L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Données et recherche · SKILL.md

brightdata-local-search

brightdata-local-search

Set up and run local web searches using Bright Data SERP API with the unfancy-search pipeline (query expansion, SERP retrieval, RRF reranking).

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: brightdata-local-search description: Set up and run local web searches using Bright Data SERP API with the unfancy-search pipeline (query expansion, SERP retrieval, RRF reranking).

Bright Data Local Search

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.

Prerequisites

Setup

Step 1: Clone and Configure

git clone https://github.com/yaronbeen/unfancy-search.git
cd unfancy-search
cp .env.example .env

Step 2: Set Environment Variables

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)

Step 3: Start the Local Server

Docker (recommended):

docker compose up -d
# Server runs at http://localhost:3000

Node.js:

pnpm install
pnpm dev
# Server runs at http://localhost:3000

API Endpoints

All requests go to http://localhost:3000:

EndpointMethodDescription
/api/searchPOSTStart a search job
/api/search-status/{jobId}GETPoll for results
/api/baselinePOSTTrigger baseline collection
/api/baseline-status/{id}GETPoll baseline progress

Running a Search

Step 1: Submit Search

curl -X POST http://localhost:3000/api/search \
  -H "Content-Type: application/json" \
  -d '{"query": "your search term"}'

The response returns a jobId.

Step 2: Poll for Results

curl http://localhost:3000/api/search-status/{jobId}

Poll every 3 seconds until status is "done".

Search Parameters

ParameterTypeDefaultDescription
querystringrequiredSearch query
expandbooleanfalseEnable AI query expansion via Claude
researchbooleanfalseResearch mode (12 sub-queries for max coverage)
enginesstring[]allSERP engines to use
geostring—Geographic region filter
countnumber10Max results (up to 10)
includeDomainsstring[]—Only include results from these domains
excludeDomainsstring[]—Exclude results from these domains

Search Modes

  • Basic (expand: false): Single query, fastest, no AI cost
  • Expanded (expand: true): Claude Haiku generates 3 sub-queries for broader coverage
  • Research (research: true): 12 sub-queries for maximum coverage

Usage Examples

Basic Search from an Agent

# 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

Research Mode with Domain Filtering

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"]
  }'

Adding Search to an Existing Agent

To give your Claude Code agent search capabilities:

  1. Ensure the local server is running (docker compose up -d in the unfancy-search directory)
  2. Your agent can use curl or fetch to query http://localhost:3000/api/search
  3. Parse the ranked results to ground responses with real web data

Response Format

Results include:

  • Ranked URLs with RRF scores
  • Domain clustering (grouped by source)
  • Cost transparency (per-search expense breakdown)
  • Raw and unique result counts
  • Search duration

Troubleshooting

IssueSolution
Server won't startVerify Docker is running or Node.js 18+ installed
No results returnedCheck BRIGHT_DATA_API_TOKEN is valid and SERP API zone is active
Query expansion not workingVerify ANTHROPIC_API_KEY is set and valid
Slow responsesDisable expand mode for faster single-query searches
Port 3000 in useStop other services or modify the port in docker-compose.yml
Skills enregistrées