§Calling REST APIs with Play WS

Sometimes we would like to call other HTTP services from within a Play application. Play supports this via its WS library, which provides a way to make asynchronous HTTP calls through a WSClient instance.

There are two important parts to using the WSClient: making a request, and processing the response. We’ll discuss how to make both GET and POST HTTP requests first, and then show how to process the response from WSClient. Finally, we’ll discuss some common use cases.

Note: In Play 2.6, Play WS has been split into two, with an underlying standalone client that does not depend on Play, and a wrapper on top that uses Play specific classes. In addition, shaded versions of AsyncHttpClient and Netty are now used in Play WS to minimize library conflicts, primarily so that Play’s HTTP engine can use a different version of Netty. Please see the 2.6 migration guide for more information.

§Adding WS to project

To use WSClient, first add ws to your build.sbt file:

libraryDependencies += ws

§Enabling HTTP Caching in Play WS

Play WS supports HTTP caching, but requires a JSR-107 cache implementation to enable this feature. You can add ehcache:

libraryDependencies += ehcache

Or you can use another JSR-107 compatible cache such as Caffeine.

Once you have the library dependencies, then enable the HTTP cache as shown on WS Cache Configuration page.

Using an HTTP cache means savings on repeated requests to backend REST services, and is especially useful when combined with resiliency features such as stale-on-error and stale-while-revalidate.

§Making a Request

Now any component that wants to use WS will have to declare a dependency on the WSClient:

import javax.inject.Inject
import scala.concurrent.Future
import scala.concurrent.duration._

import play.api.mvc._
import play.api.http.HttpEntity

import akka.util.ByteString

import scala.concurrent.ExecutionContext

class Application @Inject() (ws: WSClient) extends Controller {


We’ve called the WSClient instance ws, all the following examples will assume this name.

To build an HTTP request, you start with ws.url() to specify the URL.

val request: WSRequest = ws.url(url)

This returns a WSRequest that you can use to specify various HTTP options, such as setting headers. You can chain calls together to construct complex requests.

val complexRequest: WSRequest =
  request.addHttpHeaders("Accept" -> "application/json")
    .addQueryStringParameters("search" -> "play")

You end by calling a method corresponding to the HTTP method you want to use. This ends the chain, and uses all the options defined on the built request in the WSRequest.

val futureResponse: Future[WSResponse] = complexRequest.get()

This returns a Future[WSResponse] where the Response contains the data returned from the server.

§Request with authentication

If you need to use HTTP authentication, you can specify it in the builder, using a username, password, and an AuthScheme. Valid case objects for the AuthScheme are BASIC, DIGEST, KERBEROS, NTLM, and SPNEGO.

ws.url(url).withAuth(user, password, WSAuthScheme.BASIC).get()

§Request with follow redirects

If an HTTP call results in a 302 or a 301 redirect, you can automatically follow the redirect without having to make another call.


§Request with query parameters

Parameters can be specified as a series of key/value tuples. Use addQueryStringParameters to add parameters, and withQueryStringParameters to overwrite all query string parameters.

ws.url(url).addQueryStringParameters("paramKey" -> "paramValue").get()

§Request with additional headers

Headers can be specified as a series of key/value tuples. Use addHttpHeaders to append additional headers, and withHttpHeaders to overwrite all headers.

ws.url(url).addHttpHeaders("headerKey" -> "headerValue").get()

If you are sending plain text in a particular format, you may want to define the content type explicitly.

  .addHttpHeaders("Content-Type" -> "application/xml")

§Request with cookies

Cookies can be added to the request by using DefaultWSCookie or by passing through play.api.mvc.Cookie. Use addCookies to append cookies, and withCookies to overwrite all cookies.

ws.url(url).addCookies(DefaultWSCookie("cookieName", "cookieValue")).get()

§Request with virtual host

A virtual host can be specified as a string.


§Request with timeout

If you wish to specify a request timeout, you can use withRequestTimeout to set a value. An infinite timeout can be set by passing Duration.Inf.


§Submitting form data

To post url-form-encoded data a Map[String, Seq[String]] needs to be passed into post.

ws.url(url).post(Map("key" -> Seq("value")))

§Submitting multipart/form data

To post multipart-form-encoded data a Source[play.api.mvc.MultipartFormData.Part[Source[ByteString, Any]], Any] needs to be passed into post.

ws.url(url).post(Source.single(DataPart("key", "value")))

To upload a file you need to pass a play.api.mvc.MultipartFormData.FilePart[Source[ByteString, Any]] to the Source:

ws.url(url).post(Source(FilePart("hello", "hello.txt", Option("text/plain"), FileIO.fromPath(tmpFile.toPath)) :: DataPart("key", "value") :: List()))

§Submitting JSON data

The easiest way to post JSON data is to use the JSON library.

import play.api.libs.json._
val data = Json.obj(
  "key1" -> "value1",
  "key2" -> "value2"
val futureResponse: Future[WSResponse] = ws.url(url).post(data)

§Submitting XML data

The easiest way to post XML data is to use XML literals. XML literals are convenient, but not very fast. For efficiency, consider using an XML view template, or a JAXB library.

val data = <person>
val futureResponse: Future[WSResponse] = ws.url(url).post(data)

§Submitting Streaming data

It’s also possible to stream data in the request body using Akka Streams.

For example, imagine you have executed a database query that is returning a large image, and you would like to forward that data to a different endpoint for further processing. Ideally, if you can send the data as you receive it from the database, you will reduce latency and also avoid problems resulting from loading in memory a large set of data. If your database access library supports Reactive Streams (for instance, Slick does), here is an example showing how you could implement the described behavior:

val wsResponse: Future[WSResponse] = ws.url(url)

The largeImageFromDB in the code snippet above is a Source[ByteString, _].

§Request Filters

You can do additional processing on a WSRequest by adding a request filter. A request filter is added by extending the trait, and then adding it to the request with request.withRequestFilter(filter).

A sample request filter that logs the request in cURL format to SLF4J has been added in

  .put(Map("key" -> Seq("value")))

will output:

curl \
  --verbose \
  --request PUT \
 --header 'Content-Type: application/x-www-form-urlencoded; charset=utf-8' \
 --data 'key=value' \

§Processing the Response

Working with the Response is easily done by mapping inside the Future.

The examples given below have some common dependencies that will be shown once here for brevity.

Whenever an operation is done on a Future, an implicit execution context must be available - this declares which thread pool the callback to the future should run in. You can inject the default Play execution context in your DI-ed class by declaring an additional dependency to ExecutionContext in the class’ constructor:

class PersonService @Inject()(ec: ExecutionContext) {
  // ...

The examples also use the following case class for serialization/deserialization:

case class Person(name: String, age: Int)

The WSResponse extends trait, which contains type classes for Play JSON and Scala XML conversion. You can also create your own custom type classes if you would like to convert the response to your own types, or use a different JSON or XML encoding.

§Processing a response as JSON

You can process the response as a JSON object by calling response.json.

val futureResult: Future[String] = ws.url(url).get().map {
  response =>
    (response.json \ "person" \ "name").as[String]

The JSON library has a useful feature that will map an implicit Reads[T] directly to a class:

import play.api.libs.json._

implicit val personReads = Json.reads[Person]

val futureResult: Future[JsResult[Person]] = ws.url(url).get().map {
  response => (response.json \ "person").validate[Person]

§Processing a response as XML

You can process the response as an XML literal by calling response.xml.

val futureResult: Future[scala.xml.NodeSeq] = ws.url(url).get().map {
  response =>
    response.xml \ "message"

§Processing large responses

Calling get(), post() or execute() will cause the body of the response to be loaded into memory before the response is made available. When you are downloading a large, multi-gigabyte file, this may result in unwelcome garbage collection or even out of memory errors.

WS lets you consume the response’s body incrementally by using an Akka Streams Sink. The stream() method on WSRequest returns a streaming WSResponse which contains a bodyAsSource method that returns a Source[ByteString, _]

Note: In 2.5.x, a StreamedResponse was returned in response to a call. In 2.6.x, a standard WSResponse is returned, and the getBodyAsSource() method should be used to return the Source.

Here is a trivial example that uses a folding Sink to count the number of bytes returned by the response:

// Make the request
val futureResponse: Future[WSResponse] =

val bytesReturned: Future[Long] = futureResponse.flatMap {
  res =>
    // Count the number of bytes returned
    res.bodyAsSource.runWith(Sink.fold[Long, ByteString](0L){ (total, bytes) =>
      total + bytes.length

Alternatively, you could also stream the body out to another location. For example, a file:

// Make the request
val futureResponse: Future[WSResponse] =

val downloadedFile: Future[File] = futureResponse.flatMap {
  res =>
    val outputStream = java.nio.file.Files.newOutputStream(file.toPath)

    // The sink that writes to the output stream
    val sink = Sink.foreach[ByteString] { bytes =>

    // materialize and run the stream
    res.bodyAsSource.runWith(sink).andThen {
      case result =>
        // Close the output stream whether there was an error or not
        // Get the result or rethrow the error
    }.map(_ => file)

Another common destination for response bodies is to stream them back from a controller’s Action:

def downloadFile = Action.async {

  // Make the request
  ws.url(url).withMethod("GET").stream().map { response =>
      // Check that the response was successful
      if (response.status == 200) {

        // Get the content type
        val contentType = response.headers.get("Content-Type").flatMap(_.headOption)

        // If there's a content length, send that, otherwise return the body chunked
        response.headers.get("Content-Length") match {
          case Some(Seq(length)) =>
            Ok.sendEntity(HttpEntity.Streamed(response.bodyAsSource, Some(length.toLong), Some(contentType)))
          case _ =>
      } else {

As you may have noticed, before calling stream() we need to set the HTTP method to use by calling withMethod on the request. Here follows another example that uses PUT instead of GET:

val futureResponse: Future[WSResponse] =
  ws.url(url).withMethod("PUT").withBody("some body").stream()

Of course, you can use any other valid HTTP verb.

§Common Patterns and Use Cases

§Chaining WSClient calls

Using for comprehensions is a good way to chain WSClient calls in a trusted environment. You should use for comprehensions together with Future.recover to handle possible failure.

val futureResponse: Future[WSResponse] = for {
  responseOne <- ws.url(urlOne).get()
  responseTwo <- ws.url(responseOne.body).get()
  responseThree <- ws.url(responseTwo.body).get()
} yield responseThree

futureResponse.recover {
  case e: Exception =>
    val exceptionData = Map("error" -> Seq(e.getMessage))

§Using in a controller

When making a request from a controller, you can map the response to a Future[Result]. This can be used in combination with Play’s Action.async action builder, as described in Handling Asynchronous Results.

def wsAction = Action.async {
  ws.url(url).get().map { response =>
status(wsAction(FakeRequest())) must_== OK

§Using WSClient with unreliable networks

If you are doing any blocking work, including any kind of DNS work such as calling java.util.URL.equals(), then you should use a custom execution context as described in ThreadPools, preferably through play.api.libs.concurrent.CustomExecutionContext. You should size the pool to leave a safety margin large enough to account for futures, and consider using play.api.libs.concurrent.Futures and a Failsafe Circuit Breaker.

§Using WSClient with Future Timeout

If a chain of WS calls does not complete in time, it may be useful to wrap the result in a timeout block, which will return a failed Future if the chain does not complete in time – this is more generic than using withRequestTimeout, which only applies to a single request. The best way to do this is with Play’s non-blocking timeout feature, using play.api.libs.concurrent.Futures:

// Adds withTimeout as type enrichment on Future[WSResponse]
import play.api.libs.concurrent.Futures._

val result: Future[Result] =
  ws.url(url).get().withTimeout(1 second).flatMap { response =>
    // val url2 = response.json \ "url"
    ws.url(url2).get().map { response2 =>
  }.recover {
    case e: scala.concurrent.TimeoutException =>

§Directly creating WSClient

We recommend that you get your WSClient instances using dependency injection as described above. WSClient instances created through dependency injection are simpler to use because they are automatically created when the application starts and cleaned up when the application stops.

However, if you choose, you can instantiate a WSClient directly from code and use this for making requests or for configuring underlying AsyncHttpClient options.

If you create a WSClient manually then you must call client.close() to clean it up when you’ve finished with it. Each client creates its own thread pool. If you fail to close the client or if you create too many clients then you will run out of threads or file handles -— you’ll get errors like “Unable to create new native thread” or “too many open files” as the underlying resources are consumed.

You need an instance of an to create a instance directly. Usually you’ll inject this into the service using dependency injection:


// usually injected through @Inject()(implicit mat: Materializer)
implicit val mat: = app.materializer
val wsClient = AhcWSClient()

Creating a client directly means that you can also change configuration at the AsyncHttpClient and Netty configuration layers as well:

import com.typesafe.config.ConfigFactory
import play.api._

val configuration = Configuration.reference ++ Configuration(ConfigFactory.parseString(
    |ws.followRedirects = true

// If running in Play, environment should be injected
val environment = Environment(new File("."), this.getClass.getClassLoader, Mode.Prod)
val wsConfig = AhcWSClientConfigFactory.forConfig(configuration.underlying, environment.classLoader)
val wsClient: WSClient = AhcWSClient(wsConfig)

You can also use play.api.test.WsTestClient.withTestClient to create an instance of WSClient in a functional test. See ScalaTestingWebServiceClients for more details.

Or, you can run the WSClient completely standalone without involving a running Play application at all:


import scala.concurrent.Future

object Main {
  import scala.concurrent.ExecutionContext.Implicits._

  def main(args: Array[String]): Unit = {
    implicit val system = ActorSystem()
    implicit val materializer = ActorMaterializer()
    val wsClient = AhcWSClient()

      .andThen { case _ => wsClient.close() }
      .andThen { case _ => system.terminate() }

  def call(wsClient: WSClient): Future[Unit] = {
    wsClient.url("").get().map { response =>
      val statusText: String = response.statusText
      println(s"Got a response $statusText")

Again, once you are done with your custom client work, you must close the client:


Ideally, you should close a client after you know all requests have been completed. Be careful of using an automatic resource management pattern to close the client, because WSClient logic is asynchronous and many ARM solutions may be designed for a single threaded synchronous solution.

§Standalone WS

If you want to call WS outside of the context of Play altogether, you can use the standalone version of Play WS, which does not depend on any Play libraries. You can do this by adding play-ahc-ws-standalone to your project:

libraryDependencies += "" %% "play-ahc-ws-standalone" % playWSStandalone

Please see and the 2.6 migration guide for more information.

§Custom BodyReadables and BodyWritables

Play WS comes with rich type support for bodies in the form of, which contains type classes for converting input such as JsValue or XML in the body of a WSRequest into a ByteString or Source[ByteString, _], and, which aggregates type classes that read the body of a WSResponse from a ByteString or Source[ByteString, _] and return the appropriate type, such as JsValue or XML. These type classes are automatically in scope when you import the ws package, but you can also create custom types. This is especially useful if you want to use a custom library, i.e. you would like to stream XML through STaX API or use another JSON library such as Argonaut or Circe.

§Creating a Custom Readable

You can create a custom readable by accessing the response body:

trait URLBodyReadables {
  implicit val urlBodyReadable = BodyReadable[] { response =>
    import{ Response => AHCResponse }
    val ahcResponse = response.underlying[AHCResponse]
    val s = ahcResponse.getResponseBody

§Creating a Custom BodyWritable

You can create a custom body writable to a request as follows, using an BodyWritable and an InMemoryBody. To specify a custom body writable with streaming, use a SourceBody.

trait URLBodyWritables {
  implicit val urlBodyWritable = BodyWritable[]({ url =>
    val s = url.toURI.toString
    val byteString = ByteString.fromString(s)
  }, "text/plain")

§Accessing AsyncHttpClient

You can get access to the underlying AsyncHttpClient from a WSClient.


val client: AsyncHttpClient = ws.underlying

§Configuring WSClient

Use the following properties in application.conf to configure the WSClient:

§Configuring WSClient with SSL

To configure WS for use with HTTP over SSL/TLS (HTTPS), please see Configuring WS SSL.

§Configuring WS with Caching

To configure WS for use with HTTP caching, please see Configuring WS Cache.

§Configuring Timeouts

There are 3 different timeouts in WSClient. Reaching a timeout causes the WSClient request to interrupt.

The request timeout can be overridden for a specific connection with withRequestTimeout() (see “Making a Request” section).

§Configuring AsyncHttpClientConfig

The following advanced settings can be configured on the underlying AsyncHttpClientConfig.

Please refer to the AsyncHttpClientConfig Documentation for more information.

Next: Connecting to OpenID services

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