How to combine data from Pixi* with LinkedIn

Pipes allows you to quickly Integrate Pixi* with LinkedIn data for a combined analysis.

Load data from Pixi* and LinkedIn into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Pixi*, LinkedIn, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.

Connect to Pixi* and LinkedIn

You just need to enter the associated credentials to allow Pipes access to the Pixi* API and the LinkedIn API.

Combine data from Pixi* and LinkedIn

Pipes lets you select the data from Pixi* and LinkedIn that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

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About Pixi*

Pixi offers a software solution to manage and optimize in-house logistic processes for e-commerce and retail businesses. While supporting the common shop interfaces Pixi helps its clients to improve their stock management and to conduct an automation of the order import as well as the handling of payments, picking and shipping.

About LinkedIn

LinkedIn is an employment-oriented and business social networking service which is mainly used for professional networking and communication. With LinkedIn employers and job seekers can both create profiles and form real-world professional connections.

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.

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