Binance python how to get futures symbol data

When working with Binance’s API in Python, you may come across the need to retrieve futures symbol data. This can be useful for various purposes, such as analyzing market trends or making trading decisions. In this article, we will explore three different ways to achieve this goal.

Option 1: Using the Binance API Python Library

The Binance API Python library provides a convenient way to interact with Binance’s API. To get futures symbol data using this library, you can follow these steps:

from binance.client import Client

# Initialize the Binance client
client = Client(api_key, api_secret)

# Get futures symbol data
symbol_data = client.futures_symbol_price_ticker(symbol='BTCUSDT')


In this code snippet, we first import the necessary module from the Binance API Python library. Then, we initialize the Binance client by providing your API key and secret. Finally, we use the futures_symbol_price_ticker method to retrieve the symbol data for the specified symbol, in this case, ‘BTCUSDT’.

Option 2: Making a GET Request

If you prefer a more direct approach without using a library, you can make a GET request to Binance’s API endpoint to retrieve the futures symbol data. Here’s an example:

import requests

# Define the API endpoint
url = ''

# Define the symbol parameter
params = {'symbol': 'BTCUSDT'}

# Make the GET request
response = requests.get(url, params=params)

# Get the symbol data from the response
symbol_data = response.json()


In this code snippet, we use the requests library to make a GET request to the Binance API endpoint. We specify the symbol parameter in the request URL and retrieve the symbol data from the response in JSON format.

Option 3: Using the Binance WebSocket API

If you require real-time updates for the futures symbol data, you can utilize the Binance WebSocket API. Here’s an example of how to achieve this:

from binance.websockets import BinanceSocketManager

# Initialize the BinanceSocketManager
bm = BinanceSocketManager(client)

# Define the symbol
symbol = 'btcusdt'

# Define the callback function
def process_message(msg):

# Start the WebSocket connection
conn_key = bm.start_symbol_ticker_socket(symbol, process_message)

# Start the WebSocket manager

# Stop the WebSocket connection

# Close the WebSocket manager

In this code snippet, we first import the necessary module from the Binance WebSocket API. Then, we initialize the BinanceSocketManager by providing the Binance client. We define the symbol for which we want to receive updates and specify a callback function to process the received messages. We start the WebSocket connection, start the WebSocket manager, and finally stop and close the WebSocket connection when we no longer need it.

After exploring these three options, it is clear that using the Binance API Python library (Option 1) is the most convenient and straightforward approach. It provides a higher level of abstraction and handles the underlying API calls for you. However, if you have specific requirements or prefer a more direct approach, you can consider Option 2 or Option 3.

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7 Responses

    1. Option 3 might be enticing, but Option 1 reigns supreme. Python libraries streamline my workflow, leaving more time for real work. #BinancePythonFTW

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