Bright Data Best Practices logo

Bright Data Best Practices

Organization
brightdata
bright-data-best-practices

Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).

Overview

Publisherbrightdata
Repositoryskills
Skill namebright-data-best-practices
Stars
268
Forks
36
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by brightdata on GitHub. Read the source before you install it.

Installation

Install the Bright Data Best Practices AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/brightdata/skills/tree/main/skills/bright-data-best-practices
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/brightdata/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/bright-data-best-practices .claude/skills/bright-data-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bright Data Best Practices in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bright Data Best Practices on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bright Data Best Practices is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CLI Setup Reference

Install, authentication, and troubleshooting for the Bright Data CLI (bdata) are documented in a single canonical place:

→ references/cli-setup.md

Consult it before any task that shells out to bdata.

Bright Data APIs

Bright Data provides infrastructure for web data extraction at scale. Four primary APIs cover different use cases — always pick the most specific tool for the job.

Choosing the Right API

Use CaseAPIWhy
Scrape any webpage by URL (no interaction)Web UnlockerHTTP-based, auto-bypasses bot detection, cheapest
Google / Bing / Yandex search resultsSERP APISpecialized for SERP extraction, returns structured data
Structured data from Amazon, LinkedIn, Instagram, TikTok, etc.Web Scraper APIPre-built scrapers, no parsing needed
Click, scroll, fill forms, run JS, intercept XHRBrowser APIFull browser automation
Puppeteer / Playwright / Selenium automationBrowser APIConnects via CDP/WebDriver
Route your own HTTP client through a raw proxy (DC/ISP/Residential/Mobile)Proxy networksWhen you need direct proxy access with your own request logic instead of a managed API — see the proxy.md skill

Authentication Pattern (All APIs)

All APIs share the same authentication model. The env vars below apply to direct REST API integrations — if you are using the bdata CLI, bdata login handles all of these automatically (see references/cli-setup.md).

bash
export BRIGHTDATA_API_KEY="your-api-key"         # From Control Panel > Account Settings
export BRIGHTDATA_UNLOCKER_ZONE="zone-name"       # Web Unlocker zone name
export BRIGHTDATA_SERP_ZONE="serp-zone-name"      # SERP API zone name
export BROWSER_AUTH="brd-customer-ID-zone-NAME:PASSWORD"  # Browser API credentials

REST API authentication header for Web Unlocker and SERP API:

Authorization: Bearer YOUR_API_KEY

Web Unlocker API

HTTP-based scraping proxy. Best for simple page fetches without browser interaction.

Endpoint: POST https://api.brightdata.com/request

python
import requests

response = requests.post(
    "https://api.brightdata.com/request",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "zone": "YOUR_ZONE_NAME",
        "url": "https://example.com/product/123",
        "format": "raw"
    }
)
html = response.text

Key Parameters

ParameterTypeDescription
zonestringZone name (required)
urlstringTarget URL with http:// or https:// (required)
formatstring"raw" (HTML) or "json" (structured wrapper) (required)
methodstringHTTP verb, default "GET"
countrystring2-letter ISO for geo-targeting (e.g., "us", "de")
data_formatstringTransform: "markdown" or "screenshot"
asyncbooleantrue for async mode

Quick Patterns

python
# Get markdown (best for LLM input)
response = requests.post(
    "https://api.brightdata.com/request",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={"zone": ZONE, "url": url, "format": "raw", "data_format": "markdown"}
)

# Geo-targeted request
json={"zone": ZONE, "url": url, "format": "raw", "country": "de"}

# Screenshot for debugging
json={"zone": ZONE, "url": url, "format": "raw", "data_format": "screenshot"}

# Async for bulk processing
json={"zone": ZONE, "url": url, "format": "raw", "async": True}

Critical rule: Never use Web Unlocker with Puppeteer, Playwright, Selenium, or anti-detect browsers. Use Browser API instead.

See references/web-unlocker.md for complete reference including proxy interface, special headers, async flow, features, and billing.


SERP API

Structured search engine result extraction for Google, Bing, Yandex, DuckDuckGo.

Endpoint: POST https://api.brightdata.com/request (same as Web Unlocker)

python
response = requests.post(
    "https://api.brightdata.com/request",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "zone": "YOUR_SERP_ZONE",
        "url": "https://www.google.com/search?q=python+web+scraping&brd_json=1&gl=us&hl=en",
        "format": "raw"
    }
)
data = response.json()
for result in data.get("organic", []):
    print(result["rank"], result["title"], result["link"])

Essential Google URL Parameters

ParameterDescriptionExample
qSearch queryq=python+web+scraping
brd_jsonParsed JSON outputbrd_json=1 (always use for data pipelines)
glCountry for searchgl=us
hlLanguagehl=en
startPagination offsetstart=10 (page 2), start=20 (page 3)
tbmSearch typetbm=nws (news), tbm=isch (images), tbm=vid (videos)
brd_mobileDevicebrd_mobile=1 (mobile), brd_mobile=ios
brd_browserBrowserbrd_browser=chrome
brd_ai_overviewTrigger AI Overviewbrd_ai_overview=2
uuleEncoded geo locationfor precise location targeting

Note: num parameter is deprecated as of September 2025. Use start for pagination.

Parsed JSON Response Structure

json
{
  "organic": [{"rank": 1, "global_rank": 1, "title": "...", "link": "...", "description": "..."}],
  "paid": [],
  "people_also_ask": [],
  "knowledge_graph": {},
  "related_searches": [],
  "general": {"results_cnt": 1240000000, "query": "..."}
}

Bing Key Parameters

ParameterDescription
qSearch query
setLangLanguage (prefer 4-letter: en-US)
ccCountry code
firstPagination (increment by 10: 1, 11, 21...)
safesearchoff, moderate, strict
brd_mobileDevice type

Async for Bulk SERP

python
# Submit
response = requests.post(
    "https://api.brightdata.com/request",
    params={"async": "1"},
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={"zone": SERP_ZONE, "url": "https://www.google.com/search?q=test&brd_json=1", "format": "raw"}
)
response_id = response.headers.get("x-response-id")

# Retrieve (retrieve calls are NOT billed)
result = requests.get(
    "https://api.brightdata.com/serp/get_result",
    params={"response_id": response_id},
    headers={"Authorization": f"Bearer {API_KEY}"}
)

Billing: Pay per 1,000 successful requests only. Async retrieve calls are not billed.

See references/serp-api.md for complete reference including Maps, Trends, Reviews, Lens, Hotels, Flights parameters.


Web Scraper API

Pre-built scrapers for structured data extraction from 100+ platforms. No parsing logic needed.

Sync Endpoint: POST https://api.brightdata.com/datasets/v3/scrape Async Endpoint: POST https://api.brightdata.com/datasets/v3/trigger

python
# Sync (up to 20 URLs, returns immediately)
response = requests.post(
    "https://api.brightdata.com/datasets/v3/scrape",
    params={"dataset_id": "YOUR_DATASET_ID", "format": "json"},
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={"input": [{"url": "https://www.amazon.com/dp/B09X7M8TBQ"}]}
)

if response.status_code == 200:
    data = response.json()  # Results ready
elif response.status_code == 202:
    snapshot_id = response.json()["snapshot_id"]  # Poll for completion

Parameters

ParameterTypeDescription
dataset_idstringScraper identifier from the Scraper Library (required)
formatstringjson (default), ndjson, jsonl, csv
custom_output_fieldsstringPipe-separated fields: url|title|price
include_errorsbooleanInclude error info in results

Request Body

json
{
  "input": [
    { "url": "https://www.amazon.com/dp/B09X7M8TBQ" },
    { "url": "https://www.amazon.com/dp/B0B7CTCPKN" }
  ]
}

Poll for Async Results

python
import time

# Trigger
snapshot_id = requests.post(
    "https://api.brightdata.com/datasets/v3/trigger",
    params={"dataset_id": DATASET_ID, "format": "json"},
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={"input": [{"url": u} for u in urls]}
).json()["snapshot_id"]

# Poll
while True:
    status = requests.get(
        f"https://api.brightdata.com/datasets/v3/progress/{snapshot_id}",
        headers={"Authorization": f"Bearer {API_KEY}"}
    ).json()["status"]

    if status == "ready": break
    if status == "failed": raise Exception("Job failed")
    time.sleep(10)

# Download
data = requests.get(
    f"https://api.brightdata.com/datasets/v3/snapshot/{snapshot_id}",
    params={"format": "json"},
    headers={"Authorization": f"Bearer {API_KEY}"}
).json()

Progress status values: starting → running → ready | failed Data retention: 30 days. Billing: Per delivered record. Invalid input URLs that fail are still billable.

See references/web-scraper-api.md for complete reference including scraper types, output formats, delivery options, and billing details.


Browser API (Scraping Browser)

Full browser automation via CDP/WebDriver. Handles CAPTCHA, fingerprinting, and anti-bot detection automatically.

Connection:

  • Playwright/Puppeteer: wss://${AUTH}@brd.superproxy.io:9222
  • Selenium: https://${AUTH}@brd.superproxy.io:9515
javascript
const { chromium } = require("playwright-core");

const AUTH = process.env.BROWSER_AUTH;
const browser = await chromium.connectOverCDP(`wss://${AUTH}@brd.superproxy.io:9222`);
const page = await browser.newPage();
page.setDefaultNavigationTimeout(120000); // Always set to 2 minutes

await page.goto("https://example.com", { waitUntil: "domcontentloaded" });
const html = await page.content();
await browser.close();
python
from playwright.async_api import async_playwright

async with async_playwright() as p:
    browser = await p.chromium.connect_over_cdp(f"wss://{AUTH}@brd.superproxy.io:9222")
    page = await browser.new_page()
    page.set_default_navigation_timeout(120000)
    await page.goto("https://example.com", wait_until="domcontentloaded")
    html = await page.content()
    await browser.close()

Custom CDP Functions

FunctionPurpose
Captcha.solveManually trigger CAPTCHA solving
Captcha.setAutoSolveEnable/disable auto CAPTCHA solving
Proxy.setLocationSet precise geo location (call BEFORE goto)
Proxy.useSessionMaintain same IP across sessions
Emulation.setDeviceApply device profile (iPhone 14, etc.)
Emulation.getSupportedDevicesList available device profiles
Unblocker.enableAdBlockBlock ads to save bandwidth
Unblocker.disableAdBlockRe-enable ads
Input.typeFast text input for bulk form filling
Browser.addCertificateInstall client SSL cert for session
Page.inspectGet DevTools debug URL for live session
javascript
// CDP session pattern for custom functions
const client = await page.target().createCDPSession();

// CAPTCHA solve with timeout
const result = await client.send("Captcha.solve", { timeout: 30000 });

// Precise geo location (must be before goto)
await client.send("Proxy.setLocation", {
  latitude: 37.7749,
  longitude: -122.4194,
  distance: 10,
  strict: true
});

// Block unnecessary resources
await client.send("Network.setBlockedURLs", { urls: ["*google-analytics*", "*.ads.*"] });

// Device emulation
await client.send("Emulation.setDevice", { deviceName: "iPhone 14" });

Session Rules

  • One initial navigation per session — new URL = new session
  • Idle timeout: 5 minutes
  • Max duration: 30 minutes

Geolocation

  • Country-level: append -country-us to credentials username
  • EU-wide: append -country-eu (routes through 29+ European countries)
  • Precise: use Proxy.setLocation CDP command (before navigation)

Error Codes

CodeIssueFix
407Wrong portPlaywright/Puppeteer → 9222, Selenium → 9515
403Bad authCheck credentials format and zone type
503Service scalingWait 1 minute, reconnect

Billing: Traffic-based only. Block images/CSS/fonts to reduce costs.

See references/browser-api.md for complete reference including all CDP functions, bandwidth optimization, CAPTCHA patterns, and debugging.


Detailed References

  • references/web-unlocker.md — Web Unlocker: full parameter list, proxy interface, special headers, async flow, features, billing, anti-patterns
  • references/serp-api.md — SERP API: all Google params (Maps, Trends, Reviews, Lens, Hotels, Flights), Bing params, parsed JSON structure, async, billing
  • references/web-scraper-api.md — Web Scraper API: sync vs async, all parameters, polling, scraper types, output formats, billing
  • references/browser-api.md — Browser API: connection strings, session rules, all CDP functions, geo-targeting, bandwidth optimization, CAPTCHA, debugging, error codes

Related Skills

  • brightdata-proxy — For routing requests through Bright Data's raw proxy networks (Datacenter, ISP, Residential, Mobile) with your own HTTP client instead of a managed API. Covers network/IP-pool selection, the brd-customer-... username format, targeting & sticky-session params, SSL CA setup for Residential/Mobile, and integrations for cURL, Python (requests/httpx/aiohttp/Scrapy), Node (fetch/axios), Playwright, Puppeteer, and Selenium. Hand off to it whenever the task is raw proxy access rather than Web Unlocker / SERP / Web Scraper / Browser API. Escalation order when proxies hit consistent blocks: raw proxy → Web Unlocker → Browser API → Web Scraper API.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bright Data Best Practices AI skill do?

Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).

Why use Bright Data Best Practices on TypingMind?

Because you install it once and use it with any model. Bright Data Best Practices is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bright Data Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brightdata/skills/tree/main/skills/bright-data-best-practices. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bright Data Best Practices?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bright Data Best Practices?

As many as you like. As long as a model supports skills, you can use Bright Data Best Practices with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bright Data Best Practices AI skill free?

Yes. It is published on GitHub by brightdata under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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