How to load your data from TikTok to PostgreSQL

Pipes allows you to automatically replicate your TikTok data into PostgreSQL on your defined schedule.
Load all your data from TikTok to PostgreSQL to instantly get access to your TikTok data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your TikTok 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 TikTok

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

Create a data pipeline from TikTok to PostgreSQL

Pipes lets you select the data from TikTok you want to have in PostgreSQL. This pipeline will run automatically on your defined schedule!

About TikTok

TikTok is a social network with a focus on short-form user videos. TikTok provides businesses with the ability to run advertising campaigns on the platform. With the TikTok Marketing API, you can connect directly to the TikTok Ads Manager platform to retrieve all data related to your TikTok advertising campaigns.

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.