How to connect Inoreader and OpenAI Responses
Create a New Scenario to Connect Inoreader and OpenAI Responses
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 Inoreader, triggered by another scenario, or executed manually (for testing purposes). In most cases, Inoreader or OpenAI Responses will be your first step. To do this, click "Choose an app," find Inoreader or OpenAI Responses, and select the appropriate trigger to start the scenario.

Add the Inoreader Node
Select the Inoreader node from the app selection panel on the right.

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

Inoreader
⚙
OpenAI Responses
Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the Inoreader and OpenAI Responses 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 Inoreader and OpenAI Responses Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
⚙
AI Anthropic Claude 3
⚙
OpenAI Responses
Trigger on Webhook
⚙
Inoreader
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Inoreader, OpenAI Responses, 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 Inoreader and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Inoreader and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Inoreader and OpenAI Responses
Inoreader + OpenAI Responses + Slack: When a new article appears in a specified Inoreader folder, OpenAI summarizes it, and the highlights are sent to a designated Slack channel.
Inoreader + OpenAI Responses + X (Twitter): When a new article is tagged in Inoreader, OpenAI generates a tweet based on the article's content, and then posts it on X (Twitter).
Inoreader and OpenAI Responses integration alternatives
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.
Similar apps
Related categories
About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
Similar apps
Related categories
See how Latenode works
FAQ Inoreader and OpenAI Responses
How can I connect my Inoreader account to OpenAI Responses using Latenode?
To connect your Inoreader account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Inoreader and click on "Connect".
- Authenticate your Inoreader and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize Inoreader articles using OpenAI Responses?
Yes, you can! Latenode allows you to trigger OpenAI Responses with new Inoreader articles for automatic summarization. Save time and stay informed effortlessly.
What types of tasks can I perform by integrating Inoreader with OpenAI Responses?
Integrating Inoreader with OpenAI Responses allows you to perform various tasks, including:
- Summarizing Inoreader articles into concise overviews using OpenAI.
- Generating social media posts from Inoreader content with AI.
- Creating personalized email digests based on Inoreader feeds.
- Analyzing the sentiment of articles via OpenAI and tagging in Inoreader.
- Translating articles from Inoreader into other languages automatically.
Can I filter Inoreader articles based on keywords before using OpenAI?
Yes, with Latenode you can add conditional logic to filter articles based on keywords, ensuring only relevant content reaches OpenAI.
Are there any limitations to the Inoreader and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both Inoreader and OpenAI Responses APIs apply.
- Complex prompt engineering in OpenAI may require advanced Latenode skills.
- Large volumes of articles might impact workflow execution time.