Latenode
Webhook
PostgreSQL

Automatically fetch and store webhook data in a structured format

This automation allows users to fetch data from a specified webhook URL on a daily schedule and store the retrieved information in a structured format. The primary purpose is to enable developers, API users, and infrastructure engineers to easily integrate external data sources into their workflows.

The automation retrieves data from the specified webhook, parses it into a structured format, and saves it for further processing or analysis. This can be useful for monitoring APIs, ingesting real-time data feeds, or automating data collection tasks as part of broader development, API, or infrastructure projects.

Updated Apr 6, 2026Est. run: 26sEst. cost: $0.0703
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Development & API

Workflow preview

What this template does

  • Fetches data from a specified webhook URL on a daily schedule
  • Parses the retrieved data into a structured format
  • Stores the structured data for further processing or analysis
  • Enables easy integration of external data sources into workflows
  • Allows monitoring APIs, ingesting real-time data feeds, or automating data collection tasks

How it works

1
Trigger

Schedule Daily Webhook Fetch

This automation is scheduled to run once per day. On each scheduled run, it will fetch data from the specified webhook URL.

2
Logic

Fetch Webhook Data

The automation will make an HTTP request to the configured webhook URL and retrieve the data payload.

3
Action

Parse Webhook Payload

The raw webhook payload will be parsed and converted into a structured data format, such as a JSON object or a set of database rows.

4
Action

Store Structured Data

The structured data from the webhook will be saved to a PostgreSQL database for further processing or analysis.

Setup guide

1

Add Webhook Credential

1. In the Latenode Credentials panel, add a new Webhook credential. 2. Specify the URL of the webhook you want to fetch data from.

2

Configure Webhook Node

1. In the Latenode visual builder, add a Webhook node. 2. Select the Webhook credential you created earlier. 3. Customize the node settings, such as the request method, headers, and data mapping.

3

Add Google Sheets Integration

1. In the Latenode Credentials panel, add a new Google Sheets credential by connecting your Google account. 2. In the Latenode visual builder, add a Google Sheets node. 3. Select the Google Sheets credential you created and configure the sheet and worksheet where you want to store the fetched data.

4

Map Webhook Data to Google Sheets

1. In the Google Sheets node settings, map the fields from the Webhook node output to the corresponding columns in your Google Sheets worksheet.

5

Schedule the Workflow

1. In the Latenode visual builder, set the trigger for the workflow to run on a daily schedule.

Requirements

Obtain a webhook URL from the data source you want to fetch data from
Create an Apify account and obtain an API key to access the Apify platform
Set up a scheduled Apify actor to fetch data from the webhook URL on a daily basis
Configure the Apify actor to parse the fetched data into a structured format, such as a JSON or CSV file

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
Contact support →

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