Set up and run local web searches using Bright Data SERP API with the unfancy-search pipeline (query expansion, SERP retrieval, RRF reranking).
复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-brightdata-local-search-09edb5326605 ,按照其中的说明把「brightdata-local-search」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
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Run powerful web searches locally using Bright Data's SERP API. This skill sets up the unfancy-search pipeline — a local search engine with query expansion, multi-engine SERP retrieval, RRF reranking, deduplication, and domain clustering.
Important: This skill uses the LOCAL version only. Do not use the hosted endpoint.
git clone https://github.com/yaronbeen/unfancy-search.git
cd unfancy-search
cp .env.example .env
Edit .env with your credentials:
BRIGHT_DATA_API_TOKEN=your_brightdata_token
BRIGHT_DATA_SERP_ZONE=serp_api1
ANTHROPIC_API_KEY=your_anthropic_key # Optional: enables AI query expansion
Get your Bright Data token from: https://brightdata.com (SERP API section)
Docker (recommended):
docker compose up -d
# Server runs at http://localhost:3000
Node.js:
pnpm install
pnpm dev
# Server runs at http://localhost:3000
All requests go to http://localhost:3000:
| Endpoint | Method | Description |
|---|---|---|
/api/search | POST | Start a search job |
/api/search-status/{jobId} | GET | Poll for results |
/api/baseline | POST | Trigger baseline collection |
/api/baseline-status/{id} | GET | Poll baseline progress |
curl -X POST http://localhost:3000/api/search \
-H "Content-Type: application/json" \
-d '{"query": "your search term"}'
The response returns a jobId.
curl http://localhost:3000/api/search-status/{jobId}
Poll every 3 seconds until status is "done".
| Parameter | Type | Default | Description |
|---|---|---|---|
query | string | required | Search query |
expand | boolean | false | Enable AI query expansion via Claude |
research | boolean | false | Research mode (12 sub-queries for max coverage) |
engines | string[] | all | SERP engines to use |
geo | string | — | Geographic region filter |
count | number | 10 | Max results (up to 10) |
includeDomains | string[] | — | Only include results from these domains |
excludeDomains | string[] | — | Exclude results from these domains |
expand: false): Single query, fastest, no AI costexpand: true): Claude Haiku generates 3 sub-queries for broader coverageresearch: true): 12 sub-queries for maximum coverage# Start search
JOB_ID=$(curl -s -X POST http://localhost:3000/api/search \
-H "Content-Type: application/json" \
-d '{"query": "best practices for API rate limiting"}' | jq -r '.jobId')
# Poll until done
while true; do
RESULT=$(curl -s http://localhost:3000/api/search-status/$JOB_ID)
STATUS=$(echo $RESULT | jq -r '.status')
if [ "$STATUS" = "done" ]; then
echo $RESULT | jq '.results'
break
fi
sleep 3
done
curl -X POST http://localhost:3000/api/search \
-H "Content-Type: application/json" \
-d '{
"query": "kubernetes scaling strategies",
"research": true,
"excludeDomains": ["pinterest.com", "quora.com"]
}'
To give your Claude Code agent search capabilities:
docker compose up -d in the unfancy-search directory)curl or fetch to query http://localhost:3000/api/searchResults include:
| Issue | Solution |
|---|---|
| Server won't start | Verify Docker is running or Node.js 18+ installed |
| No results returned | Check BRIGHT_DATA_API_TOKEN is valid and SERP API zone is active |
| Query expansion not working | Verify ANTHROPIC_API_KEY is set and valid |
| Slow responses | Disable expand mode for faster single-query searches |
| Port 3000 in use | Stop other services or modify the port in docker-compose.yml |