Fetching More Data From Binance Using Python Loop
To fetch more than 500 rows of historical data from the Binance website, you can use a while loop to continuously call the API until you've fetched all the data. HERE'S AN EXAMPLE CODE SNIPPET THAT DEMONSTRATES How to do this:
python
Import Binance
Initialize the client and set up API Credentials
client = Binance.client.client (
api_key = 'your_api_key',
api_secret = 'your_api_secret'
)
Define a function to fetch historical data
def fetch_historical_data (symbol, interval):
Set the Time Frame for the Fetch Request
Start_Time = DateTime.now () - Timedelta (Days = Interval * 30)
Create A List To Store The Candles
candles = []
Loop Until We've Fetched All The Data
While True:
Try:
Fetch The Historical Data
Response = client.get_klines (symbol, start_time.timestamp (), interval)
Add the New Candles to the List
for candle in response [0]:
Candles.Append (Candle [1])
If we've fetched all the data, break out of the loop
If Len (Response) <= 500:
break
Except Binance.exceptions.clientException as E:
Print (f "Error Fetching Data: {e}")
Continue
return candles
Example Usage
Symbol = 'btcusdt'
replace with your desired symbol
interval = '1m'
1-minute interval
candles = fetch_historical_data (symbol, interval)
In this code:
- We initialize the Binance Client and set up API Credentials.
- We define a function
fetch_historical_data 'that takes in a symbol and an interval (e.g.,' 1m 'for 1-minute interval).
- Inside the loop, we fetch the historical data using theGet_klines
method with the specified start time, interval, and symbol.
- We add each new candle to a list calledcandles
.
- If we've fetched all 500 rows of data (i.e.,len (response) <= 500
), we break out of the loop.
- Finally, we return theCandles
list.
tips and variations
- To fetch more than 1000 rows at a time, you can modify thefetch_historical_data ‘function to use a larger interval (e.g.,’ 1h ‘for 1-hour interval).
- If you want to fetch data in real-time, you’ll need to use a different approach. One option is to use the
Get_orderbook
method with an API key and access token.
- Make sure to handle errors and exceptions properly in your product code.
Note : The above code uses python 3.X Syntax. If you’re using python 2.x, you’ll need to modify the import statements and error handling accordingly.