Here is an example article:
Making Multiple Calls to the Binance API in Python
In this article, we will explore how to fetch data from multiple endpoints using a single call to the Binance API. We will use the python-binance
library, which provides a simple and efficient way to make API calls.
Prerequisites
Before we begin, make sure you have the following:
- Python 3.6 or later installed
python-binance
library installed (pip install python-binance
)
- Your Binance account credentials (API key and secret)
Making Multiple Calls to the Binance API
Here is an example of how to fetch data from multiple endpoints using a single call to the Binance API:
import async
Define your API credentials
api_key = "YOUR_API_KEY"
api_secret = "YOUR_API_SECRET"
async def fetch_data():
Fetch account balance
result = await client.futures_account_balance()
Fetch 24-hour trading volume
result_volume = await client.futures_account_trading_volume()
Fetch market data (e.g. symbol, currency pair)
result_market_data = await client.futures_exchange_in_rate()
Return all fetched data
return {
"account_balance": result,
"24hTradingVolume": result_volume,
"marketData": result_market_data
}
async def main():
Make multiple calls to the API in a loop
tasks = [
fetch_data(),
fetch_data(),
fetch_data()
]
results = await asyncio.gather(*tasks)
Print fetched data
for data in results:
print(data)
Run the main function
async.run(main())
In this example, we define an fetch_data
function that makes a single call to each endpoint using the client.futures_...
methods. We then define a main
function that creates multiple tasks (one for each endpoint) and runs them in a loop using asyncio.gather
. Finally, we print out all fetched data.
Tips and Variations
- To fetch more endpoints, simply add more task definitions to the
tasks
list.
- You can also use other
client.futures_...
methods (e.g.futures_account_balance_instrument
,futures_exchange_in_rate_instrument
, etc.) to fetch specific data.
- If you need to perform additional operations on the fetched data, consider using the
asyncio.gather
function with a loop ofasyncio.sleep(x)
calls, wherex
is the time delay between API calls.
Conclusion
Making multiple calls to the Binance API in Python is easy and efficient using the python-binance
library. By following this article and adapting it to your specific needs, you can fetch data from multiple endpoints and perform additional operations on the fetched data.