✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Lever is an applicant tracking system designed for collaborative hiring. Candidate profiles contain email addresses from direct applications, recruiter sourcing, employee referrals, and agency submissions. Since Lever emphasizes nurture relationships with past candidates, the database retains contacts long after their initial application. dataclean.to validates your Lever export to identify which candidate emails are still reachable, so your sourcing and re-engagement efforts target active inboxes.
The Problem
Lever's approach to candidate relationship management means your database is intentionally large and long-lived, which creates unique data quality challenges. Sourced candidates have email addresses pulled from LinkedIn profiles, personal websites, or conference attendee lists, and these are frequently incomplete or outdated at the time of entry. Lever's Chrome extension for sourcing captures whatever email is displayed on a web page, including mailto links that may be role-based aliases rather than personal addresses. Candidates who applied through Lever's job posting pages self-enter their email, but the form validation is minimal. Employee referrals include email addresses entered by the referrer from memory, not from the candidate directly. Over multiple hiring cycles, candidates change jobs (invalidating work emails), relocate (changing ISP-based addresses), or consolidate personal email providers. Lever archives are valuable for re-engagement but only if the addresses still work. Lever data export documentation
How to Fix It
1
Export candidate data from Lever
In Lever, generate a candidate data export from the Settings area or use the API. Include email, name, source, stage, and application date. For bulk exports, use Lever's scheduled report feature to get CSV output.
2
Upload to dataclean.to
Import the Lever CSV. The platform validates every candidate email, paying attention to sourced addresses that have the highest error rate and company emails that may have expired since the application date.
3
Check sourced candidate addresses
Flag addresses from Chrome extension sourcing that may be role-based (careers@, hr@, info@) rather than personal addresses. Identify domains that have changed (company acquisitions, rebrands) since the candidate was sourced.
4
Validate by application age
Cross-reference email validity with application date. Older applications have a higher probability of stale addresses. Corporate email addresses for candidates who applied more than two years ago should be treated with extra scrutiny.
5
Export validated candidate contacts
Download the cleaned candidate database. Use it for targeted re-engagement campaigns, talent pool nurture sequences, or data migration to a new ATS with confidence in contact accuracy.
Frequently Asked Questions
How does Lever's sourcing extension affect email quality?
The Lever Chrome extension captures email addresses from web pages and LinkedIn profiles. These addresses may be outdated LinkedIn contact info, generic company emails, or addresses the candidate no longer uses. Sourced addresses consistently have higher invalidity rates than direct application emails.
Should I clean archived candidates in Lever?
Yes, if you plan to use your archive for re-engagement or talent pool nurture campaigns. Archived candidates often have the oldest addresses in your database. Cleaning before outreach prevents bounces and protects your recruiting domain reputation.
Can I preserve Lever's stage and source data during cleaning?
Yes. dataclean.to preserves all non-email columns during cleaning. Your Lever stage, source, tags, and custom fields remain intact so you can segment and prioritize your cleaned candidate list.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.