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    "readmeSummary": "## X Tweet Scraper\n\nScrapes public X (Twitter) content and returns structured tweet records containing full text (including long-form posts), timestamps, engagement metrics (likes, retweets, replies, quotes, views, bookmarks), language and direct links, nested author profile metadata (handles, bios, follower counts, verification and profile media), attached media and media variants (images, videos, GIFs, URLs, geometry and video variants), extracted entities (hashtags, URLs, mentions, video timestamps), conversation context (reply/quote/retweet relationships, conversation identifiers, nested quoted/reposted tweet objects), and optional structured article data and engagement user lists (retweeters, favoriters) when available. Operates across multiple input routes (URLs, handles, lists, tweet IDs, and advanced search queries) with concurrent batching, cursor-based pagination, duplicate removal, saved-cursor and checkpointing support, diagnostic reporting for partial or resumable runs, configurable output shapes (nested rich results or flattened spreadsheet-friendly fields) and field-naming styles, and advanced query operator support for author, recipient, mentions, date ranges, engagement thresholds, and media filters.\n\n## Use cases\n\n- Fetch fresh X posts for AI agents\n- Build X datasets for retrieval-augmented generation (RAG)\n- Extract X articles for RAG\n- Monitor AI search visibility on X\n- Track AI SEO and generative engine optimization\n- Discover AI agent tools on X\n- Collect AI product feedback\n- Monitor brand mentions on X\n- Track brand sentiment across tweets\n- Monitor competitor posts and industry terms\n- Find prospects in public conversations\n- Collect public datasets for research\n- Find posts with high public engagement\n- Collect replies to a specific post\n- Extract complete Twitter/X threads\n- Collect language-specific conversations (example: Spanish AI conversations)",
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}