Domains Database CSV Format Reference

Overview

The Domains Database delivers a CSV file containing newly registered domain names collected from registries worldwide. This article describes every column in the CSV so you can confidently import, filter, and process the data.

The daily feed (pid=10) covers 240,000+ new registrations per day across 1,570+ TLDs. Each row represents one unique domain name observed on that date.

For access and pricing, see the Domains Database page.

CSV Column Reference

`domain`

The full registered domain name including its TLD extension.

Type: String
Example: examplestartup.io
Always present: Yes
Notes: Lowercase. Does not include a trailing dot. Does not include www..

`tld`

The top-level domain extension, without the leading dot.

Type: String
Example: io, com, co.uk, in
Always present: Yes
Notes: For multi-part ccTLDs like .co.uk or .com.au, the full second-level TLD is included (e.g. co.uk, not just uk).

`registered_at`

The date the domain was registered, as reported by the registry.

Type: Date string YYYY-MM-DD
Example: 2026-04-14
Always present: Yes for daily feed records
Notes: Reflects the date of first registration. Matches the date of the file in normal circumstances.

`registrar`

The name of the registrar through which the domain was registered.

Type: String
Example: GoDaddy.com, LLC
Always present: Usually. May be empty for some ccTLD registries that do not publish registrar information.

`registrar_iana_id`

The ICANN/IANA assigned numeric ID for the registrar.

Type: Integer (stored as string)
Example: 146
Always present: No. Empty for ccTLDs not under ICANN registrar accreditation.

`nameservers`

A pipe-delimited (|) list of nameserver hostnames for the domain.

Type: String (pipe-separated)
Example: ns1.cloudflare.com|ns2.cloudflare.com
Always present: No. Empty if the registry does not publish nameserver data, or if the domain has no nameservers assigned yet.
Notes: Split on | to get an array of individual nameserver hostnames.

`status`

A pipe-delimited (|) list of EPP status codes for the domain.

Type: String (pipe-separated)
Example: clientTransferProhibited|clientDeleteProhibited
Always present: No. Empty for registries that do not publish EPP status.
Notes: Common values include clientTransferProhibited, clientDeleteProhibited, clientUpdateProhibited. See Understanding WHOIS Data Fields for the full status code reference.

Filtering the Data

Filter by TLD

To extract only .io domains using standard tools:

Excel - Text Filter: Select the tld column, use Data > Filter, then filter where tld equals io.

Python:

import pandas as pd

df = pd.read_csv("domains-2026-04-15.csv")
io_domains = df[df["tld"] == "io"]
print(io_domains.shape[0], "new .io domains today")

Command line (grep):

grep ',io,' domains-2026-04-15.csv > io-domains.csv

Filter by Keyword in Domain Name

# Get all domains containing "shop" or "store"
ecommerce = df[df["domain"].str.contains("shop|store", case=False)]

Filter by Registrar

# Get all GoDaddy registrations
godaddy = df[df["registrar"].str.contains("GoDaddy", case=False, na=False)]

Filter by Nameserver Provider

This is useful for identifying domains using specific hosting infrastructure:

# Get all domains using Cloudflare nameservers
cloudflare = df[df["nameservers"].str.contains("cloudflare", case=False, na=False)]

Combining Domain Data With Contact Information

The Domains Database contains domain names and registration metadata only - it does not include registrant contact information. To get contact details:

WHOIS Contact Data: The WHOIS Database adds registrant name, email, phone, and address for domains where this is publicly available. Cross-reference by domain name.
Website Contact Data: The Website Database adds emails and phone numbers extracted from the domain's live website.

Whois Database