Connect Teamtailor and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of Teamtailor and Labelf
Enable Integrations or automations with these events of Teamtailor and Labelf
Actions
Create Note
Creates a new note on a candidate.
Update Candidate
Updates an already existing candidate.
Update Job
Updates an already existing candidate.
Find Candidate
Finds a candidate by email.
Create Job
Creates a New Job
Create Candidate
Create a new Candidate
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- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
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Frequently Asked Questions
To start, connect both your Teamtailor and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Teamtailor triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Teamtailor data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Teamtailor and Labelf 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 Teamtailor and Labelf. 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 Teamtailor
Teamtailor is a recruitment and employer branding ATS (Applicant Tracking System) designed to assist teams of all sizes to attract and hire talent efficiently and effectively. The platform integrates various capabilities such as job posting, applicant tracking, and candidate communication.
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About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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