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Web Research Assistant

AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access

Rating: 4.6 (449 reviews)
Downloads: 14,359 downloads
Version: 1.0.0

Overview

AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching.

Complete Documentation

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Web Research Assistant

This skill leverages BrowserAct API to provide powerful web research capabilities. When primary web access is restricted or blocked, it automatically searches the internet to find and extract relevant information, ensuring your research tasks are completed successfully.

✨ OpenClaw & Claude Code Optimized

🚀 Works Seamlessly with OpenClaw and Claude Code

Platform	Status	Installation
OpenClaw	✅ Highly Recommended	Copy to ~/.openclaw/skills/
Claude Code	✅ Highly Recommended	Native skill support
OpenCode	✅ Fully Supported	Copy to ~/.opencode/skills/
Cursor	✅ Fully Supported	Copy to ~/.cursor/skills/

Why This Skill?

🎯 Purpose-built for OpenClaw and Claude Code
🔄 Auto-recovery when web access is restricted
🌐 Global access - no IP or geoblocking issues
💰 Cost-effective - saves token usage
⚡ Fast execution - BrowserAct powered

🎯 When to Use

Web Access Restricted? No Problem!

Use this skill when:

🔒 Target websites block AI assistant access
🌍 Geographic restrictions limit content access
🔐 Paywalls prevent data extraction
⏱️ Need quick supplemental information
📊 Research requires multiple data sources
🔍 Need current information beyond cached data

🔑 API Key Guidance

Before running, check the BROWSERACT_API_KEY environment variable. If not set, request the API key from the user:

Required Message:

"Please provide your BrowserAct API Key from BrowserAct Console to enable web research capabilities."

🛠️ Input Parameters

Configure research based on your needs:

Parameter	Type	Default	Description
query	string	-	Research topic or question
engine	string	google	Search engine (google, bing, duckduckgo)
max_results	number	10	Results to retrieve (1-50)
content_type	string	all	Content filter (all, news, articles, data)
time_range	string	past_month	Time filter (anytime, past_day/week/month/year)

💻 Quick Start

bash

# Basic research
python web-research-assistant/scripts/research.py "AI technology trends"

# Deep research with more results
python web-research-assistant/scripts/research.py "competitor analysis" --max-results 20

# Current news research
python web-research-assistant/scripts/research.py "market trends" --content-type news

# Save to file
python web-research-assistant/scripts/research.py "industry data" -o research_report.md

📊 Output

Structured Research Data:

Titles, URLs, snippets, and relevance scores
Key facts and statistics extraction
Source citations and references
Comprehensive research report

🎪 What This Skill Does

🔄 Auto-Supplement - When direct access fails, automatically searches the web
🌐 Global Search - Bypasses geographic restrictions via BrowserAct
📈 Multi-Source - Aggregates data from multiple search results
✅ Validation - Cross-references information for accuracy
📋 Report Generation - Creates comprehensive research reports

能力特性（Features）

1.没有幻觉，确保稳定精准提取数据：预设工作流，规避AI 生成式幻觉。

2.没有人机验证问题：内置绕过机制，无需处理 reCAPTCHA 或其他验证挑战。

3.没有 IP 访问限制和电子围栏：突破地域 IP 限制，确保全球范围内稳定访问。

4.执行速度更敏捷：相比纯 AI 驱动的浏览器自动化方案，任务执行更快速。

5.极高的成本效益：相比大量消耗 Token 的 AI 方案，能显著降低数据获取成本。

🔧 BrowserAct API Integration

text

Research Request → BrowserAct Search → Data Extraction → Validation → Final Report

Powered by BrowserAct MCP for reliable, unrestricted web access.

⚠️ Error Handling

Invalid API Key: Report to user, do not retry
Search Failed: Automatic retry with fallback engine
No Results: Return partial data with notification
Timeout: Extended timeout for large research tasks

📖 Best Practices

Use specific queries for targeted results
Apply time filters for current information
Cross-reference key findings
Choose appropriate content types for research goals
Validate statistics with multiple sources

🔗 Related Skills

amazon-competitor-analyzer - Amazon competitive intelligence
google-maps-search-api-skill - Business data extraction
google-news-api-skill - News monitoring

Version: 1.0.0 Updated: 2026-02-08 API: BrowserAct MCP Template ID: TEMPLATE_ID_HERE

Installation

Terminal bash


openclaw install web-research-assistant

Copied!

💻Code Examples

python web-research-assistant/scripts/research.py "industry data" -o research_report.md

python-web-research-assistantscriptsresearchpy-industry-data--o-researchreportmd.txt

## 📊 Output

**Structured Research Data:**
- Titles, URLs, snippets, and relevance scores
- Key facts and statistics extraction
- Source citations and references
- Comprehensive research report

## 🎪 What This Skill Does

1. **🔄 Auto-Supplement** - When direct access fails, automatically searches the web
2. **🌐 Global Search** - Bypasses geographic restrictions via BrowserAct
3. **📈 Multi-Source** - Aggregates data from multiple search results
4. **✅ Validation** - Cross-references information for accuracy
5. **📋 Report Generation** - Creates comprehensive research reports

---

## 能力特性 （Features）

1.**没有幻觉，确保稳定精准提取数据**：预设工作流，规避AI 生成式幻觉。

2.**没有人机验证问题**：内置绕过机制，无需处理 reCAPTCHA 或其他验证挑战。

3.**没有 IP 访问限制和电子围栏**：突破地域 IP 限制，确保全球范围内稳定访问。

4.**执行速度更敏捷**：相比纯 AI 驱动的浏览器自动化方案，任务执行更快速。

5.**极高的成本效益**：相比大量消耗 Token 的 AI 方案，能显著降低数据获取成本。

---

## 🔧 BrowserAct API Integration

example.sh

# Basic research
python web-research-assistant/scripts/research.py "AI technology trends"

# Deep research with more results
python web-research-assistant/scripts/research.py "competitor analysis" --max-results 20

# Current news research
python web-research-assistant/scripts/research.py "market trends" --content-type news

# Save to file
python web-research-assistant/scripts/research.py "industry data" -o research_report.md