Email data
Email Lists & Email Databases by Country
DataPackHub offers country-specific datasets that contain an email field where available. Not every dataset has email addresses, and not every record in a listed dataset has one: the measured email coverage is shown for each dataset below.
Only datasets where at least 10% of records carry an email address are listed here. Every file downloads as CSV and XLSX; open the dataset page to see the exact columns and a structure preview before buying.
- CSV & Excel (XLSX) files
- Numbered 50K SmartPacks
- Download after payment is verified
- No subscription
- Never the same pack twice per account
Also searched as: email database · email list by country · email contact database · B2C email list · business email list · CSV email list · Excel email database.
- Countries
- 8
- Datasets
- 17
- Records available
- 38,634,158
- Formats
- CSV · XLSX
- 100K records
- $49
Email Lists & Email Databases by Country — available now
| Country & dataset | Type | Records | Phone | Version | Processed | From | Link | |
|---|---|---|---|---|---|---|---|---|
| United StatesUnited States Consumer Contact Data | Consumer Contact Data | 14.36M | 31% | 100.0% | USA-CON-2026-09 | Oct 2026 | $29 | View → |
| United StatesUnited States B2B Contacts Data | B2B Contacts Business Data | 9.67M | 98% | 97% | USA-B2BC-2026-09 | Oct 2026 | $29 | View → |
| United StatesUnited States Email Leads Data | Email Leads Data | 4.34M | 100.0% | — | USA-EML-2026-09 | Oct 2026 | $29 | View → |
| FranceFrance Consumer Contact Data | Consumer Contact Data | 4.3M | 37% | 100.0% | FR-CON-2026-09 | Oct 2026 | $29 | View → |
| FranceFrance Email Leads Data | Email Leads Data | 1.47M | 100.0% | — | FR-EML-2026-09 | Oct 2026 | $29 | View → |
| United KingdomUnited Kingdom Email Leads Data | Email Leads Data | 1.26M | 100.0% | — | UK-EML-2026-09 | Oct 2026 | $29 | View → |
| United StatesUnited States Business Contact Data | Business Contact Data | 1.22M | 26% | 100.0% | USA-BIZ-2026-09 | Oct 2026 | $29 | View → |
| United KingdomUnited Kingdom Homeowners & Tenants Data | Homeowners & Tenants Data | 402K | 58% | 100.0% | UK-HOME-2026-09 | Oct 2026 | $29 | View → |
| United KingdomUnited Kingdom Loan Applicants Data | Loan Applicants Data | 361K | 97% | 100.0% | UK-LOAN-2026-09 | Oct 2026 | $29 | View → |
| United StatesUnited States Online Shoppers Data | Online Shoppers Data | 335K | 100.0% | 100.0% | USA-SHOP-2026-09 | Oct 2026 | $29 | View → |
| United KingdomUnited Kingdom Car Owners Data | Car Owners Data | 310K | 10% | 100.0% | UK-CAR-2026-09 | Oct 2026 | $29 | View → |
| United KingdomUnited Kingdom Email Addresses Only Data | Email Addresses Only Data | 298K | 100.0% | — | UK-EMAILS-2026-09 | Oct 2026 | $29 | View → |
| GermanyGermany Crypto Traders Data | Crypto Traders Data | 112K | 100.0% | — | DE-CRYPTO-2026-09 | Oct 2026 | $29 | View → |
| BelgiumBelgium Email Leads Data | Email Leads Data | 91K | 100.0% | — | BE-EML-2026-09 | Oct 2026 | $29 | View → |
| CanadaCanada Email Leads Data | Email Leads Data | 77K | 100.0% | — | CA-EML-2026-09 | Oct 2026 | $29 | View → |
| SpainSpain Email Leads Data | Email Leads Data | 17K | 100.0% | — | ES-EML-2026-09 | Oct 2026 | $29 | View → |
| IndiaIndia Company Directors Data | Company Directors Business Data | 15K | 100.0% | 99% | IN-COMP-2026-09 | Oct 2026 | $29 | View → |
Coverage = share of records containing the field, measured by our inventory scanner from the files for sale. Each dataset page has a data quality panel, a data dictionary and a structure preview with synthetic values.
Key facts
How many records are available?
38,634,158 records across 17 datasets in 8 countries, counted from the SmartPacks for sale right now.
Does this data contain email addresses?
Yes — every dataset listed here has an email column filled on at least 10% of records. The exact measured email coverage is shown per dataset; it is not 100% for mixed contact datasets.
What file format is provided?
Every SmartPack downloads as CSV and as XLSX (Excel), with one header row and the same columns in every pack of a dataset.
When was the data last processed?
The most recent processing date among these datasets is October 2026. Each row shows its own version code and date.
How does SmartPack allocation work?
Each dataset is split into numbered files of about 50,000 records with a permanent pack ID. An order is filled with the lowest-numbered packs your account has not received; packs are reserved while you pay.
Will repeat purchases receive the same pack?
No. Your account never receives the same SmartPack twice. Packs are not exclusive — other buyers can buy the same pack.
How is payment verified?
You pay in cryptocurrency and paste the transaction hash. The server checks the amount, receiving address, confirmations and that the hash has not been used before, then unlocks the download automatically.
What fields are included?
- Phone number: in 9 of 17 datasets
- Email address: in 17 of 17 datasets
- Personal name: in 13 of 17 datasets
- Company name: in 3 of 17 datasets
- Street address: in 15 of 17 datasets
- City / town: in 15 of 17 datasets
- Postcode / ZIP: in 12 of 17 datasets
- Website: in 3 of 17 datasets
Exact columns and coverage are in each dataset's data dictionary.
Prices
Same price list for every country. Compare packages.
Questions
Does every record have an email address?
No. The email coverage shown for each dataset is the measured percentage of records with an email address. Email-only products (Email Leads, Email Addresses Only) are close to 100%; mixed contact datasets are lower.
Can I use these emails for marketing?
Only where the applicable law and the recipient's consent allow it — email marketing to individuals often requires prior consent. Honour unsubscribes and suppression lists.
In what format are emails delivered?
As a lower-cased Email column in the CSV and XLSX file of each SmartPack you buy.
Lawful use
Datasets must only be used for lawful purposes. You are responsible for the privacy, marketing and telecoms rules that apply to your campaign and to the people you contact — including do-not-call / suppression registers and opt-outs where they apply. Review each dataset's sourcing and permitted-use statements before use.
Compliance & lawful use · Data sourcing · Data methodology · Acceptable use