User-defined APIs

Expose any flow as a custom REST API endpoint — or have an external system trigger a flow by POSTing to one. Configure once, your endpoint lives at /rest/v1/httplistener/<your-pattern>, runs under the calling user's permissions, and shows up in the audit log alongside everything else.

Overview

The core building block is an HTTP Listener — a connection that listens on a configurable path and method. Depending on which side of the source-to-destination flow it sits on, the listener either pushes the request payload into the flow or returns the flow's output as the HTTP response:

What a request looks like

Pre-defined response shape (PUSH / PUT / DELETE)

{
  "auditId": 106358,
  "messageUuid": "caaa8347-063c-449b-a29b-12e68799c986",
  "flowId": 3219,
  "status": "success"
}

Endpoint URL

Every user-defined API lives at:

https://<your-instance>.etlworks.com/rest/v1/httplistener/<your-url-pattern>

For Etlworks Cloud customers, the host is app.etlworks.com. For on-prem, it's your configured hostname.

URL pattern

Set the URL Pattern field when creating the HTTP Listener. The pattern becomes the path your endpoint responds at:

Path parameters become flow variables

Tokens like {patientid} in the URL pattern are extracted from the request path and exposed to the flow as variables — usable in source SQL, the FROM/TO fields, and JavaScript / Python.

patients/{patientid}

select * from patient where patientid = {patientid}

You can also surface request headers as variables — see Request & response headers.

Authentication — JWT (recommended)

Set Auth Type to JWT on the listener. Auth Location is either Header (recommended) or Query Parameter.

Three steps to call the endpoint

1. Create an API user with a role that can execute flows. (API users can only execute Listener-backed endpoints, not the platform REST API.)
2. Exchange username + password for an access token via the auth endpoint:
   ShellCopy

   curl -s -X POST https://app.etlworks.com/rest/v1/token-auth/issue \
     -H "Content-Type: application/json" \
     -d '{"login":"api-user","password":"…"}'
   # → { "token": "eyJ0eXAiOiJKV1Q…" }

   Or skip this step entirely by generating a non-expiring API key (Settings → Users → Edit user → API Key) and using that as the token.
3. Send the token on every call to your endpoint:

   Auth location	Where the token goes
   Header	Authorization: Bearer eyJ0eXAi…
   Query Parameter	?Authorization=Bearer%20eyJ0eXAi…

Authentication — Basic

Less secure than JWT — use only when the calling system can't manage tokens (e.g. a third-party webhook that only sends a static Authorization header).

Set Auth Type to Basic on the listener. Auth Location is Header, Query Parameter, or (see next section) embedded in the URL path.

1. Base64-encode user:password:
   Shell

   printf 'admin:admin' | base64
   # → YWRtaW46YWRtaW4=

2. Send on every call:

   Auth location	Where it goes
   Header	Authorization: Basic YWRtaW46YWRtaW4=
   Query Parameter	?Authorization=Basic%20YWRtaW46YWRtaW4=

Path-based auth (for restrictive webhooks)

Some third-party webhook systems (eBay, certain SaaS platforms) only let you configure a static URL — no header, no query string. The workaround: embed a doubly-base64-encoded Basic auth string as the last path segment.

1. Base64-encode user:password: admin:admin → YWRtaW46YWRtaW4=
2. Build the standard Basic auth string: Basic YWRtaW46YWRtaW4=
3. Base64-encode that: QmFzaWMgWVdSdGFXNDZZV1J0YVc0PQ==
4. Append to your URL Pattern: some/path/QmFzaWMgWVdSdGFXNDZZV1J0YVc0PQ== — or use a path token like some/path/{auth} for flexibility.

Wait ~1 minute for the URL to propagate, then point your webhook at it. The listener decodes the trailing segment and authenticates.

PULL — expose a data source as an API endpoint

Tableau wants the latest customer list, in JSON, behind an authenticated URL. Wire up a flow whose source is your warehouse and whose destination is the listener — the listener serves the flow's output as the response.

Setup

1. Create an HTTP Listener with Method = GET and a URL pattern.
2. Create a Format for the response: JSON, JSON Dataset, XML, XML Dataset, CSV, or Fixed-Length Text.
3. Create an "any-to-web-service" flow where the source is your data (database, file, API) and the destination is the listener + format from steps 1 & 2.
4. Configure the source query, mapping, and any flow parameters needed. Use {patientid}-style tokens to bind path parameters into the SQL.
5. Schedule the flow as event-driven. Etlworks executes it on every inbound GET.

Calling it

curl -s "https://app.etlworks.com/rest/v1/httplistener/patients/123" \
  -H "Authorization: Bearer eyJ0eXAi…"
# → { "id": 123, "name": "…", … }

Test it from inside Etlworks Explorer too — create an Etlworks API Connection pointing at the endpoint and browse the response there.

PUSH — trigger a flow when a payload arrives

A SaaS application updates a record. Its webhook fires and POSTs the updated record's JSON to your endpoint. Your flow runs — transforms the payload, writes it to the warehouse, sends an email.

Setup

1. Create an API user with a role that can run flows.
2. Create an HTTP Listener with Method = POST (or PUT).
3. Create a Format matching the inbound payload — JSON, XML, CSV, fixed-length, HL7 v2.x, FHIR.
4. Build a flow whose source is a web service. The source connection (FROM) is the listener.
5. Add mapping + parameters as you would normally.
6. Schedule the flow as event-driven. It runs every time a payload arrives.

Calling it

curl -s -X POST "https://app.etlworks.com/rest/v1/httplistener/hl7/patient" \
  -H "Authorization: Bearer eyJ0eXAi…" \
  -H "Content-Type: application/json" \
  -d '{"id":123,"name":"…"}'
# → { "auditId": 106358, "messageUuid": "…", "flowId": 3219, "status": "success" }

UPLOAD — ingest files via HTTP

An HTTP Listener can be the source of a Copy Files flow — turning a POST endpoint into a file dropzone that lands bytes in any supported file storage (server, FTP/FTPS/SFTP, S3, etc.).

Setup

1. Create an HTTP Listener with Method = POST and an Auth Type. URL Pattern uses a path token for the filename:
   URL Pattern

   file/{filename}

2. Create a Copy Files flow.
3. Set the FROM connection to the listener.
4. Set the TO connection to any file connection.
5. Set the destination filename to either a literal value (test.json) or the path token ({filename}) so the caller controls it.
6. Schedule the flow as event-driven.

Calling it

curl -s -X POST "https://app.etlworks.com/rest/v1/httplistener/file/test2.json" \
  -u "api-user:…" \
  --data-binary @local-file.json
# The body of local-file.json lands at the configured destination as test2.json.

CRUD — multiple methods on one resource

Build a full create / read / update / delete API by configuring listeners with the appropriate HTTP method and wiring each to a flow. Path tokens parameterize destination queries.

Example — tokenized destination query

update patient
   set name = {name}
 where patientid = {patientid}

With URL Pattern patients/{patientid} and a JSON payload {"name":"Jane"}, calling PUT /rest/v1/httplistener/patients/123 with body {"name":"Jane"} resolves to update patient set name='Jane' where patientid=123.

Custom responses

By default, PUSH/PUT endpoints return the pre-defined receipt. Two ways to return something else:

Option A — return the destination's response

Useful when the flow forwards the payload to another HTTP API and you want to relay that API's reply back to the caller.

1. On the listener, set POST/PUT Processing = Sync and POST/PUT Response File Name = {app.data}/response.json.
2. On the destination HTTP connection, set Response File Name to the same path.
3. Build the flow with the listener as source and that HTTP connection as destination.
4. Schedule event-driven.

The destination's response gets written to response.json and returned to the caller. The file is auto-deleted after the response goes out.

Option B — user-defined response file

Generate a response from inside the flow itself, without delegating to an upstream API.

1. Listener: POST/PUT Processing = Sync, POST/PUT Response File Name = {app.data}/response.json.
2. Build a primary flow that processes the inbound payload.
3. Build a second flow that writes the response file (same path as in step 1).
4. Combine them into a nested flow so the response file always exists by the time the listener replies.
5. Schedule the nested flow event-driven.

The response file is auto-deleted after the listener returns it.

Request & response headers

Read inbound headers

Enable Pass request headers to the flow as parameters on the listener. Each header becomes a flow variable — uppercased (Validation-Token → VALIDATION-TOKEN).

var token = scenario.getVariable('VALIDATION-TOKEN').getValue();

Set outbound headers

From any place a flow runs JavaScript or Python:

etlConfig.addResponseHeader('header-name', headerValue);

Real-world example: webhook subscription handshake

RingCentral's webhooks require the endpoint to echo a Validation-Token request header back in the response to complete the subscription. The flow:

var token = scenario.getVariable('VALIDATION-TOKEN');
etlConfig.addResponseHeader('Validation-Token', token != null ? token.getValue() : '');
value = true;

Empty payload

Some upstream systems POST with no body — especially webhook handshakes. Without a default, the parser raises an exception. Fix: set Default Payload on the listener to a valid document in the chosen format. The flow runs against the default whenever the request body is empty.

Response codes

Test from inside Etlworks

You don't need an external system to exercise an event-driven flow. Build a "sender" flow that calls your listener.

1. Prepare test data. A source connection (file, cloud storage, database) plus a Format matching what real callers will send.
2. Configure the destination. Create an Etlworks API Connection with:
   • Endpoint path: /rest/v1/httplistener/<your-pattern>
   • Method: matches your listener (POST, PUT, GET, DELETE)
   • User / password: the API user configured for the listener
3. Build the sender flow. Source = test data + format. Destination = the API connection from step 2. Format on both sides matches.
4. Run the sender. It POSTs (or GETs / PUTs / DELETEs) to your listener, triggering the event-driven flow exactly as a real caller would.

The sender flow is reusable — keep it around for regression testing or wire it into a CI flow.

View inbound payloads

Every payload an HTTP Listener receives is captured in the platform's messages store — queryable by id, by listener, by status, by substring. Use the Messages app in the UI, or the CLI:

// Filter recent messages
list-messages-filtered message=Notification;

// Pull one message body
get-message 24a6e77b-c05f-45ed-b1e8-908ce361bf31;

Or via REST: GET /v1/messages — see the REST API reference.