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Agent Skill · 研究检索

ai-airbnb-revenue-maximizer-v2(ai Airbnb 收入最大化 v2)

ai-airbnb-revenue-maximizer-v2 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ai-airbnb-revenue-maximizer-v2 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 26,800。

总安装 3,501周安装 143GitHub Stars 公开资料未说明下载 1,121核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-airbnb-revenue-maximizer-v2(ai Airbnb 收入最大化 v2)
来源仓库:https://github.com/nicemaths123/ai-airbnb-revenue-maximizer-v2
安装命令:
openclaw skills install ai-airbnb-revenue-maximizer-v2
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ai-airbnb-revenue-maximizer-v2

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于分析 Airbnb 房源收入潜力。生成动态定价与 SEO 优化建议。提供季节性市场洞察报告。ai-airbnb-revenue-maximizer-v2 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需确认地理位置与房源数据权限。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

建议结合当地法规审核定价策略。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install ai-airbnb-revenue-maximizer-v2;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ai-airbnb-revenue-maximizer-v2 怎么安装?

在终端执行 openclaw skills install ai-airbnb-revenue-maximizer-v2。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ai-airbnb-revenue-maximizer-v2 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ai-airbnb-revenue-maximizer-v2 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

ai-airbnb-revenue-maximizer-v2 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ai-airbnb-revenue-maximizer-v2 用的人多吗?

公开数据是累计安装 3,501 次,近一周安装 143 次,下载 1,121 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ai-airbnb-revenue-maximizer-v2 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ai-airbnb-revenue-maximizer-v2

ai Airbnb 收入最大化 v2 · 本页

3,501—操作浏览器MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

🏠 AI Airbnb Revenue Maximizer — Spy on Top Listings & Earn 40% More From Your Property


📋 ClawHub Info

Slug: ai-airbnb-revenue-maximizer

Display Name: AI Airbnb Revenue Maximizer — Spy on Top Listings & Earn 40% More From Your Property

Changelog: v1.0.0 — Scrapes Airbnb for top-performing listings in any market, reverse-engineers pricing strategy, occupancy rates and listing optimization techniques, detects seasonal pricing gaps, generates a fully optimized listing with SEO title and description, builds a dynamic pricing calendar, and produces a professional property showcase video via InVideo AI. Powered by Apify + InVideo AI + Claude AI.

Tags: airbnb short-term-rental property revenue-optimization apify invideo hosting dynamic-pricing listing-optimization occupancy vrbo passive-income


Category: Short-Term Rental / Property Optimization Powered by: Apify + InVideo AI + Claude AI

Input your property and location. Get a complete Airbnb revenue intelligence report — top listings in your market reverse-engineered, occupancy and pricing patterns decoded, seasonal gaps identified, your listing fully rewritten for maximum conversion, a dynamic pricing calendar built, and a professional property showcase video produced. The average host using data-driven optimization earns 40% more. This is that data.

💥 Why This Skill Will Blow Up on ClawHub

There are 7 million Airbnb listings worldwide and the majority of hosts earn a fraction of what their property could make. The difference between a $1,200/month listing and a $3,400/month listing in the same building is almost entirely:

  1. Listing quality and SEO
  2. Dynamic pricing strategy
  3. Knowing what top competitors charge and when

Professional Airbnb management companies charge 20-30% of revenue for exactly this intelligence. This skill delivers it for $4.

Target audience: Airbnb hosts, VRBO hosts, short-term rental investors, property managers, real estate investors adding STR to their portfolio. 7 million hosts worldwide and growing.

What gets automated:

  • 🔍 Scrape top 50 listings in your market — pricing, occupancy, review scores
  • 💰 Decode dynamic pricing patterns — when top hosts raise and drop rates
  • 📅 Detect seasonal gaps — dates your competitors are full while you're empty
  • ✍️ Rewrite your listing title + description — SEO-optimized for Airbnb search
  • 📊 Build 12-month pricing calendar — recommended nightly rate every day of the year
  • 🎬 Produce property showcase video via InVideo AI — converts browsers to bookers

🛠️ Tools Used

ToolPurpose
Apify — Airbnb ScraperTop listings in market — pricing, availability, reviews, photos
Apify — Google Search ScraperLocal events, conferences, festivals — demand surge calendar
Apify — Google Trends ScraperSearch demand for your location — seasonal patterns
Apify — Booking.com ScraperCross-platform pricing — are you competitive on all channels?
Apify — Google Maps ScraperNew attractions, hotels, events near your property
Apify — Reddit Scraperr/airbnb, r/airbnbhosts — guest pain points + host strategies
InVideo AIProduce professional property showcase video
Claude AIPricing model, listing optimization, calendar generation

⚙️ The Revenue Intelligence Framework

THE 5 LEVERS OF AIRBNB REVENUE:

💰 LEVER 1 — Nightly Rate Optimization
  └─ Most hosts set one rate and forget it
  └─ Top hosts adjust pricing 3-4x per week based on demand signals
  └─ Result: 25-35% more revenue for same occupancy

📅 LEVER 2 — Minimum Stay Strategy
  └─ 2-night minimum = filling weekends, bleeding weekdays
  └─ Dynamic minimum stays: 1 night for gaps, 3 nights for peak
  └─ Result: 15-20% more occupancy

🔍 LEVER 3 — Listing SEO
  └─ Airbnb search works like Google — keywords in title + description matter
  └─ Most hosts write descriptions for humans, not for the algorithm
  └─ Result: 2-3x more impressions from same listing quality

⭐ LEVER 4 — Review Velocity
  └─ Listings with 20+ reviews get 40% more clicks than listings with 5
  └─ Review request timing and message template matters
  └─ Result: faster review accumulation = faster rank improvement

📸 LEVER 5 — Visual Conversion
  └─ Cover photo = 80% of click-through decision
  └─ Video listings convert 2x better than photo-only
  └─ First 3 photos must sell the fantasy, not document the room

⚙️ Full Workflow

INPUT: Your property details + location + current performance
        ↓
STEP 1 — Market Intelligence Scrape
  └─ Top 50 listings in your area (same bedroom count)
  └─ Extract: nightly rate, occupancy estimate, review score, amenities
  └─ Find: the top 10% earners — what do they do differently?
        ↓
STEP 2 — Competitive Pricing Analysis
  └─ Average nightly rate per day of week in your market
  └─ Weekend premium: how much do top hosts charge extra?
  └─ Seasonal patterns: when do rates spike? When do they crash?
  └─ Your current rate vs market: are you over or underpriced?
        ↓
STEP 3 — Demand Surge Calendar
  └─ Local events: concerts, festivals, conferences, sports
  └─ School holidays: peak family travel periods
  └─ Public holidays: long weekend premium opportunities
  └─ Low season: how do top hosts maintain occupancy?
        ↓
STEP 4 — Listing SEO Audit
  └─ Current title: missing keywords? Under character limit?
  └─ Description: does it lead with benefits or features?
  └─ Amenity keywords: are searchable amenities listed correctly?
  └─ Photo order: is cover photo optimized for click-through?
        ↓
STEP 5 — Dynamic Pricing Calendar (12 months)
  └─ Base rate recommendation (weeknight)
  └─ Weekend rate (+% premium)
  └─ Event surge rates (per detected event)
  └─ Low season floor rate (minimum to maintain cashflow)
  └─ Last-minute discount strategy (how to fill gaps)
        ↓
STEP 6 — Claude AI Rewrites Full Listing
  └─ New SEO-optimized title (under 50 chars, keyword-rich)
  └─ New description (lead with the fantasy, not the features)
  └─ Amenities list (every searchable term included)
  └─ House rules (conversion-friendly, not intimidating)
        ↓
STEP 7 — InVideo AI Produces Property Showcase Video
  └─ 60-second cinematic property walkthrough
  └─ Highlights: hero shot → living → bedroom → kitchen → outdoor
  └─ Voiceover sells the experience, not the square footage
  └─ Upload to listing: 2x conversion vs photo-only listings
        ↓
OUTPUT: Market intel + pricing calendar + optimized listing + showcase video + revenue projection

📥 Inputs

{
  "property": {
    "location": "Lisbon, Portugal — Alfama district",
    "type": "2-bedroom apartment",
    "max_guests": 4,
    "current_nightly_rate": 89,
    "current_monthly_revenue": 1650,
    "current_occupancy_rate": "62%",
    "current_review_score": 4.6,
    "review_count": 34,
    "listing_url": "airbnb.com/rooms/..."
  },
  "goals": {
    "target_monthly_revenue": 2800,
    "priority": "maximize revenue (not occupancy)",
    "willing_to_adjust_pricing_dynamically": true
  },
  "current_listing": {
    "title": "Cozy 2BR apartment in Lisbon",
    "description_quality": "basic — written by owner, no SEO"
  },
  "production": {
    "invideo_api_key": "YOUR_INVIDEO_API_KEY",
    "video_style": "cinematic_property_showcase"
  },
  "apify_token": "YOUR_APIFY_TOKEN"
}

📤 Output Example

{
  "market_intelligence": {
    "location": "Lisbon, Portugal — Alfama",
    "listings_analyzed": 187,
    "your_position": "Bottom 40% of earners in your category",
    "top_10_percent_monthly_revenue": "$3,800–$5,200",
    "your_current_monthly_revenue": "$1,650",
    "gap": "You are earning 43% of what top listings make in the same area",
    "primary_gap": "Your nightly rate ($89) is 34% below market average for comparable listings ($135)",
    "secondary_gap": "62% occupancy — top hosts run 78-84% because of dynamic minimum stays"
  },
  "competitive_pricing_analysis": {
    "market_rates_comparable_listings": {
      "weeknight_avg": "$118",
      "friday_saturday_avg": "$167",
      "your_current_rate": "$89 flat — no weekend premium",
      "you_vs_market": "31% below weekday average, 47% below weekend average"
    },
    "top_earner_pricing_pattern": {
      "base_weeknight": "$125",
      "friday_saturday": "$175",
      "holiday_weekends": "$240",
      "low_season_floor": "$79",
      "last_minute_3_days": "$69 (fill gaps)"
    },
    "your_revenue_at_market_rates": "$2,940/month at same 62% occupancy — you're leaving $1,290/month on the table TODAY just from underpricing"
  },
  "demand_surge_calendar": {
    "high_demand_dates": [
      { "event": "NOS Alive Music Festival", "dates": "July 10-13", "recommended_rate": "$220/night", "expected_occupancy": "100%" },
      { "event": "Lisbon Half Marathon", "dates": "March 16", "recommended_rate": "$180/night", "book_out_weeks": 6 },
      { "event": "Web Summit", "dates": "November 4-7", "recommended_rate": "$280/night", "note": "Biggest tech conference in Europe — Alfama location is premium" },
      { "event": "Semana Académica", "dates": "May 19-25", "recommended_rate": "$160/night" }
    ],
    "low_season_strategy": {
      "months": "January, February",
      "top_host_tactic": "Drop to $69-79 on weeknights, offer 7-night minimum = attract digital nomads for full weeks",
      "occupancy_with_tactic": "71% vs market average 48% in January"
    }
  },
  "listing_seo_audit": {
    "current_title": "Cozy 2BR apartment in Lisbon",
    "title_issues": [
      "Missing location keyword 'Alfama' — this is what travelers search",
      "'Cozy' is one of the most overused words on Airbnb — algorithmically penalized",
      "Missing key differentiators — no mention of view, terrace, or historic district"
    ],
    "optimized_title": "Alfama Heritage Apartment | Terrace + Castle Views | 2BR",
    "title_rationale": "'Alfama' + 'Castle Views' = high-search, high-desire keywords. 'Heritage' signals premium. 47 characters — under Airbnb's 50-char optimal.",
    "description_audit": {
      "current_issues": "Leads with room specs not the experience. No sensory language. No local recommendations.",
      "airbnb_algorithm_missing": ["terrace", "castle view", "historic", "fado", "tram"]
    }
  },
  "optimized_listing": {
    "title": "Alfama Heritage Apartment | Terrace + Castle Views | 2BR",
    "description": "Wake up to the sound of Lisbon. From your private terrace, watch the morning light hit São Jorge Castle while the city slowly comes to life below.\
\
This 2-bedroom apartment sits in the heart of Alfama — Lisbon's oldest and most soulful neighbourhood. Centuries-old cobblestones, fado music drifting through open windows, the scent of pastel de nata from the bakery downstairs.\
\
✨ THE SPACE\
Two bedrooms sleeping up to 4 guests comfortably. A fully equipped kitchen for lazy mornings. A terrace with uninterrupted castle views — the kind of view guests come back for.\
\
📍 THE LOCATION\
The castle is 4 minutes on foot. The best fado houses are 3 minutes away. The 28 tram stops directly outside. You don't just stay in Lisbon here — you live in it.\
\
🎯 PERFECT FOR\
Couples and small families who want to feel the real Lisbon. Photographers who want golden hour from a private terrace. First-timers and 10th-timers alike — Alfama never gets old.\
\
We've prepared a neighbourhood guide with our favourite spots — things no tourist map will tell you.",
    "seo_keywords_added": ["Alfama", "castle view", "terrace", "fado", "historic", "tram 28", "heritage"],
    "house_rules_rewrite": "We just ask that you treat the apartment as your Lisbon home — with care. Noise levels respected after 10pm (our neighbours are the real Lisbon). Checkout by 11am so the next guests can have the full experience too."
  },
  "pricing_calendar": {
    "january": { "weeknight": 72, "weekend": 89, "special_notes": "Digital nomad discount: 7+ nights at $65/night" },
    "february": { "weeknight": 78, "weekend": 95 },
    "march": { "weeknight": 115, "weekend": 155, "events": "Lisbon Half Marathon: $180" },
    "april": { "weeknight": 135, "weekend": 175, "notes": "Easter weekend: $220" },
    "may": { "weeknight": 130, "weekend": 168 },
    "june": { "weeknight": 145, "weekend": 189 },
    "july": { "weeknight": 155, "weekend": 195, "events": "NOS Alive: $220 x 4 nights" },
    "august": { "weeknight": 160, "weekend": 205, "notes": "Peak season — no discounts, 3-night minimum" },
    "september": { "weeknight": 138, "weekend": 178 },
    "october": { "weeknight": 125, "weekend": 162 },
    "november": { "weeknight": 115, "weekend": 148, "events": "Web Summit: $280 x 4 nights" },
    "december": { "weeknight": 130, "weekend": 169, "events": "Christmas/NYE: $250" },
    "annual_revenue_projection": "$3,420/month average = $41,040/year (vs current $19,800)"
  },
  "showcase_video": {
    "script": "Alfama, Lisbon. Europe's oldest neighbourhood. And from this terrace — that's São Jorge Castle. This is where you wake up. Two bedrooms, a fully equipped kitchen, and that view, every morning. Four minutes to the castle on foot. Three minutes to the best fado houses in the city. The 28 tram stops directly outside. This isn't a hotel. This is Lisbon — the way locals live it. Book your dates before they go.",
    "duration": "60s",
    "status": "produced",
    "file": "outputs/alfama_property_showcase.mp4"
  }
}

🧠 Claude AI Master Prompt

You are a world-class Airbnb revenue optimization specialist and short-term rental strategist.

MARKET DATA: {{top_listings_pricing_occupancy_reviews}}
EVENTS DATA: {{local_events_conferences_festivals}}
SEASONAL DATA: {{google_trends_booking_patterns}}
COMPETITOR LISTINGS: {{top_earner_titles_descriptions_amenities}}

PROPERTY PROFILE:
- Location: {{location}}
- Type: {{property_type}}
- Current rate: ${{current_rate}}/night
- Current occupancy: {{occupancy}}%
- Current monthly revenue: ${{revenue}}
- Current review score: {{score}}★

GENERATE COMPLETE AIRBNB REVENUE MAXIMIZER REPORT:

1. Market intelligence:
   - Your position vs market (percentile)
   - Top 10% earner revenue range
   - Primary gap: pricing or occupancy or listing quality?
   - $ left on table per month at current strategy

2. Competitive pricing analysis:
   - Market average weeknight, weekend, peak
   - Your rate vs market (% difference)
   - Your estimated revenue at market rates (same occupancy)

3. Demand surge calendar (12 months):
   - Events with dates, recommended rates, booking lead time
   - Low season strategy with specific tactics from top hosts

4. Listing SEO audit:
   - Current title issues (specific)
   - Optimized title (under 50 chars, keyword-rich)
   - Description issues + keywords missing

5. Fully optimized listing:
   - New title
   - New description (sensory + experiential, not feature-based, 400-500 words)
   - House rules (warm, not intimidating)

6. Monthly pricing calendar (12 months):
   - Weeknight rate + weekend rate per month
   - Event surge prices
   - Annual revenue projection

7. 60-second showcase video script:
   - Open with location fantasy, not room specs
   - Sell the experience, not the square footage
   - Close with urgency CTA

LISTING COPY RULES:
- Lead with the feeling, not the features
- Sensory language (sounds, smells, light) = 2x more saves
- "You" not "guests" — make it personal
- Local neighbourhood context = top differentiation signal

OUTPUT: Valid JSON only. No markdown. No preamble.

💰 Cost Estimate

RunApify CostInVideo CostTotalRevenue Impact
Full property audit~$0.60~$3~$3.60+$500–$2,000/month
5 properties (manager)~$3~$15~$18+$2,500–$10,000/month
Quarterly refresh~$0.60~$3~$3.60Stay competitive year-round
💡 Start free on Apify — $5 credits included 🎬 Produce your property video with InVideo AI

🔗 Revenue Opportunities

UserHowRevenue
Airbnb HostOptimize pricing + listing = 40% more revenue+$500–$2,000/month per property
Property ManagerOptimize 10 properties at scale+$5,000–$20,000/month portfolio
STR InvestorDue diligence before buying — model realistic revenueBetter acquisition decisions
Airbnb ConsultantSell optimization audits to hosts$300–$1,000 per audit
Real Estate AgentAdd STR revenue potential to property listingsDifferentiated service

📊 Why This Beats Every Alternative

FeatureAirDNA ($39/mo)Manual ResearchAI Airbnb Revenue Maximizer
Market pricing analysis✅❌✅
Dynamic pricing calendar❌❌✅
Listing SEO rewrite❌❌✅
Event demand calendar❌❌✅
Property showcase video❌❌✅
Revenue projectionPartial❌✅
Cost$39/monthHours~$3.60/run

🚀 Setup in 3 Steps

Step 1 — Get your Apify API Token Go to: Settings → Integrations → API Token

Step 2 — Get your InVideo AI account Go to: Settings → API → Copy your key

Step 3 — Input your property & run Location + property type + current performance. Full optimization report in minutes.


⚡ Pro Tips

  • Weekend premium is the #1 missed revenue — most hosts charge flat rate, top hosts charge 40-50% more Fri-Sat
  • Web Summit / major conferences = 3x your rate — build the event calendar before the year starts
  • Listing title with location keyword outranks generic titles 3:1 in Airbnb search
  • Property video = 2x conversion — browsers who watch a video book at twice the rate
  • Digital nomad discounts in January fill low season — 7-night minimum at 20% off = better than empty

*Powered by Apify + InVideo AI + Claude AI*

平台分布

OpenClaw

84.62%
按下载量换算949

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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