HasData

The scraping service AI agents run on

Developer ToolsArtificial IntelligenceData

▲ 315 votes101 commentsLaunched May 15, 2026

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HasData is the managed web scraping service for data pipelines and AI agents. Send any URL, get clean JSON or Markdown back in one API call. We handle proxies, browser rendering, retries, and anti-bot. 50+ ready scrapers cover Google Search, Maps, News, Zillow, Indeed, and major e-commerce. AI extraction handles any other URL from a plain-text prompt. Use it from Claude, ChatGPT, or your own AI agent via MCP. CLI for everything else.

AI Analysis

📝 Summary

HasData is a managed web scraping service for data pipelines and AI agents. Users send any URL via one API call to receive clean JSON or Markdown. It handles proxies, browser rendering, retries, and anti-bot measures. Offers 50+ ready scrapers for Google, Maps, Zillow, Indeed, and e-commerce sites, plus AI prompt-based extraction for any URL. Integrates with Claude, ChatGPT, and AI agents via MCP, with CLI support. Solves pains of complex setup, unreliability, blocking, and data cleaning in scraping. USP is simplicity, AI-readiness, and reliability, enabling focus on core AI/data logic instead of infrastructure.

📈 Market Timing

In 2025-2026, timing is highly favorable due to booming AI agents and LLMs that require structured real-time web data. Technology for AI extraction and scraping is mature, user demand for seamless LLM integrations is surging, and the AI infrastructure ecosystem is expanding rapidly despite tightening data privacy policies. Excellent Timing.

✅ Feasibility

Medium. High technical difficulty maintaining scrapers against evolving anti-bot tech and site layouts. Significant ongoing costs for proxies, rendering infrastructure, and operations. Notable compliance risks with privacy laws (GDPR), terms of service, and potential legal issues. Strong scalability via API but requires expert team; AI features add complexity but also flexibility.

🎯 Target Market

Main segments: AI/ML engineers, developers, and data teams at tech startups and enterprises building agents or pipelines. Industries: AI, SaaS, market research, e-commerce, real estate, recruitment. Primarily North America and Europe. TAM for web scraping ~$5B+, SAM for managed APIs ~$1B, SOM for AI-focused ~$150M. Core pains: unreliable extraction at scale and high engineering overhead. High willingness to pay for time-saving, reliable service.

⚔️ Competition

High. Direct competitors: 1. Firecrawl (firecrawl.dev), 2. Bright Data (brightdata.com), 3. Oxylabs (oxylabs.io), 4. Apify (apify.com), 5. ScrapingBee (scrapingbee.com). Advantages: AI-agent focus with MCP/LLM integrations, prompt-based extraction, 50+ ready scrapers, simple clean outputs. Disadvantages: Smaller scale/proxy pool vs Bright Data/Oxylabs; newer so less enterprise adoption and battle-tested reliability at massive volumes compared to incumbents.

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