/brightdata-cli

name: brightdata-cli
description: Guide for using the Bright Data CLI (`brightdata` / `bdata`) to scrape websites, search the web, extract structured data from 40+ platforms, manage proxy zones, and check account budget. Use this skill whenever the user wants to scrape a URL, search Google/Bing/Yandex, extract data from Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit or any other platform, check their Bright Data balance or zones, or do anything involving web data collection from the terminal. Also trigger when the user mentions brightdata, bdata, web scraping CLI, SERP API, or wants to install Bright Data skills into their coding agent.

Bright Data CLI

The Bright Data CLI (`brightdata` or `bdata`) gives you full access to Bright Data's web data platform from the terminal. It handles authentication, proxy zones, anti-bot bypass, CAPTCHA solving, and JavaScript rendering automatically — the user just needs to log in once.

Installation

If the CLI is not installed yet, guide the user:

**macOS / Linux:**

curl -fsSL https://cli.brightdata.com/install.sh | bash

**Windows or manual install (any platform):**

npm install -g @brightdata/cli

**Without installing (one-off usage):**

npx --yes --package @brightdata/cli brightdata <command>

Requires Node.js >= 20. After install, both `brightdata` and `bdata` (shorthand) are available.

First-Time Setup

Before anything else, check if the user is authenticated. If they haven't logged in yet, guide them through the one-time setup:

# One-time login — opens the browser for OAuth, then everything is automatic
bdata login

This single command: 1. Opens the browser for secure OAuth authentication 2. Saves the API key locally (never needs to be entered again) 3. Auto-creates required proxy zones (`cli_unlocker`, `cli_browser`) 4. Sets default configuration

After login, every subsequent command works without any manual intervention.

For headless/SSH environments where no browser is available:

bdata login --device

For direct API key authentication (non-interactive):

bdata login --api-key <key>

To verify setup is complete, run:

bdata config

Command Reference

Read [references/commands.md](references/commands.md) for the full command reference with all flags, options, and examples for every command.

Read [references/pipelines.md](references/pipelines.md) for the complete list of 40+ pipeline types (Amazon, LinkedIn, Instagram, TikTok, YouTube, Reddit, and more) with their specific parameters.

Quick Command Overview

`bdata` is the shorthand for `brightdata`. Both work identically.

| Command | Purpose | |---------|---------| | `bdata scrape <url>` | Scrape any URL as markdown, HTML, JSON, or screenshot | | `bdata search "<query>"` | Search Google/Bing/Yandex with structured results | | `bdata pipelines <type> [params]` | Extract structured data from 40+ platforms | | `bdata pipelines list` | List all 40+ available pipeline types | | `bdata status <job-id>` | Check async job status | | `bdata zones` | List proxy zones | | `bdata budget` | View account balance and costs | | `bdata skill add` | Install AI agent skills | | `bdata skill list` | List available skills | | `bdata config` | View/set configuration | | `bdata login` | Authenticate with Bright Data | | `bdata version` | Show CLI version and system info |

How to Use Each Command

Scraping

Scrape any URL with automatic bot bypass, CAPTCHA handling, and JS rendering:

# Default: returns clean markdown
bdata scrape https://example.com

# Get raw HTML
bdata scrape https://example.com -f html

# Get structured JSON
bdata scrape https://example.com -f json

# Take a screenshot
bdata scrape https://example.com -f screenshot -o page.png

# Geo-targeted scrape from the US
bdata scrape https://amazon.com --country us

# Save to file
bdata scrape https://example.com -o page.md

# Async mode for heavy pages
bdata scrape https://example.com --async

Searching

Search engines with structured JSON output (Google returns parsed organic results, ads, People Also Ask, and related searches):

# Google search with formatted table
bdata search "web scraping best practices"

# Get raw JSON for piping
bdata search "typescript tutorials" --json

# Search Bing
bdata search "bright data pricing" --engine bing

# Localized search
bdata search "restaurants berlin" --country de --language de

# News search
bdata search "AI regulation" --type news

# Extract just URLs
bdata search "open source tools" --json | jq -r '.organic[].link'

Pipelines (Structured Data Extraction)

Extract structured data from 40+ platforms. These trigger async jobs that poll until results are ready:

# LinkedIn profile
bdata pipelines linkedin_person_profile "https://linkedin.com/in/username"

# Amazon product
bdata pipelines amazon_product "https://amazon.com/dp/B09V3KXJPB"

# Instagram profile
bdata pipelines instagram_profiles "https://instagram.com/username"

# Amazon search
bdata pipelines amazon_product_search "laptop" "https://amazon.com"

# YouTube comments (top 50)
bdata pipelines youtube_comments "https://youtube.com/watch?v=..." 50

# Google Maps reviews (last 7 days)
bdata pipelines google_maps_reviews "https://maps.google.com/..." 7

# Output as CSV
bdata pipelines amazon_product "https://amazon.com/dp/..." --format csv -o product.csv

# List all available pipeline types
bdata pipelines list

Checking Status

For async jobs (from `--async` scrapes or pipelines):

# Quick status check
bdata status <job-id>

# Wait until complete
bdata status <job-id> --wait

# With custom timeout
bdata status <job-id> --wait --timeout 300

Budget & Zones

# Quick account balance
bdata budget

# Detailed balance with pending charges
bdata budget balance

# All zones cost/bandwidth
bdata budget zones

# Specific zone costs
bdata budget zone my_zone

# Date range filter
bd