Software Development Skills

Social listening and brand reputation research using Bright Data's web scraping infrastructure. Collects what real people are saying about a brand, product, or person across Reddit, X/Twitter, Instagram, TikTok, YouTube, news, and review sites — then classifies sentiment, clusters themes, and delivers a cited digest with actionable recommendations. Use this skill when the user wants to know what people are saying about their brand, monitor social media mentions, gauge public sentiment, track online reputation, find complaints or advocacy, measure buzz around a launch, or do social listening / brand monitoring / sentiment analysis. Also use when the user mentions brand mentions, brand health, reputation tracking, or "what's the internet saying about us".

Debug Bright Data Scraping Browser sessions using the Browser Sessions API. Use this skill when the user encounters a Bright Data browser session error, puppeteer stack trace, failed scraper run, or asks about session bandwidth, duration, captchas, or connection issues. Also use when a Bright Data scraper produces unexpected results such as empty data, 0 items found, missing products, or fewer results than expected — session data can reveal whether the issue is network/proxy-side (blocks, captchas, redirects, timeouts) or client-side (selectors, extraction logic). Triggers on phrases like 'why did my session fail', 'debug my bright data session', 'check my scraping browser sessions', 'how much bandwidth did my scraper use', 'got 0 results', 'found 0', 'scraper returned empty', 'scraper not working', 'script didn't work', or when a Bright Data error code or brd.superproxy.io stack trace appears in the conversation. Requires BRIGHTDATAAPIKEY environment variable.

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.

Generate working code that routes HTTP requests through Bright Data proxy networks (Datacenter, ISP, Residential, Mobile) and help users decide which network and IP pool type to use (shared pool, shared IPs, or dedicated IPs). Use this skill whenever the user mentions Bright Data, brightdata.com, BD proxies, brd.superproxy.io, geo.brdtest.com, a brd-customer- proxy username, a Bright Data zone, the superproxy host, or wants to scrape or route requests through Bright Data — including questions about proxy URL format, country or session or IP or sticky-session targeting, SSL certificate setup for residential or mobile proxies, KYC verification, ignoring SSL errors, choosing between shared pool and shared IPs and dedicated IPs, or integrating Bright Data into Python requests/httpx/aiohttp, Node fetch/axios, Playwright, Puppeteer, Selenium, or Scrapy.

Web data extraction and discovery using the Bright Data Python SDK. Use when user asks to "scrape", "get data from", "extract", "search for", or "find" information from websites. Also use when user mentions specific platforms like Amazon, LinkedIn, Instagram, Facebook, TikTok, YouTube, Reddit, Pinterest, Zillow, Crunchbase, or DigiKey, or asks for "bulk data", "historical data", or "dataset". Covers scraping, searching, datasets, and browser automation.

Web data extraction and discovery using the Bright Data JavaScript/TypeScript SDK (@brightdata/sdk). Use when the user is working in Node.js/TypeScript and asks to "scrape", "get data from", "extract", "search for", or "find" information from websites. Also use when the user mentions specific platforms like Amazon, LinkedIn, Instagram, Facebook, TikTok, YouTube, Reddit, Pinterest, ChatGPT, Perplexity, or DigiKey, or asks for "bulk data", "historical data", or "dataset" from JS. Covers scraping, SERP search, AI discovery, datasets, browser automation, and Scraper Studio. For Python, use brightdata-sdk; for the terminal CLI, use brightdata-cli.

Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content). Use when the user wants "live research", to "research deeply", "research the latest on", "write a report on", "give me a briefing / literature review / market scan", "find and synthesize everything about", or otherwise wants a synthesized, source-grounded answer rather than a list of links. Decomposes the question into multiple intent-ranked Discover queries, pulls page content, deduplicates and ranks by relevance, then synthesizes a structured brief with inline citations. Built on the discover-api skill. For competitor-specific intel use competitive-intel; for social/brand sentiment use brand-listening; for a retrieval system (not a one-off report) use rag-pipeline.

Shopping price comparison using Bright Data's web scraping infrastructure. Finds where a product is sold, for how much, and whether it's in stock — across Amazon, Walmart, eBay, Best Buy, Google Shopping, and any retailer URL — then ranks the offers into a single buy-recommendation table. Use this skill when the user wants to compare prices, find the cheapest place to buy something, do a price check, see "how much does X cost on Amazon vs Walmart", track an item's price, or decide where to buy a product. Handles product names, ASINs, and direct URLs, and is region-aware (country affects price, availability, and which retailers apply). This is consumer purchase-decision research — for analyzing a competitor's pricing strategy, use competitive-intel instead.

Build production-ready web scrapers for any website using Bright Data infrastructure. Guides you through site analysis, API selection, selector extraction, pagination handling, and complete scraper implementation. Use this skill whenever the user wants to build a scraper, create a crawler, extract data from a website, scrape product pages, handle pagination, build a data pipeline from a web source, or automate data collection from any site — even if they don't explicitly say 'scraper'. Triggers on phrases like 'build a scraper for', 'scrape data from', 'extract products from', 'crawl pages on', 'get data from [website]', or 'I need to pull data from'.

Build and run AI-generated Bright Data scrapers from the terminal via bdata scraper create and bdata scraper run. Use this skill whenever the user wants to generate a scraper from a natural-language description, build a custom scraper without writing code, turn a URL + plain-English description into a reusable scraper, run an existing Bright Data collector against a URL, or batch-scrape a list of URLs through one collector. Triggers on phrases like 'build me a scraper for', 'create a scraper that extracts', 'generate a scraper from a description', 'turn this URL into a scraper', 'run this scraper on', 'run my collector', 'batch scrape', 'scrape these URLs', 'scrape a list of URLs', 'competitive pricing table', 'scraper studio', scraper create, scraper run, --urls, --input-file, collectorid, automatetemplate, or /dca/. Covers the AI flow (template create → trigger AI generation → poll progress), the single-URL run flow (async + poll by default, --sync for fast pages), the multi-URL batch flow (--urls / --input-file → one /dca/trigger call with array body), and the silent auto-fallback to the batch endpoint when a URL expands past the realtime page limit. Requires the Bright Data CLI.