Connect Pexels and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Pexels
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Enable Integrations or automations with these events of Pexels and Nyckel
Enable Integrations or automations with these events of Pexels and Nyckel
Actions
Search for Photos
Searches for photos based on specified keywords.
Search Curated Photos
Search Curated Photos in pexels.
Search for Videos
Searches for vidoes based on specified keywords.
Popular Videos
Popular Videos in pexels.
Featured Collections
Featured Collections in pexels
My Collections
My Collections in pexels.
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Frequently Asked Questions
To start, connect both your Pexels and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Pexels triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Pexels data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Pexels and Nyckel 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 Pexels and Nyckel. 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 Pexels
Pexels is a platform that provides high-quality and completely free stock photos and videos licensed under the Pexels license. It is a valuable resource for designers, bloggers, marketers, and anyone in need of visually appealing content for their projects.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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