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Agent Skill · 研究检索

real-estate-leads(房地产线索)

real-estate-leads 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

real-estate-leads 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 26,393。

总安装 3,575周安装 152GitHub Stars 公开资料未说明下载 1,252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:real-estate-leads(房地产线索)
来源仓库:https://github.com/nicemaths123/real-estate-leads
安装命令:
openclaw skills install real-estate-leads
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 real-estate-leads

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。

自动化抓取房产列表并识别潜在卖家,生成个性化买家推广信息。适用于拓展房源渠道、提升成交率及优化客户关系管理。real-estate-leads 属于研究检索类 Skill,可作为该场景下的辅助能力补充。按地理位置筛选目标房源,结合联系方式判断卖方意向强度。可能涉及网页爬取,使用前需检查目标平台的服务条款合规性。

输出联系人信息时应遵守隐私保护规定,禁止滥用商业用途。

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 real-estate-leads;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

    它需要需要联网,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

real-estate-leads 怎么安装?

在终端执行 openclaw skills install real-estate-leads。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

real-estate-leads 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。

real-estate-leads 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

real-estate-leads 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。

real-estate-leads 用的人多吗?

公开数据是累计安装 3,575 次,近一周安装 152 次,下载 1,252 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。

real-estate-leads 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
real-estate-leads

房地产线索 · 本页

3,575—需要联网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

🏠 Real Estate Lead Machine — Scrape & Contact Property Sellers Before Anyone Else

Slug: real-estate-lead-machine Category: Real Estate / Lead Generation Powered by: Apify + Claude AI

Input a target location. Get a ranked list of motivated property sellers — scraped from Zillow, Rightmove, and major portals — with owner contact details, market analysis, opportunity scores, and AI-generated outreach messages. Be first. Win the deal.

💥 Why Every Real Estate Pro Will Want This Skill

Real estate is a race. The agent or investor who contacts a motivated seller first wins the deal. Most pros spend hours manually browsing listings, copy-pasting into spreadsheets, then writing the same email 50 times.

This skill makes you the fastest player in every market you target.

What gets automated:

  • 🏡 Scrape fresh listings daily from major property portals
  • ⏰ Detect motivated sellers — price reductions, long days-on-market, distressed signals
  • 👤 Find owner & agent contact details — name, email, phone
  • 📊 Enrich each property with market comps & estimated value
  • 🎯 AI opportunity score (0–100) per property
  • 📬 Generate personalized outreach — email + SMS + follow-up sequence
  • 🗺️ Deliver leads ranked by motivation level — Hot / Warm / New

🛠️ Apify Actors Used

ActorIDPurpose
Zillow Scrapermaxcopell/zillow-scraperUS listings — price, days on market, details
Rightmove Scraperdhrumil/rightmove-scraperUK property listings & seller data
LeBonCoin Scrapermisceres/leboncoin-scraperFrench FSBO listings
Google Maps Scrapercompass/crawler-google-placesEstate agents, landlords, property managers
Google Search Scraperapify/google-search-scraperOwner details, public records, contact info

⚙️ Full Workflow

INPUT: Target location + property type + price range + seller signals
        ↓
STEP 1 — Scrape Fresh Listings (Daily Run)
  └─ New listings posted in last 24–72 hours
  └─ Price reductions → motivated seller signal #1
  └─ Long days-on-market → motivated seller signal #2
        ↓
STEP 2 — Detect Motivated Seller Signals
  └─ 🔴 HOT: Price dropped 2+ times + 60+ days on market
  └─ 🟡 WARM: Price dropped once + 30+ days on market
  └─ 🟢 NEW: Fresh listing under 48 hours old
        ↓
STEP 3 — Property Data Enrichment
  └─ Sqft, bedrooms, year built, last sale price
  └─ Estimated current market value via comps
  └─ Neighborhood stats — avg price/sqft, avg days-on-market
        ↓
STEP 4 — Owner & Agent Contact Extraction
  └─ Agent name, phone, email (from listing)
  └─ FSBO — direct seller contact where available
  └─ Cross-reference Google for additional contact details
        ↓
STEP 5 — AI Opportunity Scoring (0–100)
  └─ Motivated signals + price vs market + location desirability
        ↓
STEP 6 — Claude AI Generates Personalized Outreach
  └─ Email referencing exact property + seller situation
  └─ SMS-length message for direct contact
  └─ Day 3 + Day 7 follow-up sequence
        ↓
OUTPUT: Ranked lead list + property data + outreach messages (CSV / JSON)

📥 Inputs

{
  "target_zones": ["London Zone 2-4", "Manchester City Centre"],
  "property_type": ["flat", "terraced house"],
  "price_range": { "min": 150000, "max": 450000 },
  "motivated_signals": {
    "min_days_on_market": 30,
    "price_reduction": true,
    "fsbo_priority": true
  },
  "buyer_profile": {
    "type": "investor",
    "strategy": "buy-to-let",
    "completion_time": "4-6 weeks",
    "is_cash_buyer": true
  },
  "max_leads": 50,
  "apify_token": "YOUR_APIFY_TOKEN"
}

📤 Output Example

{
  "search_summary": {
    "location": "London Zone 2-4",
    "properties_scraped": 284,
    "hot_leads": 8,
    "warm_leads": 23,
    "new_listings": 41,
    "run_date": "2025-03-01"
  },
  "top_leads": [
    {
      "rank": 1,
      "opportunity_score": 94,
      "signal": "🔴 HOT — Price reduced 3x, 87 days on market",
      "property": {
        "address": "14 Elmwood Gardens, London E3 4NR",
        "type": "2-bed flat",
        "listing_price": "£285,000",
        "original_price": "£325,000",
        "price_reduction": "-£40,000 (-12.3%)",
        "days_on_market": 87,
        "sqft": 720,
        "portal_url": "rightmove.co.uk/property/123456"
      },
      "market_analysis": {
        "estimated_market_value": "£295,000",
        "vs_listing": "Priced 3.4% BELOW market",
        "area_avg_days_on_market": 32,
        "verdict": "87 days vs 32-day area average = strong motivation signal"
      },
      "seller_contact": {
        "agent": "Morrison & Fox Estate Agents",
        "agent_phone": "+44 20 7946 0321",
        "agent_email": "sales@morrisonfox.co.uk"
      },
      "outreach": {
        "email_subject": "14 Elmwood Gardens — cash buyer, quick completion possible",
        "email_body": "Dear Morrison & Fox team,\
\
I'm a cash buyer actively looking in E3 and came across 14 Elmwood Gardens. I'd be interested in viewing and potentially moving quickly if the seller is open to a competitive offer.\
\
I can complete in 4–6 weeks without a chain.\
\
Would the seller consider a viewing this week?\
\
Best regards,\
[Your name]",
        "sms_message": "Hi, cash buyer interested in 14 Elmwood Gardens. Can move fast, no chain. Worth a chat? [Your name]",
        "followup_day3": "Just following up re: Elmwood Gardens — still very interested if the seller would like to discuss.",
        "followup_day7": "Final follow-up on 14 Elmwood Gardens. Happy to arrange a call at your convenience."
      }
    }
  ],
  "market_snapshot": {
    "avg_days_on_market": "32 days (London E3)",
    "price_trend_90d": "📉 -2.3% — buyer's market, motivated sellers increasing",
    "best_opportunity_streets": ["Elmwood Gardens", "Victoria Park Road", "Approach Road"]
  }
}

🧠 Claude AI Outreach Prompt

You are an expert real estate investor and negotiator.

PROPERTY DATA:
- Address: {{address}}
- Listing price: {{price}} (original: {{original_price}})
- Days on market: {{days_on_market}} (area avg: {{area_avg_dom}})
- Price reductions: {{price_reductions}}x
- Market value estimate: {{market_value}}
- Seller type: {{seller_type}}

BUYER PROFILE:
- Type: {{buyer_type}}
- Cash buyer: {{is_cash_buyer}}
- Can complete in: {{completion_time}}

GENERATE:
1. Email to agent/seller — professional, specific, references the exact 
   property and your ability to move fast. Max 100 words. Clear CTA.
2. SMS (max 160 chars) for direct seller contact
3. Day 3 follow-up (2 lines, different angle)
4. Day 7 final follow-up (1 line, keeps door open)

TONE: Professional, credible, cash-buyer confidence.
Never mention you know they're desperate.
OUTPUT: Valid JSON only. No markdown. No preamble.

💰 Cost Estimate

LeadsApify CUCostProperties Analyzed
50 leads~60 CU~$0.60~300 properties
200 leads~220 CU~$2.20~1,000 properties
500 leads~540 CU~$5.40~2,500 properties
Daily auto-run~60 CU/day~$18/monthFresh leads every morning
💡 $5 free Apify credits on signup = your first 250 properties analyzed for free. 👉 https://www.apify.com?fpr=dx06p

🔗 Who Makes Money With This Skill

UserHow They Use ItRevenue Potential
Property InvestorFind motivated sellers before competitorsDeals at 10–15% below market
Estate AgentGenerate off-market leads for buyers£3K–£15K commission per deal
Real Estate WholesalerBuild motivated seller lists at scale£5K–$20K per assigned contract
Mortgage BrokerTarget homeowners likely to refinance£500–£2K per referral
Property SourcerSell sourced deals to investors at a fee£2K–£5K per deal sourced

📊 Why This Beats Manual Research

FeatureManual ResearchReal Estate Lead Machine
Time to find 50 leads8–12 hoursUnder 5 minutes
Motivated seller detectionGuessworkAutomated signal scoring
Market value comparisonManual compsAuto-generated
Contact details foundSometimesAlways attempted
Outreach messagesWrite from scratchAI-generated per property
Daily refreshNever happensFully automated

🚀 Setup in 3 Steps

Step 1 — Get your Apify API Token Sign up free → https://www.apify.com?fpr=dx06p Go to: Settings → Integrations → API Token

Step 2 — Define your target zone & buyer profile Location, property type, price range, investment strategy.

Step 3 — Run daily for fresh motivated leads every morning Set it on a schedule — wake up to a ranked list of leads every day.


⚡ Pro Tips to Close More Deals

  • Contact HOT leads within 2 hours — speed is your #1 advantage
  • Always mention chain-free & fast completion — that's what motivated sellers want to hear
  • Run the scraper daily at 6AM — new listings drop overnight, be first to reach out
  • Focus on FSBO (For Sale By Owner) — no agent = no competition, direct seller contact
  • Price reductions 3x+ = desperation signal — these sellers will negotiate hard

🏷️ Tags

real-estate property lead-generation motivated-sellers zillow rightmove apify investor estate-agent off-market property-sourcing outreach


*Powered by Apify + Claude AI*

平台分布

OpenClaw

85.29%
按下载量换算1,068

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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