Create an Earthquake Data Connector

The earthquake data JavaScript boilerplate is a connector connecting to earthquake data and contains simple JavaScript and HTML.

Use cases


To create your connector, we recommend that you first create a sample earthquake data connector and edit the generated files. It’s easier to get all the files and directory structure your connector needs by just using an existing example.

To create your earthquake data connector, do the following steps.

Step 1: Create a boilerplate earthquake data connector

  1. Enter the following command to create the connector:

    taco create my-earthquake-data-connector --boilerplate earthquake-data 

    This creates a directory with the earthquake data boilerplate code, which is included with the toolkit.

  2. Change directories to the my-earthquake-data-connector directory.
    cd my-earthquake-data-connector
  3. Build the connector by entering the following command:

    taco build

    This command clears any previous or existing build caches, then installs the dependencies, then builds the frontend code and the backend code (handlers), then copies the connector.json file (the configuration file).

Step 2: Configure your connector’s properties

In your new earthquake data connector directory, find and open the connector.json file.

  "name": "my-earthquake-data-connector",
  "displayName": "Earthquake Data Connector",
  "version": "1.0.0",
  "tableau-version": {
    "min": "2023.3"
  "vendor": {
    "name": "vendor-name",
    "support-link": "",
    "email": ""
  "permission": {
    "api": {
      "https://*": [
  "auth": {
    "type": "none"
  "window": {
    "height": 800,
    "width": 600

Make the following changes:

  1. Change the general properties.

    Name Value
    name Your connector’s directory name
    displayName Your connector’s name. This is the name that appears in Tableau connectors area.
    version Your connector’s version
    min The earliest Tableau version your connector supports
  2. Change the company properties.

    Name Value Your company name Your company’s URL Your company’s email
  3. Change the permissions.

    Name Value
    permission.api The URI for the API that the connector is allowed to access, along with the methods (POST, GET, PUT, PATCH, DELETE) that the connector is allowed to use.
  4. Verify the authentication type.

    Name Value
    auth.type Enter none.

    For more information about authentication, see the Authentication section in the Considerations for Building Your Connector topic.

  5. Change the HTML pane size.

    Name Value
    window.height The height of the connector HTML pane
    window.width The width of the connector HTML pane

Step 3: Edit the user interface

When you open a web data connector in Tableau, the connector displays an HTML page that links to your JavaScript code and to your connector’s handlers. Optionally, this page can also display a user interface for your users to select the data that they want to download.

To create a user interface for your connector, open the /app/index.html file.

<!DOCTYPE html>

  <title>USGS Earthquake Feed</title>
  <meta http-equiv="Cache-Control" content="no-store" />
  <link rel="icon" href="data:,">
  <link href="index.css" rel="stylesheet" />
  <script src="index.ts" type="module" defer></script>

  <div class="box">
    <button type="button" id="submitButton" disabled>
      Please wait while settings load...


Let’s run through what the code is doing. Skipping over the standard markup for an HTML page, notice the following between the head tags:

Step 4: Edit the connector object

Now that you’ve created a user interface, it’s time to edit the TypeScript code for the connector’s button. First, open the /app/index.ts file.

function submit() {
  connector.handlerInputs = [
      fetcher: 'MyFetcher',
      parser: 'MyParser',
      data: {
        url: '',

Step 5: Update the fetcher file

If your data is complex and needs preprocessing, use the TACO Toolkit library to prepare your data. The following is the default code that the /handlers/MyFetcher.ts files uses to get the data:

import { Fetcher, FetchUtils, FetchOptions } from '@tableau/taco-toolkit/handlers'

export default class MyFetcher extends Fetcher {
  async *fetch({ handlerInput }: FetchOptions) {
    yield await FetchUtils.fetchJson(

Step 6: Configure how the data is presented

Now you must define how you want to map the data to one or more or tables. This mapping of data is done in the schema.

To decide how to map your data, look at your data source. When you’re done looking at the summary of the JSON data source, make the necessary edits in the /handlers/MyParser.ts file to structure the returned data.

import { DataContainer, DataType, log, ParseOptions, Parser } from '@tableau/taco-toolkit/handlers'

interface FeatureRow {
  id: string
  properties: {
    mag: number
    title: string
  geometry: {
    type: string
    coordinates: [number, number, number]

interface FetcherResult {
  features: FeatureRow[]

export default class MyParser extends Parser<FetcherResult> {
  parse(fetcherResult: FetcherResult, { dataContainer }: ParseOptions): DataContainer {
    const tableName = 'My Sample Data'
    log(`parsing started for '${tableName}'`)

    const containerBuilder = Parser.createContainerBuilder(dataContainer)
    const { isNew, tableBuilder } = containerBuilder.getTable(tableName)

    if (isNew) {
          id: 'id',
          dataType: DataType.String,
          id: 'mag',
          alias: 'magnitude',
          dataType: DataType.Float,
          id: 'title',
          alias: 'title',
          dataType: DataType.String,
          id: 'location',
          dataType: DataType.Geometry,

    tableBuilder.addRows( => {
        return { id:, mag:, title:, location: row.geometry }

    return containerBuilder.getDataContainer()

Some notes:

Step 7: Build your connector

Enter these commands to build, pack, and run your new connector:

taco build
taco pack
taco run Desktop