How to load your data from Walmart Marketplace to PostgreSQL

Pipes allows you to automatically replicate your Walmart Marketplace data into PostgreSQL on your defined schedule.
Load all your data from Walmart Marketplace to PostgreSQL to instantly get access to your Walmart Marketplace data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your Walmart Marketplace data into PostgreSQL. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​
1

Connect to PostgreSQL

This will be the destination of all data pipelines you build. Besides PostgreSQL, Pipes supports the most used relational databases in the cloud and on-premises.
2

Connect to Walmart Marketplace

Just enter your credentials to allow Pipes access to the Walmart Marketplace API. Then Pipes is able to retrieve your data from Walmart Marketplace.
3

Create a data pipeline from Walmart Marketplace to PostgreSQL

Pipes lets you select the data from Walmart Marketplace you want to have in Amazon Redshift. This pipeline will run automatically on your defined schedule!

About Walmart Marketplace

Walmart Marketplace allows third-party sellers to list their items on Walmart’s website. People conduct searches on the site and browse product listings from sellers.

About PostgreSQL

PostgreSQL is a powerful open-source object-relational database system. By supporting UNIX, Linux, BSD, AIX, SGI IRIX, HP-UX, Solaris, Mac OS X, Tru64, and Windows PostgreSQL runs on all major operating systems.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.