# Ethereum Address Labels | Bitquery Data Store

25.8 million Ethereum rows: exchange deposit wallets, named contracts and tokens, payment services, casinos, mining pools and phishing.

Dataset page: https://bitquery.io/datastore/datasets/ethereum-address-labels
Network: Ethereum
Category: Labels
Tables: 1
Columns: 4
Coverage: first block to 2026-09-24
Refresh: Snapshot
Rows: about 26M
Size: about 902 MB
Format: Apache Parquet, Snappy compression, one prefix per table
Licence: https://bitquery.io/datastore/legal/data-license

## What this is

One snapshot of our Ethereum table: 25.8 million rows, each an address, a type and a value such as binance-deposit or coinbase-exchange-deposit, across 48 types.

Ethereum has the widest spread: 21.7 million deposit wallets, 1.0 million payment service wallets, 856,515 casino wallets, 1.5 million named contracts, 55,849 token contracts, 187,903 mining pool, 3,371 phishing, 900 hacker and 167 sanctioned wallets. Join it to Ethereum transfers or trades on the address to name who is on the other side.

## What people use it for

- Name the other side of Ethereum 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/ethereum
File naming: part_<n>.parquet
Free sample (real Parquet, no email needed): https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/labels/samples/ethereum-address-labels_sample.parquet
Sample updated: Sep 25, 2026

| column | type | description |
| --- | --- | --- |
| Address | String | The Ethereum address, lowercase 0x hex. |
| Chain | String | Always ethereum in this dataset; kept so files from several chains can be stacked. |
| Label_Type | String | Type of tag, one of 48 values here, such as cex-deposit-address, cex-hot-wallet, gambling or scam. |
| Label_Value | String | Who or what the wallet belongs to, usually a name plus a role (binance-deposit or coinbase-exchange-deposit). A few rows repeat the type instead of a name. |

## 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 Ethereum tag: the address, the chain, a type such as cex-deposit-address or scam, and a value such as binance-deposit or coinbase-exchange-deposit. The Chain column is always ethereum, so these files stack with other chains.

Q: How big is it?
A: 25.8 million rows in 48 types as of 25 September 2026, about 0.9 GB as Parquet, naming about 434 exchanges, payment services and casinos.

Q: How do I use it with transfer or trade data?
A: Join on the address and the chain. Addresses are stored in lowercase, so lower-case yours first. 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. 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, Ethereum included, with the same columns, for $12,000. Ethereum 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.