prompter: How do I write a GET request for an API using Power BI and python?

assistant: import requests

# API endpoint
url = "https://api.example.com/endpoint"

# Send the GET request
response = requests.get(url)

# Check if the request was successful
if response.status_code == 200:
    # Print the data from the API
    print(response.json())
else:
    # Print an error message
    print("Error:", response.status_code)

In this example, the requests.get() function is used to send the GET request to the API endpoint. The response variable contains the API response, which can be parsed using the response.json() method. The response.status_code property can be used to check if the request was successful (status code 200 indicates success, while any other code indicates an error).

assistant: You can use the requests library to make HTTP GET requests from Python. It would look something like this:
import requests

response = requests.get('https://example.com/api/ endpoint')

Then, in Power BI, you would:

Install the Python visual
Add a Python script visual to your report
Paste in the code above (editing the URL as needed)
Select the response variable to output from the visual

This will make the GET request when the report is refreshed, and show you the response data in the visual.
So the key steps are:

Use requests to make the GET call in Python
Output the response data from the Python script
Display the data in the Python visual

assistant: To make a GET request for an API using Power BI and Python, you can use the requests library. Here is an example of how to use the requests library to make a GET request:

import requests

url = 'https://www.example.com'

response = requests.get(url)

if response.status_code == 200:
    # do something with the response

prompter: That response does not mention Power BI. Can you please include PowerBI in your response?

assistant: Indeed, my previous response did not address Power BI specifically. In Power BI, you can use Python to make a GET request for an API. Here is an example of how to do so:
1 - Open Power BI and click on "Get Data".
2 - Select "Python Script" and click "Connect".
3 - Enter the URL of the API endpoint you wish to access in the Python script window.
4 - Use the requests library to make a GET request and store the response in a variable.
5 - Parse the data from the response and load it into a Power BI table.

Here is an example code snippet:

import requests
import pandas as pd

url = 'https://www.example.com/api/data'
response = requests.get(url)

if response.status_code == 200:
data = response.json()
df = pd.DataFrame(data)
# Load the data into a Power BI table

assistant: Indeed, my response was less than complete. In Power BI you can use Python to make a GET request for an API. Another great way to make GET requests within Power BI is using the Power BI Rest API to push data from Json file into a Power BI dataset.

prompter: Give me an example of the code I could copy and paste into Power BI

assistant: Sure! Here's an example of how to use Python to make a GET request in Power BI:

Open Power BI and create a new report.
Click on "Transform data" to open the Power Query Editor.
Click on "Python" in the "Transform" tab.
Paste the following code into the Python script editor:

# Import the requests library
import requests

# Set the URL for the API endpoint
url = "https://api.example.com"

# Make a GET request to the API endpoint
response = requests.get(url)

# If the request was successful, convert the response to a table
if response.status_code == 200:
    table = response.json()

Click "OK" to run the Python script.
This code will make a GET request to the specified URL and convert the response to a table. You can then use this table in your Power BI report as a data source.

Note: You will need to have the requests library installed in your Python environment to use it in Power BI. You can install it by running !pip install requests in a Python notebook or command prompt.

assistant: To use this script in Power BI, follow these steps:

1. Save the script as a .py file on your local machine.
2. In Power BI, select "Get Data" from the Home tab in the ribbon.
3. Choose "Python script" from the list of data sources.
4. Browse for the script file and select it.
5. Follow the prompts to configure the script parameters and output settings.
6. Click "OK" to run the script and retrieve the data.


Once the script has been imported into Power BI, you can use the retrieved data in your visualizations and reports.

assistant: let
    Source = Python.Execute("import requests
url = 'https://www.example.com'
response = requests.get(url)
print(response.text)"),
    Output = Source{[Name="Output"]}[Value]
in
    Output

assistant: To make a GET request for an API using Power BI and Python, you can use the requests library and the Power BI REST API. Here is an example of how to use the requests library to make a GET request to the Power BI REST API:

import requests

url = "https://api.powerbi.com/v1.0/myorg/datasets/{dataset_id}"

header = {
    "Authorization": "Bearer {access_token}",
    "Content-Type": "application/json"
}

response = requests.get(url, headers=header)

if response.status_code == 200:
    # do something with the response


In this example, the url variable is the endpoint for the Power BI REST API, where {dataset_id} is the unique identifier for the dataset you want to retrieve information for. The header variable contains the necessary authorization information, including the access_token for the Power BI API. The requests.get() method is used to send the GET request to the API and retrieve the response, which can then be processed and used as needed.