Build an AI-Powered Web Data Pipeline with n8n, Scrapeless, and Claude
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Unlock the power of web data with this n8n workflow. Seamlessly scrape and extract information from websites using Scrapeless and leverage Claude AI for intelligent data formatting and analysis.
About This Workflow
This powerful n8n workflow automates the entire process of web data acquisition and processing. It begins by using Scrapeless's advanced unblocking capabilities to reliably fetch website content, even from dynamic and protected sites. The extracted raw HTML is then fed into Claude 3.7 Sonnet, an advanced AI model, which intelligently parses, formats, and structures the data into a usable JSON format. Finally, the processed data is ready for further analysis, storage in a vector database like Qdrant, or triggering notifications via webhooks to platforms like Discord.
Key Features
- Robust Web Scraping: Utilizes Scrapeless Web Unlocker to overcome common scraping challenges.
- Intelligent Data Extraction & Formatting: Employs Claude 3.7 Sonnet for sophisticated AI-driven data parsing and structuring.
- Vector Database Integration: Seamlessly prepares data for storage and semantic search in Qdrant, enhanced by Ollama embeddings.
- Real-time Notifications: Integrates with Discord webhooks to send formatted alerts and processed data.
- Flexible Configuration: Easily customize URLs, API keys, and Scrapeless parameters for diverse use cases.
How To Use
- Configure Triggers and Initial Setup: Start with the 'When clicking 'Test workflow'' node. Set your target website URL and Discord webhook URL in the 'Set Fields - URL and Webhook URL' node.
- Scrape Website Content: The 'Scrapeless Web Request' node handles fetching the HTML content. Ensure your
scrapeless_api_keyis correctly configured. - AI Data Extraction and Formatting: Connect the output of Scrapeless to the AI processing. This involves configuring Claude API calls with your
x-api-keyand specifying the model (e.g.,claude-3-7-sonnet-20250219). - Process and Structure AI Output: Use the 'Format Claude Output' code node to parse Claude's response, handle potential errors, and structure the extracted data into a clean JSON format suitable for vectorization or further processing.
- Store in Vector Database: Configure the vector database node (e.g., Qdrant) to store the processed data, including embeddings generated by Ollama. Ensure your Qdrant connection details and collection creation logic are set up.
- Webhook Notifications: Connect the output to a webhook node (e.g., Discord) to send formatted notifications or the extracted data to your preferred communication channel.
Apps Used
Workflow JSON
{
"id": "4ba88816-ab32-49e6-9a0a-edc51683b763",
"name": "Build an AI-Powered Web Data Pipeline with n8n, Scrapeless, and Claude",
"nodes": 8,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 4ba88816-ab32...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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