda table

The first step is to create a Coda table with all the information you want to save.

Bardeen will extract job posts from LinkedIn based on the keyword and location that you specify. It will get information like position, company, details, date and link to the job post. The automation will then save all the information to your Coda table, once the setup is complete.

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.

Click on the playbook card, and the setup flow will start. Bardeen will prompt you to enter a keyword and location for your job search. 

It will also ask you to specify a Coda table. After you choose the database, 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, your location and your keyword. This will save you time from setup in the future. You can edit Inputs later by hovering over the playbook. 

Step 3: Start saving!

To get a list of relevant job posts, activate Bardeen (Press Option + B on Mac or Alt + B on a Windows machine) and run this playbook. It will get LinkedIn job information in the background and save the results to your Coda table.

This automation is fantastic if you are an individual searching for employment opportunities, this automation simplifies the process by retrieving a curated list of jobs from LinkedIn based on specific keywords and location preferences. It saves time and effort by eliminating the need to manually search and browse through numerous listings. Users can easily review and track relevant job postings in Coda, making it convenient to stay organized and focused on pursuing suitable career opportunities.

This automation is also valuable for recruiters and hiring managers who want to efficiently source and track potential candidates. By specifying relevant keywords and location, recruiters can retrieve a targeted list of job postings. They can save these results to Coda, allowing for easy collaboration, tracking, and follow-up with promising candidates. The automation streamlines the initial stages of candidate sourcing, enabling recruiters to allocate more time to evaluating and engaging with qualified applicants.

Companies and organizations can leverage this automation to conduct market research and talent mapping too. By specifying specific keywords and locations, they can retrieve job postings related to specific industries or skill sets. This information can be useful for analyzing market trends, identifying competitors, and gaining insights into talent availability and demand. The automation allows for the systematic collection and analysis of job data, aiding in strategic decision-making and resource allocation.

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

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

You can also find more about how to increase your personal productivity, automate your manual recruiting works and streamline your data sourcing and research process.

Run this Coda automation with Bardeen in minutes.

Available actions & triggers

Apps:
Save LinkedIn jobs based on keyword and location to Coda
Save LinkedIn jobs based on keyword and location to Coda
Save LinkedIn jobs based on keyword and location to Coda
Types:
Both
Actions
Triggers
Find Coda tables
Find Coda tables
Action
Add data to Coda table
Add data to Coda table
Action
Get rows from coda table
Get rows from coda table
Action
Create Coda doc
Create Coda doc
Action
Delete rows in Coda document
Delete rows in Coda document
Action
Find Coda docs
Find Coda docs
Action
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FAQs

Bardeen - Playbook / Autobooks: Is it possible to create a Playbook that scrapes data from a website and sends it as an email attachment?

You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.

Youtube: Can I download a Youtube video to my computer using Bardeen?

Unfortunately, Bardeen is not able to download videos to your computer.

Google Sheets: What is the best way to export data to Google Sheets?

Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.

Meetings: Is there a playbook to record and summarize meetings?

There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment

Playbooks/Autobooks: How do I edit an action in a Playbook or Autobook?

Please follow the following steps to edit an action in a Playbook or Autobook.

Scraper: How can I get data from multiple sections of a profile (Eg: getting the experience section on a linkedin profile)?

Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.

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