VPN exit ranges, attributed to the operator.

Address ranges observed terminating a commercial VPN tunnel, each carrying the operator that runs it and how strongly the observation is supported — including the white-label fleets resold under names their own customers have never heard of.

Schema at a glance.

See documentation →

The database's schema and metadata are documented carefully. It is published as CSVGZ and MMDB.

start_ipend_ipproviderconfidencelast_seen
216.131.87.112216.131.87.127ipvanishhigh2026-09-08
208.85.18.71208.85.18.71tunnelbearhigh2026-09-07
187.13.129.184187.13.129.187nordvpnhigh2026-09-07
172.235.240.0172.235.240.11metrovpn_netmedium2026-09-04
95.170.13.2095.170.13.23pingvpn_pingsecurelow2026-06-16
ID
vpn_ip_v1
Entries
17,328,905
Refresh
Daily
CSVGZ
114 MB
MMDB
549 MB

Downloading it from code.

Database API reference →

One call gets you the current VPN IP build. Every official client wraps it three ways: straight to disk, a time-limited link you hand to your own runner, or bytes in memory. A file written to disk lands only once the whole transfer has arrived, and checksums() returns the published digests to verify it against.

download()
Streams the current build to a file, which lands only once the whole transfer has arrived, so a failed one never leaves a truncated file behind.
downloadUrl()
The time-limited link the API redirects to, for your own downloader, a job runner or a CDN pull.
downloadBytes()
The build in memory, for a small database or a pipeline that never touches a filesystem.
metadata()
Row count, file sizes and when the build last updated. Poll it and fetch only when a new one has landed.
checksums()
The md5, sha1, sha256 and sha512 digests of one file, to verify it once it lands.
import os
from internetdata import InternetData
client = InternetData(os.environ["INTERNETDATA_API_KEY"])
# what is in today's build, without moving the file
meta = client.database.metadata("vpn_ip_v1")
client.database.download("vpn_ip_v1", "mmdb", "./vpn_ip_v1.mmdb")
sums = client.database.checksums("vpn_ip_v1", "mmdb")
print(meta.updated, meta.entries, sums["sha256"])
load.pypip install internetdata
Also available for .NET, Ruby, Rust, Swift, Erlang, Perl and Zig. See all on GitHub →

Getting your hands on it.

The file is the product. Teams join VPN IP against traffic they already log, inside their own infrastructure, and never send an address anywhere to get an answer.

Rules and scoring

Join the rows against traffic you already log and score a session on the operator and the confidence, rather than on one boolean.

Account and payment risk

Signals at signup and checkout, where the answer has to be local, immediate and the same every time you evaluate it.

Network and abuse operations

Attribute what is hitting you to the infrastructure behind it, with provider ids that stay stable as ranges rotate.

License the full database
Sales will quote on volume, term and whether you need redistribution rights.
Checksums published per file — md5, sha1, sha256 and sha512.
The id fixes the schema, so a new build never changes the columns your parser reads.
Samples are cut from the current build, not a synthetic extract.

An official client for every major language.

All SDKs on GitHub →

Twelve official clients for the languages you ship in, each wrapping the database endpoints — list what you are licensed for, poll a build, follow the download redirect, verify what landed. Install commands are in the docs.

On this page

How often does this database rebuild?

Every database publishes its own cadence and its last build date. The proxy datasets additionally carry a rolling 90-day observation window, so first seen and last seen are relative to that window.

00 · Evaluate

Test the real build first.

An evaluation license puts a full current build in your hands — every row, every column, no sampling — so you can measure it against your own traffic before anyone talks about terms.

01 · License

Then license what you use.

Standard, for detection and decisions inside your own product and operations.
Redistribution, when the data ships onward inside what you sell — priced by scope, not by seat.
Annual terms, a named contact, and flexible payment terms — monthly, quarterly or yearly.