You can build a scheduled personal property monitor, but not One Place: the value is the maintained real-estate corpus, crawler fleet, AI extraction, deduplication, image/semantic search, geo enrichment, and constant source upkeep across millions of listings.
Der Moat
Ein Moat ist der Burggraben um ein Produkt: alles, was ein Nachbau nicht einfach mitkopieren kann, etwa Nutzer, Daten, Verträge oder Vertrauen. Je tiefer der Graben, desto eher lohnt sich das Abo trotz KI-Agent.Indizes, Archive oder Live-Daten lassen sich nicht einfach nachbauen.
Globaler Betrieb und hohe Verfügbarkeit sind schwer selbst zu tragen.
Der Prompt
Build me a scheduled personal property monitoring agent, the honest consolation build for One Place: it watches the sources I configure, it does not rebuild a live nationwide real-estate index. Requirements: - Node + Express + better-sqlite3 on localhost:4920, with a small web UI for saved searches, matches, and lead notes. - Saved searches live in SQLite: name, source URLs, natural-language criteria, hard filters, cadence, email recipients, and last-run time. - A node-cron runner wakes on each cadence, fetches configured source/search pages with Playwright, and stores raw HTML snapshots for debugging. - Send cleaned listing HTML to an LLM API key from .env and extract strict JSON: title, price, currency, surface, rooms, location text, description, image URLs, source URL, and confidence. - Match each extracted listing against the saved search criteria with deterministic filters first, then an LLM yes/no explanation for fuzzy preferences like renovation potential or sea view. - Store listings and match decisions in SQLite, dedupe by canonical URL first and fuzzy title+price+surface+location second; keep price-change history. - Email new matches via Resend or SMTP creds in .env, including the match reason, key fields, source link, and unsubscribe/disable link for that saved search. - Include an MCP server exposing tools: list_saved_searches, run_search_now, get_recent_matches, explain_match, update_search, and add_lead_note, so Claude/Codex can operate it from chat. - No accounts, no telemetry, binds to localhost only. Out of scope: nationwide coverage, anti-bot arms races, paid data resale, mobile apps, and collaborative CRM. - README: crawler ethics, robots/terms warning, required API/email keys, how to run the scheduler, and how to connect the MCP server.
Lies, was Entscheider lesen.
Jeden Sonntag das Wichtigste aus der KI-Welt. Kompakt, verständlich, praxisnah. Schließe dich über 4.500 Lesern an.
100 % kostenlos. Jederzeit mit einem Klick abmeldbar.
They pay because property search is a moving data pipeline: portals block scrapers, listing HTML changes, duplicates multiply, and the useful part is having the whole market normalized and searchable before a deal disappears.
| Plan | Monatlich | Jährlich (pro Monat) | Enthalten |
|---|---|---|---|
| Free | 0 € / flat | 0 € | Unlimited search, favorites, saved searches and alerts; maximum 5 boards. |
| Pro | 38,86 € / flat | n. a. | Unlimited boards plus lead pipeline, activity tracking and agentic search. |
Geprüft am 11.08.2026 · Quelle · aus USD umgerechnet, der EUR-Preis beim Anbieter kann abweichen
Preis, Nachbau und Ersparnis von One Place auf einen Blick.
One Place kostet im Plan „Pro" 38,86 € pro Monat (geprüft am 11.08.2026). Gratis-Version: The free plan gives unlimited search and saved searches, capped at 5 boards.
Nein, lieber zahlen: You can build a scheduled personal property monitor, but not One Place: the value is the maintained real-estate corpus, crawler fleet, AI extraction, deduplication, image/semantic search, geo enrichment, and constant source upkeep across millions of listings.
Beim Eigenbau verzichtest du auf: millions of already-normalized listings, maintained crawlers across real-estate portals, AI extraction, deduplication, and image/semantic search at scale, geo/POI enrichment and currency/unit normalization, hosted boards, lead pipeline, sharing, and agentic search.
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