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Linkup API for LinkedIn
Google Gemini AI

Connect Linkup API for LinkedIn and Google Gemini AI

Explore ready-made Linkup API for LinkedIn and Google Gemini AI templates and start automating in minutes.

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Create a custom workflow

Integrate Linkup API for LinkedIn with Google Gemini AI and automate the work that moves between them — no code required.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Google Gemini AI
Trigger: Watch events
Linkup API for LinkedIn
Action: Select an action
1. Select a trigger

  • Triggers when a long running task has finished.

2. Select an action

  • Accept a pending connection invitation using the invitation’s shared secret and entity URN.

  • Add a new comment to any LinkedIn post using the post URL.

  • Authenticates with LinkedIn credentials.

  • Closes an active job posting, making it no longer visible to candidates.

  • Creates a new post on LinkedIn with text content and an optional image attachment.

  • Creates a new job posting with detailed specifications including skills, screening questions, and workplace requirements.

  • Retrieves contact information from a LinkedIn profile.

  • Extracts information from a LinkedIn profile.

  • Retrieves comprehensive company information.

  • Retrieves a list of messaging conversations from LinkedIn inbox.

  • Gets LinkedIn connection recommendations.

  • Retrieves the CV/resume document for a specific candidate application.

  • Gets your LinkedIn profile information.

  • Add a like reaction to any LinkedIn post using the post URL.

  • Makes a custom API call to any LinkupAPI endpoint with automatic authentication.

  • Publishes a created job posting to make it live and visible to candidates.

  • Send a connection request to any LinkedIn profile with an optional custom message.

  • Send a direct message to any LinkedIn user. The message can be sent to either a new conversation or an existing one.

  • Verify the security code sent to your email during the LinkedIn authentication process. This endpoint should be called after receiving the verification code from the login endpoint.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Linkup API for LinkedIn and Google Gemini AI.

Accept a Connection Invitation
Accept a pending connection invitation using the invitation’s shared secret and entity URN.
Action
Add a Comment to a Post
Add a new comment to any LinkedIn post using the post URL.
Action
Authenticate a User
Authenticates with LinkedIn credentials.
Action
Close a Job Action
Closes an active job posting, making it no longer visible to candidates.
Action
Create a file search store
Creates a new file search store.
Action
Create a Post
Creates a new post on LinkedIn with text content and an optional image attachment.
Action
Create Job
Creates a new job posting with detailed specifications including skills, screening questions, and workplace requirements.
Action
Delete a file in a file search store
Deletes a file from a selected files search store.
Action
Delete a file search store
Deletes a file search store.
Action
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FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.