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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).

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name bright-data-best-practices description 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). user-invocable false 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 Case API Why Scrape any webpage by URL (no interaction) Web Unlocker HTTP-based, auto-bypasses bot detection, cheapest Google / Bing / Yandex search results SERP API Specialized for SERP extraction, returns structured data Structured data from Amazon, LinkedIn, Instagram, TikTok, etc. Web Scraper API Pre-built scrapers, no parsing needed Click, scroll, fill forms, run JS, intercept XHR Browser API Full browser automation Puppeteer / Playwright / Selenium automation Browser API Connects via CDP/WebDriver Route your own HTTP client through a raw proxy (DC/ISP/Residential/Mobile) Proxy networks When 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 ). 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 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 Parameter Type Description zone string Zone name (required) url string Target URL with http:// or https:// (required) format string "raw" (HTML) or "json" (structured wrapper) (required) method string HTTP verb, default "GET" country string 2-letter ISO for geo-targeting (e.g., "us" , "de" ) data_format string Transform: "markdown" or "screenshot" async boolean true for async mode Quick Patterns # 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) 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 Parameter Description Example q Search query q=python+web+scraping brd_json Parsed JSON output brd_json=1 (always use for data pipelines) gl Country for search gl=us hl Language hl=en start Pagination offset start=10 (page 2), start=20 (page 3) tbm Search type tbm=nws (news), tbm=isch (images), tbm=vid (videos) brd_mobile Device brd_mobile=1 (mobile), brd_mobile=ios brd_browser Browser brd_browser=chrome brd_ai_overview Trigger AI Overview brd_ai_overview=2 uule Encoded geo location for precise location targeting Note: num parameter is deprecated as of September 2025. Use start for pagination. Parsed JSON Response Structure { "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 Parameter Description q Search query setLang Language (prefer 4-letter: en-US ) cc Country code first Pagination (increment by 10: 1, 11, 21...) safesearch off , moderate , strict brd_mobile Device type Async for Bulk SERP # 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 # 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 Parameter Type Description dataset_id string Scraper identifier from the Scraper Library (required) format string json (default), ndjson , jsonl , csv custom_output_fields string Pipe-separated fields: url|title|price include_errors boolean Include error info in results Request Body { "input" : [ { "url" : "https://www.amazon.com/dp/B09X7M8TBQ" } , { "url" : "https://www.amazon.com/dp/B0B7CTCPKN" } ] } Poll for Async Results 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)
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同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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