WTM API's answer:

WTM API focuses on structure preservation, not just text extraction. Unlike most scrapers that return raw text, it converts HTML to proper Markdown with headings, tables, code blocks, and links intact. No headless browser needed — pure server-side parsing means sub-second responses at a fraction of the cost.

WTM API's answer:

Speed and simplicity. One POST call, any URL, clean Markdown back in under 1 second. No SDKs to install, no headless browser to maintain, no complex configuration. Generous free tier (50 calls/month) and straightforward pricing. The output is immediately usable for LLMs, RAG pipelines, or content migration.

WTM API's answer:

Developers building AI/LLM applications, RAG pipelines, content migration tools, or any system that needs web content in a structured, portable format. Also useful for teams moving content to Markdown-based platforms like Notion, Obsidian, or static site generators.

WTM API's answer:

I was building a RAG pipeline and needed web content in Markdown format. Existing tools gave me either raw text (losing all structure) or required a headless browser (slow and expensive). I built WTM API to solve my own problem - a fast, simple API that preserves the structure of any webpage as clean Markdown. Shipped the MVP in a weekend using Next.js, Supabase, Stripe, and Vercel, all on free tiers.

WTM API's answer:

Next.js 16 (App Router), Supabase (auth and PostgreSQL), Stripe (subscription billing), Vercel (hosting), and Cheerio (server-side HTML parsing). The entire stack runs on free tiers with zero monthly infrastructure cost.

WTM API's answer:

• Early-stage AI startups building RAG pipelines
• Independent developers working on content tools
  
• Currently in public beta and growing the user base