Stop feeding agents raw HTML, nav bars, and ad scripts. Swap any supported social post URL to anypost.md and get structured, LLM-ready Markdown with the source context preserved.
One URL trick. No extension. No copy-paste cleanup. No scraping pipeline to maintain.
Before:
https://x.com/user/status/123
After:
https://anypost.md/x/user/status/123
Result:
# @user
Clean post text, media, stats, timestamp,
and source link as Markdown.LLMs do not need cookie banners, scripts, navigation, or duplicated UI labels. AnyPost keeps the content and removes the noise before it reaches your agent.
Feeding raw social HTML into an LLM wastes context on navigation, cookie banners, scripts, and duplicated UI labels. AnyPost reduces that noise by converting a public post URL into structured Markdown through a domain swap: replace the network host with anypost.md, add the platform prefix (/x/, /reddit/, /linkedin/, …), and open the result or call the same path from an agent. Typical public pages run tens of thousands of characters; the Markdown output is often an order of magnitude smaller while keeping author, body text, media links, stats, timestamp, and source attribution. That means fewer input tokens per request, lower cost at scale, and cleaner answers because the model sees post content—not page chrome. Works with the free tier on Starter platforms (ten single-post conversions per day per IP), paid apk_ keys for threads and comments, the anypost-md agent skill, and WebMCP convert_post on the preview site.
Sample figures are illustrative character-count benchmarks for noisy public social pages. Estimated token savings vary by model tokenizer, platform, and requested options.
AnyPost is built for workflows where every token matters: RAG, research agents, coding agents, social listening, and long-context analysis.
No nav bars, cookie banners, scripts, or duplicated page chrome
Author, body text, media links, stats, timestamp, and source link stay intact
Threads and comments stay ordered when you use paid agent options
Works through domain swap, /api/convert, the anypost-md skill, or WebMCP preview
The hardest social platforms are dynamic, login-sensitive, media-heavy, or wrapped in repeated UI. These use cases show why agents should ask for structured Markdown instead of raw pages.
Why scraping is hard: LinkedIn public pages often mix the useful post with dense chrome, recommendation modules, and inconsistent guest views.
What AnyPost returns: AnyPost turns a public LinkedIn post into clean Markdown with author context, post body, media links, stats, and source attribution.
Best for sales research, hiring signals, founder updates, and B2B social listening.
Why scraping is hard: Instagram is visual, dynamic, and easy to over-fetch. Raw page captures usually waste tokens on interface text instead of the caption and media context.
What AnyPost returns: AnyPost extracts public post or reel context into Markdown so an agent can summarize, classify, or cite the content without browsing the page UI.
Best for campaign monitoring, creator research, and visual post triage.
Why scraping is hard: Public Facebook posts can be surrounded by prompts, page modules, and repeated navigation copy that are useless inside an LLM context window.
What AnyPost returns: AnyPost keeps the guest-visible post content and source link in compact Markdown, with comments available where the public page exposes them.
Best for community updates, announcements, local posts, and public discussion monitoring.
Threads
Why scraping is hard: Threads pages are designed for scrolling, not for machine reading. Copy-paste loses reply order and raw fetches include too much surrounding UI.
What AnyPost returns: AnyPost returns the post text and optional thread context in a predictable Markdown shape your agent can quote or summarize.
Best for product chatter, founder threads, and fast-moving social research.
TikTok
Why scraping is hard: TikTok pages are JavaScript-heavy and media-first, which makes them expensive context when all the agent needs is structured post metadata and text.
What AnyPost returns: AnyPost converts supported public TikTok URLs into concise Markdown so downstream agents can classify and route social signals.
Best for trend scanning, creator workflows, and social campaign intake.
X + Reddit
Why scraping is hard: X threads and Reddit discussions carry the highest value in replies, but the raw pages mix content with ranking UI, sidebars, and repeated labels.
What AnyPost returns: AnyPost can keep post order, source links, and paid thread/comment options in Markdown so agents can reason over the discussion instead of the page shell.
Best for research synthesis, support triage, and RAG ingestion from social discussions.
Raw social pages include navigation, scripts, styles, tracking code, and repeated UI labels. AnyPost returns only the content an agent needs, formatted as Markdown. Fewer irrelevant characters usually means fewer tokens and more room for reasoning.
No. It is an upper-bound benchmark for noisy public social pages, not a universal promise. A short static page may save less, while a JavaScript-heavy social page can save around that range because most of the raw payload is not useful context.
No. Swap the domain for a plain text Markdown response, call /api/convert for JSON, install the anypost-md skill in your agent, or use WebMCP in a compatible browser.
Try the live converter, then add the AnyPost skill to your agent so it can rewrite supported post URLs automatically.