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.
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.
Step by step
- Configure the CRON trigger to run at fixed intervals such as every six hours.
- Map the scraped JSON fields like address and price directly to corresponding Notion database properties.
- Set up a Mailchimp audience segment specifically for commercial real estate alerts.
Where the LLM does the work
- Use an LLM to summarize lengthy property descriptions into concise bullet points for email digests.
- Have the LLM classify listings by asset class such as office or retail to improve filtering accuracy.
- Generate personalized subject lines for emails based on the specific properties included in that week's digest.
Watch out for
Scraping logic may break when website structures change so add robust error handling and alerts for failed parses.
Email providers may flag automated digests as spam so include clear unsubscribe links and authenticate your domain.
Tools that fit
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
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
Frequently asked questions
Can I use a different Web Scraping than ScrapeGraphAI?
Yes. ScrapeGraphAI is only the example web scraping in this recipe. The same flow works with Airtop, Apify, Bright Data and Decodo. Swap the web scraping connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for founders and execs who need operations handled without hiring for it.
Also fits E-commerce Operator.