baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/15914355527/baidu-search-v2Baidu Search
Search the web via Baidu AI Search API.
Usage
python3 skills/baidu-search/scripts/search.py '<JSON>'
Request Parameters
| Param | Type | Required | Default | Description |
|---|---|---|---|---|
| query | str | yes | - | Search query |
| count | int | no | 10 | Number of results to return, range 1-50 |
| freshness | str | no | Null | Time range, two formats: format one is ”YYYY-MM-DDtoYYYY-MM-DD“, and format two includes pd, pw, pm, and py, representing the past 24 hours, past 7 days, past 31 days, and past 365 days respectively |
Examples
# Basic search
python3 scripts/search.py '{"query":"人工智能"}'
# Freshness first format "YYYY-MM-DDtoYYYY-MM-DD" example
python3 scripts/search.py '{
"query":"最新新闻",
"freshness":"2025-09-01to2025-09-08"
}'
# Freshness second format pd、pw、pm、py example
python3 scripts/search.py '{
"query":"最新新闻",
"freshness":"pd"
}'
# set count, the number of results to return
python3 scripts/search.py '{
"query":"旅游景点",
"count": 20,
}'
Current Status
Fully functional.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-15914355527-baidu-search-v2": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
ocr-local
Extract text from images using Tesseract.js OCR (100% local, no API key required). Supports Chinese (simplified/traditional) and English.
tavily-search
Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.
exa-web-search-free
Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI.