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TheTesseractAI
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apartment-finder

Search rental listings across Zillow, Apartments.com, Redfin, and Craigslist.

Updated Apr 14, 2026
Search Tags:#web scraping#scam detection#map visualization#apartment#neighborhood analysis#rental search#listing evaluation
One-click install
npx skills add https://github.com/TheTesseractAI/19 --skill apartment-finder-thetesseractai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: apartment-finder
Source: https://github.com/TheTesseractAI/19/tree/main/.local/secondary_skills/apartment-finder
Command: npx skills add https://github.com/TheTesseractAI/19 --skill apartment-finder-thetesseractai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of discovering rental apartments by searching, evaluating, and comparing listings across multiple platforms.

Core Features & Use Cases

  • Multi-site Search: Performs parallel searches on Zillow, Apartments.com, Redfin, and Craigslist based on user-specified criteria like location, price, and preferences.
  • Listing Extraction: Fetches detailed information such as address, rent, unit features, and direct links to verify and compare options.
  • Scam Detection: Analyzes listings for red flags like suspiciously low prices, unverifiable landlords, or stolen images, warning users before they proceed.
  • Neighborhood Analysis: Provides insights into crime rates, transit scores, noise levels, and safety via web data, aiding in informed decision-making.
  • Web Map Visualization: Builds an interactive map displaying listings with color-coded markers indicating value tiers.

Quick Start

Ask the AI to find and evaluate rental apartments in your desired city and budget, specifying your preferences for bedrooms, pet policies, and special features.

Frequently Asked Questions about apartment-finder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search for rental apartments across multiple platforms like Zillow and Redfin at once?▼

To search for rental apartments across multiple platforms, this Skill performs parallel web scraping on Zillow, Apartments.com, Redfin, and Craigslist. It automatically extracts listing details like rent, address, and unit features based on your specified location and budget criteria.

How does rental scam detection work on apartment listings?▼

Rental scam detection works by analyzing apartment listings for red flags such as suspiciously low prices, unverifiable landlords, or stolen images. The Skill warns users about potential rental scams before they proceed with contacting landlords.

Can I get neighborhood analysis data like crime rates and transit scores for an apartment listing?▼

Yes, you can get neighborhood analysis data for an apartment listing. The Skill gathers web data to provide insights into crime rates, transit scores, noise levels, and safety, helping you make informed rental decisions about the area.

What is the best way to visualize and compare apartment listings on a map?▼

The best way to visualize and compare apartment listings is through the Skill's interactive web map visualization. It displays listings using color-coded markers that indicate different value tiers, allowing you to easily compare rental options geographically.

Does apartment web scraping work for finding pet-friendly rentals with specific bedroom preferences?▼

Yes, apartment web scraping works for finding pet-friendly rentals with specific bedroom preferences. You simply ask the AI to find and evaluate rental apartments by specifying your desired city, budget, bedroom count, pet policies, and special features.

What are the limitations of using automated listing evaluation for an apartment search?▼

A limitation of automated listing evaluation is its reliance on accessible web data for scam detection and neighborhood analysis. Users must still independently verify landlord identities and unit availability, as extracted listing data may lag behind real-time platform updates.

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