Crea integraciones listas para producción con Bright Data, incorporando las mejores prácticas. Documentación de referencia para desarrolladores que utilizan asistentes de codificación (Claude Code, Cursor, etc.) para implementar web scraping, búsqueda, automatización de navegadores y extracción de datos estructurados. Cubre la API Web Unlocker, la API SERP, la API Web Scraper y la API Browser (Scraping Browser).
Este skill proporciona una guía de referencia esencial para desarrolladores que desean construir integraciones robustas y listas para producción con Bright Data utilizando asistentes de codificación como Claude Code o Cursor. Está diseñado para agilizar la implementación de tareas comunes como web scraping, automatización de navegadores, extracción de datos estructurados y obtención de resultados de búsqueda. El skill cubre las cuatro APIs principales de Bright Data: Web Unlocker (para eludir bloqueos), SERP API (para resultados de motores de búsqueda), Web Scraper API (para extracción de datos de sitios específicos) y Browser API/Scraping Browser (para automatización basada en navegador). Siguiendo las mejores prácticas documentadas en el archivo SKILL.md, los desarrolladores pueden integrar estas APIs de manera eficiente, evitando errores comunes y asegurando un rendimiento óptimo.
npx skills add https://github.com/brightdata/skills/tree/main/skills/bright-data-best-practicesInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Construye integraciones listas para producción con Bright Data, incorporando las mejores prácticas. Documentación de referencia para desarrolladores que utilizan asistentes de codificación (Claude Code, Cursor, etc.) para implementar web scraping, búsqueda, automatización de navegadores y extracción de datos estructurados. Cubre la API Web Unlocker, la API SERP, la API Web Scraper y la API Browser (Scraping Browser).
This repo contains 3 individual skills — each has its own dedicated page.
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.
Scrape web content as clean markdown/HTML/JSON via the Bright Data CLI (`bdata scrape`). Use when the user wants to fetch a page, extract content from a list of URLs, or crawl paginated listings. Hands off to `data-feeds` for supported platforms (Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, etc.) and to `search` when URLs must be discovered first. Requires the Bright Data CLI; proactively guides install + login if missing.
When the user wants to audit, review, or diagnose SEO issues on their site. Uses live web data via the Bright Data CLI for accurate detection of JS-injected schema, hreflang, canonicals, and live SERP-based ranking checks. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For implementing structured data, see schema-markup. For AI search optimization, see ai-seo.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.