RAG-ready · MCP-native · Apify-powered

The Live Data Feed Layer for AI Agents.

HarvestLab builds RAG-Ready, MCP-Native APIs that bypass anti-bot blocks natively and deliver clean, structured, token-optimized records for LLM apps, agent tools, and enterprise data teams.

Browse Actors on Apify Request Custom Feed

72h

Avg. custom deployment

Flat JSON

Feed format

RAG + MCP

Primary target

Managed anti-bot execution keeps your team focused on retrieval, not blocked sessions, proxy pools, and browser fingerprints.

Every feed is shaped for direct agent consumption with predictable keys, source URLs, timestamps, and compact summaries.

Static docs and plain-text summaries make HarvestLab pages easy for Google, AI crawlers, and procurement teams to understand.

Data Transformer Visualizer

Noisy pages in. Compact AI records out.

HarvestLab removes navigation chrome, duplicate payloads, tracking fields, and nested junk before your agent spends context on it. The output is flat JSON with source metadata, citations, and a stable shape for retrieval pipelines.

RAG JSONMCP envelope

Raw web payload

<div class="post sponsored">
  <script>track({"uid":"tmp-8821"})</script>
  <h1>GitHub Copilot competitor surges</h1>
  <span class="score">482 points</span>
  <a href="/item?id=4217&utm=feed">comments</a>
  <nav>login | ads | tracking pixels</nav>
</div>

Token-optimized output agent-ready

{
  "source": "hackernews",
  "title": "GitHub Copilot competitor surges",
  "url": "https://news.ycombinator.com/item?id=4217",
  "score": 482,
  "comments_count": 96,
  "llm_summary": "Developer discussion about code-agent adoption.",
  "metadata": {
    "retrieved_at": "2026-05-20T18:00:00Z",
    "token_estimate": 91
  }
}

Why teams use HarvestLab

Production data feeds without crawler maintenance.

HarvestLab gives AI engineers a stable feed layer between public web data and retrieval systems. Teams can prototype with Apify actors, then request managed actors for sources that need custom schemas, authentication, enrichment, or volume planning.

MCP-Native Ecosystem

Plug-and-play live data records for Claude Desktop, CrewAI, and MCP-aware agent runtimes.

Token-Optimized Schemas

We strip layout noise, tracking cruft, and duplicate fields so your context window carries signal.

BYOK Compute orchestration

Bring Your Own OpenAI or Anthropic keys for enrichment, classification, and downstream summaries.