- name
- smart-research
- description
- 多引擎搜索 + 多级降级抓取 + 结构化研究结果。零API Key，一键完成搜索+抓取+融合。
- homepage
- https://github.com/xx235300/smart-research
- metadata
- openclaw
- emoji
- 🔍
- requires
- bins
- ["python3", "uv"]
- env
- []
smart-research
Universal research skill — multi-engine search + multi-layer fallback fetching + structured results.
Features
- 🔍 Multi-Engine Search: Baidu, DuckDuckGo, Bing with automatic fallback
- 🔄 Multi-Layer Fallback Fetching: crawl4ai → Jina → markdown.new → defuddle → Playwright
- 📊 Structured Output: title / body / href / source_type / fetch_method / fetched_at
- 🚀 Zero API Key: All services are free
- 📦 One-Click Research: Single
research()action for search + fetch + fusion
Architecture
┌─────────────────────────────────────────────┐
│ smart-research 统一入口 │
└─────────────────────────────────────────────┘
│
┌─────────────────┼─────────────────┐
▼ ▼ ▼
┌────────┐ ┌────────┐ ┌────────┐
│ Search │ │ Fetch │ │ Fusion │
│ Layer │ │ Layer │ │ Layer │
└────────┘ └────────┘ └────────┘Usage
Python API
result = main({
"action": "research",
"query": "Python tutorial",
"num_results": 5,
"crawl_depth": 3
})Search Only
result = main({
"action": "search",
"query": "machine learning latest research",
"num_results": 5
})Fetch Only
result = main({
"action": "fetch",
"url": "https://example.com/article"
})Deep Search
result = main({
"action": "deep_search",
"query": "AI agent trends 2024",
"num_results": 5
})Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
action | string | Yes | - | Operation type: research, search, fetch, deep_search |
query | string | Conditional | - | Search query (required for research/search/deep_search) |
url | string | Conditional | - | Target URL (required for fetch) |
num_results | int | No | 5 | Number of search results (1-20) |
crawl_depth | int | No | 3 | Number of top results to fetch details (1-10) |
Output Format
Research Result
{
"success": true,
"query": "Python tutorial",
"search_results": [
{
"title": "Result title",
"href": "https://example.com",
"body": "Snippet content",
"score": 85.5,
"source_type": "baidu",
"fetch_method": "crawl4ai",
"fetched_at": "2024-01-01T12:00:00Z"
}
],
"message": "Research completed"
}Fetch Result
{
"success": true,
"url": "https://example.com",
"content": "# Article Title\
\
Clean markdown content...",
"source": "jina",
"fetched_at": "2024-01-01T12:00:00Z"
}Execution
type: script
script_path: scripts/smart_research.py
entry_point: main
dependencies:
- uv>=0.1.0
- requests>=2.28.0
- baidusearch>=1.0.3
- crawl4ai>=0.8.0
- playwright>=1.40.0Fetch Fallback Chain
Each URL automatically tries:
| Priority | Service | Timeout | Description |
|---|---|---|---|
| 1 | crawl4ai | 15s | AI-powered, local |
| 2 | Jina Reader | 10s | Free, no key needed |
| 3 | markdown.new | 8s | Simple pages |
| 4 | defuddle | 8s | Better noise reduction |
| 5 | Playwright | 30s | Dynamic rendering |
Privacy Notice
- Public web pages: Fully supported
- Private/internal URLs: Not supported by default
- Sensitive content: Requires user consent
Error Handling
- Returns
{"success": false, "message": "..."}on errors - Automatically falls back to next service
- Partial results returned if some fetches fail