Use case · B2B sales, enrich your CRM
Turn names and domains into verified emails.
Your CRM is full of (first name, last name, domain) rows that lack the email. Manual lookup is hours per 100 contacts. Kavex Email Finder + Verifier turns the same list into sequencer-ready emails in minutes, pattern-test the most likely formats, SMTP-verify the winners, push the result back to your CRM.
What this page isOne playbook, 4 steps, every rate read from the same config the billing runs on, and the arithmetic for 1,000 rows done in full. Nothing rounded, nothing hidden behind a demo call.
THE FIRST STEP OF THIS PLAYBOOK, MEASURED · WHAT IT FOUND, HOW LONG IT TOOK, WHAT IT COST
Last run
plumbers · London · Google Maps
Rows
30
Time
23s
Credits
60
Cost
€0.06
The playbook
4 steps, one run.
Every step below is a scraper you switch on in the same job. The rate next to it is what it actually charges, per unit, with no minimum.
NrScraperWhat it doesRate
01
Upload the CSV
Upload your CSVThree columns: first_name, last_name, domain. 100 rows or 100,000.
0 creditsuploading costs nothing
02
Email Finder
Run Email FinderFor each row we generate 8 candidate emails (j.doe@, jdoe@, john.doe@, etc.) and SMTP-test each until one accepts.
5 creditsa find
03
Email verification
Add Email Verifier as an add-onCatch-all detection so you don't mistake "this domain accepts everything" for a real hit.
1 creditan email
04
Export to CSV
Pipe to your sequencerCSV maps cleanly to Salesforce, HubSpot, Apollo, Outreach. No manual lookup again.
0 creditsevery export is free
The configuration
ServiceEmail Finder
Add-onEmail Verifier (catch-all detection)
InputCSV: first_name, last_name, domain
The arithmetic
1,000 rows, in full.
1,000 lookups → ~800 verified emails
StepUnitsRateCredits
Email Finder1,000 finds· 5 credits a find5,000
Email verification800 emails· 1 credit an email800
Total for the run1,000 rows· $0.0058 each5,800
WHAT THE RUN COSTS
$5.805,800 credits
PER ROW5.8 credits · $0.0058
A $10 TOP UP1 run, 4,200 left
NOT FOUNDcomes back to you
The assumption we madeVerification is billed on the 800 addresses the finder actually returned. The 200 rows it could not resolve are not billed twice.
What comes back
The spreadsheet, 4 rows in.
Same columns every scrape gives you, plus the ones this playbook added. Nothing is filled in by hand afterwards.
| first | last | domain | found email | confidence | method |
|---|---|---|---|---|---|
| John | Doe | acme.com | j.doe@acme.com | high | smtp_verified |
| Anna | Müller | globex.de | anna.mueller@globex.de | high | smtp_verified |
| Marie | Dubois | initech.fr | m.dubois@initech.fr | medium | smtp_verified |
| John | Smith | soylent.io | none | not_found |
+996 MORE ROWS IN THE SAME EXPORTExport CSV ↓
The other 4SAME CREDITS · SAME SCRAPERS · A DIFFERENT PLAYBOOK
Point it at something. See what comes back.Your first 500 Google Maps leads are on the house. No card needed.
Start scraping free →