Connect Pinterest and textkit to Build Intelligent Automations
Choose a Trigger
When this happens...
New Board
New Pins
Choose an Action
Automatically do this!
- Request a new Action for textkit
Enable Integrations or automations with these events of Pinterest and textkit
Enable Integrations or automations with these events of Pinterest and textkit
Triggers
New Board
Triggers when you create a new board.
New Pins
Triggers when a new pin is created.
Actions
Create a new board
Create a new board.
Delete a board
delete a single board.
Find board section
Find list of board sections.
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Frequently Asked Questions
To start, connect both your Pinterest and textkit accounts to viaSocket. Once connected, you can set up a workflow where an event in Pinterest triggers actions in textkit (or vice versa).
Absolutely. You can customize how Pinterest data is recorded in textkit. This includes choosing which data fields go into which fields of textkit, setting up custom formats, and filtering out unwanted information.
The data sync between Pinterest and textkit typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Pinterest and textkit. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Pinterest
Pinterest is the world’s catalog of ideas that more than 100 million people around the world use every month to get more creative in their everyday lives. Save images and videos ("Pins") to curated collections ("Boards") from any website, or upload your own. Build your online presence and grow your audience by sharing your visual catalog, and track what your audience thinks through their Likes and repins.
Learn MoreAbout textkit
TextKit provides ready-to-use APIs for Natural Language Processing and Text Analysis without the hassles of running your own models
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