linkedin profiles

LinkedIn URL on 48.5M records, across the widest country spread we hold.

48,500,493 profile-matched records in 242 countries. Field 11 is the one that survives a job change: when the work email dies, the profile is still how you find the person.
name, title and company only — no connection-level data
Profile-matched rows
0 M
Countries covered
0
Fields per record
0
Per file, one time
$ 0
what is in the column

The field that outlives the email address.

Work emails decay every time someone changes job. A profile URL does not — it follows the person. That makes this column the most useful one for account mapping, and the most useful fallback when a send bounces.
The matched profile URL
Where a record was matched to a professional profile, the URL is on the row. Where it was not, the cell is empty rather than guessed from a name.
No private or network data
Name, title and company, from listings published for the purpose of being contacted, plus licensed partner data. No connections, no messages, no activity.
Account mapping, then email
Map the org from profiles, cut the accounts that survive, then work the work-email column on what is left. Two flat fees, no seat licences.
A bounce fallback
When an address bounces, the profile is how you re-find the person rather than losing the row entirely.
coverage

The twelve largest countries for profile data

Counts are profile-matched records for that country. Coverage is wide but shallower per market than the email file — worth comparing both if your market is small.

United States

North America

13,000,000

27% of field

Vietnam

Asia

3,200,000

6.6% of field

Kenya

Africa

2,900,000

6.0% of field

Estonia

Europe

2,800,000

5.8% of field

Peru

South America

2,700,000

5.6% of field

Serbia

Europe

2,600,000

5.4% of field

Puerto Rico

North America

2,600,000

5.4% of field

Luxembourg

Europe

2,600,000

5.4% of field

Croatia

Europe

2,400,000

4.9% of field

SLOVAKIA EMAIL DATABASE

Slovakia

Europe

2,400,000

4.9% of field

Costa Rica

North America

2,200,000

4.5% of field

Malta

Europe

2,200,000

4.5% of field

Europe

18,699,755

North America

18,251,724

Asia

5,371,895

Africa

2,942,736

South America

2,809,518

Oceania

341,392

Middle East

83,473

the field in context

Profile URL alongside the title and company it belongs to.

All eleven columns ship in every file, so this field arrives alongside the rest whether or not it is the reason you bought See all 11 fields.

phone file

CONTACT PERSON

GENDER AGE PHONE NUMBER LOCATION COUNTRY

D. Mwangi

F 34 +254 7•• ••• 214 Nairobi KE
T. Nguyen M 41 +84 9•• ••• 907 Da Nang VN

P. Sharma

M

29

+91 98•• ••4 512 Pune IN
L. Fernández

F

52

+34 6•• ••• 083 Sevilla ES
what to expect

Not every row has a profile, and not every profile has an email.

These two fields overlap rather than coincide. A row can carry a profile and no address, an address and no profile, or both. The sample shows all three cases, because a file that pretended otherwise would not survive your first look at it.

profile-matched rows · widest country coverage in the catalogue

where held

The profile URL the record was matched to

never

A URL constructed from a name

strongest for

Account mapping and market sizing

pair with

The company email file for the accounts that survive the cut

questions

Questions about profile data

Is this scraped from LinkedIn?
Name, title and company come from professional listings published to be contacted, plus licensed partner data. No private or connection-level information is in the file.
Send it back and we will match what we can, and tell you the match rate before you pay anything further.
Because a profile can exist for a person whose work address we could never verify. Breadth in this column is honest; it does not mean the email column is that wide.
No. We sell data files. What you do on the platform is between you and the platform.
the other fields

Eleven columns, and none of them cost extra

Every file carries all eleven. These pages exist because buyers usually arrive looking for one specific column.

Business email addresses

264.7M

The work address, and the only field the whole verification pipeline exists to protect.

Direct phone numbers

94.6M

Numbers on business rows where the source held one, plus 94.6M consumer phone records.

Company size & revenue

on the row

Employee band and revenue band on the row, not an enterprise add-on.

Job title & seniority

264.7M

The title as recorded, normalised into eleven role values you can filter on.

Ask for 100 rows and check the profile fill rate in your market.

Name the countries and the field you care about most, and the 100-row sample will show you exactly how densely it is populated there.

FREE 100-ROW SAMPLE

See 100 real rows before you spend anything.

Tell us who you’re trying to reach and we’ll pull a genuine slice of that list — with the date every address was last checked. Test it in your own tool, then decide.

EMAIL

COMPANY

TITLE

CHECKED

j.whitcombe@•••••.com

Northloop

Founder

Updated

priya.n@•••••••.io

Cadence AI

CEO

Updated

+ 98 More Rows in Your Sample

EmailProLeads

100 verified rows, free, before you pay a thing.

Tell us the audience you’re after and we’ll send a real slice of that file — with the date each address was last checked.

EMAIL

COMPANY

TITLE

CHECKED

j.whitcombe@•••••.com

Northloop

Founder

Updated

priya.n@•••••••.io

Cadence AI

CEO

Updated

+ 98 More Rows in Your Sample

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