In this post, I will go through how to use Microsoft Azure Cognitive Services to create a Custom Bing Search app in Visual Studio.
The first thing you will need is to create a custom search instance and get API keys. Once you have done that, create a new console app in Visual Studio:
You will see:
Add NewtonSoft.Json through NuGet:
Add the code. This is built on the example here.
namespace bing_custom_search_example_dotnet |
static void Main(string[] args) |
var subscriptionKey = "yourkey"; |
var customConfigId = "yourcustomconfigid"; |
var searchTerm = args.Length > 0 ? args[0] : "Hello World"; |
var url = "https://api.cognitive.microsoft.com/bingcustomsearch/v7.0/search?" + |
"&customconfig=" + customConfigId; |
var client = new HttpClient(); |
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", subscriptionKey); |
var httpResponseMessage = client.GetAsync(url).Result; |
var responseContent = httpResponseMessage.Content.ReadAsStringAsync().Result; |
BingCustomSearchResponse response = JsonConvert.DeserializeObject<BingCustomSearchResponse>(responseContent); |
for (int i = 0; i < response.webPages.value.Length; i++) |
var webPage = response.webPages.value[i]; |
Console.WriteLine("name: " + webPage.name); |
Console.WriteLine("url: " + webPage.url); |
Console.WriteLine("displayUrl: " + webPage.displayUrl); |
Console.WriteLine("snippet: " + webPage.snippet); |
Console.WriteLine("dateLastCrawled: " + webPage.dateLastCrawled); |
public class BingCustomSearchResponse |
public string _type { get; set; } |
public WebPages webPages { get; set; } |
public string webSearchUrl { get; set; } |
public int totalEstimatedMatches { get; set; } |
public WebPage[] value { get; set; } |
public string name { get; set; } |
public string url { get; set; } |
public string displayUrl { get; set; } |
public string snippet { get; set; } |
public DateTime dateLastCrawled { get; set; } |
public string cachedPageUrl { get; set; } |
public OpenGraphImage openGraphImage { get; set; } |
public class OpenGraphImage |
public string contentUrl { get; set; } |
public int width { get; set; } |
public int height { get; set; } |
Run the program. You will see the API returns posts that contain the words “Hello World”:
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