---
title: "HTTP Webhook"
slug: "http-webhook"
description: "Learn how to send data to your destination quickly and securely via Dataddo's HTTP webhook connectors. No data extraction, you or your service will send data."
updated: 2026-07-09T08:17:03Z
published: 2024-02-28T11:10:51Z
canonical: "docs.dataddo.com/http-webhook"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataddo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# HTTP Webhook

**Webhooks** are HTTP callbacks that allow one system to automatically notify another system about specific events, facilitating real-time communication and automation between web services. They are commonly used for event notification, data synchronization, and third-party integrations in web development.

          **DATADDO TIP**

          

The Dataddo HTTP webhooks connector **doesn't extract** data. Instead, you send data to Dataddo through an HTTP call.

## How to Create a Webhook Data Source

1. On the **Sources** page, click on the [**Create Source**](https://app.dataddo.com/sources/new) button and select HTTP Webhook.
2. Select the **Reaction Strategy**.
  1. **Write** immediately inserts data into your ***data destination***.
  2. **Store** keeps data in the ***data source*** which is used mainly when the ***data destination*** is a dashboarding tool.
3. Insert your **Example JSON webhook payload**, aka define the expected table schema. E.g.

```
{
    "order_number": "1234",
    "name": "Name Surname",
    "amount": 100
}
```
4. [Optional] Write your [transformation pipeline](/docs/transformation-pipeline). Add empty brackets if you wish to keep it blank.
5. **Name** your data source.
6. Click on the **Test Data** button in the top right corner to see the example table schema (not the actual data itself).
7. Click on **Save**.
8. A window with authorization details will pop up. Copy and keep the **Authorization Token** safe, you can display it **only once**.
9. Connect your newly created webhook ***source*** in a ***data flow***.

          Make sure you connect your ***source*** to a ***destination***, otherwise your data won't be sent anywhere.

          

## Authorize Connection to Dataddo in Your Service

To authorize the connection to Dataddo, include the **Authorization Token** in your HTTP calls. Here is an example `POST` request.

```
curl --location -X POST https://webhook.dataddo.com
--header 'Authorization: Bearer MY_TOKEN'
--header 'Content-Type: application/json'
--data '{
    "order_number": "1234",
    "name": "Name Surname",
    "amount": 100
    }'
```

In this example, this JavaScript is using the Fetch API to make an HTTP POST request. The script would be embedded in an HTML `<script>` element:

```
var headers = new Headers();
headers.append('Content-Type', 'application/json');
headers.append('Authorization', 'Bearer token_value');
var body = {
    "order_number": "1234",
    "name": "Name Surname",
    "amount": 100
};
var options = {
    method: "POST",
    headers: headers,
    mode: "cors",
    body: JSON.stringify(body)
};
response = fetch("https://webhook.dataddo.com", options);
console.log("Response: ", response);
```

---

## Troubleshooting

**ERROR MESSAGE** `No flow found for the source action`

This issue is caused by your data not being sent anywhere. Connect your ***source*** to a ***destination*** in a ***data flow***.

## Related Articles

Now that you have successfully created a ***data source***, see how you can connect your data to a dashboarding app or a data storage.

**Sending Data to Dashboarding Apps**

- [Simple Data Integration to Dashboards](https://docs.dataddo.com/docs/simple-data-integration-to-dashboards)
- [Data Backfilling to Dashboarding Apps](https://docs.dataddo.com/docs/data-backfilling-to-dashboarding-apps)

**Sending Data to Data Storages**

- [Batch Ingestion to Data Warehouses](https://docs.dataddo.com/docs/ingestion-to-data-warehouses)
- [Data Backfilling to Storages](https://docs.dataddo.com/docs/data-backfilling-to-storages)

**Other Resources**

- [Troubleshooting](https://docs.dataddo.com/docs/troubleshooting)
- [Extraction Logs](https://docs.dataddo.com/docs/extraction-logs)
- [Data Duplication](https://docs.dataddo.com/docs/data-duplication)

A destination is the endpoint where the data from your sources will be loaded. Destinations include dashboarding tools, data warehouses, and other online services.

Data flows allow you to orchestrate the integration of your data from various sources to your desired destinations. You may add multiple data sources with the same schema to one flow to merge data for a consolidated output.