Apify and Google Vertex AI integration
Save yourself the work of writing custom integrations for Apify and Google Vertex AI and use n8n instead. Build adaptable and scalable workflows that work with your technology stack. All within a building experience you will love.
How to connect Apify and Google Vertex AI
Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Build your own Apify and Google Vertex AI integration
Create custom Apify and Google Vertex AI workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
What can you do with Apify?
Run an Actor
Runs an Actor and immediately returns without waiting for the run to finish
Scrape Single URL
Scrape a single URL using the Apify Website Content Crawler Actor and get its content as text, markdown, and HTML
Get Last Run
Retrieves the most recent run of an Actor. This endpoint is useful for quickly accessing the latest run details, including its status and storages, without needing to specify a run ID.
Run Task
Runs an Actor task and immediately returns its details without waiting for the run to complete. You can optionally override the Actor’s input configuration by providing a custom body.
Get User Runs List
Gets a list of Actor runs for the user. This endpoint is useful for retrieving a history of runs, their statuses, and other data.
Get run
Gets the details of a specific Actor run by its ID. This endpoint is useful for retrieving information about a run, such as its status, storages, and other metadata.
Get runs
Gets a list of Actor runs. This endpoint is useful for retrieving a history of runs, their statuses, and other data.
Get Items
Retrieves items from a dataset
Get Key-Value Store Record
Gets a value stored in the key-value store under a specific key
Supported API Endpoints for Google Vertex AI
Generate content
This endpoint generates content based on the input provided.
Call function
This endpoint allows for calling functions as part of the generative tasks.
Ground content
This endpoint grounds the content to ensure relevance and context.
List API errors
This endpoint retrieves potential API errors that can occur during requests.
Generate text embeddings
This endpoint generates embeddings for given text inputs.
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
Use code completions
API for generating code completion suggestions.
Perform batch predictions
API for executing batch predictions on data.
Batch prediction
API for performing batch prediction.
Tune models
API for tuning machine learning models.
Tuning model parameters
API for tuning model parameters.
Rapid evaluation
API for quickly evaluating model performance.
Evaluate model performance
API for rapid evaluation of models.
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
Manage extensions
API for managing custom extensions.
Manage extensions
API for handling extensions.
Count tokens
API for counting tokens in text inputs.
Use reasoning engine
API for performing reasoning tasks.
Utilize reasoning engine
API for using the reasoning engine capabilities.
Use MedLM API
API for accessing medical language models.
Access MedLM
API for accessing MedLM functionality.
Generate and edit images
API for generating and editing images.
Access LlamaIndex
API for accessing LlamaIndex functionality.
Count tokens
API for counting tokens in text.
To set up Google Vertex AI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Google Vertex AI to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Google Vertex AI official documentation to get a full list of all API endpoints and verify the scraped ones!
Apify and Google Vertex AI integration details
Google Vertex AI
Google Vertex AI is a unified machine learning platform that enables developers to build, deploy, and manage models efficiently. It provides a wide range of tools and services, such as AutoML and datasets, to accelerate the deployment of AI solutions.
Related categories
FAQ
Can Apify connect with Google Vertex AI?
Can I use Apify’s API with n8n?
Can I use Google Vertex AI’s API with n8n?
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