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Automate content monitoring: Save new Feedly articles matching specific keywords to a MySQL database for analysis. Latenode's JavaScript support unlocks custom data transformations and scales affordably for high-volume feeds.
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Create a New Scenario to Connect MySQL and Feedly
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 MySQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, MySQL or Feedly will be your first step. To do this, click "Choose an app," find MySQL or Feedly, and select the appropriate trigger to start the scenario.
Add the MySQL Node
Select the MySQL node from the app selection panel on the right.
MySQL
Add the Feedly Node
Next, click the plus (+) icon on the MySQL node, select Feedly from the list of available apps, and choose the action you need from the list of nodes within Feedly.
MySQL
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Feedly
Authenticate Feedly
Now, click the Feedly node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Feedly settings. Authentication allows you to use Feedly through Latenode.
Configure the MySQL and Feedly 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 MySQL and Feedly Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Feedly
Trigger on Webhook
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MySQL
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring MySQL, Feedly, 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 MySQL and Feedly integration works as expected. Depending on your setup, data should flow between MySQL and Feedly (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Feedly + MySQL + Discord bot: When a new article appears in a Feedly feed, the workflow checks a MySQL database. If a matching entry exists (based on keyword), the article is sent to a specified Discord channel.
Feedly + MySQL + Slack: This workflow monitors a Feedly feed for new articles. It saves these articles to a MySQL database. Then, on a recurring schedule, it sends a summary of the day's new articles from the database to a Slack channel.
About MySQL
Use MySQL in Latenode to automate database tasks. Read, update, or create records based on triggers from other apps. Streamline data entry, reporting, or inventory management. Latenode's visual editor simplifies MySQL integrations, allowing you to build scalable workflows with no-code tools or custom JavaScript logic.
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About Feedly
Aggregate and filter Feedly articles within Latenode to automate content-driven workflows. Track brand mentions, industry trends, or competitor activity, then instantly trigger actions like posting to social media, updating databases, or notifying teams—all based on custom rules and logic.
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How can I connect my MySQL account to Feedly using Latenode?
To connect your MySQL account to Feedly on Latenode, follow these steps:
Can I archive Feedly articles into a MySQL database?
Yes, you can! Latenode's visual interface simplifies this, letting you automatically store Feedly article data in MySQL for analysis and long-term archiving, enhancing data control.
What types of tasks can I perform by integrating MySQL with Feedly?
Integrating MySQL with Feedly allows you to perform various tasks, including:
How do I ensure data security when connecting MySQL to Latenode?
Latenode provides secure connections and data encryption. You can also control data access and permissions for enhanced security, plus monitor all data flows.
Are there any limitations to the MySQL and Feedly integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: