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First, we import the necessary Python libraries.
import json
import requests
import pandas as pd
Using the AlphaWave Data Stock Prices API, we can get the Historical Daily Prices for a given stock symbol. To call this API with Python, you can choose one of the supported Python code snippets provided in the API console. Here is an example of how to invoke the API with Python Requests.
url = "https://stock-prices2.p.rapidapi.com/api/v1/resources/stock-prices/1y"
querystring = {"ticker":"AAPL"}
headers = {
'x-rapidapi-host': "YOUR_X-RAPIDAPI-HOST_WILL_COPY_DIRECTLY_FROM_RAPIDAPI_PYTHON_CODE_SNIPPETS",
'x-rapidapi-key': "YOUR_X-RAPIDAPI-KEY_WILL_COPY_DIRECTLY_FROM_RAPIDAPI_PYTHON_CODE_SNIPPETS"
}
prices_response = requests.request("GET", url, headers=headers, params=querystring)
# Create Historical Daily Prices DataFrame
prices_df = pd.DataFrame.from_dict(prices_response.json())
prices_df = prices_df.transpose()
prices_df
Thatโs it!
Now you have the Historical Daily Prices in a pandas DataFrame for a given stock symbol (AAPL in this example).