Feedly and Streamtime Integration

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Automatically create Streamtime tasks from Feedly articles using Latenode’s visual editor, then customize task details via JavaScript. Pay only for execution time and streamline project workflows.

Swap Apps

Feedly

Streamtime

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Feedly and Streamtime

Create a New Scenario to Connect Feedly and Streamtime

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 Feedly, triggered by another scenario, or executed manually (for testing purposes). In most cases, Feedly or Streamtime will be your first step. To do this, click "Choose an app," find Feedly or Streamtime, and select the appropriate trigger to start the scenario.

Add the Feedly Node

Select the Feedly node from the app selection panel on the right.

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Configure the Feedly

Click on the Feedly node to configure it. You can modify the Feedly URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Streamtime Node

Next, click the plus (+) icon on the Feedly node, select Streamtime from the list of available apps, and choose the action you need from the list of nodes within Streamtime.

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Authenticate Streamtime

Now, click the Streamtime node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Streamtime settings. Authentication allows you to use Streamtime through Latenode.

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Sign In

Run node once

Configure the Feedly and Streamtime Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Feedly and Streamtime 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.
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Save and Activate the Scenario

After configuring Feedly, Streamtime, 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 Feedly and Streamtime integration works as expected. Depending on your setup, data should flow between Feedly and Streamtime (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Feedly and Streamtime

Feedly + Slack: When a new article appears in a Feedly feed, a message is sent to a specified Slack channel, keeping the team informed of relevant industry news or client information. The initial idea involved Streamtime, but its direct integration is limited in this context.

Streamtime + Feedly + Google Sheets: When a job is completed in Streamtime, relevant articles are retrieved from Feedly and appended to a Google Sheet for reporting purposes. This will involve creating a sheet if one is not already available and appending with the job and article information.

Feedly and Streamtime integration alternatives

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.

About Streamtime

Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.

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FAQ Feedly and Streamtime

How can I connect my Feedly account to Streamtime using Latenode?

To connect your Feedly account to Streamtime on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Feedly and click on "Connect".
  • Authenticate your Feedly and Streamtime accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically create Streamtime projects from Feedly articles?

Yes, you can! Latenode's visual editor and flexible logic let you trigger Streamtime project creation from Feedly articles, saving time and ensuring nothing is missed.

What types of tasks can I perform by integrating Feedly with Streamtime?

Integrating Feedly with Streamtime allows you to perform various tasks, including:

  • Create Streamtime tasks based on new articles in a specific Feedly category.
  • Generate project briefs in Streamtime from trending topics in Feedly.
  • Send Feedly article summaries to Streamtime as client update notes.
  • Log time spent researching topics in Feedly against Streamtime projects.
  • Notify team members in Streamtime about important industry news from Feedly.

How do I filter Feedly articles before sending data to Streamtime?

Use Latenode's data filters or JavaScript blocks to refine Feedly articles based on keywords before they reach Streamtime, ensuring data relevance.

Are there any limitations to the Feedly and Streamtime integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Historical data transfer from Feedly to Streamtime may require custom scripting.
  • Complex data transformations might necessitate JavaScript knowledge.
  • Real-time updates depend on Feedly and Streamtime API availability and rate limits.

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