Tecnología

Cómo usar VBA de Excel para consultar las API JSON de REST

By 6 Mins Read

Excel es probablemente una de las herramientas más utilizadas en este mundo, por lo que la demanda de integraciones con hojas de cálculo extremadamente complejas es un escenario recurrente. Las API permiten una facilidad de acceso a la información en los sistemas, que se está volviendo cada vez más estándar en el mercado, con esto en mente, algunas demandas de conexión a sistemas a través de API en Excel son necesarias y muy útiles, así que decidí compartir un poco de cómo creé esta integración. Aprendamos a consultar las API de Rest mediante VBA y convertir el resultado en JSON que se usará en la hoja de cálculo.

Este artículo espera que conozca los conceptos básicos de Excel y VBA, así como qué es una API y cómo funciona. Nuestro objetivo será consultar una API pública de Pokemons y enumerar el resultado en la pestaña Resultados.

Creación de una hoja de cálculo en blanco

Primero vamos a crear una hoja de trabajo en blanco con la macro habilitada, dentro de ella crearé una pestaña llamada resultados.

Hoja de cálculo de Excel

Creación de la macro para consultar la API

Por el acceso directo alt + f11 abriremos el editor de macros de Excel y crearemos un módulo llamado ListPokemons.

Macro VBA

Importación de la biblioteca VBA-JSON

Como la API que consultamos devuelve un JSON como respuesta, necesitaremos importar la biblioteca JSON de VBA, se encargará de todo el trabajo aburrido de traducir el JSON y devolver como una matriz y un objeto. La instalación es bastante simple, sólo tiene que descargar la última versión aquí y en el editor de macros ir en archivo > Importar archivo > JsonConverter.bas.

Importar JSON de VBA

Habilitación de Microsoft Scripting Runtime

También necesitamos habilitar Microsoft Scripting Runtime, así que simplemente examine Herramientas > Referencias y examine y habilite el tiempo de ejecución de secuencias de comandos de microsoft en la lista.

Excel API Rest Microsoft Scripting Runtime

Creación de la macro VBA para consultar la API REST

A continuación tenemos el código completo de nuestra solicitud, puede parecer aterrador, pero no te preocupes, te explicaré lo que cada parte está haciendo:

Sub listPokemons()
Dim json As String
Dim jsonObject As Object, item As Object
Dim i As Long
Dim ws As Worksheet
Dim objHTTP As Object

«Seleccionamos nuestra hoja de cálculo de resultados
Set ws - Hojas de trabajo ("resultados")

"Creamos nuestro objeto de la requistación y enviamos
Set objHTTP á CreateObject("WinHttp.WinHttp.5.1")
URL: "https://pokeapi.co/api/v2/pokemon"
objHTTP.Open "GET", URL, False
objHTTP.Send
strResult á objHTTP.responseText
json - strResult

Set objectJson á JsonConverter.ParseJson(json)

«Creamos las celdas de encabezado
Ws. Células(1, 1) - "nombre"
Ws. Células(1, 2) - "enlace"

«En bucle la propiedad results de la respuesta de la API
i 2 'Vamos a iniciar el contador en la línea 2
Para cada pokemon In objectJson("results")
    Ws. Células(i, 1) - pokemon("name")
    Ws. Cells(i, 2) á pokemon("url")
    i i + 1
Siguiente

End Sub

Primero definimos todas las variables que usaremos en nuestros scripts, incluida la importación de la biblioteca JSON de VBA que importamos anteriormente en nuestro proyecto.

Dim json As String
Dim jsonObject As Object, item As Object
Dim i As Long
Dim ws As Worksheet
Dim xmlhttp As Object
Set xmlhttp á CreateObject("MSXML2.serverXMLHTTP")
Dim objHTTP As Object

A continuación seleccionamos la hoja de cálculo que queremos mostrar los resultados de la consulta de API, en nuestro caso Hojas de trabajo ("resultados") y luego creamos un objeto que nos permitirá realizar la solicitud para la API https://pokeapi.co/api/v2/pokemon. Tomaremos la respuesta y la pondremos en la variable json, por ahora no es más que un texto.

«Seleccionamos nuestra hoja de cálculo de resultados
Set ws - Hojas de trabajo ("resultados")

"Creamos nuestro objeto de la requistación y enviamos
Set objHTTP á CreateObject("WinHttp.WinHttp.5.1")
URL: "https://pokeapi.co/api/v2/pokemon"
objHTTP.Open "GET", URL, False
objHTTP.Send
strResult á objHTTP.responseText
json - strResult

Aquí ocurre la magia, la función ParseJson de la biblioteca VBA JSON convierte el texto de nuestra variable json en un objeto accesible en nuestro script. Ahora podemos acceder a todas las propiedades mediante programación en nuestro código.

Set objectJson á JsonConverter.ParseJson(json)

Ahora que tenemos el resultado de nuestra API accesible, creamos en la primera fila de la hoja de trabajo el encabezado que contiene las columnas de nombre y vínculo.

«Creamos las celdas de encabezado
Ws. Células(1, 1) - "nombre"
Ws. Células(1, 2) - "enlace"

Ahora, antes de analizar el script, necesitamos comprender el resultado de la API. Si abre el enlace https://pokeapi.co/api/v2/pokemon en su navegador verá el siguiente resultado:

{
  "count": 964,
  "next": "https://pokeapi.co/api/v2/pokemon?offset=20&limit=20",
  "anterior": nulo,
  "resultados": [
    {
      "name": "bulbasaur",
      "url": "https://pokeapi.co/api/v2/pokemon/1/"
    },
    {
      "name": "ivysaur",
      "url": "https://pokeapi.co/api/v2/pokemon/2/"
    },
    {
      "name": "venusaur",
      "url": "https://pokeapi.co/api/v2/pokemon/3/"
    },
    {
      "name": "charmander",
      "url": "https://pokeapi.co/api/v2/pokemon/4/"
    },
    {
      "name": "charmeleon",
      "url": "https://pokeapi.co/api/v2/pokemon/5/"
    },
    {
      "name": "charizard",
      "url": "https://pokeapi.co/api/v2/pokemon/6/"
    },
    {
      "name": "Squirtle",
      "url": "https://pokeapi.co/api/v2/pokemon/7/"
    },
    {
      "name": "wartortle",
      "url": "https://pokeapi.co/api/v2/pokemon/8/"
    },
    {
      "name": "blastoise",
      "url": "https://pokeapi.co/api/v2/pokemon/9/"
    },
    {
      "name": "caterpie",
      "url": "https://pokeapi.co/api/v2/pokemon/10/"
    },
    {
      "name": "metapod",
      "url": "https://pokeapi.co/api/v2/pokemon/11/"
    },
    {
      "name": "libre de mantequilla",
      "url": "https://pokeapi.co/api/v2/pokemon/12/"
    },
    {
      "name": "weedle",
      "url": "https://pokeapi.co/api/v2/pokemon/13/"
    },
    {
      "name": "kakuna",
      "url": "https://pokeapi.co/api/v2/pokemon/14/"
    },
    {
      "name": "beedrill",
      "url": "https://pokeapi.co/api/v2/pokemon/15/"
    },
    {
      "name": "pidgey",
      "url": "https://pokeapi.co/api/v2/pokemon/16/"
    },
    {
      "name": "pidgeotto",
      "url": "https://pokeapi.co/api/v2/pokemon/17/"
    },
    {
      "name": "pidgeot",
      "url": "https://pokeapi.co/api/v2/pokemon/18/"
    },
    {
      "name": "rattata",
      "url": "https://pokeapi.co/api/v2/pokemon/19/"
    },
    {
      "name": "raticate",
      "url": "https://pokeapi.co/api/v2/pokemon/20/"
    }
  ]
}

Estamos interesados en los propertyresults, una matriz que contiene una lista de pokemons con sus respectivos nombres y enlaces a más detalles. Accederemos a esta matriz en json object ("results") y loop para mostrar cada pokemon resultado en una nueva fila en nuestra tabla.

«En bucle la propiedad results de la respuesta de la API
i 2 'Vamos a iniciar el contador en la línea 2
Para cada pokemon In objectJson("results")
    Ws. Células(i, 1) - pokemon("name")
    Ws. Cells(i, 2) á pokemon("url")
    i i + 1
Siguiente

Si todo sucede como se esperaba, al presionar f5 para rotar nuestra macro, en su hoja de cálculo debería ver el siguiente resultado:

Resto de la API de Excel

Conclusión

Este fue un ejemplo muy sencillo de consulta, con el objeto HTTP es posible realizar todo tipo de solicitudes, GET, POST, UPDATE, … Lo interesante es entender cómo se realiza la solicitud y cómo puede mostrar el resultado, gracias a la biblioteca JSON de VBA, que ya reduce drásticamente el trabajo requerido. Ahora sólo tiene que adaptar este flujo y script a su necesidad.

5 2 votos
Nota do Artigo
Author

Related Posts

Subscribe
Notify of
guest

5 Comentários
newest
oldest most voted
Inline Feedbacks
View all comments
Norma Araceli Cruz Vega
Norma Araceli Cruz Vega
4 anos atrás

Hola tengo una macro en Outlook que ejecuta Post y Get para Json, para cierto tipo de correos con un subject determinado, esta funciona bien la primera vez, pero la segunda envía error “403 – Invalid CSRF token “null” was found on the request parameter “_csrf” or header”. Por alguna razón no “libera” la conexión por lo que al hacer un segundo llamado el “token” no está disponible. Tiene alguna idea que me puedan ayudar para solucionar este problema… Gracias

0
Responder
Josue Vargas
Josue Vargas
4 anos atrás

por si a alguien no le funcionò adicional a las instrucciones dadas, es necesario hacer lo sisguiente: En el editor de vba van a la seccion herramientas / Referencias / Alli deben agregar (activar ) el Microsoft WinHttp Services , version 5.1 Tambien en la linea donde se crea el objeto Http se debe especificar que va a ser un Request. En fin el codigo quedaria asi para que les funcione en caso de que les de error: Sub listPokemons() Dim json As String Dim jsonObject As Object, item As Object Dim i As Long Dim ws As Worksheet Dim… Read more »

3
Responder
Josue Vargas
Josue Vargas
Reply to  Josue Vargas
4 anos atrás

data:image/png;base64,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

0
Responder
Sergio
Sergio
4 anos atrás

Hola Henrique!

Estaba haciendo una prueba ya que estoy interesado en consumir una API desde excel y con este tutorial ha sido una gran forma de empezar a realizar pruebas… el problema que tengo es que cada vez que intento ejecutar la macro, me da error de sintaxis.

Saludos.

0
Responder
Jose Alvarez
Jose Alvarez
Reply to  Sergio
2 anos atrás

Intenta con este, a mi me funcionó así:

Sub listPokemons()
 Dim json As String
 Dim jsonObject As Object, item As Object
 Dim i As Long
 Dim ws As Worksheet
 Dim objHTTP As Object
  
 Set ws = Worksheets(«Resultados»)
  

 Set objHTTP = CreateObject(«WinHttp.WinHttpRequest.5.1»)
 URL = «https://pokeapi.co/api/v2/pokemon»
 objHTTP.Open «GET», URL, False
 objHTTP.Send
 strResult = objHTTP.ResponseText
 json = strResult
  
 Set objectJson = JsonConverter.ParseJson(json)
  
 ws.Cells(1, 1) = «nombre»
 ws.Cells(1, 2) = «enlace»

 i = 2
 For Each pokemon In objectJson(«results»)
  ws.Cells(i, 1) = pokemon(«name»)
  ws.Cells(i, 2) = pokemon(«url»)
  i = i + 1
  Debug.Print i
 Next
 
End Sub

1
Responder
5
0
Would love your thoughts, please comment.x