「scraping」の検索結果

Vets whether to build a feature from scratch, use an existing free/open-source solution, or pay for a third-party API/service. Use this whenever the user asks Claude to implement, add, integrate, or write code for a feature or capability, especially one that sounds like it could already be a solved problem (auth, payments, scraping, animation, comment/DM automation, video/image generation, search, notifications, etc.), even if the user doesn't explicitly ask "should I build or buy this." Make sure to trigger this before writing non-trivial implementation code for any feature-level capability, not just when the user asks about libraries directly.

日本語の概要は準備中です。原文の説明を表示しています。

Etsy SEO optimization for existing and new listings. Auto-detects REWRITE (when user pastes a current title + tags + description) or CREATE (when user gives a short product context). Triggers on "rewrite this listing", "optimize my Etsy listing", "fix my title and tags", "create new listing", "make a new Etsy listing". Uses live Etsy autocomplete + competitor SERP scraping for evidence-driven keyword research. Enforces 2026 Etsy rules — tag ≤20 chars, primary keyword in first 40 chars, indexing spread across title/tags/attributes/description/hero alt, NLP-aware writing, trademark stoplist scan. When the user's problem isn't SEO (CTR, conversion, photos, price, saturated niche), it says so directly and routes to concrete next steps. Silently maintains a markdown listing database at ~/etsy-listings/ for cross-session memory on Claude/Cowork. Catches duplicate primary keywords across the user's own listings.

日本語の概要は準備中です。原文の説明を表示しています。

AI-powered autonomous data extraction that navigates complex sites and returns structured JSON. Use this skill when the user wants structured data from websites, needs to extract pricing tiers, product listings, directory entries, or any data as JSON with a schema. Triggers on "extract structured data", "get all the products", "pull pricing info", "extract as JSON", or when the user provides a JSON schema for website data. More powerful than simple scraping for multi-page structured extraction.

日本語の概要は準備中です。原文の説明を表示しています。

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.

日本語の概要は準備中です。原文の説明を表示しています。

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape. Activate on "find expungement data", "scrape state laws", "legal research", "court URLs", "statute sources", "Clean Slate laws", "automatic expungement research". NOT for interpreting laws (use national-expungement-expert), building UI, or legal advice.

日本語の概要は準備中です。原文の説明を表示しています。

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video

日本語の概要は準備中です。原文の説明を表示しています。

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

日本語の概要は準備中です。原文の説明を表示しています。

Direct browser control via CDP — use for any task involving a website or web app: browsing, scraping and data extraction, filling forms, testing sites, taking screenshots, automating web workflows.

日本語の概要は準備中です。原文の説明を表示しています。

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.

日本語の概要は準備中です。原文の説明を表示しています。

Browser Use — direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.

日本語の概要は準備中です。原文の説明を表示しています。

Firecrawl gives AI agents and apps fast, reliable web context with strong search, scraping, and interaction tools. One install command sets up three skill segments: live CLI tools, app-integration build skills, and outcome-focused workflow skills. Route the reader to the right usage path after install.

日本語の概要は準備中です。原文の説明を表示しています。

**WORKFLOW SKILL** — Generate formatted documents from Markdown or structured content. USE FOR: creating PowerPoint presentations, Word documents, Excel spreadsheets, MS Project files, PDFs from Markdown/JSON/chat context using templates. DO NOT USE FOR: converting documents TO Markdown (use doc-to-markdown), general file I/O, web scraping.

日本語の概要は準備中です。原文の説明を表示しています。

**CONVERSION SKILL** — Convert binary/Office documents to Markdown for LLM consumption. USE FOR: converting Word, Excel, PowerPoint, PDF, Visio, MS Project files to Markdown, batch document conversion, extracting text from non-readable formats. DO NOT USE FOR: Markdown formatting/linting, general file I/O, web scraping, image generation.

日本語の概要は準備中です。原文の説明を表示しています。

Common Playwright automation patterns for web testing and scraping via MCP

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Generate advertising images automatically from a product URL + brand profile. ✅ USE WHEN: - User provides a product URL (e-commerce link) - Want automated product scraping + image generation - Have a brand profile to apply (70+ brands available) - Need funnel-stage targeting (awareness/consideration/conversion) - Want AI to auto-select model, scene, lighting based on brand ❌ DON'T USE WHEN: - User provides local product image file → use morpheus-fashion-design - Don't need a person in the image → use nano-banana-pro - Want manual control over model, scene, packs → use morpheus-fashion-design - Already have hero image, need variations → use multishot-ugc - Need video output → use veed-ugc after image generation INPUT: Product URL + brand name (optional) + funnel stage (optional) OUTPUT: PNG advertising image with product + model

日本語の概要は準備中です。原文の説明を表示しています。

Activate when the user needs to interact with any website — browser automation, web scraping, screenshots, form filling, UI testing, monitoring, or building AI agents. Provides pre-verified page actions with step-by-step instructions and tested selectors.

日本語の概要は準備中です。原文の説明を表示しています。

Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.

日本語の概要は準備中です。原文の説明を表示しています。

Drive a real browser from the command line — open pages, snapshot the interactive elements as refs, click and fill by ref, read text, run JS, screenshot. Use when a task needs a live browser: checking a page renders, walking a login or checkout flow, scraping something that only exists after JavaScript runs, or reproducing a UI bug.

日本語の概要は準備中です。原文の説明を表示しています。

Target a specific Chrome profile for browser automation via CDP: discovers profiles, launches on a debug port, connects agent-browser. NOT for headless scraping without a profile (mk:agent-browser).

日本語の概要は準備中です。原文の説明を表示しています。

Target a specific Google Chrome user profile for browser automation via CDP. Discovers installed profiles from the Chrome Local State file, launches Chrome with the requested profile attached to a debug port, and connects agent-browser via `agent-browser connect <port>`. Use when "automate using my Work/Personal Chrome", "open site with my saved session", or "use Chrome profile named <name>". NOT for headless scraping without an existing user profile (use mk:agent-browser directly); NOT for importing cookies only (use agent-browser --auto-connect state save).

日本語の概要は準備中です。原文の説明を表示しています。

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.

日本語の概要は準備中です。原文の説明を表示しています。

Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.

日本語の概要は準備中です。原文の説明を表示しています。

Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.

日本語の概要は準備中です。原文の説明を表示しています。

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

日本語の概要は準備中です。原文の説明を表示しています。