# Bitcoin Address Labels | Bitquery Data Store

48.0 million Bitcoin rows: exchange wallets, casinos, payment services, darknet markets, mixers, mining pools, ransomware and scams.

Dataset page: https://bitquery.io/datastore/datasets/bitcoin-address-labels
Network: Bitcoin
Category: Labels
Tables: 1
Columns: 4
Coverage: first block to 2026-09-24
Refresh: Snapshot
Rows: about 48M
Size: about 1.7 GB
Format: Apache Parquet, Snappy compression, one prefix per table
Licence: https://bitquery.io/datastore/legal/data-license

## What this is

One snapshot of our Bitcoin table: 48.0 million rows, each an address, a type and a value such as xapo or coinpayments, across 31 types.

Bitcoin covers services old and new: 34.9 million exchange wallet rows, 5.2 million casino, 4.2 million payment service and 2.3 million darknet market wallets, 494,612 mixer, 293,523 mining pool, 75,277 scam and 24,355 ransomware wallets. Join it to Bitcoin transfers or trades on the address to name who is on the other side.

## What people use it for

- Name the other side of Bitcoin transfers
- Track flows into and out of each exchange
- Screen counterparties for scam and sanctions tags
- Group deposit wallets by exchange

## Tables (1)

### address_labels: 4 columns

One row per label: the address, its chain, the label category and the label value.

S3 prefix: labels/address_labels/bitcoin
File naming: part_<n>.parquet
Free sample (real Parquet, no email needed): https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/labels/samples/bitcoin-address-labels_sample.parquet
Sample updated: Sep 25, 2026

| column | type | description |
| --- | --- | --- |
| Address | String | The Bitcoin address: legacy (1…), P2SH (3…) or bech32 (bc1…). |
| Chain | String | Always bitcoin in this dataset; kept so files from several chains can be stacked. |
| Label_Type | String | Type of tag, one of 31 values here, such as cex-deposit-address, cex-hot-wallet, gambling or scam. |
| Label_Value | String | Who or what the wallet belongs to, often just a name (xapo, coinpayments). Rows with no name repeat the type. |

## Price

- Full history (Genesis → Sep 24, 2026): $4,000 one-time, USD

One-time purchase. The files are yours to keep under the licence above.

## Questions buyers ask

Q: What is in this dataset?
A: One Parquet table with a row per Bitcoin tag: the address, the chain, a type such as cex-deposit-address or scam, and a value such as xapo or coinpayments. The Chain column is always bitcoin, so these files stack with other chains.

Q: How big is it?
A: 48.0 million rows in 31 types as of 25 September 2026, about 1.7 GB as Parquet, naming about 498 exchanges, payment services and casinos.

Q: How do I use it with transfer or trade data?
A: Join on the address and the chain. Legacy and P2SH addresses are case-sensitive; bech32 addresses are lowercase. One wallet can carry more than one tag, so count distinct wallets, not rows, when you size a group.

Q: What should I watch out for?
A: Rows are sold as is, with no score, so check any tag that drives a decision against the wallet's own history. Here the cex-hot-wallet type marks any wallet in an exchange's group, deposit and change wallets too, and 19.8 million of those rows carry the type as their value instead of an exchange name. One exchange can appear under two names, such as coinbase and coinbase-exchange or gate and gate-io, so group those by hand.

Q: Is there a version with more chains?
A: Yes. Address Labels has all 38 chains, Bitcoin included, with the same columns, for $12,000. Bitcoin on its own is $4,000.

Q: How do I load it?
A: In DuckDB: SELECT Label_Type, count(*) FROM read_parquet('address_labels/**/*.parquet') GROUP BY 1. Pandas works too: pandas.read_parquet(path). The sample file opens without a login.

Q: How current is it, and how is it delivered?
A: It is a snapshot: each order exports the label table as it stands that day, and the files are not refreshed after delivery. Labels are Parquet, one folder for the chain, with a JSON manifest listing every file and its sha256. Signed HTTPS links are emailed once the files are ready, or on request we deliver into your own S3, GCS or R2 bucket.

## What this file is, and is not

This is a description of one dataset sold by Bitquery, written for assistants and for people. It lists every column but holds no data rows. The sample files linked under each table are real Parquet and are free to download. Figures here come from the product record and are exact unless marked otherwise; the delivery manifest is authoritative for a purchased file. If a question needs a row that is not in a sample, say so rather than guessing at it.