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.

HasData's answer:

HasData combines high-speed infrastructure with intelligent web data extraction. Its APIs handle JavaScript rendering, IP rotation, and anti-bot bypassing at scale—without requiring additional tooling. Developers can integrate once and retrieve clean, reliable data instantly.

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.

HasData's answer:

Choose HasData for performance, reliability, and simplicity. Its APIs deliver fast response times, high accuracy, and zero hidden limits. The platform is built for real-world scraping—resilient under load, stable in production, and trusted by high-volume users.

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.

HasData's answer:

HasData serves developers, data engineers, and businesses that need scalable, automated access to public web data. These users build tools, analytics platforms, and competitive intelligence systems powered by structured, real-time information.

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.

HasData's answer:

HasData was created to eliminate the complexity of large-scale web scraping. Frustrated by fragile scripts, unreliable proxies, and blocked requests, the founders built a unified platform that turns scraping into a dependable API service.

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.

HasData's answer:

HasData runs on a distributed infrastructure using Golang, Python, and Node.js. It leverages headless Chromium for rendering, Kubernetes for scaling, and global IP rotation systems for reliable data extraction across regions.

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

HasData's answer:

HasData serves leading companies in SEO, digital marketing, cybersecurity, and content intelligence. These clients rely on HasData to power large-scale data collection, competitive analysis, plagiarism detection, and local search insights—handling millions of requests per day without service disruption.