Create AI-Ready Vector Datasets from Web Content with Claude, Ollama & Qdrant
Automates extraction of web content via Scrapeless, structures it with Claude AI, generates embeddings using Ollama, and stores in Qdrant for semantic search.
This n8n workflow creates an AI-powered pipeline that transforms unstructured web content into clean, searchable vector datasets. It starts by bypassing anti-bot measures with Scrapeless to reliably scrape HTML from JavaScript-heavy sites. Claude AI then analyzes and structures the raw HTML into JSON format, making data usable for downstream applications.
Next, Ollama generates high-quality vector embeddings locally using the all-minilm model, enabling semantic similarity searches without cloud
- Platform
- n8n
- Category
- E-commerce
- Price
- $24.99
- Creator
- Ivan Volkov
- n8n
- AI Pipeline
- Web Scraping
- Vector Database
- Qdrant
- Claude AI
- Ollama
- Embeddings
- Data Extraction
- Scrapeless
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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