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Automatically enrich Inoreader articles with deeper insights using Data Enrichment, without complex coding. Latenode’s visual editor and affordable execution pricing makes scaling research workflows easier than ever.
Connect Data Enrichment and Inoreader in minutes with Latenode.
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In the workspace, click the “Create New Scenario” button.

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Data Enrichment, triggered by another scenario, or executed manually (for testing purposes). In most cases, Data Enrichment or Inoreader will be your first step. To do this, click "Choose an app," find Data Enrichment or Inoreader, and select the appropriate trigger to start the scenario.

Select the Data Enrichment node from the app selection panel on the right.

Data Enrichment
Click on the Data Enrichment node to configure it. You can modify the Data Enrichment URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Data Enrichment node, select Inoreader from the list of available apps, and choose the action you need from the list of nodes within Inoreader.

Data Enrichment
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Inoreader
Now, click the Inoreader node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Inoreader settings. Authentication allows you to use Inoreader through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Inoreader
Trigger on Webhook
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Data Enrichment
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Iterator
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Webhook response
After configuring Data Enrichment, Inoreader, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Data Enrichment and Inoreader integration works as expected. Depending on your setup, data should flow between Data Enrichment and Inoreader (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Inoreader + Data Enrichment + Slack: When a new article appears in a specific Inoreader folder, extract relevant company information using Data Enrichment and send a summary to a Slack channel.
Inoreader + Data Enrichment + X (Twitter): When Inoreader finds news about a topic, enrich the topic data and tweet a summary.
About Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
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About Inoreader
Aggregate and filter news feeds in Inoreader, then use Latenode to automate actions based on specific articles. Trigger alerts, update databases, or post to social media directly from your curated content. Use Latenode's visual editor and JavaScript node to refine filtering and formatting rules far beyond Inoreader's native options.
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How can I connect my Data Enrichment account to Inoreader using Latenode?
To connect your Data Enrichment account to Inoreader on Latenode, follow these steps:
Can I enrich Inoreader article data?
Yes, you can enrich Inoreader article data using Data Enrichment. Latenode allows you to automate the process, adding valuable insights and context to your content streams with no-code ease.
What types of tasks can I perform by integrating Data Enrichment with Inoreader?
Integrating Data Enrichment with Inoreader allows you to perform various tasks, including:
How does Latenode handle Data Enrichment API rate limits?
Latenode's robust queueing system manages API calls efficiently, preventing rate limit issues and ensuring reliable data enrichment.
Are there any limitations to the Data Enrichment and Inoreader integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: