Real Estate Lead Finder

Automates finding motivated property sellers with owner contacts, market data, AI scoring, and personalized outreach for faster real estate lead generation.

Security Scan

The skill's runtime instructions clearly require external service credentials (Apify and likely an LLM API) and perform large-scale scraping of personal contact data, but the registry metadata declares no required environment variables or credentials — this mismatch and the privacy/exfiltration risk warrant caution.

Purpose & Capability

The skill's claimed purpose (scrape listings, enrich data, and generate outreach) matches the SKILL.md content. However, the SKILL.md expects an Apify token (example input includes apify_token) and references using Apify actors and 'Claude AI' — yet the registry metadata lists no required environment variables or primary credential. Not declaring the Apify token and any LLM/API keys is an incoherence: someone building this skill would legitimately need those credentials.

Instruction Scope

The instructions direct the agent to scrape multiple third‑party portals, cross‑reference Google, extract owner/agent contact details (PII), compute scores, and generate outreach messages. Those actions are within the stated purpose but involve collecting and transmitting personal contact data to external services (Apify actors and an LLM). The SKILL.md does not specify how scraped PII is handled, stored, or where it is transmitted, which is a privacy and data‑handling concern.

Install Mechanism

This is an instruction‑only skill with no install spec and no code files, so nothing will be written to disk by an installer. That lowers mechanical risk; however, runtime use relies on external services (Apify actors) which run remote code.

Credentials

The skill requests no environment variables in the registry, but the SKILL.md's sample input explicitly includes "apify_token": "YOUR_APIFY_TOKEN" and the workflow references 'Claude AI' (implying an LLM credential or platform model). Not declaring these credentials is a mismatch. Requiring an Apify token (and possibly an LLM API key) is proportionate to the task, but the absence in metadata is an omission that hides what secrets the skill will need at runtime.

Persistence & Privilege

always is false and model invocation is allowed (default). There is no claim the skill will persist or modify other skills or system settings. Autonomous invocation is normal for skills and not by itself a concern here.

What to consider before installing

Key things to check before installing or running this skill: - Credentials: The SKILL.md expects an Apify token (and likely an LLM/API key) but the skill metadata declares no required environment variables. Ask the publisher which credentials are actually required and how you should provide them (and whether they will be stored). Do NOT paste secrets into freeform inputs without knowing where they are stored. - Data flow and privacy: The workflow scrapes personal contact information (emails, phone numbers). Confirm where scraped data is sent/stored (your account vs. the publisher's servers vs. Apify). If you operate in jurisdictions with privacy laws (GDPR, CCPA), ensure the workflow complies and you have legal basis for contacting harvested contacts. - Third‑party actors: The skill relies on named Apify actors. Verify you'll be running those actors under your own Apify account (so you control the data and billing) rather than the publisher running them under their account. Ask for the exact actor IDs and confirm they are official/trusted actors. - LLM usage and PII: The skill will generate outreach via an LLM ('Claude AI'). Confirm whether PII is sent to a third‑party LLM and review the model/contract for data retention and logging. - Operational safety: Scraping major portals can trigger rate limits, CAPTCHAs, or violate terms of service. Understand the legal and reliability implications. If you are uncomfortable, disable autonomous invocation for this skill or run it only in a controlled/sandboxed environment. - Publisher provenance: The source and homepage are unknown. Prefer skills from identifiable authors and with clear documentation. Ask the publisher for provenance, privacy policy, and a minimal list of required environment variables before proceeding.

🏠 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.

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💥 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

Actor	ID	Purpose
Zillow Scraper	maxcopell/zillow-scraper	US listings — price, days on market, details
Rightmove Scraper	dhrumil/rightmove-scraper	UK property listings & seller data
LeBonCoin Scraper	misceres/leboncoin-scraper	French FSBO listings
Google Maps Scraper	compass/crawler-google-places	Estate agents, landlords, property managers
Google Search Scraper	apify/google-search-scraper	Owner 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": "[phone]",
        "agent_email": "[e-mail]"
      },
      "outreach": {
        "email_subject": "14 Elmwood Gardens — cash buyer, quick completion possible",
        "email_body": "Dear Morrison & Fox team,\n\nI'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.\n\nI can complete in 4–6 weeks without a chain.\n\nWould the seller consider a viewing this week?\n\nBest regards,\n[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

Leads	Apify CU	Cost	Properties 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/month	Fresh leads every morning

💡 $5 free Apify credits on signup = your first 250 properties analyzed for free.
👉 https://www.apify.com?fpr=dx06p

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🔗 Who Makes Money With This Skill

User	How They Use It	Revenue Potential
Property Investor	Find motivated sellers before competitors	Deals at 10–15% below market
Estate Agent	Generate off-market leads for buyers	£3K–£15K commission per deal
Real Estate Wholesaler	Build motivated seller lists at scale	£5K–$20K per assigned contract
Mortgage Broker	Target homeowners likely to refinance	£500–£2K per referral
Property Sourcer	Sell sourced deals to investors at a fee	£2K–£5K per deal sourced

---

📊 Why This Beats Manual Research

Feature	Manual Research	Real Estate Lead Machine
Time to find 50 leads	8–12 hours	Under 5 minutes
Motivated seller detection	Guesswork	Automated signal scoring
Market value comparison	Manual comps	Auto-generated
Contact details found	Sometimes	Always attempted
Outreach messages	Write from scratch	AI-generated per property
Daily refresh	Never happens	Fully automated

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🚀 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.

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⚡ 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

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🏷️ Tags

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

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Powered by Apify + Claude AI