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Automate visual content: Scrape images via Apify and automatically optimize/store them in Cloudinary. Latenode’s visual editor simplifies complex data flows and lets you scale image processing workflows at a fraction of the cost.
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Create a New Scenario to Connect Apify and Cloudinary
In the workspace, click the “Create New Scenario” button.
Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Apify, triggered by another scenario, or executed manually (for testing purposes). In most cases, Apify or Cloudinary will be your first step. To do this, click "Choose an app," find Apify or Cloudinary, and select the appropriate trigger to start the scenario.
Add the Apify Node
Select the Apify node from the app selection panel on the right.
Apify
Add the Cloudinary Node
Next, click the plus (+) icon on the Apify node, select Cloudinary from the list of available apps, and choose the action you need from the list of nodes within Cloudinary.
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Cloudinary
Authenticate Cloudinary
Now, click the Cloudinary node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Cloudinary settings. Authentication allows you to use Cloudinary through Latenode.
Configure the Apify and Cloudinary Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Apify and Cloudinary Integration
Use various Latenode nodes to transform data and enhance your integration:
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AI Anthropic Claude 3
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Cloudinary
Trigger on Webhook
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Apify
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Apify, Cloudinary, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Apify and Cloudinary integration works as expected. Depending on your setup, data should flow between Apify and Cloudinary (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Apify + Cloudinary + Google Drive: When an Apify actor run finishes, the resulting dataset items (images) are fetched and uploaded to Cloudinary for optimization. The optimized images are then backed up to Google Drive.
Apify + Cloudinary + Airtable: After a Apify actor run is finished, website screenshots are fetched and uploaded to Cloudinary. The URL and size of the images are logged to Airtable.
About Apify
Use Apify in Latenode to extract web data at scale for lead generation, market research, and more. Apify handles complex scraping, while Latenode orchestrates the data: trigger workflows, transform results with AI, and send data to any app. Automate web actions visually and affordably.
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About Cloudinary
Automate image and video optimization with Cloudinary in Latenode. Resize, convert, and deliver media assets based on triggers or data from any app. Streamline content workflows by integrating Cloudinary’s powerful transformations directly into your automated processes, reducing manual work. Scale efficiently and pay only for execution time.
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How can I connect my Apify account to Cloudinary using Latenode?
To connect your Apify account to Cloudinary on Latenode, follow these steps:
Can I automatically optimize scraped images in Cloudinary?
Yes, using Latenode! Scrape images with Apify, then automatically upload & optimize them in Cloudinary. Latenode's visual editor simplifies this, saving time and improving performance.
What types of tasks can I perform by integrating Apify with Cloudinary?
Integrating Apify with Cloudinary allows you to perform various tasks, including:
How can I trigger Cloudinary transformations based on Apify data?
Use Latenode to watch for Apify results, then automatically trigger Cloudinary transformations based on scraped metadata. Leverage flexible no-code logic.
Are there any limitations to the Apify and Cloudinary integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: