Chatlayer Documentation
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  • start quickly
    • Leadzy tutorial
      • 0. Introduction
      • 1. New bot, new block
      • 2. Understand your users
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      • 4. Steer the conversation with Conditions
      • 5. Empower your bot with Actions
      • 6. Set up a channel and publish your bot
    • Templates
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      • Add content to your KBAI
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      • Use your KBAI source URL in a button
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      • API
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    • Conversation design
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    • Flow logic
      • Blocks
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    • 🆕Emulator
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      • Route your flow depending on the time
      • Improve the Not understood block
        • How to create better not understood messages
        • Not understood counter
        • Not understood Google search
      • Go to previous block
      • Recognizing a returning user
      • Skip introduction message
      • Route your flow depending on the channel
      • Reuse flows
      • Connect two bots to each other
  • understand users
    • Natural language processing (NLP)
      • Basic NLP concepts
      • Detect information with entities
        • Match entities
        • Contextual entities
        • System entities
        • Composite entities
      • NLP best practices
        • Word order and diversity of expressions
      • AI intent booster
      • Train your NLP
      • Context
      • NLP import & export
      • Sentiment analysis
    • Languages
      • Supported languages
      • Make your bot multilingual
      • Change language within the conversation
  • set up channels
    • Add a channel to your bot
    • All channels
      • 🚨Facebook Messenger [Deprecated soon]
        • Facebook Admin Removal
        • Facebook Webview Whitelisting
        • Facebook Messenger API updates for Europe
      • 🚨Google Assistant [Deprecated soon]
      • Webhook
      • Web
        • 🚨Web V1 [Deprecated]
          • Customize web widget
          • Live example web widget
        • 🆕Web V2
          • 🆕From Web V1 to V2
          • 🆕Web V2 methods and options
    • Sinch Conversation API
      • Configure your Sinch Conversation API
      • 🆕 Make the most of RCS with Carousels
      • WhatsApp Business API
  • integrate & code
    • API calls
      • Configure your API integration
      • Advanced API features
      • V1 API Reference
      • Custom integrations 101
    • Code editor
      • [Example] Sending data to Airtable (POST)
      • [Example] Retrieving data from Airtable (GET)
      • [Example] Making SOAP requests
    • App integrations
      • Airtable
      • Freshdesk
      • Freshdesk Messaging
      • 🆕Gmail
      • Intercom
      • Mailgun
      • OpenAI: GPT-3, ChatGPT and GPT-4
      • Salesforce
      • 🆕Slack
      • Topdesk
      • Zendesk Support
      • Zendesk Sunshine (beta)
    • 🆕Expression syntax
    • Human handover & live chat
      • Sinch Contact Pro
      • #Interact
      • Genesys Cloud
      • Offloading Webhook
      • Salesforce Service Cloud
      • Sparkcentral by Hootsuite
      • Zendesk Chat
    • Chatlayer messages specifications
  • Publish
    • Publish your bot
      • Publish a flow
  • Analyze & maintain
    • Analytics definitions
    • Data retention
    • Maintenance
    • Session
    • Track events for analytics
  • VOICE
    • 🆕Send bot response as audio
    • Voicebots
      • Create a voicebot
      • Voicebot-specific actions
      • Test your voicebot
      • From chat to voice
  • access & support
    • Identity & Access
      • Single Sign-On (SAML SSO)
    • Billing & subscription
    • Get in touch
    • Chatlayer glossary
    • SaaS Regions & IP Ranges
    • Status
    • Debug your bot
      • No correct response
      • Collect input not working
      • Video isn't working
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  1. integrate & code
  2. Code editor

[Example] Making SOAP requests

Previous[Example] Retrieving data from Airtable (GET)NextApp integrations

Last updated 3 months ago

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You can use the to make REST-based API calls. If the API you're integrating with is SOAP-based, the is the tool for you.

Example

The following is an example of how you can leverage the library embedded in the Code Editor runtime to perform SOAP requests.

The input variable should contain any stringified number, like "500". We build the XML body through a and substitute the input value. We then extract the response value through Regex. The output message in the chat will then contain the number as words, "five hundred" in the case of our example.

// We make use of the following public API
// https://documenter.getpostman.com/view/8854915/Szf26WHn

const { input } = args;

const url = "https://www.dataaccess.com/webservicesserver/NumberConversion.wso";

// The request body
const body = `<?xml version="1.0" encoding="utf-8"?>
  <soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
    <soap:Body>
      <NumberToWords xmlns="http://www.dataaccess.com/webservicesserver/">
        <ubiNum>${input}</ubiNum>
      </NumberToWords>
    </soap:Body>
  </soap:Envelope>
`;

const headers = {
  // Additional headers may be required
  // dpending on your server implementation
  "Content-Type": "text/xml; charset=utf-8",
};

const options = { method: "POST", headers, body };

const chatlayer = ChatlayerResponseBuilder();

try {
  // Perform the request to the SOAP api
  const response = await fetch(url, options);
  
  // Extract the text value from the response
  const xmlResponse = await response.text();
  
  // Build and match the RegExp to extract data from the response
  const regExp = new RegExp(
    "<m:NumberToWordsResult>(.*?)</m:NumberToWordsResult>"
  );
  const match = xmlResponse.match(regExp);
  if (!match) {
    throw new Error("Could not find the given number");
  }
  const result = match[1];
  chatlayer.addMessage(result);
} catch (ex) {
  chatlayer.addMessage(ex.toString());
} finally {
  chatlayer.send();
}

Code Editor
template literal
API Action
fetch