E-commerce price monitor with Firecrawl, Claude-Sonnet AI & Telegram alerts
UnknownWhat this workflow does
This AI workflow has 17 nodes and runs manually, when you click “Execute workflow” (plus 1 other trigger). Along the way it connects Google Sheets, Anthropic, Telegram and Firecrawl (community). It also calls api.apify.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow” (plus 1 other trigger).
- Message a model (Perplexity): uses Perplexity
- Scrape a url and get its content (Firecrawl): scrape
- Start Actor Apify (HTTP Request): calls api.apify.com (POST)
- 📊 Read Historical Data (Google Sheets): uses Google Sheets
- Split Out: splits a list into separate items
- Merge: merges the data from its input branches
- Pause the workflow to let the Apify scraping task finish (Wait): waits 25 seconds
- Merge: merges the data from its input branches
- 🤖 AI Extract Product Data using Claude-Sonnet 4. (Anthropic): uses Anthropic
- Get Results Apify (HTTP Request): calls api.apify.com
…plus 5 more steps. See the full node list below.
Services it uses
HTTP calls to: api.apify.com
Uses Firecrawl. New users get 10% off with our link.
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @mendable/n8n-nodes-firecrawl is verified or supports 3.0 (used in Scrape a url and get its content).
Nodes used (12)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Firecrawl
@mendable/n8n-nodes-firecrawl.firecrawl - Perplexity
n8n-nodes-base.perplexity - Split Out
n8n-nodes-base.splitOut - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Merge
n8n-nodes-base.merge - Google Sheets
n8n-nodes-base.googleSheets - Manual Trigger
n8n-nodes-base.manualTrigger - Anthropic
@n8n/n8n-nodes-langchain.anthropic - Telegram
n8n-nodes-base.telegram - Wait
n8n-nodes-base.wait
From the author
Introduction Automate price monitoring for e-commerce competitors—ideal for retailers, analysts, and pricing teams. Scrapes competitor sites, extracts pricing/stock data via AI, detects changes, and sends instant alerts for dynamic pricing strategies. How It…