Healthgrades Reviews Scraper

What is Healthgrades Reviews Scraper?

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

Healthgrades is one of the biggest doctor and hospital review sites in the US, with patient ratings for millions of providers. With this scraper you can:

• ⭐ Scrape every review of a doctor, or only the newest ones
• 💬 Get the review text and the doctor's reply
• 📅 Fetch only new reviews since a given date, ideal for daily monitoring
• 🛡️ Get past blocks: a US residential proxy is included in the price
• 🔌 Connect the data to Google Sheets, Slack, Make, Zapier or your own app via the API

What data can I extract from Healthgrades?

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

Why scrape Healthgrades reviews?

• 🩺 Practices and health systems: monitor patient feedback per provider
• 📈 Healthcare marketing agencies: report on provider reputation
• 📊 Research: analyse patient experience by specialty or region
• 🤖 Sentiment analysis and AI: feed real customer feedback into your own analysis or LLM pipeline.

How do I use Healthgrades Reviews Scraper?

1. Create a free Apify account.
2. Open the doctor on Healthgrades and copy the URL of its physician profile, for example https://www.healthgrades.com/physician/dr-jonathon-wertz-x5ksw.
3. Paste it into the Healthgrades doctor 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 Healthgrades 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 doctor URL. See the Input tab for all options.

Field	Description
Healthgrades doctor URL (url)	The physician profile on Healthgrades
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)	US residential proxy, on by default and included in the price. Keep it on: Healthgrades blocks data-center IPs

{
    "url": "https://www.healthgrades.com/physician/dr-jonathon-wertz-x5ksw",
    "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 Healthgrades 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.healthgrades.com/physician/dr-jonathon-wertz-x5ksw"
}

Field	Description
id	Healthgrades's review ID; stable across runs, so you can deduplicate on it
rating	Star rating (1-5), or null if the review has no score
title	Review title, or null when Healthgrades has none
text	Review text
published_at	Publication date in ISO 8601 (UTC)
reply	The doctor's public reply, or null
replied_at	Reply date, or null when Healthgrades doesn't publish it
source_url	The Healthgrades 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 Healthgrades 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 Healthgrades 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 doctors at once?

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

Do I need a Healthgrades account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape Healthgrades?

Yes, but you don't have to set anything up: a US residential proxy is on by default and its cost is included in the price per review. If a request still gets blocked, the scraper retries once on a fresh IP automatically.

Anything special about Healthgrades data?

Healthgrades only serves US visitors, so a US residential proxy is on by default.

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 Healthgrades doctor page: open it in your browser and copy it again. "Blocked" means Healthgrades refused the request; run it again, and keep the proxy on.

Is it legal to scrape Healthgrades reviews?

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.