Connect Reddit and Neo4j to Build Intelligent Automations
Enable Integrations or automations with these events of Reddit and Neo4j
Enable Integrations or automations with these events of Reddit and Neo4j
Triggers
New Hot Post
Triggers when new posts in one or more subreddits' hot feeds within a recent time window and returns matching posts.
New Post
Retrieve recent posts from one or more subreddits within a time window. Optionally filter by comma-separated search phrases in titles or post bodies and control case sensitivity and how many pages to check.
Actions
Create Reddit Post
Publish a text or link post to a subreddit using a title and content or URL.
Create Comment
Post a new reply on Reddit to a post or another comment using the provided parent ID and comment text.
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Frequently Asked Questions
To start, connect both your Reddit and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Reddit triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Reddit data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between Reddit and Neo4j 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 Reddit and Neo4j. 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 Reddit
Reddit is a network of communities where people can dive into their interests, hobbies, and passions. Users can post content, participate in discussions, and vote on posts and comments to determine their visibility.
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About Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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