1. Go to the Oura Developer Portal (https://cloud.ouraring.com/docs/).
2. Sign up for an account if you don't already have one.
3. Create a new application to obtain your client ID and client secret.
4. Note down the redirect URI you set, as it will be used in the authorization process.

1. Direct the user to the authorization URL, which will look something like this:
  ```
  https://cloud.ouraring.com/oauth/authorize?response_type=code&client_id=YOUR_CLIENT_ID&redirect_uri=YOUR_REDIRECT_URI&scope=email personal daily
  ```
2. The user will log in with their Oura account and authorize your application.
3. The user will be redirected to your redirect URI with a `code` parameter in the URL.
4. Exchange the authorization code for an access token by making a POST request to `https://api.ouraring.com/oauth/token` with the following parameters:
  - `grant_type`: "authorization_code"
  - `code`: The authorization code you received
  - `redirect_uri`: Your redirect URI
  - `client_id`: Your client ID
  - `client_secret`: Your client secret

‍

1. Use the access token to make authenticated requests to the Oura API endpoints.
2. Choose the endpoint you want to fetch data from (e.g., `https://api.ouraring.com/v1/userinfo`, `https://api.ouraring.com/v1/sleep`, etc.).
3. Make a GET request to the endpoint with the Authorization header:
  ```
  Authorization: Bearer YOUR_ACCESS_TOKEN
  ```

4. Parse the JSON response to extract the data you need.

1. Define the CSV headers based on the data structure you received from Oura.
2. Iterate over the data and map each entry to the corresponding CSV columns.
3. Handle any data conversion that might be necessary (e.g., converting timestamps to a readable format).

1. Open a new CSV file in write mode using a programming language of your choice (e.g., Python).
2. Write the headers to the first row of the CSV.
3. Write the data rows to the CSV file.
4. Close the file to ensure all data is saved properly.

Example in Python

Here's a simplified Python example that demonstrates the steps above:

```python
import requests
import csv

# Replace with your actual access token
access_token = 'YOUR_ACCESS_TOKEN'

# Oura API endpoint for sleep data
endpoint = 'https://api.ouraring.com/v1/sleep'

# Set up headers for authorization
headers = {
   'Authorization': f'Bearer {access_token}'
}

# Make the GET request
response = requests.get(endpoint, headers=headers)

# Check if the request was successful
if response.status_code == 200:
   sleep_data = response.json()

   # Define your CSV headers based on the JSON structure
   headers = ['date', 'duration', 'total', 'awake', 'rem', 'deep', 'light']

   # Open a new CSV file
   with open('oura_sleep_data.csv', 'w', newline='') as csvfile:
       writer = csv.writer(csvfile)
       
       # Write the header
       writer.writerow(headers)

       # Write the data rows
       for entry in sleep_data['sleep']:
           writer.writerow([
               entry['summary_date'],
               entry['duration'],
               entry['total'],
               entry['awake'],
               entry['rem'],
               entry['deep'],
               entry['light']
           ])
else:
   print('Failed to fetch data:', response.status_code)
```

Remember to replace `'YOUR_ACCESS_TOKEN'` with your actual token and adjust the CSV headers based on the actual data structure returned by Oura.

1. Add error handling to your script to manage situations like API rate limits, expired tokens, or unexpected data formats.
2. Log errors and exceptions as they occur to make debugging easier.

1. Test your script thoroughly to ensure it handles various data scenarios and errors gracefully.
2. Validate the CSV output to ensure the data is correctly formatted and complete.

By following these steps, you should be able to successfully move data from Oura to a CSV file without using third-party connectors or integrations.