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Vinkius
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Vinkius
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Scrape and Structure Web Data Using Connectors.

Scraping tools break when websites change layouts. Browserbase gives your AI agent a real browser , it navigates, clicks, fills forms, reads dynamic content and extracts data from pages that defeat every traditional scraper

Explore All Connectors

Works with every AI agent you already use

…and any MCP-compatible client

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AI Agent
Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel

How It Works

Your AI agent does not scrape websites , it browses them like a human. Step 1: Tavily identifies target pages.

You say 'Find the top 20 AI startups that raised Series A in the last 3 months' and Tavily returns structured search results with URLs, descriptions, and funding context.

Step 2: Browserbase launches real browser sessions. For each target, the agent opens a browser, navigates to the page, handles cookie banners, scrolls past lazy-loaded content, clicks through pagination, and extracts the data you need , company name, funding amount, investors, team size, product description.

No CSS selectors to maintain. No XPath expressions to debug. The agent reads the page like a human reads it.

Step 3: Google Sheets receives the structured dataset. 20 companies, 8 data fields each, with source URLs and extraction timestamps.

Next week, the agent re-runs and highlights what changed: 'CompanyX updated their pricing page. CompanyY added 3 new team members.

CompanyZ removed their free tier.' Change detection without maintaining a single line of scraping code.

Connector Orchestration: 3 Connectors, one intelligent agent

Connect Browserbase, Tavily and Google Sheets Connectors so your AI agent launches headless browser sessions to navigate, interact with and extract data from complex web applications that require JavaScript rendering, authentication, or dynamic content loading , while Tavily provides structured search context for discovery, and Google Sheets stores the extracted data in organized datasets. AI builders, data engineers and researchers who need data from websites that have no API, defeat traditional scrapers with JavaScript rendering, require login flows, or hide data behind interactive UI elements , and are tired of maintaining fragile scraping scripts that break every time a CSS class name changes.

Run This Automation Today

Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.

Build Your Own Connector

Convert any internal API into a Connector. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Connect & Automate

The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.

  • Browserbase, Tavily & Google Sheets ready in the catalog right now
  • Add more from 5,800+ servers whenever you need
  • Connections are secured and compliant by default
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers and recipes added weekly

Superpowers you didn't know your AI had

The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer was built for.

Superpower 01

Cross-Platform Intelligence

Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across all platforms.

Superpower 02

Contextual Reasoning

Each decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.

Superpower 03

Productivity at Scale

What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.

Superpower 04

Zero-Config Reliability

No API keys to paste. No webhooks to configure. No YAML to debug. Connect your Connectors once, and your agent handles the rest. Each time, without intervention.

Made for exactly this

Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.

AI builders extracting training data from websites that have no API and defeat traditional scraping tools

Startup founders tracking competitor pricing, team changes and product updates across 20 websites automatically

Researchers collecting structured datasets from dynamic web applications that require JavaScript rendering and interaction

Data engineers replacing fragile Selenium and Puppeteer scripts with AI-powered browser sessions that self-heal when layouts change

Frequently Asked Questions About This Connector Orchestration

Which Connectors do I need for this workflow?

Three: Browserbase, Tavily and Google Sheets. Connect all three to your AI client before running any prompt from this page.

Does this work with Claude Desktop, Cursor or Windsurf?

Yes. Any AI client supporting the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.

Is this legal? Is it ethical web scraping?

Browserbase accesses only publicly available web pages , the same content any visitor sees in their browser. Always respect robots.txt and terms of service for each target website.

Is my extracted data secure?

Connectors authenticate through API keys. Browser sessions run in Browserbase's isolated infrastructure. Extracted data goes to your Google Sheets account. Vinkius does not store your data.

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