Track lowest Google Shopping prices with Bright Data, Claude, and Google Sheets
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 11 nodes and runs on a schedule (every day at 08:00). Along the way it connects Google Sheets, Anthropic and Brightdata (community).
How it runs
Trigger: On a schedule (every day at 08:00).
- Read Products from Sheets (Google Sheets): uses Google Sheets
- Initiate Shopping Snapshot (Bright Data): filter dataset (marketplace dataset)
- Wait: waits 50 seconds
- Verify Snapshot Completion (Bright Data): get snapshot metadata (marketplace dataset)
- If: checks a condition and branches into true / false
- Retrieve Shopping Data (Bright Data): get snapshot content (marketplace dataset)
- Combine Shopping Results (Aggregate): combines items into one
- AI Determine Lowest Price (Anthropic): uses Anthropic
- Prepare Data for Sheet (Edit Fields (Set)): sets 6 fields: Lowest Price, Retailer, Product Title…
- Update Prices in Sheets (Google Sheets): update
Services it uses
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 @brightdata/n8n-nodes-brightdata is verified or supports 3.0 (used in Initiate Shopping Snapshot, Verify Snapshot Completion, Retrieve Shopping Data).
Nodes used (8)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Google Sheets
n8n-nodes-base.googleSheets - Bright Data
@brightdata/n8n-nodes-brightdata.brightData - Wait
n8n-nodes-base.wait - If
n8n-nodes-base.if - Aggregate
n8n-nodes-base.aggregate - Anthropic
@n8n/n8n-nodes-langchain.anthropic - Edit Fields (Set)
n8n-nodes-base.set
From the author
Quick overview This workflow runs daily and checks Google Shopping prices for product keywords stored in Google Sheets using Bright Data snapshots, then uses Anthropic Claude to exclude accessories and identify the lowest valid price and retailer before…