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Enrich Memberstack user profiles with gender data from Gender API. Latenode’s visual editor makes it easy to add this detail, unlocking personalized experiences. Plus, scale affordably by paying only for execution time.
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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 Memberstack, triggered by another scenario, or executed manually (for testing purposes). In most cases, Memberstack or Ghost will be your first step. To do this, click "Choose an app," find Memberstack or Ghost, and select the appropriate trigger to start the scenario.

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

Memberstack
Click on the Memberstack node to configure it. You can modify the Memberstack 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 Memberstack node, select Ghost from the list of available apps, and choose the action you need from the list of nodes within Ghost.

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Ghost
Now, click the Ghost node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Ghost settings. Authentication allows you to use Ghost 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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Ghost
Trigger on Webhook
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Memberstack
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Iterator
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Webhook response
After configuring Memberstack, Ghost, 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 Memberstack and Ghost integration works as expected. Depending on your setup, data should flow between Memberstack and Ghost (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Memberstack + Gender API + Airtable: When a new member signs up in Memberstack, the Gender API determines their gender based on their name. This gender information, along with other member details, is then logged in Airtable for demographic analysis.
Memberstack + Gender API + Slack: When a new member joins Memberstack, the Gender API attempts to determine their gender using their name. If the Gender API cannot confidently identify the gender, a message is sent to a designated Slack channel to request clarification from a team member.
About Memberstack
Automate Memberstack user management with Latenode. Create workflows to onboard/offboard users based on triggers in other apps. Use webhooks to sync data, grant access, or update profiles. Connect Memberstack to CRMs, email tools, or databases for automated membership lifecycle management—all visually, without code, and at scale.
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About Ghost
Integrate Ghost with Latenode to automate content workflows. Automatically publish new posts, manage member data, or trigger email campaigns. Use Latenode's visual editor and flexible nodes to build custom workflows around Ghost, bypassing manual tasks and scaling content operations without code. Connect Ghost to other apps to streamline your publishing process.
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How can I connect my Memberstack account to Gender API using Latenode?
To connect your Memberstack account to Gender API on Latenode, follow these steps:
Can I personalize content based on predicted gender?
Yes! Latenode's visual editor makes it simple to trigger personalized content in Memberstack using Gender API, boosting engagement with tailored user experiences.
What types of tasks can I perform by integrating Memberstack with Gender API?
Integrating Memberstack with Gender API allows you to perform various tasks, including:
How can I use Memberstack data to improve gender prediction accuracy?
Combine Memberstack profile data with Gender API in Latenode for more accurate predictions, refining user segmentation and personalization strategies.
Are there any limitations to the Memberstack and Gender API integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: