PriceWatch - Cross-Platform Competitive Price Monitor

Other

Monitors competitor prices across Amazon, Walmart, Shopify, and Etsy with AI-driven normalization, alerts, and historical trend analysis.

Install

openclaw skills install pricewatch

PriceWatch - Cross-Platform Competitive Price Monitor

Version: 1.0.0 Author: SMTM Skill Smith Category: E-commerce / Data & API Tags: price-monitoring, ecommerce, competitor-analysis, scraping, alerts

Overview

PriceWatch is an AI-powered cross-platform price monitoring skill for OpenClaw agents. It automatically tracks competitor pricing across Amazon, Walmart, Shopify stores, and Etsy, detects price changes, normalizes prices across currencies and regions, and sends intelligent alerts via Slack, Telegram, Email, or webhook.

Why PriceWatch?

Existing price tools focus on single platforms (mostly Amazon or Chinese marketplaces)
No cross-platform price normalization exists in the OpenClaw ecosystem
Businesses waste $300-500/month on fragmented SaaS tools — PriceWatch replaces them with pay-per-use at ~$50/month

Features

Core Capabilities

Multi-Platform Monitoring — Track products across Amazon, Walmart, Shopify, Etsy simultaneously
Smart Price Normalization — Handles different currencies, tax regimes, shipping costs automatically
Historical Price Tracking — Built-in SQLite database stores price history for trend analysis
Intelligent Alerts — Configurable thresholds, cooldown deduplication, and AI-contextualized notifications
Scheduled Scanning — Set scan intervals from 10 minutes to daily
Batch Import — Upload product URLs via CSV or direct input (up to 500 products per watchlist)

AI-Powered Analysis

Price drop detection with "So What?" contextual impact analysis
Competitor behavior pattern recognition (frequency, magnitude, seasonality)
Automatic price trend summaries with buy/hold/wait recommendations
Market position reports — how your pricing compares to top 10 competitors

Notification Channels

Channel	Setup Required	Format
Slack Webhook	Incoming Webhook URL	Rich card with price chart
Telegram Bot	Bot Token + Chat ID	Formatted message + chart
Email (SMTP)	SMTP credentials	HTML email with table
Custom Webhook	Any HTTP endpoint	JSON payload

Installation

# Via ClawHub CLI
npx clawhub@latest install smtm-pricewatch

# Or manual install
git clone https://github.com/smtm-skills/pricewatch.git
cd pricewatch
cp scripts/config.example.yaml scripts/config.yaml
# Edit config.yaml with your settings

Quick Start

# config.yaml
watchlist:
  - name: "Competitor Running Shoes"
    platform: amazon
    url: "https://www.amazon.com/dp/B08EXAMPLE"
    target_price: 89.99
    currency: USD
  - name: "Competitor Yoga Mat"
    platform: walmart
    url: "https://www.walmart.com/ip/EXAMPLE123"
    target_price: 29.99
    currency: USD

alerts:
  slack_webhook: "https://hooks.slack.com/services/xxx"
  cooldown_minutes: 30
  threshold_percent: 5.0

schedule:
  interval_minutes: 60

# Run a scan
npx clawhub run smtm-pricewatch --scan

# Add a product to watchlist
npx clawhub run smtm-pricewatch --add --url "https://shopify.com/product/xyz" --target 49.99

# View price history
npx clawhub run smtm-pricewatch --history --product "Competitor Running Shoes"

# Generate market report
npx clawhub run smtm-pricewatch --report

Skill Interface

Input Parameters

Parameter	Type	Required	Description
`action`	string	Yes	`scan`, `add`, `history`, `report`, `export`
`url`	string	For `add`	Product URL to monitor
`target_price`	number	For `add`	Alert threshold price
`platform`	string	For `add`	`amazon`, `walmart`, `shopify`, `etsy`
`product_name`	string	For `history`	Name of product to look up

Output / Return Data

{
  "status": "success",
  "scan_id": "scan_20260616_001",
  "products_scanned": 15,
  "alerts_triggered": 2,
  "alerts": [
    {
      "product": "Competitor Running Shoes",
      "platform": "amazon",
      "old_price": 95.00,
      "new_price": 85.00,
      "change_percent": -10.53,
      "currency": "USD",
      "detected_at": "2026-06-16T10:30:00Z",
      "recommendation": "Strong buy signal — price at lowest point in 30 days"
    }
  ],
  "next_scheduled_scan": "2026-06-16T11:30:00Z"
}

Dependencies

Python 3.9+ (for the scraping engine)
SQLite3 (included in Python stdlib)
requests library (for webhooks and API calls)
beautifulsoup4 (for HTML parsing when needed)
OpenClaw Agent (any version with skill support)

Files Structure

smtm-pricewatch/
├── SKILL.md              # This file — skill definition
├── skill-card.md         # ClawHub marketplace listing
├── scripts/
│   ├── price_watch.py    # Core monitoring engine
│   ├── config.yaml       # User configuration (generated from example)
│   ├── config.example.yaml  # Configuration template
│   └── platforms/
│       ├── amazon.py     # Amazon scraper adapter
│       ├── walmart.py    # Walmart scraper adapter
│       ├── shopify.py    # Shopify scraper adapter
│       └── etsy.py       # Etsy scraper adapter
└── data/
    └── price_history.db  # SQLite database (auto-created)

Security & Privacy

All data stored locally in SQLite — no external database required
No API keys sent to third parties (except user-configured webhooks)
Configurable user-agent rotation and rate limiting
Open source — fully auditable

Roadmap

Version	Feature	Status
1.0	Core multi-platform monitoring, price normalization, Slack/Telegram alerts	MVP
1.1	Historical trends chart, batch CSV import	Planned
1.5	eBay, AliExpress support; dynamic repricing suggestions	Planned
2.0	AI-powered competitive intelligence reports, market share analysis	Future

Support

GitHub Issues: https://github.com/smtm-skills/pricewatch/issues
Documentation: https://smtm-skills.github.io/pricewatch/docs
Discord: SMTM Skill Smith community (link in skill-card.md)