# Sync your data with nodulz

Source: https://nodulz.com/use-cases/data-sync

Language: en

> Editorial summary. Check the source page for current prices, availability and live data.

Fetch data from an API, prepare the fields you need and update PostgreSQL in a scheduled workflow.

## The day-to-day need.

Your business application exposes data through an API, but reporting still relies on manual exports. Formats differ and every update involves the same repetitive steps.

## Example: a product catalog for reporting

Every morning, fetch products from your business application. Normalize references and prices, then update the table used by your internal reporting.

## Without a workflow

Someone downloads the catalog, fixes its columns and imports the file into the database on every update.

## With nodulz

A schedule starts the same retrieval, normalization and writing sequence; each step can be inspected separately.

## How nodulz solves the problem.

nodulz connects the source and the database while keeping the transformation visible. The team defines a data contract, then assembles the nodes that implement it.

### A predictable starting point

The Schedule node sets the cadence. The HTTP request specifies the endpoint, authentication and parameters used to fetch the catalog; you can change the source without rewriting the rest.

### Fields aligned with your database

The Fields node prepares the references, names and prices PostgreSQL expects. Expressions use data from earlier steps, making each mapping explicit.

### A controlled database write

The PostgreSQL query applies your insert or update rule. A unique key and matching strategy are defined in the database to avoid recreating a product on the next run.

## From trigger to outcome.

Schedule · HTTP request · Fields · PostgreSQL

## What this workflow brings.

Retrieval and preparation follow the same path on every run. Your team can inspect incoming data and identify the step that needs attention.

- A shared format between the source and reporting.

- Regular retrieval without a manual export.

- Diagnosis by step rather than a search through the final file.

## Keep control of the process.

The matching key and SQL query remain explicit. Plan for API pagination and a database uniqueness constraint to adapt this scenario to your volume.

## Explore further

- [Features - nodulz](https://nodulz.com/product/overview)
- [Node catalog - nodulz](https://nodulz.com/product/catalog)
- [MCP server - nodulz](https://nodulz.com/product/mcp)
- [Pricing - nodulz](https://nodulz.com/pricing)
- [Use cases and workflow automation - nodulz](https://nodulz.com/use-cases)
- [Choose what your workflows can do. - nodulz](https://nodulz.com/compare)
- [Documentation - nodulz](https://nodulz.com/docs)