Native Integration · n8n Workflow · Sub-150ms Latency
Build High-Speed Web Scraping & RAG Pipelines in n8n
Ingest articles, documentation, and news directly into your n8n AI agent nodes in sub-150ms.
n8n workflows that scrape the web using heavy headless browser nodes are slow, expensive, and fragile. TokenMarkdown provides a lightweight HTTP node that extracts clean Markdown in 140ms with 82% token savings.
{
"nodes": [
{
"parameters": {
"url": "=https://tokenmarkdown.com/{{ $json.url }}",
"method": "GET"
},
"name": "TokenMarkdown Prefix Proxy",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [250, 300]
}
]
}
Workflow Chaining:
"Connect the output of TokenMarkdown directly to your LangChain OpenAI Embeddings or Pinecone Vector Store node."
Setup Instructions
Connect n8n in under 60 seconds
Zero dependencies. Use standard HTTP Request nodes.
01
Add HTTP Request Node in n8n
Add an HTTP Request node configured to GET https://tokenmarkdown.com/{{ $json.url }}.
02
Connect to AI Agent Nodes
Pass the clean Markdown output directly into an OpenAI or Anthropic text parser node.
03
Automate Scheduled Ingestion
Set up cron triggers to monitor competitor changelogs, blogs, and release notes automatically.
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