How to combine data from Pinterest with LiveChat

Pipes allows you to quickly Integrate Pinterest with LiveChat data for a combined analysis.

Load data from Pinterest and LiveChat into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Pinterest, LiveChat, 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 Pinterest and LiveChat

You just need to enter the associated credentials to allow Pipes access to the Pinterest API and the LiveChat API.

Combine data from Pinterest and LiveChat

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

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About Pinterest

Pinterest is a photo sharing web and mobile application containing one of the world’s most robust catalog of ideas. Registration is required for the users to create boards on Pinterest. Users can upload, sort, save, follow and manage images and pins on Pinboards.

About LiveChat

LiveChat is an online customer service software with live support, help desk application and web analytics capabilities. Companies use LiveChat as a single point of contact to manage all customer service and online sales activities from one software.

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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