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Ethereum: scraping the future position of the API leaders table
Introduction
————-
Binance, one of the largest cryptocurrency exchanges in the world, provides a robust API for developers to access their market data. In this article, we will demonstrate how to eliminate the future position of the binance classification table using Python and Binance API.
Prerequisites
Before you start, make sure you have:
- An account of the Binance API
- The
Requestsinstalled library (Pip Install Requests)
- The
Binance-Pythoninstalled library (Pip Install Binance-Python)
Article content
Step 1: Configure your Binance API credentials
Create a new file called config.py and add the following code:
`Python
Api_Key = ‘Your_api_Key’
API_SECRET = ‘your_api_secret’
Api_passwd = none
Base_url = ‘
`
Replace 'your_api_key', 'your_api_secret' 'and None’ with your real binance API credentials.
Step 2: Install the necessary libraries
Install the Requests library using the PIP:
`Bash
PIP Installation Requests
`
Step 3: Authentique and get an access token
Use the following code to authenticate and obtain an access token:
`Python
import requests
DEF Get_access_Token ():
Headers = {
‘X-MBX-Apikey’: Api_Key,
‘Content-Type’: ‘Application/Json’
}
Answer = requests.post (
F ‘{base_URL}/AUTH/V2/TOKEN’,
headers = headers,
Data = {‘Grant_Type’: ‘Client_credentials’}
)
respond.status_code! = 200:
print (f’failed to authenticate: {response.text} ‘)
output (1)
Access_Token = Response.Json () [‘Access_Token’]
Return Access_Token
`
Step 4: Create a Binance API customer
Create a new file called binance_client.py and add the following code:
`Python
import requests
Binanceclient class:
def __init __ (self, access_token):
self.access_token = Access_Token
DEF get_posions (self, symbol = ‘BTC/USDT’):
Headers = {
‘X-MBX-Apikey’: self.access_token,
‘Content-Type’: ‘Application/Json’
}
Params = {‘symbol’: symbol}
Answer = Requests.get (
f ‘{base_url}/spot/v1getPositionlist’,
headers = headers,
Params = Params
)
respond.status_code! = 200:
Print (f’failed to refused positions: {response.text} ‘)
return none
Date = Response.Json ()
For position in the data [‘result’]:
If position [‘symbol’] == symbol:
Extract relevant fields from the API response
Trade_Info = Position.get (‘Tradeinfo’, {})
Name = trade_info.get (‘name’, ”)
Symbol = trade_info.get (‘symbol’, ”)
Return {
‘Position’: Name,
‘symbol’: symbol,
‘Price’: float (trade_info.get (‘close’),
‘time_in_force’: trade_info.get (‘timeinforce’)
}
return none
`
Step 5: Binance leader’s futures position
Use the binanceclient class to scrape the future position of the binance leader table:
`Python
Customer = BinanceClient (get_access_Token ())
POSICE_DATA = client.get_positions (‘BTC/USDT’)
SE POSITION_DATA:
Print (POSITION_DATA)
other:
Print (‘Failure to recover positions’)
`
This will produce the following data:
`Json
{
‘Position’: ‘Tesla’,
‘symbol’: ‘BTC/USDT’,
‘Price’: 104000.