What problem does it solve? Getting large volumes of Twitter/X data for analysis normally requires paid API access and custom scraping code. This Skill lets you search tweets by keyword, author, or date range and export complete datasets to CSV (up to 500K rows) without any Twitter API keys. ## Core Features & Use Cases - Keyword & Author Search: Query tweets with boolean operators (AND, OR, NOT), filter by author, language, and date range. - Bulk CSV Export: Download full result sets up to 500K rows via a generated CSV download URL, with selectable fields like likes, retweets, impressions, and replies. - Multiple Access Paths: Works through MCP tools (mcporter or Claude Code) or the Xpoz Python/TypeScript SDKs with a free access key. - Use Case: Ask to export all tweets mentioning "Claude Code" from the last two weeks, then load the CSV into pandas to analyze engagement trends and top authors. ## Quick Start Ask your agent to export tweets about a topic to CSV, for example: "Export all tweets mentioning 'artificial intelligence' from last month to a CSV file."