
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Pexels and KNIME
Searches for photos based on specified keywords.
Search Curated Photos in pexels.
Searches for vidoes based on specified keywords.
Popular Videos in pexels.
Featured Collections in pexels
My Collections in pexels.

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Unlock your team's potential with 5 straightforward automation hacks designed to streamline processes and free up valuable time for more important work.

Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Pexels and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Pexels triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Pexels data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between Pexels and KNIME 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 KNIME. 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.
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 MoreKNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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