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Found 164 Skills
This skill should be used when users need to scrape websites, extract structured data, handle JavaScript-heavy pages, crawl multiple URLs, or build automated web data pipelines. Includes optimized extraction patterns with schema generation for efficient, LLM-free extraction.
This skill should be used after creating or modifying skills to update the main README.md file. It scans all skills in ~/.claude/skills/, extracts metadata from SKILL.md files, and regenerates the README with categorized skill listings. Triggers on requests mentioning "update skills readme", "refresh skills list", or after adding new skills.
Expert guidance for HTML/XML parsing using BeautifulSoup in Python with best practices for DOM navigation, data extraction, and efficient scraping workflows.
Query Weibo hot search information. Use this skill when users want to query the Weibo Hot Search List, entertainment hot searches, or popularity rankings.
Extract structured data from websites and produce an executable Playwright script plus extracted data. Use when the user wants to scrape, extract, pull, collect, or harvest data from any website — product listings, tables, search results, feeds, profiles, or any repeating content.
Web scraping, search, and data extraction using Firecrawl API. Use when users need to fetch web content, discover URLs on sites, search the web, or extract structured data from pages.
This skill should be used when the user asks to "트윗 가져와", "트윗 번역", "X 게시글 읽어줘", "tweet fetch", "트윗 내용", "트윗 원문", or provides an X/Twitter URL (x.com, twitter.com) and wants to read, translate, or analyze the tweet content. Also useful when other skills need to fetch tweet text programmatically.
This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists.
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Scrape TikTok user collection folders and their video links with full metadata (plays, likes, comments, shares). Use when user asks to get, scrape, fetch, extract, or download TikTok collections, favorites, saved videos, bookmarks, or collection folder contents for any TikTok account. Accepts any user identifier — username, @username, profile URL, video URL, short link (vm.tiktok.com), user_id, or secUid. Zero external API dependency, no paid service needed, only requires curl_cffi. Works without login cookies for public collections (~80% coverage). Also use for TikTok competitor analysis, content research, viral video discovery, or building video databases.
Comprehensive web scraping, crawling, and data extraction toolkit powered by Firecrawl API. Provides scripts for single-page scraping (scrape.py), web search (search.py), URL discovery (map.py), multi-page crawling (crawl.py), structured data extraction (extract.py), and autonomous data gathering (agent.py). Use when you need to: (1) extract content from web pages, (2) search and scrape the web, (3) discover URLs on websites, (4) crawl multiple pages, (5) extract structured data with JSON schemas, or (6) autonomously gather data from anywhere on the web. Requires FIRECRAWL_API_KEY environment variable.
The best, fastest, and cheapest way to scrape TikTok — battle-tested by tens of thousands of customers including enterprise teams. Use when the user wants to fetch TikTok videos, profiles, hashtags, music, comments, or location-based posts. Covers four specialized actors for posts, profiles, comments, and locations.