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Bright Data Local Search

Free

Run local web searches with Bright Data's SERP API.

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Free · Opens the source repo

What Bright Data Local Search does

Bright Data Local Search enables developers to set up and execute web searches locally using the Bright Data SERP API. This skill utilizes the unfancy-search pipeline, which incorporates features such as query expansion, multi-engine SERP retrieval, and RRF reranking. It is designed for users who require a robust and customizable local search solution that can be easily integrated into their applications or workflows.

To get started, users must have a Bright Data account with SERP API access and optionally an Anthropic API key for enhanced query expansion. The setup process involves cloning the unfancy-search repository, configuring environment variables for API tokens, and running the local server via Docker or Node.js. Once the server is operational, users can interact with it through a set of defined API endpoints to submit search queries and retrieve results efficiently.

The skill supports various search modes, including basic searches for quick results and expanded searches that utilize AI to generate sub-queries for broader coverage. Users can also filter results by including or excluding specific domains, making it a versatile tool for targeted information retrieval. The results returned from the API include ranked URLs, domain clustering, and detailed information about search costs and durations, allowing for transparent usage tracking.

Bright Data Local Search is ideal for developers and researchers who need to perform extensive web searches while maintaining control over the search parameters and results. By running searches locally, users can ensure compliance with data privacy regulations and avoid potential limitations associated with hosted services.

When to use it

Use this skill when you need to perform localized web searches with customizable parameters and enhanced query capabilities.

When not to use it

This skill may not be suitable for users looking for a simple, hosted search solution or those without a Bright Data account.

What you can build with it

Integrating Search into Applications

Developers can integrate Bright Data Local Search into their applications to provide users with powerful search capabilities directly within the app.

Conducting Research with Enhanced Queries

Researchers can utilize the expanded search mode to generate multiple sub-queries, ensuring comprehensive coverage of their topics.

Customizing Search Parameters for Specific Needs

Users can customize search parameters such as geographic region and domain filtering to obtain highly relevant search results.

How to install Bright Data Local Search

View source

1. Install with the skills CLI

npx skills add davila7/claude-code-templates/brightdata-local-search --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by davila7

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
geostringGeographic 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

Frequently asked questions about Bright Data Local Search

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