How to combine data from KAWO with LinkedIn

Pipes allows you to quickly Integrate KAWO with LinkedIn data for a combined analysis.
Load data from KAWO and LinkedIn into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to KAWO, 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.
1

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.
2

Connect to KAWO and LinkedIn

You just need to enter the associated credentials to allow Pipes access to the KAWO API and the LinkedIn API.
3

Combine data from KAWO and LinkedIn

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

About KAWO

KAWO is a platform for brands & agencies to manage all of their Chinese social media accounts in one place. Founded in Shanghai, China in 2013, KAWO is the built in China for China solution used by global brands to manage their WeChat, Weibo, Douyin & Kuaishou.

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.