Ethereum: a complete solution to explore BSC tokens
As a developer, it is likely that it is happy to discover the enormous ecosystem of the Binance Intelligent (BSC) chain. However, the navigation of many bees and interface can be overloaded. In this article, we give a guide to how to achieve the goal with Ethereum Native Token Explorer.
Why use a token explorer?
Before entering the solution, let’s discuss why you need a symbolic discovery in this context:
* TOKEN list: BSC has a large number of token bep-20s and each lists them manually.
* Transactions analysis : transactions analysis to identify trends, models or correlations with each token.
* View Data : View data to get information on the token power.
The solution: Web3py and BSC Token Explorer
To start, it is necessary to install the following addictions:
Web3: Python Director to interact with Ethereum Blockchain.
Ethers.js: Javascript cover of Ethereum Virtual Machine (EVM).
BSC_TOKEN_EXPLORER (BTE): a web -based interface to explore BSC tokens.
Here is a step by step on the use of Web3py and BSC Token Explorer:
Passage 1: Installation Employees
Bash
PIP Web3 installation Etheter BSC-TOKEN-EXPLORER
`
Passing 2: Set the environment
Create a new Python file (likeToken_explorer.py) with the following code:
Python
Import Web3
Initialize the web3 client
W3 = Web3.Web3 ()
Connect to the BSC network
W3.eth.setblocknumber (1000)
Get all the bep-20 tokens available and new on BSC
Token = w3eth.get_token ()
`
Step 3: Take Taken information
Use theTOKEN_EXPLORER” Directory to get information on each token:
`Python
Token token:
PRINT (F “Name token: {token.name}”)
PRINT (F “Symbol: {token.symbol}”)
PRINT (F “Decimali: {Token Decimal}”)
`
passage 4: imagine token data (optional)
You can use a library such as "Matplotlib" to view the token data:
Python
Matters matplotlib.pyplot -ot as PLT
Create a lane diagram on Token Power
PLT.BAR (TOKEN_EXPLORER.GET_TOKEN (), [1, 2, 3])
PLT.XLABEL (“token”)
PLT.YLabel (“Value”)
PLT.Title (“Performance token”)
Counter.show ()
`
passage 5: close the connection
Close the web3 connection after finishing:
Python
W3.exit
`
Example uses the case
Here is a detail of the example code that shows how to use theToken_Explorer” directory to explore the BSC tokens and view data:
`Python
Import Web3
Initialize the web3 client
W3 = Web3.Web3 ()
Connect to the BSC network
W3.eth.setblocknumber (1000)
Get all the bep-20 tokens available and new on BSC
Token = w3eth.get_token ()
Subtra information about token
Token token:
PRINT (F “Name token: {token.name}”)
PRINT (F “Symbol: {token.symbol}”)
Print (F “Decimali: {token.decals}”)
View token data (optional)
Matters matplotlib.pyplot -ot as PLT
Create a symbolic power diagram
PLT.BAR (TOKEN_EXPLORER.GET_TOKEN (), [1, 2, 3])
PLT.XLABEL (“token”)
PLT.YLabel (“Value”)
PLT.Title (“Performance token”)
Counter.show ()
Close the web3 connection
W3EXIT ()
``
With this guide, it is now necessary to provide a complete solution to explore BSC tokens using the web3py and “BSC-Token-Explorer” directory. By following these steps, you can effectively get the information available from the bep-20s Taken available on the Binance intelligent chain.