Simplest SOAP example

Question

What is the simplest SOAP example using Javascript?

To be as useful as possible, the answer should:

• Be functional (in other words actually work)
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Answer 1

The question is 'What is the simplest SOAP example using Javascript?'

This answer is of an example in the Node.js environment, rather than a browser. (Let's name the script soap-node.js) And we will use the public SOAP web service from Europe PMC as an example to get the reference list of an article.

const XMLHttpRequest = require("xmlhttprequest").XMLHttpRequest;
const DOMParser = require('xmldom').DOMParser;

function parseXml(text) {
    let parser = new DOMParser();
    let xmlDoc = parser.parseFromString(text, "text/xml");
    Array.from(xmlDoc.getElementsByTagName("reference")).forEach(function (item) {
        console.log('Title: ', item.childNodes[3].childNodes[0].nodeValue);
    });

}

function soapRequest(url, payload) {
    let xmlhttp = new XMLHttpRequest();
    xmlhttp.open('POST', url, true);

    // build SOAP request
    xmlhttp.onreadystatechange = function () {
        if (xmlhttp.readyState == 4) {
            if (xmlhttp.status == 200) {
                parseXml(xmlhttp.responseText);
            }
        }
    }

    // Send the POST request
    xmlhttp.setRequestHeader('Content-Type', 'text/xml');
    xmlhttp.send(payload);
}

soapRequest('https://www.ebi.ac.uk/europepmc/webservices/soap', 
    `
    
    
    
        
            C7886
            CTX
            0
            25
            ukpmc-phase3-wp2b---do-not-reply@europepmc.org
        
    
    `);

Before running the code, you need to install two packages:

npm install xmlhttprequest
npm install xmldom

Now you can run the code:

node soap-node.js

And you'll see the output as below:

Title:  Perspective: Sustaining the big-data ecosystem.
Title:  Making proteomics data accessible and reusable: current state of proteomics databases and repositories.
Title:  ProteomeXchange provides globally coordinated proteomics data submission and dissemination.
Title:  Toward effective software solutions for big biology.
Title:  The NIH Big Data to Knowledge (BD2K) initiative.
Title:  Database resources of the National Center for Biotechnology Information.
Title:  Europe PMC: a full-text literature database for the life sciences and platform for innovation.
Title:  Bio-ontologies-fast and furious.
Title:  BioPortal: ontologies and integrated data resources at the click of a mouse.
Title:  PubMed related articles: a probabilistic topic-based model for content similarity.
Title:  High-Impact Articles-Citations, Downloads, and Altmetric Score.