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Ethereum: Fetching more data from binance using python loop

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

Ethereum: Fetching more data from binance using python loop

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_klinesmethod 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 theCandleslist.

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.

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