Overview / Description
tweet.md is an AI developer tool that converts X (Twitter) posts, threads, articles, and profiles into clean Markdown for LLMs, agents, and research. You swap x.com for tweet.md in any URL — or call the API — and get back LLM-ready output instead of scraping the raw page. It preserves post stats, media references, author information, and document structure, and can emit either standard Markdown or Obsidian format with YAML frontmatter for note-taking workflows. The output is built to drop straight into ChatGPT, Claude, Gemini, and coding tools, and it ships an agent skill installable via npx and native Apple Shortcuts support for iOS, iPad, and Mac. tweet.md is aimed at researchers, content archivists, and developers who feed social content into AI pipelines or knowledge bases and need it structured rather than messy HTML. Pricing is pay-as-you-go with no subscription, billed in credits, which keeps occasional use cheap but means heavy thread extraction with per-author metadata consumes credits faster.
Used For
Researchers, archivists, and developers use tweet.md to turn X posts and threads into clean Markdown for LLMs, agents, and knowledge bases.
Pricing
Billing
1 credit per post; +2 credits per unique author for metadata; pay-as-you-go, no subscription
Pros & Cons
Pros
- Swap x.com for tweet.md in any URL, or use the API, to get LLM-ready Markdown
- Handles single posts, full threads, long-form articles, and user profiles
- Preserves post stats, media references, author info, and document structure
- Obsidian output with YAML frontmatter, plus an npx agent skill and Apple Shortcuts support
Cons
- Credit-based billing means heavy thread extraction adds up
- Author metadata costs extra credits (2 per unique author) on top of per-post cost
- Scope is limited to X/Twitter content, not other social platforms
- No free unlimited tier — usage is pay-as-you-go from the smallest pack
Questions & Answers
Alternatives
Jina Reader, Firecrawl, Nitter, Apify Twitter Scraper
Reviews & Ratings
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