
SERP landscape analysis for SEO strategy decisions. Use this skill when the user wants to understand what a search results page actually looks like for their target keywords — including AI Overview presence and attribution, SERP feature composition, how Google is interpreting query intent, which competitors dominate specific keyword sets, and where organic rankings actually translate to visible traffic. Trigger on requests like "analyze the SERP for [keyword]," "why isn't my content getting traffic even though it ranks," "what does Google show for [keyword]," "which keywords are worth targeting," "is [keyword] dominated by AI Overviews," "who owns the SERP for [topic]," "SERP analysis," "keyword landscape," or any request to understand what's happening on a search results page before making a content or SEO strategy decision.
Use this skill whenever the user wants to check, track, or be alerted about product prices on Amazon, Walmart, or via Google Shopping. Trigger on: "monitor the price of this Amazon product", "did the price drop on [Walmart URL]?", "track these ASINs", "compare today's prices to last week", "alert me if [product] goes below $X", "what's the current price of [product]?", "check my price watchlist", "scrape the price of [URL]", "is [product] cheaper anywhere else?". Accepts ASINs, Amazon/Walmart product URLs, or free-text product queries for Google Shopping. Reads an optional baseline JSON file to detect changes, fetches live prices via ScraperAPI's structured endpoints, and reports increases, decreases, restocks, and out-of-stock transitions in a structured change report. Use this skill even when the user does not say the word "monitor" — any one-shot or recurring price-check request belongs here.
Market research powered by live web data. Use this skill when the user wants to understand a market, category, or customer segment — including consumer sentiment, demand and trend signals, price and category structure, or the competitive landscape. Trigger on requests like "research the [X] market," "what do customers think about [category]," "how is [category] priced," "what trends are shaping [industry]," "who are the players in [space]," or any request to understand a market before making a product, pricing, positioning, or investment decision.
Use this skill whenever the user wants to enrich a contact or company and build a profile. Trigger on: "enrich this lead", "find info about [person or company]", "build a contact card for X", "look up [company]", "I have this LinkedIn URL, find more about them", "find the email for [person] at [company]", "research this contact", "who is [name]", "tell me about [company]", "I have an email, can you find more details". Accepts any seed input — a name, company name, LinkedIn URL, email address, domain, or any combination. Executes ScraperAPI calls directly to search Google and fetch web pages, then synthesizes all findings into a structured contact card covering person fields (name, title, email, phone, LinkedIn, location, social) and company fields (domain, revenue, funding, employee count, founded year, HQ, tech stack, key investors, recent news, competitors).
Run a comprehensive SEO audit using ScraperAPI's live SERP and scraping tools — no setup required. Use this skill whenever the user wants to: audit SEO for a website, understand why a page isn't ranking, check SEO health, analyze keyword rankings, compare against competitors in search results, find content gaps, review on-page signals (titles, meta, headings, schema), diagnose a traffic drop, check indexation, or get prioritized SEO recommendations. Also trigger when the user says things like "why am I not showing up on Google," "my traffic dropped," "how do I rank for X," "what's wrong with my SEO," "SEO check," or "SEO review." This skill works out of the box — it uses the ScraperAPI MCP tools already connected to this session, with no CLI or API key setup needed.
Build and implement web scrapers using ScraperAPI. Use this skill whenever the user asks to build, write, create, or implement a scraper, or wants runnable code that extracts data from a website. Trigger on: "build me a scraper for [website]", "write a scraper that fetches product pages from [ecommerce site]", "I need to scrape [data] from [website]", "create a script that extracts [fields] from [URL]", "help me scrape [website] — I need [fields]", "write code to scrape [website]", "make a script that scrapes [website]", "implement a scraper for [URL]". Guides architectural decisions (structured endpoint vs. raw HTML, JS rendering, proxy tier, sync vs. async batch), then generates a complete runnable Python or Node.js script with retry logic, error handling, pagination, and credit estimation.
Best-practices reference for the ScraperAPI Node.js / JavaScript SDK (scraperapi-sdk npm package). Consult whenever the user is writing, debugging, or reviewing JavaScript or TypeScript code that calls ScraperAPI. Use when user asks: "scrape a website with Node.js and ScraperAPI", "ScraperAPI JavaScript example", "how do I use scraperapi-sdk in Node", "ScraperAPI TypeScript", "ScraperAPI async await Node.js", "ScraperAPI POST request JavaScript", "Node.js ScraperAPI render", "ScraperAPI account info Node". Covers both CommonJS and ESM import styles, Promises and async/await, all request parameters, POST/PUT requests, account info, error handling, and credit costs.
Best-practices reference for the ScraperAPI Python SDK (scraperapi-sdk package). Consult whenever the user is writing, debugging, or reviewing Python code that calls ScraperAPI. Use when user asks: "scrape a website with Python and ScraperAPI", "how do I use ScraperAPIClient", "ScraperAPI Python render example", "Python ScraperAPI async", "batch scraping Python ScraperAPI", "ScraperAPI premium Python", "how to handle ScraperAPI errors in Python", "ScraperAPI structured data Python". Covers client setup, all request parameters, the escalation ladder (standard → render → premium → ultra_premium), async jobs for batches, structured data endpoints, error handling, and credit budgeting.
Best-practices reference for the ScraperAPI PHP SDK (scraperapi/sdk Composer package). Consult whenever the user is writing, debugging, or reviewing PHP code that calls ScraperAPI. Use when user asks: "scrape a website with PHP and ScraperAPI", "ScraperAPI PHP example", "how do I use the ScraperAPI PHP SDK", "PHP ScraperAPI render", "ScraperAPI PHP premium proxy", "ScraperAPI PHP Composer install", "ScraperAPI PHP error handling". Covers Composer setup, all request parameters, the escalation ladder, POST requests, error handling, and credit costs.
Best-practices reference for the ScraperAPI Java SDK (com.scraperapi:sdk Maven artifact). Consult whenever the user is writing, debugging, or reviewing Java code that calls ScraperAPI. Use when user asks: "scrape a website with Java and ScraperAPI", "ScraperAPI Java example", "how do I add ScraperAPI to my Maven project", "Java ScraperAPI render", "ScraperAPI Java fluent API", "ScraperAPI Java premium proxy", "ScraperAPI Java error handling", "ScraperAPI Java retry". Covers Maven/Gradle setup, the fluent builder API, all request parameters, the escalation ladder, async jobs, structured data calls, error handling, and credit costs.
Best-practices reference for the ScraperAPI Ruby SDK (scraperapi gem). Consult whenever the user is writing, debugging, or reviewing Ruby code that calls ScraperAPI. Use when user asks: "scrape a website with Ruby and ScraperAPI", "ScraperAPI Ruby example", "how do I use the ScraperAPI gem", "Ruby ScraperAPI render", "ScraperAPI Ruby premium proxy", "ScraperAPI gem sessions", "ScraperAPI Ruby error handling". Covers gem setup, all request parameters, the escalation ladder, error handling by status code, and credit costs.
Autonomous web research agent — takes a research question, uses ScraperAPI to discover and scrape relevant sources, uploads content as file artifacts to the Anthropic Files API, then feeds everything to Claude for synthesis into a cited research report. All in one flow. Use when user asks: "research X for me and give me a cited report", "investigate Y online and summarize what you find", "do a deep dive on Z using real web sources", "find information about X across multiple websites and cite your sources", "run the scraperapi research agent on this topic". Produces a structured markdown report with inline citations and a numbered source list. Invoke whenever the user wants multi-source web research that requires scraping real pages, not just answering from memory.
Product-usage reference for ScraperAPI's Async Jobs API — submit scraping jobs in the background and retrieve results via polling or webhook, including batch jobs up to 50,000 URLs. Consult when the user is scraping many URLs, needs non-blocking requests, or wants webhook delivery. Use when user asks: "how do I scrape 1000 URLs with ScraperAPI", "ScraperAPI async jobs", "batch scraping with ScraperAPI", "submit a scraping job and poll for results", "ScraperAPI webhook callback", "scrape URLs in the background", "ScraperAPI batchjobs endpoint". Covers single jobs, batch jobs (up to 50k URLs), webhook callbacks, all apiParams, async-exclusive parameters, binary response decoding, retention policy, and error handling.
Generate n8n workflows that use the official ScraperAPI community node (n8n-nodes-scraperapi-official). Use this skill whenever the user wants to build, design, automate, or scaffold an n8n workflow that scrapes the web through ScraperAPI — even when they don't say "skill" or "ScraperAPI node" by name. Triggers include: "build an n8n workflow that monitors Amazon prices", "create an n8n flow to scrape Google search daily", "generate an n8n JSON for a crawler that hits this site", "wire ScraperAPI into n8n to email me product reviews", "n8n automation for Walmart price tracking", "use ScraperAPI in n8n to enrich leads", "give my n8n AI Agent web access via ScraperAPI", "add ScraperAPI as a tool to my n8n agent". Produces either importable workflow JSON or a step-by-step build guide in the n8n editor, picking the format based on how the user phrased the request.
Product-usage reference for ScraperAPI's Crawler — crawl an entire site or section by following links automatically. Consult when the user needs to extract data from many pages of a site without knowing the URLs upfront. Use when user asks: "crawl an entire website with ScraperAPI", "scrape all pages on a domain", "follow links and scrape each page", "how do I use the ScraperAPI crawler API", "scrape a site map", "extract data from every product page on a site", "ScraperAPI crawler job API". Covers job creation, URL regex patterns, depth vs budget, per-page scraping parameters, status polling, webhooks, scheduling, and credit costs. Also invoke when the user is building a site-wide scraper and asks which ScraperAPI product to use.
Knowledge base for the 22 ScraperAPI MCP tools. Covers scrape, Google (search, news, jobs, shopping, maps), Amazon (product, search, offers), Walmart (search, product, category, reviews), eBay (search, product), Redfin (for_sale, for_rent, search, agent), and crawler tools. Provides tool selection, parameter optimization, credit cost guidance, and error recovery. Requires the ScraperAPI MCP server and a valid SCRAPERAPI_API_KEY. Trigger on: web scraping, scraping a URL, reading a webpage behind bot protection, Google search queries, finding information online, current events and news lookup, job listings, product price comparison, shopping research, Amazon/Walmart/eBay product lookup or search, e-commerce data extraction, Redfin real estate listings, property search, rental search, site crawling, SERP monitoring, SEO tracking, competitive intelligence, market research, or when unsure which ScraperAPI tool to use.
Product-usage reference for the official ScraperAPI command-line tool (`sapi`, distributed as `scraperapi-cli`). Use this skill whenever the user wants to scrape, run async jobs, fetch structured data, manage crawls, check account credits, or drive DataPipeline projects from a terminal or shell script — anywhere a one-liner is more convenient than writing SDK code. Trigger on: "scrape this URL from the terminal", "use sapi to fetch X", "ScraperAPI CLI", "ScraperAPI from bash", "sapi scrape", "sapi cost", "sapi jobs", "sapi structured amazon", "pipe ScraperAPI into jq", "shell one-liner to scrape Y", "scrape from a Makefile / cron / CI", "check my ScraperAPI credits from the command line", "submit 10000 URLs as a batch from a file". Covers install, auth resolution order, every top-level command (`scrape`, `cost`, `jobs`, `structured`, `crawler`, `pipeline`, `account`, `config`, `init`), JSON / piping behaviour, pre-flight cost checks, and common shell recipes.
Entry point for agents and developers new to ScraperAPI. Read first when integrating ScraperAPI into an agent or app, setting up the MCP server for Claude Code or other LLM tools, choosing the right ScraperAPI product, or obtaining an API key. Trigger on: "how do I use ScraperAPI", "set up ScraperAPI", "connect ScraperAPI to Claude", "which ScraperAPI product should I use", "get web data for my agent", "scrape a website in my app", "add web scraping to my project", "ScraperAPI getting started". After reading, route to the narrower skill that owns the selected path.
Product-usage reference for ScraperAPI's DataPipeline — managed, scheduled scraping projects that run automatically and deliver results to a webhook or dashboard download. Consult when the user needs recurring scraping, has a large list of URLs/ASINs/queries to process, or wants to avoid building and maintaining their own scraping infrastructure. Use when user asks: "schedule recurring scraping with ScraperAPI", "ScraperAPI DataPipeline", "how do I run a scraping project on a schedule", "scrape 10000 ASINs automatically", "ScraperAPI managed scraping project", "set up a ScraperAPI pipeline", "deliver scraping results to a webhook automatically". Covers project types, input methods, scheduling, output delivery, the DataPipeline API, job management, and credit costs.