Connect Tumblr and MongoDB to Build Intelligent Automations
Enable Integrations or automations with these events of Tumblr and MongoDB
Enable Integrations or automations with these events of Tumblr and MongoDB
Triggers
New Liked Post
Triggers whenever you "like" a post on Tumblr.
New Tagged Post
Triggers when a new post is created on any blog with a specific tag you choose.
New Post in Dashboard
Triggers when a new post is added by someone you follow on Tumblr.
New Post in My Blog
Triggers when a new post is created in a specific blog you own.
Actions
Create Link Post
Creates a new link post.
Create Text Post
Creates a new text post.
Create Audio Post
Creates a new audio post.
Create Photo Post
Creates a new photo post.
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Frequently Asked Questions
To start, connect both your Tumblr and MongoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Tumblr triggers actions in MongoDB (or vice versa).
Absolutely. You can customize how Tumblr data is recorded in MongoDB. This includes choosing which data fields go into which fields of MongoDB, setting up custom formats, and filtering out unwanted information.
The data sync between Tumblr and MongoDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Tumblr and MongoDB. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Tumblr
Tumblr is a microblogging and social networking website that allows users to post multimedia and other content to a short-form blog. Users can follow other users' blogs, as well as make their blogs private.
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About MongoDB
MongoDB is a leading NoSQL database platform that provides a flexible and scalable solution for managing large volumes of data. It is designed to handle unstructured data and offers high performance, high availability, and easy scalability.
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