Scraper
Coda
playbook Template

Copy a Google Jobs listing to Coda

This Playbook will save data from a Google Jobs listing to Coda database.

This is a Bardeen playbook. It's a pre-built automation template you can run in one-click to perform a repetitive task. Get started with our free Chrome extension.

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How does this automation work?

Scrape data on active tab
Action
Add data to Coda table
Action

Bardeen's playbook "Copy a Google Jobs listing to Coda" is designed to streamline the process of transferring job postings from Google Jobs into a Coda database. This automation is particularly useful for HR professionals and recruiters seeking to create a curated list of job opportunities, or for those in data sourcing and research who need an organized approach to collect and analyze job market trends.

Here's how this workflow simplifies the process of moving job listings into Coda:

  • Step 1: Scrape Google Jobs Listing - The Scraper integration is used to capture data from the Google Jobs post that's open in your active browser tab. It's configured specifically for Google Jobs listings to ensure all relevant information is collected.
  • Step 2: Merge Job Type - Text fields containing job type details are merged together for a more structured dataset using Bardeen's text manipulation capabilities.
  • Step 3: Merge Job Description - Similarly, job description elements are concatenated to form a coherent data field, ready for transfer to Coda.
  • Step 4: Add to Coda Database - Finally, the scraped and processed job listing data is added to a Coda table specified by you. Coda's platform allows for flexible document and database creation, making it a versatile tool for managing job postings.
Run this Coda automation with Bardeen in minutes.

How to run the playbook

Staying organized is the gateway to landing your dream job. And this automation will help tremendously. It will save any Google Jobs listing to a Coda table. 

Gone are the days of copying and pasting every little piece of information on the page. It’s time to skip all that and focus on what truly matters: finding the right jobs.

Doing this will free you up to search relevant job posts quickly and decide which ones you want to apply to later. You can even create a rating and tracking system in Coda that saves your excitement level for each job post and prioritize those.

Let’s set it up!

Step 1: Set up a Job Tracker in Coda

The first step is to set up a Coda doc and a Coda table for your jobs with the fields you want to save. You can create one from scratch or duplicate our template that we’ve optimized for this use case.

Bardeen will automatically copy the most important information from the web page like position, position details, company, hiring person link to the job post, and more.

Step 2: Configure the automation to copy a Google Jobs listing to Coda

Go to Google Jobs and find a position that you are interested in. 

Now, launch Bardeen (or hit OPTİON + B) and run this playbook. Specify the Coda doc and Coda table that you created in Step #1.

You will also have a prompt to map the fields that Bardeen scraped to your Coda table. Bardeen will try to match the columns automatically, but please double-check them to make sure that they are correct.

Here is what it looks like:

The fields on the left contain data from the job post. The fields on the right are columns that you created in your Coda table. Map the information on the left to your columns. If you want to skip information, leave that field blank. That’s it!

Click on “Remember inputs” and checkmark Coda. You can edit inputs later by hovering over the playbook. 

Now, all you have to do is open Bardeen and run this playbook for every job post you see that catches your eye!

💪 Pro Tip: Pair this automation with our other playbooks like Save a LinkedIn job post to Coda, Copy LinkedIn company data to Coda and Copy LinkedIn profile data to Coda to become a research ninja 🥷

Explore more integration alternatives for Scraper integrations, Coda integrations, or adapt the playbook to better suit your individualized workflow preferences.

Learn more about the awesome personal productivity automation, data-sourcing integrations, and recruiting available.

Run this Coda automation with Bardeen in minutes.

Available actions & triggers

Apps:
Copy a Google Jobs listing to Coda
Copy a Google Jobs listing to Coda
Copy a Google Jobs listing to Coda
Types:
Both
Actions
Triggers
Scrape data from multiple pages
Scrape data from multiple pages
Action
When website data changes
When website data changes
Trigger
Get selected text on current page
Get selected text on current page
Action
Get rows from coda table
Get rows from coda table
Action
Delete Scraper template
Delete Scraper template
Action
Update Scraper template
Update Scraper template
Action
Create Coda doc
Create Coda doc
Action
Scrape data on active tab
Scrape data on active tab
Action
When website data changes (old)
When website data changes (old)
Trigger
Scrape data
Scrape data
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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