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Woodpecker
Google Gemini AI

Connect Woodpecker and Google Gemini AI

Explore ready-made Woodpecker and Google Gemini AI templates and start automating in minutes.

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Create a custom workflow

Integrate Woodpecker 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.

Woodpecker
Trigger: Watch Email Opened
Google Gemini AI
Action: Select an action
1. Select a trigger

  • Triggers when a prospect opens your email (for the first time).

  • Triggers when Woodpecker sends email to particular prospect .

  • Triggers when you get an auto-reply and you set a date to resume follow-ups.

  • Triggers when a prospect clicks on a link in your email.

  • Triggers when an auto-reply is detected by Woodpecker or if you manually change a prospect’s status to ‘Autoreplied’.

  • Triggers when prospect unsubscribe or when it is marked as 'Blacklist'.

  • Triggers when your email was bounced and a prospect is marked as ‘Bounced’.

  • Triggers when a prospect is marked as ‘Interested’.

  • Triggers when the prospect's email address is marked as ‘Invalid’.

  • Triggers when a prospect is marked as ‘Maybe later’.

  • Triggers when a prospect is marked as ‘Not interested’.

  • Triggers when a prospect replies or their status is manually changed to "Replied".

2. Select an action

  • Creates a new file search store.

  • Deletes a file from a selected files search store.

  • Deletes a file search store.

  • Extracts structured data from text or files.

  • Generates a response for the provided input.

  • Generates a video using the general purpose Gemini model family.

  • Generates a video using the Veo models.

  • Generates an image using Gemini's image generation capabilities.

  • Generates an image using the imagen models.

  • Generate vector representations (embeddings) for the text or file you provide.

  • Generate high-quality, stereo audio from text prompts or from images.

  • Generates an audio file based on text input and settings.

  • Returns detailed information about a file in a file search store.

  • Retrieves details about a file search store.

  • Retrieves the full details of a single interaction (e.g. from a deep research agent).

  • Performs an arbitrary authorized API call.

  • Runs a deep research agent by Gemini.

  • Generates text responses from prompts without requiring an account or connection.

  • Uploads a file so it can be used in the completions or in file search stores.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Woodpecker and Google Gemini AI.

Add Prospects to a Campaign
Adds prospects to the selected campaign.
Action
Create a file search store
Creates a new file search store.
Action
Create a Prospect
Creates an array of new prospects.
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
Delete a Prospect
Deletes an existing prospect.
Action
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
Generate a video
Generates a video using the general purpose Gemini model family.
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.