How to Export LinkedIn Job Applicants to CSV (Resumes, Emails, Phone Numbers)
Learn how to export LinkedIn job applicants to CSV including resumes, emails, phone numbers, screening answers, and job data — without LinkedIn Recruiter.
Introduction
If you've ever posted a job on LinkedIn that received hundreds or thousands of applicants, you've likely hit the same wall:
You can see the applicants, but you can't actually use the data.
Downloading resumes one by one, copying emails manually, or asking team members to log into your LinkedIn account does not scale. And LinkedIn Recruiter, while powerful, is expensive and overkill for many small and mid-sized businesses.
This article explains:
- Why exporting LinkedIn applicants is intentionally difficult
- What data companies actually need from applicants
- How to export LinkedIn job applicants to CSV in a way that scales
Why LinkedIn Makes Applicant Exporting Hard
LinkedIn is optimized for:
- Viewing applicants one at a time
- Keeping hiring activity inside LinkedIn
- Upselling Recruiter licenses for collaboration and exports
What LinkedIn does not make easy:
- Bulk resume downloads
- Exporting applicant emails and phone numbers
- Sharing applicant data with your team
- Tracking job spend vs applicant quality
If you have 50 applicants, this is annoying.
If you have 1,000+, it becomes operationally impossible.
What Hiring Teams Actually Need (But Can't Get Easily)
When companies talk about "exporting applicants," they are not asking for anything exotic.
They typically need:
- Applicant name, title, and location
- Resume file and a shareable resume link
- Email address and phone number
- Screening questions and answers
- Work experience and education
- Application date and status
- Job-level context (which job, when posted)
LinkedIn shows most of this data, but not in a way that can be exported or shared at scale.
The Manual Export Problem (And Why It Breaks at Scale)
Let's be realistic.
Manually exporting LinkedIn applicants means:
- Opening each applicant profile
- Downloading each resume individually
- Copying emails or phone numbers where available
- Repeating this process hundreds or thousands of times
Even at 1 minute per applicant:
- 500 applicants = ~8 hours
- 2,000 applicants = ~33 hours
- 6,000 applicants = ~100 hours
That's before any actual screening or interviews happen.
What "Exporting LinkedIn Applicants to CSV" Actually Means
A proper CSV export should include structured data, not just names.
A useful applicant CSV includes columns like:
- Full name
- LinkedIn profile URL
- Email (if available)
- Phone number (if available)
- Resume URL
- Resume filename
- Work experience
- Education
- Screening questions and answers
- Applied date
- Job ID or job title
Without this structure, teams end up rebuilding the dataset manually in spreadsheets.
How ApplicantSync Exports LinkedIn Applicants
ApplicantSync uses a Chrome extension to automate what would otherwise take weeks of manual work.
Once connected:
- You select the LinkedIn job
- ApplicantSync extracts applicant data automatically
- Data is organized into applicants, jobs, and analytics
- Applicants can be exported to CSV and shared with your team
This approach:
- Avoids credential sharing
- Avoids Recruiter licenses
- Preserves hiring privacy
- Scales to thousands of applicants
What Gets Exported (Real Examples)
A typical ApplicantSync export includes:
- Name, headline, title, location
- LinkedIn profile URL
- Email and phone (with coverage tracking)
- Resume file and shareable resume link
- Parsed experience and education
- Screening questions and answers
- Application timestamps and status
This data can then be:
- Imported into an ATS
- Shared with hiring managers
- Reviewed by external interviewers
- Fed into screening or interview automation
When You Should Export Applicants Instead of Using Recruiter
Exporting applicants makes sense when:
- You don't want to pay for LinkedIn Recruiter
- You want your team to review applicants without LinkedIn access
- You need to analyze applicants at scale
- You want to preserve control over hiring data
- You plan to automate screening or interviews
Recruiter is powerful, but many teams only need access, not another full platform.
Final Thoughts
LinkedIn is excellent at generating applicants.
It is not designed to help you process them efficiently unless you pay for additional licenses.
Exporting LinkedIn applicants to CSV restores:
- Ownership of your hiring data
- Team collaboration without friction
- Time that would otherwise be wasted on manual work
If you already paid to attract applicants, you should be able to actually use the data.