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pricewin-deal-finder

pricewin-deal-finder

github.com/price-winProductivity26.9k installsUpdated 12w ago
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About pricewin-deal-finder

pricewin-deal-finder is a skill for comparing hotel prices across up to four booking sources and returning ranked picks with booking links. It is for agents handling hotel searches by city, dates, and guest count.

Key features

  1. 01Compare prices from up to four sources
  2. 02Rank best-value, cheapest, and quality picks
  3. 03Show per-night prices in USD
  4. 04Include direct booking links
  5. 05Search cities worldwide

Use cases

  1. 01Compare hotel rates for a trip
  2. 02Find the cheapest hotel for set dates
  3. 03Locate stays under a nightly budget

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/price-win/pricewin-skills-hub --skill pricewin-deal-finder

After installing, type/pricewin-deal-finderin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

install.sh
package-lock.json
package.json
bin/
browse.js
daemon.js
search.js
lib/
browser-state.js
dom-extract.js
selector-cache.js
snapshot.js

Details

From the project README

PriceWin Deal Finder

Compare live hotel prices across Booking.com, Agoda, Google Hotels & OpenTravel in one command — and get back ranked best-value, cheapest, and quality picks with direct booking links.

Stop opening five OTA tabs to find the real cheapest rate. Ask your agent "find me a hotel in Tokyo for 12–15 Aug, 2 guests" and this skill returns a clean, ranked comparison in ~30–60 seconds (cached cities).

Invoke this skill for questions like:

  • "What's the cheapest hotel in <city> for <dates>?"
  • "Is Booking.com or Agoda cheaper for this hotel?"
  • "Compare hotel prices for <city>, <N> guests."
  • "Find me a hotel under $<X>/night in <city>."
  • "Best-value place to stay near <landmark> on <dates>?"

Each returns the same one-command answer below — no clarifying round-trip needed.

What you get from one command:

  • 🥇 Best value · 🥈 Cheapest · 🥉 Quality — picked side-by-side
  • Real per-night prices from up to 4 sources, normalized to USD
  • Clickable booking links straight to the cheapest OTA for each hotel
  • Works for any city worldwide — including bot-hardened ones (Shanghai, Hangzhou, Bangkok…) via a stealth Patchright daemon
  • No API keys, no MCP server — node/npx is all you need

Sample result:

🏨 Tokyo • Aug 12–15 • 3 nights • 2 guests
━━━━━━━━━━━━━━━━━━━━
🥇 BEST VALUE
Shinjuku Granbell Hotel
  ✅ agoda      💰 $118/night
     booking    💰 $131/night
     → Save $13 vs Booking
🥈 CHEAPEST
APA Hotel Shinjuku
  ✅ google     💰 $94/night
📊 18 hotels | agoda, booking, google, opentravel • prices in USD

Install:

npx skills add https://github.com/Price-Win/pricewin-skills-hub --skill pricewin-deal-finder

🚨 IMPORTANT — HOW TO USE THIS SKILL

ONE command does everything. Run this as your FIRST action — no clarifying questions first:

cd {baseDir} && node bin/search.js "<city>" <checkInYYYY-MM-DD> <checkOutYYYY-MM-DD> <adults> en-us

{baseDir} is this skill's install directory (auto-resolved by the runtime). If your runtime does not substitute it, cd into the folder that contains this SKILL.md (the one with bin/search.js). Do NOT hardcode a ~/.hermes/... or ~/.openclaw/... path — it differs per platform.

Example:

cd {baseDir} && node bin/search.js "Hangzhou" 2026-06-10 2026-06-13 2 en-us

The script handles everything automatically: daemon launch, Agoda cache lookup, Google + Booking inline search, OpenTravel API lookup (all cities), discovery for new cities, and formatted tier-card output. Just run it and send the output to the user.

DO NOT ask clarifying questions first. Just run the command. Infer all parameters:

  • Year: use the current year from today's date unless the user states otherwise. If the requested day/month has already passed this year, assume next year. (Get today's date with date +%Y-%m-%d if unsure.)
  • "10-13/6" → <year>-06-10 <year>-06-13 — fill <year> from the rule above
  • "2 guests" / "2 people" → 2 adults
  • Locale: language/region code passed to the OTAs (controls site language + region). Default en-us. Prices are in USD (Google Hotels is requested with gl=us&curr=USD); other sources follow the locale you pass.

DO NOT use any other approach. No Python scripts, no curl, no browser tools, no subagents. This one command is all you need.


🚨 CRITICAL RULES — FOLLOW EVERY TIME

RULE 0 — FORBIDDEN TOOLS. Read this twice. This skill drives a long-running Patchright daemon via the terminal tool ONLY. Your runtime exposes several other tools that LOOK convenient but are STRICTLY FORBIDDEN inside this skill:

❌ browser_navigate / browser_open — FORBIDDEN ❌ browser_click — FORBIDDEN ❌ browser_type / browser_fill — FORBIDDEN ❌ browser_snapshot — FORBIDDEN ❌ browser_close — FORBIDDEN ❌ Any other browser_* native tool — FORBIDDEN ❌ delegate_task / spawn_agent / sub-agent delegation — FORBIDDEN

Why: those native tools spawn a vanilla Chromium without stealth, so Booking.com and Agoda detect the bot within seconds and the requests just hang until the runtime kills them with "Command timed out after 30/60 seconds". You will burn 5+ minutes on timeouts and the user will get nothing. The Patchright daemon launched via terminal survives bot-detection.

Delegated subagents start with empty history and no skill context — they will always fall back to Python/curl scraping, which gets bot-blocked immediately. This skill must run entirely in the current agent, using only the terminal tool.

✅ The ONLY allowed way to drive a browser in this skill is via terminal:

terminal: cd {baseDir} && node bin/search.js ...

RULE 1 — search.js handles everything. NEVER scrape an OTA yourself. Do not manually call browse.js commands, do not goto/click/type in the browser, do not build Agoda/Booking/Google URLs by hand, do not call the OpenTravel API separately, do not try to launch the daemon yourself. search.js already drives the stealth daemon through a careful flow that survives bot-detection — it handles Agoda discovery internally for EVERY city (including Chinese cities like Shanghai, Hangzhou, etc.). Manually navigating an OTA is the #1 cause of failure: it trips Agoda/Booking anti-bot ("detect automation", "redirect to homepage", "problem completing your search") and gets the IP blocked. Your ONLY job is to run search.js once and send its output. If you think a source is "missing", re-read RULE 4 — do NOT go fetch it by hand.

RULE 2 — First-time city discovery takes 2–4 minutes. If search.js output contains "discovering" or "launching" messages, tell the user: "First time searching this city — discovering selectors, this takes about 2–4 minutes..." and wait for the result. Do NOT retry or abort.

RULE 3 — Send the output exactly. search.js outputs formatted tier cards ready to send. Copy the output directly into your response. Do not reformat, summarize, or abbreviate it.

RULE 3a — PRESERVE MARKDOWN HYPERLINKS. Every hotel name in the output is already wrapped as [Hotel Name](https://booking-url...). This is a clickable hyperlink — DO NOT:

  • Strip the markdown and show the URL on a separate 🔗 https://... line
  • Replace [Hotel Name](url) with plain text
  • Capitalize OTA names ("google" stays "google", not "Google")
  • Rename sections — "📋 More good deals" stays exactly

The output is Telegram-MarkdownV2-ready. Sending it as-is gives the user clickable hotel names with hidden URLs (clean UI).

RULE 3b — If you DO add a suggestion / commentary section after the output, every hotel name you mention MUST also be a markdown hyperlink [Hotel Name](url) using the SAME URL the script printed for that hotel. Never write a hotel name as plain text in your own commentary.

RULE 4 — Partial results are NORMAL and acceptable. Never "fix" them by hand. A source can be absent from the output (e.g. Agoda blocked this run, or OpenTravel has no inventory for the city). That is FINE — send the tier cards with whatever sources are present. The footer (📊 N hotels | <sources> • prices in USD) lists exactly what was found. Do NOT try to fetch the missing source via the browser, a direct URL, or any other tool — that triggers anti-bot and makes things worse. If search.js errors out entirely, tell the user what failed in 1 line and show any partial output it printed above the error. If you want more coverage, the only valid retry is running the SAME search.js command again (anti-bot is often transient).


Output Format Reference

search.js prints tier cards in this format — you send this directly to the user:

The hotel name is a Markdown link to its cheapest OTA. Price rows carry NO links and the OTA key is shown lowercase (agoda/booking/google/opentravel). There are no star ratings or area lines — the script does not have that data.

🏨 <city> • <d1>–<d2> • <N> nights • <adults> guests
━━━━━━━━━━━━━━━━━━━━

🥇 BEST VALUE
[<Hotel Name>](<cheapest_link>)
  ✅ agoda      💰 <price>/night
     booking    💰 <price>/night
     opentravel 💰 <price>/night
     → Save <diff> vs Booking

🥈 CHEAPEST
[<Hotel Name>](<cheapest_link>)
  ✅ google     💰 <price>/night
     agoda      💰 <price>/night

🥉 QUALITY
[<Hotel Name>](<cheapest_link>)
  ✅ booking    💰 <price>/night
     agoda      💰 <price>/night

📋 More good deals
  — Agoda —
  • [<Hotel>](<agoda_link>) — agoda: <price> | booking: <price>
  — Booking —
  • [<Hotel>](<booking_link>) — booking: <price>
  — Google —
  • [<Hotel>](<google_link>) — google: <price>
  — OpenTravel —
  • [<Hotel>](<opentravel_link>) — opentravel: <price>

💡 Tip: <best Hotel Name>
   [Book on <OTA>](<link>) — <price>/night

📊 <N> hotels | <sources with data> • prices in USD

All prices are shown in USD. Agoda, Google and OpenTravel geo-lock to VND by IP and are converted via a live FX rate; Booking returns USD natively. Only sources that actually returned data are listed in the footer.


Limitations

  • First search per city pays the Agoda discovery cost (2–4 minutes). Google and Booking are inline (no discovery); OpenTravel is a direct API call.
  • Subsequent searches reuse the Agoda cache and complete in ~30–60 seconds.

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