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blockchain-etl
ethereum-etl
Python2018–2022
blockchain-etl / ethereum-etl

ethereum-etl

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

2Distinct people
2Mentions
0Explicit recommenders
3.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year2 dated mentions

Observed mentions: 2018-10-20 01:13:37 UTC to 2022-10-14 17:52:47 UTC.

012018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101

What Hacker News says

2 sources
Looks like the data is from Etherscan.io . Ethereum in BigQuery: https://console.cloud.google.com/marketplace/product/ethereu... and the ETL scripts: https://github.com/blockchain-etl/ethereum-etl cmorqs-public/cmorq-eth-data in BigQuery: https://console.cloud.google.com/marketplace/product/cmorqs-... blockchain-etl/awesome-bigquery-views has example SQL queries for querying the BigTable copy of the Ethereum blockchain: https://github.com/blockchain-etl/awesome-bigquery-views Jupyter Notebooks showing how to query the Ethereum BigQuery Public Dataset: /? Ethereum Kaggle: https://www.google.com/search?q=ethereum+kaggle
In You Can Now Google the Balances of Ethereum Addresses
Thanks for the feedback - cofounder of CoinFi here. We actually help fund the open source Ethereum ETL scripts created by our data engineer Evgeny here: https://github.com/blockchain-etl/ethereum-etl In addition, we've contributed the ingest as a public data set to Google Cloud if you want to do your own analytics without running the architecture: https://cloud.google.com/blog/products/data-analytics/ethere... The compilation of exchange specific addresses is a long and tedious process, plus we hypothesize that exchanges would rather prefer to keep their addresses private, so we're not releasing that information though. However, one of our Signals products reads from the Ethereum blockchain in real-time and notifies whenever there are abnormal movements to/from exchanges. Unfortunately we're aware of the "pump and dump" association with s
Read the rest
ignals - any suggestions for front footing that negative connotation and showing users that this is in fact different? One way we've thought about is to create a Signals Library that basically explains each signal we provide and details the behind what it represents, a rough overview of what triggers it, and the historical performance if you traded off of it. Any other suggestions would be greatly appreciated!
In GraphSense – A Scalable Cryptocurrency Analytics Platform

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