📊 Monitor web pages for relevant listings with Claude Haiku and Gmail
⚡ 16 views · 📊 Market Research & Insights
Description
Quick overview
This workflow manually fetches a webpage, uses Anthropic Claude to extract listing-style items from the raw HTML and score them against your criteria, then emails an HTML summary of high-scoring matches via Gmail.
How it works
- Starts when you run the workflow manually.
- Requests the target webpage over HTTP and retrieves the HTML content.
- Sends the cleaned page HTML to the Anthropic Messages API (Claude) to extract a JSON list of items (title, description, link, date).
- Sends each extracted item to Anthropic Claude to score how well it matches your relevance criteria and generate a short justification.
- Keeps only items with a score of 7 or higher.
- Builds an HTML summary of the approved items and sends it via Gmail if at least one match is found.
Setup
- Create an Anthropic API key and configure it as an HTTP Header Auth credential for the two Anthropic HTTP requests (including the required
anthropic-versionheader). - Update the monitored webpage URL in the initial HTTP request node.
- Edit the extraction criteria and scoring criteria text in the two code steps to match what you want to find.
- Connect your Gmail account credentials and set the recipient email address used to send the results.
Requirements
- An n8n instance (self-hosted or n8n Cloud)
- An Anthropic API key
- A Gmail account connected to n8n (or swap for any other email node)
Customization
- Adjust MAX_CHARS in the extraction code step (default 100,000) if your page has heavy filter/navigation menus burying the real content.
- Change the score cutoff (currently 7) in the Filter node for stricter or looser matching.
Additional info
Looking for the fully automated version? A paid version adds a daily schedule, duplicate detection (never get alerted on the same item twice), and a simple no-code config screen: https://wlti.gumroad.com/l/ai-site-monitor
🔗 Nodes Used
HTTP Request, Gmail
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File