How to track all the NFTs of a wallet address in python.

Evangelos Pappas
CoinsBench
Published in
3 min readDec 6, 2022

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Photo by Sortter on Unsplash

Introduction

Non-fungible tokens (NFTs) are a type of digital asset that represents unique and indivisible items, such as collectibles, virtual real estate, or even digital art. They are built on top of blockchain technology, and their uniqueness and scarcity make them highly sought after by collectors and investors alike.

In this blog post, we will see how to use Python to track the NFTs that are owned by a particular wallet address in the Ethereum blockchain. We will use the popular web3.py library to interact with the Ethereum network, and we will also use a tool called OpenZeppelin to easily handle NFTs.

Setting up the Environment

First, we need to set up our Python environment and install the required libraries. We will need web3.py and OpenZeppelin:

pip install web3
pip install openzeppelin-sdk

Once these libraries are installed, we can import them into our Python script:

from web3 import Web3
from openzeppelin_sdk import NFT

Connecting to the Ethereum Network

Next, we need to connect to the Ethereum network in order to interact with it. In this example, we will use the popular Infura service to access the main Ethereum network (also known as mainnet).

First, we need to sign up for an account on Infura and create a new project to obtain an API key. Once we have the API key, we can use it to create a connection to the Ethereum network using web3.py:

# Replace this with your Infura API key
infura_api_key = "your_api_key"

# Create a connection to the main Ethereum network
web3 = Web3(Web3.HTTPProvider("https://mainnet.infura.io/v3/{}".format(infura_api_key)))

Getting the NFTs of a Wallet Address

Now that we are connected to the Ethereum network, we can use the web3.py library to query the blockchain and get the NFTs that are owned by a particular wallet address.

First, we need to specify the wallet address that we want to query. In this example, we will use the address of the popular CryptoKitties NFT game:

# Replace this with the wallet address you want to query
wallet_address = "0x06012c8cf97bead5deae237070f9587f8e7a266d"

Next, we need to find out which NFT contract is used by the CryptoKitties game. We can use the OpenZeppelin library to easily find this information.

# Use OpenZeppelin to get the NFT contract address of the CryptoKitties game
cryptokitties_contract = NFT.from_name("Cryptokitties")
cryptokitties_contract_address = cryptokitties_contract.address

Now that we have the contract address, we can use web3.py to query the contract and get the list of NFTs that are owned by the wallet address.

# Use web3.py to get the NFTs owned by the wallet address
nft_ids = web3.eth.contract(
address=cryptokitties_contract_address,
abi=cryptokitties_contract.abi
).functions.tokensOfOwner(wallet_address).call()

The nft_ids variable will now contain a list of all the NFTs owned by the specified wallet address.

Conclusion

In this blog post, we have seen how to use Python to track the NFTs that are owned by a particular wallet address in the Ethereum blockchain. We used the web3.py library to interact with the Ethereum network and the OpenZeppelin library to easily handle NFTs.

This is just a simple example of what you can do with Python and NFTs in Ethereum. You can use this knowledge to build more complex and interesting applications, such as a marketplace for NFTs, a portfolio tracker, or even a game that uses NFTs as items. The possibilities are endless!

NOTE: This blog post was created by OpenAI GPT-3, a large language model trained by OpenAI. While the content of this post may be informative and interesting, it is important to keep in mind that it was not written by a human. As a result, the information provided may not be 100% accurate and should not be taken as a definitive source of truth. It is always a good idea to do your own research and verify any information that you read on the internet before making any important decisions based on it. Thank you for reading!

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