Vitals Reviews Scraper

What is Vitals Reviews Scraper?

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

Vitals.com, part of WebMD, is a US doctor directory with patient reviews for millions of physicians. 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 Vitals?

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

Why scrape Vitals reviews?

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

How do I use Vitals Reviews Scraper?

1. Create a free Apify account.
2. Open the doctor on Vitals and copy the URL of its doctor profile (/doctors/...), for example https://www.vitals.com/doctors/beth-shubin-stein-epgjil.
3. Paste it into the Vitals 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 Vitals 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
Vitals doctor URL (url)	The doctor profile (/doctors/...) on Vitals
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: Vitals blocks data-center IPs

{
    "url": "https://www.vitals.com/doctors/beth-shubin-stein-epgjil",
    "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 Vitals 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.vitals.com/doctors/beth-shubin-stein-epgjil"
}

Field	Description
id	Vitals'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 Vitals 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 Vitals doesn't publish it
source_url	The Vitals 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 Vitals 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 Vitals 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 Vitals account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape Vitals?

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 Vitals data?

The newest 10 reviews load from the profile page. Older reviews come from an API that blocks data-center IPs, so keep the residential proxy on to get them all.

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

Is it legal to scrape Vitals 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.