Zillow Agent Reviews Scraper avatar

Zillow Agent Reviews Scraper

Pricing

from $1.40 / 1,000 reviews

Go to Apify Store
Zillow Agent Reviews Scraper

Zillow Agent Reviews Scraper

Scrape all reviews of any real estate agent on Zillow: rating (1-5), text, date, reviewer and reply. Export to JSON, CSV or Excel.

Pricing

from $1.40 / 1,000 reviews

Rating

0.0

(0)

Developer

Carabain Digital

Carabain Digital

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

Share

What is Zillow Reviews Scraper?

Zillow Reviews Scraper extracts all reviews of any real estate agent on Zillow: star rating, review text, date, reviewer name and the real estate agent's reply. Paste a Zillow URL, click Start, and download the reviews as JSON, CSV, Excel, XML or HTML.

Zillow is the largest real estate marketplace in the US, with client reviews of agents and teams. With this scraper you can:

  • ⭐ Scrape every review of a real estate agent, or only the newest ones
  • 💬 Get the review text and the real estate agent's reply
  • 📅 Fetch only new reviews since a given date, ideal for daily monitoring
  • ⚡ Run fast and cheap: no browser and no proxy needed
  • 🔌 Connect the data to Google Sheets, Slack, Make, Zapier or your own app via the API

What data can I extract from Zillow?

⭐ Star rating (1-5)💬 Review text
👤 Reviewer name📅 Publication date
↩️ Reply🆔 Stable review ID
📝 Review title (if any)🔗 Source URL

Why scrape Zillow reviews?

  • 🏡 Agents and brokerages: monitor client reviews for every agent
  • 📈 Real estate marketing: use reviews on your website or in reports
  • 🔍 Recruiting and research: compare agents by market
  • 🤖 Sentiment analysis and AI: feed real customer feedback into your own analysis or LLM pipeline.

How do I use Zillow Reviews Scraper?

  1. Create a free Apify account.
  2. Open the real estate agent on Zillow and copy the URL of its agent or team profile (/profile/...), for example https://www.zillow.com/profile/BariLevineBruszer.
  3. Paste it into the Zillow real estate agent URL field.
  4. Optionally set Max reviews, or Only reviews after to fetch only reviews since a given date.
  5. Click Start and wait for the run to finish.
  6. Download your data from the Output tab in JSON, CSV, Excel, XML or HTML.

How much does scraping Zillow cost?

You pay per review that ends up in your dataset: $2.00 per 1,000 reviews. No subscription, no rental fee. The monthly credits in Apify's free plan cover a couple of thousand reviews.

💡 Tip: for monitoring, schedule a daily run with Only reviews after set to the date of your last run. You only pay for new reviews.

You can set a maximum cost per run in the run options; the scraper stops when it is reached.

⬇️ Input

The only required field is the real estate agent URL. See the Input tab for all options.

FieldDescription
Zillow real estate agent URL (url)The agent or team profile (/profile/...) on Zillow
Max reviews (limit)Stop after this many reviews, newest first. Empty = all reviews
Only reviews after (cutoff_date)Skip reviews published before this date
Proxy (proxyConfiguration)Not needed for Zillow. Only enable it if your runs get blocked
{
"url": "https://www.zillow.com/profile/BariLevineBruszer",
"limit": 100,
"cutoff_date": "2026-01-01"
}

⬆️ Output sample

Each review is one item in the dataset. View it as a table in the Output tab or download it in JSON, CSV, Excel, XML or HTML.

📘 Scraped Zillow review sample (illustrative)

{
"id": "123456789",
"author": "Jessica M.",
"rating": 5,
"title": null,
"text": "Great experience from start to finish, would recommend!",
"published_at": "2026-09-14T00:00:00+00:00",
"reply": "Thank you so much, Jessica!",
"replied_at": null,
"source_url": "https://www.zillow.com/profile/BariLevineBruszer"
}
FieldDescription
idZillow's review ID; stable across runs, so you can deduplicate on it
ratingStar rating (1-5), or null if the review has no score
titleReview title, or null when Zillow has none
textReview text
published_atPublication date in ISO 8601 (UTC)
replyThe real estate agent's public reply, or null
replied_atReply date, or null when Zillow doesn't publish it
source_urlThe Zillow URL you scraped

All our review scrapers use this same format, so you can combine datasets from different sites directly. See for example our Kiyoh Reviews Scraper.

🔌 Integrations

Connect Zillow Reviews Scraper to almost any cloud service or web app with Apify integrations: Make, Zapier, Slack, Google Sheets, Google Drive, Airbyte, GitHub and more. Or use webhooks to trigger an action when a run finishes, for example to post new reviews to Slack.

💻 Using Zillow Reviews Scraper with the Apify API

The Apify API lets you start runs, schedule them and fetch results from your own code. Use the Python or JavaScript client, or call the scraper from AI agents through the Apify MCP server. The API tab has ready-to-use code.

❓ FAQ

Can I scrape multiple real estate agents at once?

Run the scraper once per real estate agent. To monitor several, create a task per real estate agent and schedule them, or start runs from the API.

Do I need a Zillow account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape Zillow?

No. Zillow works without a proxy, which keeps runs fast and cheap. If your runs ever get blocked, enable Apify Proxy in the Proxy field; the scraper then retries once on a fresh IP automatically.

My run failed. What now?

Check the status message of the run. "Invalid input" or "not found" means the URL doesn't point to a Zillow real estate agent page: open it in your browser and copy it again. "Blocked" means Zillow refused the request; run it again, and keep the proxy on.

This scraper only collects publicly visible reviews. Reviews can contain personal data, such as reviewer names, which is protected by the GDPR in the EU and by other regulations elsewhere. Only scrape and store personal data when you have a legitimate reason, and consult your lawyer if you are unsure. Read more in Apify's post on the legality of web scraping.

Your feedback

Found a bug or missing a field? Open an issue in the Issues tab and we'll look into it.