AI Automation

PriceWatch: Competitor Price Scraper and Reporter

Scrapes competitor prices daily, detects changes, and sends AI-written insight reports.

Client

TechMart Electronics

Industry

E-commerce / Electronics

Duration

4 weeks

Biggest result

+8%

margin improvement

Overview

Scrapes competitor prices daily, detects changes, and sends AI-written insight reports.

The Challenge

TechMart Electronics operated in a highly competitive electronics market where competitors changed prices daily. Their pricing team spent hours each morning manually checking competitor websites and adjusting their own prices. By the time they reacted, they had already lost sales to cheaper listings.

Our Solution

We built PriceWatch, an automated competitor price monitoring system. Using Python and Playwright, it scrapes over 2,000 SKUs across 5 competitor websites daily. Pandas processes the data, detects meaningful price changes, and an AI agent writes a concise insight report explaining what changed and recommending response actions. Reports are delivered to Google Sheets and via email.

See it in action

See the automation pipeline light up step by step — from trigger to output.

Automation Pipeline

Daily Scrape

Data Processing

AI Insight Report

Google Sheets

Price Alerts

Before vs After

Drag the slider to compare the old process with the new one.

Before

Manual, 2 hrs

Competitor checks

After

Automated, 6 min

Competitor checks

Competitor checks

Before

Manual, 2 hrs

→

After

Automated, 6 min

Price reaction time

Before

Next day

→

After

Same hour

Gross margin

Before

22%

→

After

24%

Results

0

SKUs tracked

+0%

Margin improvement

0

Reports

Improvement visualization

SKUs tracked2,000+
Margin improvement+8%
ReportsDaily

Key Features

  • Daily automated scraping of 2,000+ SKUs across 5 competitors
  • Price change detection with trend analysis
  • AI-written daily insight reports with actionable recommendations
  • Google Sheets integration for real-time price comparison
  • Alert system for significant price drops or increases

Tech Stack

PythonPlaywrightPandasGoogle SheetsMake

Project Timeline

1

Discover

3 days

Identified competitor sites, SKU overlap, and pricing strategy.

2

Build

16 days

Built Playwright scrapers, Pandas processing, AI report generation.

3

Launch

2 days

Deployed scrapers, tested report quality with pricing team.

4

Optimize

Ongoing

Add new competitors, refine alert thresholds, tune AI recommendations.

"We used to find out about competitor price changes the next day. Now we know within the hour and can react immediately. Margins are up 8% across the board."
K

Kevin Torres

Pricing Manager, TechMart Electronics

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