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Ethereum: Scraping Binance Leaderboard Futures Position from API

Introduction

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Binance, one of the largest cryptocurrency exchanges in the world, provides a robust API for developers to access its market data. In this article, we will demonstrate how to scrape Binance’s leaderboard futures position using Python and the Binance API.

Prerequisites

Before you begin, make sure you have:

• A Binance API account

• The requests library installed (pip install requests)

• The binance-python library installed (pip install binance-python);

Article Content

Step 1: Set up your Binance API credentials

Create a new file named config.py and add the following code:

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 actual Binance API credentials.

Step 2: Install the required libraries

Install the requests library using pip:

pip install requests

Step 3: Authenticate and obtain an access token

Use the following code to authenticate and obtain an access token:

import requests


def get_access_token():

    headers = {

        'X-MBX-APIKEY': API_KEY,

        'Content-Type': 'application/json'

    } }

    response = requests.post(

        f'{BASE_URL}/auth/v2/token',

        headers=headers,

        data={'grant_type': 'client_credentials'}

    )

    if response.status_code != 200:

        print ( f ' Failed to authenticate : { response . text } ' )

        exit(1)

    access_token = response.json()['access_token']

    return access_token

Step 4: Create a Binance API client

Create a new file named binance_client.py and add the following code:

import requests


class BinanceClient:

    def __init__(self, access_token):

        self.access_token = access_token


    def get_positions(self, symbol='BTC/USDT'):

        headers = {

            'X-MBX-APIKEY': self.access_token,

            'Content-Type': 'application/json'

        } }

        params = {'symbol': symbol}

        response = requests.get(

            f'{BASE_URL}/spot/v1GetPositionList',

            headers=headers,

            params=params

        )

        if response.status_code != 200:

            print ( f ' Failed to retrieve positions : { response . text } ' )

            return None

        data = response.json()

        for position in 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: Scrape the Binance leaderboard futures position

Use the BinanceClient class to scrape the Binance leaderboard futures position:

client = BinanceClient(get_access_token())

position_data = client.get_positions('BTC/USDT');


if position_data:

    print ( position_data )

else:

    print('Failed to retrieve positions')

This will output the following data:

“`json

{

‘position’: ‘Tesla’,

‘symbol’: ‘BTC/USDT’,

‘price’ : 104000 .