Connect Tidyhire and MongoDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Candidate
Choose an Action
Automatically do this!
- Request a new Action for MongoDB
Enable Integrations or automations with these events of Tidyhire and MongoDB
Enable Integrations or automations with these events of Tidyhire and MongoDB
Triggers
New Candidate
Trigger when new candidate is added in project .
Actions
Get Project Detail
Get Project Detail
Get Candidate Detail
Get Candidate Detail
Get all Candidate by Project Id
Get all Candidate by Project Id
Create New Project
Create New Project
Change Candidate Stage Bulk
Change Candidate Stage Bulk
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Frequently Asked Questions
To start, connect both your Tidyhire and MongoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Tidyhire triggers actions in MongoDB (or vice versa).
Absolutely. You can customize how Tidyhire 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 Tidyhire 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 Tidyhire 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 Tidyhire
Tidyhire is a comprehensive platform designed to streamline the recruitment process, making it easier for businesses to find and hire the right talent. It offers tools for job posting, candidate tracking, and communication, ensuring a smooth and efficient hiring experience.
Learn MoreAbout 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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