You are helping me build the following AI agent workflow.

## Goal
Competitor Price Monitoring with Web Scraping: Daily agent that scrapes competitor prices from a master list and alerts you via Telegram whenever a price changes.

## Specification
- What it does: Get instant Telegram alerts whenever a competitor changes their prices for products on your master list. The agent automatically checks each item's current price against your Google Sheets data so you never miss a shift in the market.
- Trigger: On a schedule (Scheduled · daily 8:00 AM)
- Autonomy: Fully hands-off
- Expected setup effort: under an hour
- Tools/services involved:
  - Google Sheets: Store product data and log price history
  - HTTP Request: Fetch web pages for scraping
  - HTML: Extract price data via CSS selectors
  - Telegram: Send alerts for price changes

## Known pitfalls, handle each one explicitly in your implementation
1. Competitor sites often block automated requests, so you must rotate user agents and add random delays between calls.
2. Price formats vary across sites like '$10.99' versus '10,99 EUR', so normalize strings before numerical comparison.
3. Dynamic JavaScript rendering may hide the price in the initial HTML response, requiring a headless browser solution.

## Reference implementation
https://n8n.io/workflows/4640 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/competitor-price-monitoring-with-web-scraping/ via usecasesforagents.com