Zillow Agent Reviews & Reputation Scraper

Pricing

Pay per usage

Zillow Agent Reviews & Reputation Scraper

Monitor agent reputation and gather client feedback with the Zillow Agent Reviews & Reputation actor. This tool is designed to systematically harvest reviews and ratings from Zillow agent profiles, giving you direct access to the "voice of the customer

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Property API

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

🌟 Zillow Agent Reviews & Reputation

💬 Introduction

Monitor agent reputation and gather client feedback with the Zillow Agent Reviews & Reputation actor. This tool is designed to systematically harvest reviews and ratings from Zillow agent profiles, giving you direct access to the "voice of the customer".

Whether you are performing sentiment analysis, vetting potential hires, or aggregating testimonials, this actor provides the raw data needed to quantify trust and service quality.

Note: Configured for the agentReviews data scope.

🚀 Key Features

Review Extraction: Scrape full review text, star ratings, and publication dates.
Reviewer Insights: Capture reviewer names and their reported locations to verify feedback authenticity.
Pagination Support: Iterate through review history to build a complete longitudinal view of an agent's reputation.

⚙️ Configuration

Simply specify the agent's ID and the page of reviews to fetch.

Input Parameters

Parameter	Type	Necessity	Description
`zuid`	String	Required	The Zillow Agent Profile ID (e.g., `X1-ZUytn1phpg9b7t_5i26a`).
`page_number`	Integer	Required	The page number of reviews to retrieve (start at `1`).

📥 Input Example

{
  "zuid": "X1-ZUytn1phpg9b7t_5i26a",
  "page_number": 1
}

📤 Sample Output

The output provides a structured feed of client testimonials.

{
  "status": "success",
  "page_number": 1,
  "agent_id": "X1-ZUytn1phpg9b7t_5i26a",
  "results": [
    {
      "reviewer_name": "Michael Green",
      "rating": 5,
      "date": "2023-08-10",
      "review_text": "Amazing experience working with this agent! They knew the market inside and out.",
      "location": "Los Angeles, CA"
    }
  ]
}

💡 Best Practices

Sentiment Analysis: Feed the review_text into NLP models to automatically gauge positive vs. negative sentiment trends.
Competitor Benchmarking: Compare average star ratings and review volume against key competitors in the same market.

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