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mtsatryan
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webvoyager

Automate multimodal web tasks with visual and textual page understanding.

1|Updated Apr 23, 2026
Search Tags:#workflow#multimodal#browser#data-extraction#web-automation#form-filling#set-of-marks
One-click install
npx skills add https://github.com/mtsatryan/openclaw-ai-agents --skill webvoyager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: webvoyager
Source: https://github.com/mtsatryan/openclaw-ai-agents/tree/main/webvoyager
Command: npx skills add https://github.com/mtsatryan/openclaw-ai-agents --skill webvoyager

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

WebVoyager reduces the manual burden of completing complex web tasks by combining visual and textual understanding to autonomously navigate, interact, and extract data from websites.

Core Features & Use Cases

  • Multimodal page understanding (text + visuals) for accurate element identification
  • Autonomous web navigation and interaction, including form filling and data extraction
  • Set-of-Marks visual annotation to clarify decisions and track progress
  • End-to-end task completion and cross-site workflow automation for tasks like ecommerce research, onboarding, or data gathering

Quick Start

Provide a start URL and a clear task objective, and WebVoyager will autonomously navigate, interact with the page, fill forms, extract data, and annotate results.

Frequently Asked Questions about webvoyager

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate web tasks using both visual and textual page content?▼

To automate web tasks with multimodal understanding, provide a start URL and a clear objective. The system autonomously navigates pages, identifies elements via text and visuals, fills forms, and extracts data while tracking progress using set-of-marks annotation.

What is set-of-marks annotation in browser automation?▼

Set-of-marks annotation is a visual cue mechanism in browser automation that clarifies element identification decisions. It visually tags interactive elements to help systems track progress and ensure accurate autonomous navigation and data extraction.

Can I use autonomous web navigation for cross-site data extraction workflows?▼

Yes, autonomous web navigation supports cross-site workflow automation for data extraction. It executes end-to-end tasks across e-commerce, research, and data-gathering scenarios by combining DOM/ARIA extraction with multimodal page understanding.

Does multimodal web automation require manual DOM element selection?▼

Multimodal web automation does not require manual DOM element selection. It combines visual understanding with DOM/ARIA extraction to autonomously identify and interact with web elements, reducing the manual burden of complex web tasks.

How do I get detailed action logs for autonomous web navigation sessions?▼

You obtain detailed action logs for traceability by running autonomous web navigation sessions. The system generates comprehensive logs of interactions and decisions, ensuring full traceability for end-to-end task completion and data extraction.

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