One Place one-place.com

Can AI replace One Place?

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.

Verdict: Nah · Keep paying, or use a free alternativeBuild time: multi-week
Nah

01What it costs

$45.06/moPro, monthly
$540.72per year at that price

Checked Aug 11, 2026 · source: one-place.com. The free plan gives unlimited search and saved searches, capped at 5 boards.

PlanMonthlyBilled yearlyWhat you get
FreeFreeFreeUnlimited search, favorites, saved searches and alerts; maximum 5 boards.
Pro$45.06—Unlimited boards plus lead pipeline, activity tracking and agentic search.

Hidden costs: VAT is added where applicable. The annual discount/price was present behind a selector but not independently verifiable, so it is left null.

02Could AI build it for you?

The core job: Run saved searches on a schedule, crawl configured source pages, use an LLM API key to extract listing fields, dedupe into SQLite, email matching finds, and expose an MCP server for chat/coding agents.

What a working version needs:

  • cron-style scheduled search runner
  • Playwright scraping
  • LLM API key for listing extraction
  • SMTP or Resend email alerts
  • MCP server for agent access

The scheduled personal monitoring agent is buildable. The market-wide index is the product.

03What you'd give up

  • 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

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.

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version. Read the verdict first: this one is hard to get right.

prompt.txt
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.
Sponsor slot · openFeatured alternative to One Place. A labeled card for one relevant tool.
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App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.