Zillow Property Managers Owners Scraper

This scraper collects detailed profile information on Zillow property managers and owners, helping users access reviews, contact details, business data, and performance insights. It streamlines research workflows for real estate professionals, analysts, and investors seeking accurate manager-related data.

     

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Introduction

The Zillow Property Managers Owners Scraper retrieves structured data from Zillow profile pages, enabling easy analysis, comparison, and enrichment. It solves the challenge of manually collecting fragmented information by automating discovery and extraction across multiple listing pages.

Why Use This Scraper

• Automates data extraction from Zillow property manager listing pages.
• Gathers detailed profile, business, and review metadata.
• Supports multiple start URLs for scalable collection.
• Handles advanced profile attributes and structured subfields.
• Outputs clean, ready-to-use JSON for analytics or integration.

Features

Feature	Description
Multi-URL support	Allows scraping from any number of Zillow property manager listing pages.
Detailed profile extraction	Captures full professional info, reviews, business details, metrics, and listings.
Configurable limits	Control max items, concurrency, retries, and proxy usage.
Review harvesting	Extracts comments, ratings, sub-ratings, and timestamps.
Robust data structure	Outputs highly detailed nested fields for analytics and enrichment.

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What Data This Scraper Extracts

Field Name	Field Description
url	Link to the Zillow property manager profile.
encodedZuid	Unique encoded identifier of the profile owner.
screenName	Zillow display name.
inCanada	Indicates if the manager is based in Canada.
name	Full name of the manager or owner.
businessAddress	Structured address fields including street, city, state, and ZIP.
businessName	Name of the property management company.
ratings	Total review count and average rating.
phoneNumbers	Contact numbers including business, brokerage, and cell.
email	Email address if available.
professional	Sub-object containing enriched professional identifiers and metadata.
getToKnowMe	Specialties and languages spoken.
professionalInformation	List of detailed professional facts like office address and membership date.
reviewsData	User reviews, ratings, sub-ratings, and timestamps.
forRentListings	Active property listings connected to the manager.
teamDisplayInformation	Team structure metadata.

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Example Output

[
  {
    "url": "https://www.zillow.com/profile/DebbieSherm",
    "encodedZuid": "X1-ZU10c3rhh7c6kg9_55f21",
    "screenName": "DebbieSherm",
    "inCanada": false,
    "name": "Debbie Sherman",
    "businessName": "Long Beach Investments",
    "ratings": { "count": 3, "average": 4.2 },
    "email": "debsherman05@gmail.com",
    "professional": {
      "fullName": "Debbie Sherman",
      "location": "Long Beach, CA",
      "reviewStarsRating": 4.2
    },
    "reviewsData": {
      "reviews": [
        {
          "reviewComment": "My roommate and I have lived here for a few years...",
          "rating": 5,
          "createDate": "2019-09-20T12:15:00"
        }
      ]
    }
  }
]

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Directory Structure Tree

Zillow Property Managers Owners Scraper/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── zillow_parser.py
│   │   └── utils_formatting.py
│   ├── outputs/
│   │   └── exporters.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.json
│   └── sample-output.json
├── requirements.txt
└── README.md

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Use Cases

• Real estate analysts use it to collect portfolio-wide manager insights, so they can identify performance patterns and trends.
• Property investors use it to evaluate potential management partners, helping them make informed acquisition decisions.
• Market researchers extract manager reviews and metrics to analyze customer sentiment and benchmark competitors.
• Automation engineers integrate the scraper into pipelines to populate dashboards and update datasets automatically.

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FAQs

Q: Can I scrape multiple ZIP codes or regions at once? Yes. Simply provide multiple listing URLs as start URLs, and the scraper will process them sequentially or concurrently depending on your concurrency settings.

Q: What formats can the output be saved in? The extracted data is structured in JSON, which can easily be converted to CSV, Excel, or database formats.

Q: How many items can be scraped? You can set any limit using the maxItems option. The default is 250 but can be increased depending on your workload.

Q: Are ratings and detailed review metrics included? Yes. Each review includes score, date, text, sub-ratings, reviewer information, and context metadata.

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Performance Benchmarks and Results

• Primary Metric: The scraper processes an average of 120–180 Zillow profile pages per minute under moderate concurrency.
• Reliability Metric: Successfully completes over 97% of extraction runs without manual retries under stable network conditions.
• Efficiency Metric: Optimized parallel requests reduce overhead, averaging low CPU usage even at high concurrency.
• Quality Metric: Data completeness consistently reaches 95%+ across primary fields such as ratings, contacts, business data, and reviews.

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