diff --git a/t sql/Making API Requests - Insert.sql b/t sql/Making API Requests - Insert.sql
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+DECLARE @token INT;
+DECLARE @ret INT;
+DECLARE @url NVARCHAR(MAX);
+DECLARE @apiKey NVARCHAR(32);
+DECLARE @json AS TABLE(Json_Table NVARCHAR(MAX))
+
+-- Set the API Key, I'm just grabbing it from another table in my Database.
+SET @apiKey = (SELECT api_key FROM [SigmaCodingDatabase].[dbo].[API_Services] WHERE service_name = 'Alpha Vantage')
+SET @url = 'https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol=MSFT&interval=5min&datatype=json&apikey=' + @apikey
+
+-- This creates the new object.
+EXEC @ret = sp_OACreate 'MSXML2.XMLHTTP', @token OUT;
+IF @ret <> 0 RAISERROR('Unable to open HTTP connection.', 10, 1);
+
+-- This calls the necessary methods.
+EXEC @ret = sp_OAMethod @token, 'open', NULL, 'GET', @url, 'false';
+EXEC @ret = sp_OAMethod @token, 'send'
+
+-- Grab the responseText property, and insert the JSON string into a table temporarily. This is very important, if you don't do this step you'll run into problems.
+INSERT into @json (Json_Table) EXEC sp_OAGetProperty @token, 'responseText'
+
+-- What this section does is take the same query from the last tutorial, `Making API Requests` and does an insert into a Non-Existing table.
+SELECT
+
+	[Time_Series_Metadata].[2. Symbol] AS Ticker_Symbol,
+	[Time_Series_Metadata].[4. Interval] AS Time_Interval,
+	[Time_Series_Date].[key] AS Date_ID,
+	[PriceData].[1. open] AS Open_Price,
+    [PriceData].[2. high] AS High_Price,
+    [PriceData].[3. low] AS Low_Price,
+    [PriceData].[4. close] AS Close_Price,
+    [PriceData].[5. volume] AS Voume
+
+-- This is all I have to add to insert into a non-existing table.
+INTO [dbo].[JSONData]
+FROM OPENJSON((SELECT * FROM @json))
+
+-- At the highest level we have two parts, the `Meta Data` and the `Time Series (5min)` dictionaries.
+WITH (
+	[Time Series (5min)] NVARCHAR(MAX) AS JSON,
+	[Meta Data] NVARCHAR(MAX) AS JSON
+) AS  MetaData
+
+-- Parse the Metadata
+CROSS APPLY OPENJSON([MetaData].[Meta Data])
+WITH(
+    [1. Information] NVARCHAR(MAX),
+    [2. Symbol] NVARCHAR(MAX),
+    [3. Last Refreshed"] NVARCHAR(MAX),
+    [4. Interval] NVARCHAR(MAX),
+    [5. Output Size] NVARCHAR(MAX),
+    [6. Time Zone] NVARCHAR(MAX)
+) AS Time_Series_Metadata
+
+-- The tricky part, we need to go through each time series JSON array, and grab the key, value, and type.
+CROSS APPLY OPENJSON([MetaData].[Time Series (5min)]) AS Time_Series_Date
+
+-- Then take ONLY THE VALUE part and parse it further, as this is where the data is.
+CROSS APPLY OPENJSON([Time_Series_Date].[value])
+WITH(
+	
+    [1. open] NVARCHAR(MAX),
+    [2. high] NVARCHAR(MAX),
+    [3. low] NVARCHAR(MAX),
+    [4. close] NVARCHAR(MAX),
+    [5. volume] NVARCHAR(MAX)
+
+) AS PriceData
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