You are helping me build the following AI agent workflow.

## Goal
Commercial Real Estate Listing Monitor: Scrapes commercial real estate sites for new listings, deduplicates them in Notion, and sends email alerts or weekly digests via Mailchimp.

## Specification
- What it does: Stay updated on commercial real estate opportunities as this agent automatically scrapes multiple websites for new listings and deduplicates them in your Notion database. You receive timely email alerts or weekly digests via Mailchimp so you never miss a potential property without manually searching.
- Trigger: On a schedule (Scheduled · weekly or Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: under an hour
- Tools/services involved:
  - ScrapeGraphAI: Web scraping property listings from real estate sites
  - Notion: Storing and managing consolidated property data
  - Mailchimp: Sending weekly updates or immediate alerts to subscribers

## Known pitfalls, handle each one explicitly in your implementation
1. Scraping logic may break when website structures change so add robust error handling and alerts for failed parses.
2. Email providers may flag automated digests as spam so include clear unsubscribe links and authenticate your domain.

## Reference implementation
https://n8n.io/workflows/11927 (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/commercial-real-estate-listing-monitor/ via usecasesforagents.com