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How to Scrape Open Job Postings from LinkedIn and Identify Decision Makers

Step-by-Step Guide to Scraping LinkedIn for Open Job Postings and Key Decision Makers

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by Jan

Tired of spending countless hours scanning job boards? With Databar, you can easily scrape open job postings from LinkedIn and identify key decision-makers within target companies. This guide will walk you through the process step-by-step, helping you save time and find the right opportunities including contact information faster than ever.

Why This Matters

Before we dive in, let's quickly highlight why this process is so valuable:

  • Time Savings: Automate hours of manual searching and data gathering.
  • Targeted Outreach: Identify the right decision-makers for more effective outreach, networking or recruiting.
  • Comprehensive Data: Gather detailed company information alongside job postings for a fuller picture.
  • Scalability: Apply this process to hundreds or thousands of job postings and companies simultaneously.

Now, let's get started!

Step 1: Search LinkedIn Job Boards

First, we'll use Databar to search LinkedIn job boards based on specific keywords and locations.

  1. Open Databar and navigate to the search bar at the top of the page.
     
  2. Select "LinkedIn jobs search by keyword and location".
    LinkedIn jobs scraper
     
  3. You'll now see the search options for the job search. 
    Apply these filters to refine your search:
  • Job field (e.g., "software engineer")
  • Location (e.g., "New York")
  • Number of jobs to retrieve (e.g., "50")
    LinkedIn Job Scraper Criteria

Click "Run Search", and within seconds, you'll have a list of targeted open job positions.
Run query
 

Step 2: Enrich Company Data

Now that we have our job listings, let's gather more information about the companies posting these open positions.

  1. Click the "Enrich" button in Databar.
    Enrich

     
  2. Search for and select the "LinkedIn company profile scraper" enrichment.
    LinkedIn company profile scraper

     
  3. Map the LinkedIn Company profile ID column.
    Map company profile ID

     
  4. Select the additional columns you want to add to your table (e.g., company size, website and LinkedIn company ID).
    Columns to be added

     
  5. Add the enrichment to your table.
    Add enrichments to table

     
  6. Run the enrichment for selected or all rows simultaneously.
    Run LinkedIn company profile scraper

After this step, you'll have a comprehensive list of job postings with detailed company information.

Step 3: Identify Decision Makers

This step is about finding the right decision-makers within these target companies.

  1. Click the "Enrich" button again.
    Enrich button

     
  2. Search for and select the "Search for professionals on LinkedIn" enrichment.
    Search for professionals LinkedIn

     
  3. Use the job title filter to narrow down your results. Focus on titles like:
    • C-suite executives (CEO, CTO, CMO, CFO)
    • Director of (department)
    • Head of (department)
       
  4. Map the LinkedIn company ID column.
    Map Company LinkedIn ID

     
  5. Select the columns you want to add (e.g., name, title, LinkedIn profile URL).
    Select Columns

     
  6. Add the enrichment to your table.
    Save button

     
  7. Run the enrichment for all rows.
    Run enrichment Search professionals LinkedIn

     

Step 4: Fetch Prospects' Email Addresses

Now that we have our list of companies and decision-makers, it's time to take things to the next level. We will enrich the prospects' LinkedIn profiles with email addresses and additional contact details.

Let's dive in:

  1. Click the "Enrich" button in your Databar dashboard. (You're getting good at this by now, right?)
    Enrich button

     
  2. In the search bar, type "email" to find relevant email enrichment APIs.
    Email search

     
  3. Choose an email enrichment API that fits your needs. Popular options include Prospeo API, Hunter.io, or PeopleData Labs
     
  4. Now, let's map the "LinkedIn URL" field to the corresponding column in your dataset. 
    Link LinkedIn ID
     
  5. Choose the columns to add to the table.
     Select columns table
     
  6. Click the "Add to Table" button to add this enrichment to your table.
    Add columns to table
     
  7. Run the enrichment for selected rows or for all rows at once.
    Run email enrichment

After completing this step, your table will include email addresses for the decision-makers you've identified, where available.

Putting It All Together

At this point, you've taken a simple job search and turned it into a comprehensive prospecting powerhouse. Your final dataset should now include:

  1. Open job postings matching your criteria
  2. Detailed information about the companies posting these jobs
  3. A list of potential decision-makers within each company
  4. Email addresses for these decision-makers

This 360-degree view opens up multiple possibilities:

  • Connect with decision-makers at companies that are actively hiring
  • Personalize your outreach messages with company-specific insights
  • Identify potential pain points or needs based on open job postings
  • Target decision-makers directly, improving your chances of reaching the right person
  • Time your outreach effectively by focusing on companies actively expanding their teams
  • Segment your prospects based on company size, industry, or hiring patterns
  • Build a targeted list of leads for your sales or marketing campaigns

Conclusion

By leveraging Databar's powerful features, you've transformed a time-consuming, manual process into an efficient, data-driven approach. Whether you're doing outreach, recruiting, or conducting market research, this method provides valuable insights and connections in a fraction of the time it would take manually.

Remember, the key to success is in how you use this information. Personalize your outreach, do your homework before meetings, and always aim to provide value in your interactions. Happy hunting!

 

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