← Back to Skills Marketplace
nicemaths123

Real Estate Leads

by nicemaths123 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
124
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install real-estate-leads
Description
Scrape fresh property listings by location, identify motivated sellers with contact info, score opportunities, and generate personalized buyer outreach messa...
Usage Guidance
Before installing or running this skill: (1) Confirm how API keys will be provided — the SKILL.md expects an Apify token and a model API key (Claude/Anthropic) but the registry lists none; avoid entering long-lived credentials without knowing where they are stored. (2) Verify who runs the Apify actors and whether those specific actor IDs are trustworthy; actor code and endpoints run outside your environment. (3) Review legal and privacy implications: the skill scrapes personal contact data and generates outreach — ensure compliance with site terms of service, anti-scraping laws, and data-protection rules (e.g., GDPR, telemarketing laws) before contacting people. (4) Ask the publisher to declare required env vars and explain data retention/storage: where do scraped leads go, who can access them, and are they transmitted to third-party servers? (5) Prefer ephemeral tokens and least-privilege credentials; monitor requests and billing for third-party services. (6) If you need higher assurance, request the full implementation (actor definitions, outbound endpoints) or run equivalent scraping/enrichment under your own controlled account rather than delegating credentials to an unknown skill.
Capability Analysis
Type: OpenClaw Skill Name: real-estate-leads Version: 1.0.0 The skill bundle is a legitimate lead generation tool for real estate professionals, designed to automate property scraping and outreach via the Apify platform. It functions as a set of instructions for an AI agent to orchestrate various third-party Apify actors (e.g., Zillow and Rightmove scrapers) and generate personalized messages. While it requires an Apify API token and contains affiliate links, these are transparently used for the stated functionality and monetization, with no evidence of data exfiltration, malicious execution, or prompt injection attacks.
Capability Assessment
Purpose & Capability
The SKILL.md explicitly relies on Apify actors (requires an Apify token) and an external model ('Claude AI') to generate outreach, which are coherent with the described lead-generation purpose — however the registry metadata declares no required environment variables or primary credential. The absence of declared credentials (Apify token, model API key) is an inconsistency: legitimate operation would need at least those credentials.
Instruction Scope
Instructions direct scraping major property portals and cross-referencing Google to extract owner/agent contact details (names, emails, phone numbers) and to generate outreach messages. The workflow does not instruct reading local files or env vars beyond an input JSON, but it does instruct collecting personal contact data and sending data to external services (Apify, Claude). The SKILL.md sample includes an apify_token field inside input despite no declared env vars — this diverges from the metadata and expands the skill's runtime scope in ways the registry doesn't reflect.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is written to disk by an installer in the package itself.
Credentials
Registry declares no required env vars or primary credential, but the SKILL.md requires an Apify token (sample input) and implicitly requires access to a Claude/Anthropic API key or equivalent to generate outreach. Those missing declarations are disproportionate to what the metadata communicates and hide required credentials. Additionally, the skill requests collection of potentially sensitive personal contact data (phone numbers, emails) which increases the sensitivity of required secrets/access and data-handling requirements.
Persistence & Privilege
Skill is not always-enabled and is user-invocable; it does not request persistent platform privileges in the registry. There is no install script that changes other skills or system-wide settings visible in the package.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install real-estate-leads
  3. After installation, invoke the skill by name or use /real-estate-leads
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Real Estate Lead Machine. - Automates scraping of new and motivated property listings from major portals (Zillow, Rightmove, etc.) with owner/agent contact extraction. - Ranks leads by motivation level, opportunity score, and market analysis. - Generates AI-personalized outreach (email/SMS/follow-ups) for each lead. - Delivers a unified, ranked lead list with contact data and outreach messages, exportable in CSV/JSON. - Designed for agents, investors, and property sourcers to contact sellers before competitors.
Metadata
Slug real-estate-leads
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Real Estate Leads?

Scrape fresh property listings by location, identify motivated sellers with contact info, score opportunities, and generate personalized buyer outreach messa... It is an AI Agent Skill for Claude Code / OpenClaw, with 124 downloads so far.

How do I install Real Estate Leads?

Run "/install real-estate-leads" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Real Estate Leads free?

Yes, Real Estate Leads is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Real Estate Leads support?

Real Estate Leads is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Real Estate Leads?

It is built and maintained by nicemaths123 (@nicemaths123); the current version is v1.0.0.

💬 Comments