📊 E-commerce product price tracker with ScrapeGraphAI, Baserow and Slack alerts

⚡ 104 views · 📊 Market Research & Insights

💡 Pro Tip — HTTP Request scraping tends to break when sites update their markup. If you’re scraping a major platform, check if ScraperNode covers it — it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.

Description

Product Price Monitor with Mailchimp and Baserow

⚠️ COMMUNITY TEMPLATE DISCLAIMER: This is a community-contributed template that uses ScrapeGraphAI (a community node). Please ensure you have the ScrapeGraphAI community node installed in your n8n instance before using this template.

This workflow scrapes multiple e-commerce sites for product pricing data, stores the historical prices in Baserow, analyzes weekly trends, and emails a neatly formatted seasonal report to your Mailchimp audience. It is designed for retailers who need to stay on top of seasonal pricing patterns to make informed inventory and pricing decisions.

Pre-conditions/Requirements

Prerequisites

• Running n8n instance (self-hosted or n8n cloud)
• ScrapeGraphAI community node installed
• Mailchimp account with at least one audience list
• Baserow workspace with edit rights
• Product URLs or SKU list from target e-commerce platforms

Required Credentials

Baserow Table Setup

Create a table named price_tracker with the following fields:

How it works

This workflow scrapes multiple e-commerce sites for product pricing data, stores the historical prices in Baserow, analyzes weekly trends, and emails a neatly formatted seasonal report to your Mailchimp audience. It is designed for retailers who need to stay on top of seasonal pricing patterns to make informed inventory and pricing decisions.

Key Steps:

• Schedule Trigger: Fires every week (or custom CRON) to start the monitoring cycle.
• Code (Prepare URLs): Loads or constructs the list of product URLs to monitor.
• SplitInBatches: Processes product URLs in manageable batches to avoid rate-limit issues.
• ScrapeGraphAI: Scrapes each product page and extracts the current price and name.
• If (Price Found?): Continues only if scraping returns a valid price.
• Baserow: Upserts the scraped data into the price_tracker table.
• Code (Trend Analysis): Aggregates weekly data to detect price increases, decreases, or stable trends.
• Set (Mail Content): Formats the trend summary into an HTML email body.
• Mailchimp: Sends the seasonal price-trend report to the selected audience segment.
• Sticky Note: Documentation node explaining business logic in-workflow.

Set up steps

Setup Time: 10-15 minutes

1. Clone the template: Import the workflow JSON into your n8n instance.
2. Install ScrapeGraphAI: n8n-nodes-scrapegraphai via the Community Nodes panel.
3. Add credentials:
   a. ScrapeGraphAI API Key
   b. Mailchimp API Key & Server Prefix
   c. Baserow API Token
4. Configure Baserow node: Point it to your price_tracker table.
5. Edit product list: In the “Prepare URLs” Code node, replace the sample URLs with your own.
6. Adjust schedule: Modify the Schedule Trigger CRON expression if weekly isn’t suitable.
7. Test run: Execute the workflow manually once to verify credentials and data flow.
8. Activate: Turn on the workflow for automatic weekly monitoring.

Node Descriptions

Core Workflow Nodes:

• Schedule Trigger – Initiates the workflow on a weekly CRON schedule.
• Code (Prepare URLs) – Generates an array of product URLs/SKUs to scrape.
• SplitInBatches – Splits the array into chunks of 5 URLs to stay within request limits.
• ScrapeGraphAI – Scrapes each URL, using XPath/CSS selectors to pull price & title.
• If (Price Found?) – Filters out failed or empty scrape results.
• Baserow – Inserts or updates the price record in the database.
• Code (Trend Analysis) – Calculates week-over-week price changes and flags anomalies.
• Set (Mail Content) – Creates an HTML table with product, current price, and trend arrow.
• Mailchimp – Sends or schedules the email campaign.
• Sticky Note – Provides inline documentation and edit hints.

Data Flow:

1. Schedule Trigger → Code (Prepare URLs) → SplitInBatches
2. SplitInBatches → ScrapeGraphAI → If (Price Found?) → Baserow
3. Baserow → Code (Trend Analysis) → Set (Mail Content) → Mailchimp

Customization Examples

Change scraping frequency

// Schedule Trigger CRON for daily at 07:00 UTC
0 7 * * *

Add competitor comparison column

// Code (Trend Analysis)
item.competitor_price_diff = item.current_price - item.competitor_price;
return item;

Data Output Format

The workflow outputs structured JSON data:

{
  "product_name": "Winter Jacket",
  "product_url": "https://example.com/winter-jacket",
  "current_price": 59.99,
  "scrape_date": "2023-11-15T08:21:00Z",
  "weekly_trend": "decrease"
}

Troubleshooting

Common Issues

1. Invalid ScrapeGraphAI key – Verify the API key and ensure your subscription is active.
2. Mailchimp “Invalid Audience” error – Double-check the audience ID and that the API key has correct permissions.
3. Baserow “Field mismatch” – Confirm your table fields match the names/types in the workflow.

Performance Tips

• Limit each SplitInBatches run to ≤10 URLs to reduce scraping timeouts.
• Enable caching in ScrapeGraphAI to avoid repeated requests to the same URL within short intervals.

Pro Tips:

• Use environment variables for all API keys to avoid hard-coding secrets.
• Add an extra If node to alert you if a product’s price drops below a target threshold.
• Combine with n8n’s Slack node for real-time alerts in addition to Mailchimp summaries.

🔗 Nodes Used

Slack, Baserow, Schedule Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup