Welcome! In this tutorial, you will learn how to use Python to query the Anyblock ElasticSearch blockchain data API. First you will learn to initiate your ElasticSearch Python client. Then we will show you different queries to retrieve data from the Anyblock Index and...
Blog | Category: Tutorials
Learn how to retrieve and analyze data from the Ethereum Blockchain with the help of the anyblock.tools API.
Within this tutorial you will learn how to retrieve and analyze data from the Ethereum Blockchain with the help of the anyblock.tools SQL interface.
Here at Anyblock Analytics, we’ve developed a full suite of dedicated tools for blockchain analytics to help blockchain users access human-readable blockchain data in a single, easy-to-use platform.
Join us as we walk you through the process of transforming raw blockchain data into powerful dashboards and graphical user interface (GUIs).
Here at Anyblock Analytics, we choose Metabase as our primary blockchain visualization tool because it enables business users to answer their questions themselves, because of the simple Metabase point and click editor so that no SQL query language needs to be used (but it can). Read more on the process and a real-life example with many blockchain analytics screenshots.
You can use Google BigQuery, if you want to have general insights about Ethereum transactions and traces without running your own (archive) node. As soon you need to dig deeper into the world of Ethereum data, you need to do extra work. Decode the data, structure and store it, before you can start with your actual data science work.
You can now easily query the Ethereum blockchain using our Anyblock SQL database. Down to the smart contract event level, already enriched and decoded into human-readable text, and updated in real-time with the latest blocks from the Ethereum Mainnet and 22+ other blockchain networks.
In this article we would like to help you to get started using the Anyblock Index of 22+ Ethereum- and Bitcoin based blockchains.
Start using Ethereum data without losing precious developer time, running your own archive node or any hidden expenses.