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Browserless and Google Vertex AI integration
Save yourself the work of writing custom integrations for Browserless and Google Vertex AI and use n8n instead. Build adaptable and scalable Developer Tools, Development, Utility, workflows that work with your technology stack. All within a building experience you will love.
How to connect Browserless 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 Browserless and Google Vertex AI integration
Create custom Browserless 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 Browserless?
Crawl
Crawl a website and extract content from every page
Download
Download a file triggered by browser automation
Export
Fetch a URL and stream it in its native content type
Map URLs
Discover URLs on a site or within its sitemap
Generate a PDF document from a web page
Performance Audit
Run Lighthouse audits for performance, SEO, and accessibility
Run Function
Execute custom JavaScript/Puppeteer code server-side
Screenshot
Capture a screenshot of a page as PNG, JPEG, or WebP
Search
Search the web and return results
Smart Scrape
Scrape a page with automatic fallbacks for blocked or JS-heavy sites
Supported API Endpoints for Google Vertex AI
POST
Generate content
This endpoint generates content based on the input provided.
/vertex-ai/generative-ai/docs/model-reference/inference
POST
Call function
This endpoint allows for calling functions as part of the generative tasks.
/vertex-ai/generative-ai/docs/model-reference/function-calling
POST
Ground content
This endpoint grounds the content to ensure relevance and context.
/vertex-ai/generative-ai/docs/model-reference/grounding
GET
List API errors
This endpoint retrieves potential API errors that can occur during requests.
/vertex-ai/generative-ai/docs/model-reference/api-errors
POST
Generate text embeddings
This endpoint generates embeddings for given text inputs.
/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api
POST
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
/vertex-ai/generative-ai/docs/model-reference/multimodal-embeddings-api
POST
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
/vertex-ai/generative-ai/docs/model-reference/imagen-api
GET
Use code completions
API for generating code completion suggestions.
/vertex-ai/generative-ai/docs/model-reference/code-completion
GET
Perform batch predictions
API for executing batch predictions on data.
/vertex-ai/generative-ai/docs/model-reference/batch-prediction-api
POST
Batch prediction
API for performing batch prediction.
/vertex-ai/generative-ai/docs/model-reference/batch-prediction-api
GET
Tune models
API for tuning machine learning models.
/vertex-ai/generative-ai/docs/model-reference/tuning
POST
Tuning model parameters
API for tuning model parameters.
/vertex-ai/generative-ai/docs/model-reference/tuning
GET
Rapid evaluation
API for quickly evaluating model performance.
/vertex-ai/generative-ai/docs/model-reference/evaluation
POST
Evaluate model performance
API for rapid evaluation of models.
/vertex-ai/generative-ai/docs/model-reference/evaluation
GET
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
/vertex-ai/generative-ai/docs/model-reference/rag-api
GET
Manage extensions
API for managing custom extensions.
/vertex-ai/generative-ai/docs/model-reference/extension
POST
Manage extensions
API for handling extensions.
/vertex-ai/generative-ai/docs/model-reference/extension
GET
Count tokens
API for counting tokens in text inputs.
/vertex-ai/generative-ai/docs/model-reference/count-tokens
GET
Use reasoning engine
API for performing reasoning tasks.
/vertex-ai/generative-ai/docs/model-reference/reasoning-engine
POST
Utilize reasoning engine
API for using the reasoning engine capabilities.
/vertex-ai/generative-ai/docs/model-reference/reasoning-engine
GET
Use MedLM API
API for accessing medical language models.
/vertex-ai/generative-ai/docs/model-reference/medlm
POST
Access MedLM
API for accessing MedLM functionality.
/vertex-ai/generative-ai/docs/model-reference/medlm
POST
Generate and edit images
API for generating and editing images.
/vertex-ai/generative-ai/docs/model-reference/code-completion
POST
Access LlamaIndex
API for accessing LlamaIndex functionality.
/vertex-ai/generative-ai/docs/model-reference/rag-api
POST
Count tokens
API for counting tokens in text.
/vertex-ai/generative-ai/docs/model-reference/count-tokens
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!
Browserless 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.
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FAQs
FAQ
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