Save job openings from a LinkedIn company to Notion

Steps:

Bardeen's playbook "Save job openings from a LinkedIn company to Notion" is designed for HR professionals and recruitment teams who are looking to streamline their talent acquisition process. This workflow automatically captures job opening details from a LinkedIn company profile and stores them neatly in your Notion database, allowing you to keep track of potential hiring opportunities efficiently. By automating this task, you can save time, focus on engaging with candidates, and build a robust hiring pipeline.

Here's how you can automate saving LinkedIn job postings to a Notion database:

• Step 1: Scrape LinkedIn company job listings - The Scraper is set to collect job opening links from the specified LinkedIn company profile. It operates in the background to ensure your workflow is uninterrupted.
• Step 2: Extract the first job URL - Bardeen retrieves the first job listing URL from the array of links gathered in the previous step to process individual job postings.
• Step 3: Scrape job details - Using the same Scraper, this step captures detailed information from the job listing URL obtained in Step 2.
• Step 4: Scrape individual job posting - The Scraper extracts specific details from each job posting link, providing structured data for the Notion database.
• Step 5: Create a Notion database entry - The extracted job details are then used to create a new page in your selected Notion database, making the information readily accessible and organized.

The new Bardeen – Find leads no one else does:

With our new Bardeen version, you can easily extract data from any website and discover new leads across the web. After extracting data from a website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.