5/29/2023 0 Comments Json query for rest apis![]() Other operations may require different permissions. ![]() If an operation is available to GitHub Apps, the REST reference documentation for that operation will say "Works with GitHub Apps." The REST API operations used in this article require issues read and write permissions for GitHub Apps. If you want to use the API on behalf of an organization or another user, GitHub recommends that you use a GitHub App. For more information about creating a personal access token, see " Creating a personal access token." Other operations may require different scopes or permissions. The REST API operations used in this article require repo scope for personal access tokens (classic) or, unless otherwise noted, read-only access to public repositories for fine-grained personal access tokens. If you want to use the GitHub REST API for personal use, you can create a personal access token. You can authenticate your request by adding a token. For the full reference documentation for this operation, see " Meta."Īlthough some REST API operations are accessible without authentication, you must authenticate to GitHub CLI in order to use the api subcommand. For example, the "Get Octocat" operation uses the GET method and the /octocat path. To make a request, first find the HTTP method and the path for the operation that you want to use. For more information, see the REST reference documentation.įor more information about GitHub's APIs, see " About GitHub's APIs." Making a request It also displays example requests and responses for each operation. The REST API reference documentation describes the HTTP method, path, and parameters for every operation. The API will return the response status code, response headers, and potentially a response body. Additionally, you might also specify request headers and path, query, or body parameters. When you make a request to the REST API, you will specify an HTTP method and a path. For a quickstart guide, see " Quickstart for GitHub REST API." We can then pass the list to the Table.AddColumn method that we had from our previous step.This article describes how to use the GitHub REST API using GitHub CLI, JavaScript, or curl. Finally we use the first row as the header. Then we filter down the rows to remove the null values. Reading the list of locations from the location range is a multi-step process. InsertedResults = Table.AddColumn(#"Promoted Headers", "Results", each WeatherApi.Results()), #"Promoted Headers" = Table.PromoteHeaders(#"Filtered Rows", ), #"Filtered Rows" = Table.SelectRows(Locations, each null and ""), As Power BI also supports Power Query, you can also use these same concepts to import data into Power BI. Now that we have our Weather API query, we can start creating the Power Query script that will import the data into Excel. Here is sample of the data: Example JSON output of the Weather APIįor full documentation on this Weather API, head over to the full Timeline Weather API documentation. The above API request returns JSON formatted data. The items in bold are parameters for the location, date range and units of measurement – we will add a way for the user to modify these easily. Paris,France/ /?unitGroup= us&key= YOUR_API_KEY Here’s the sample weather API request we will model our Power Query Script around: We will be using the Timeline Weather API that provides seamless access to historical and forecast weather. In addition to creating your account, you can also create sample Weather API queries. To do this, head over to the Weather Data Services page. Before we can use the API, we have to create a free account. This free API provides simple access to historical weather data as well as weather forecast. We are going to use the Visual Crossing Weather API. Step 1 – Choose an API and create a sample query Add parameters to the Power Query script so that we can make changes in Excel and have the data update automatically.Add a loop around multiple locations to demonstrate how to append multiple tables together.Create a Power Query script in Microsoft Excel to import the data and create a table.Choose a Weather API and create a sample query.Steps to import JSON data from RESTful API into Microsoft Excel To download the example workbook for this guide, please see the sample in our code repository at: We are also going to explain how to create a loop within our script so that we can call the API multiple times for multiple locations and create a combined result table in our Excel worksheet. This article shows how to import data into Microsoft Excel using Power Query from a RESTful Weather API.
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