Booksy Reviews Scraper

What is Booksy Reviews Scraper?

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

Booksy is a booking app for barbers, hair salons, nail studios and other beauty businesses, with verified reviews from real appointments. With this scraper you can:

• ⭐ Scrape every review of a salon or barber, or only the newest ones
• 💬 Get the review text and the salon or barber'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 Booksy?

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

Why scrape Booksy reviews?

• 💈 Salons and barbers: keep an eye on client feedback
• 🏢 Beauty chains: compare locations in one dataset
• 📊 Market research: analyse beauty businesses by city or service
• 🤖 Sentiment analysis and AI: feed real customer feedback into your own analysis or LLM pipeline.

How do I use Booksy Reviews Scraper?

1. Create a free Apify account.
2. Open the salon or barber on Booksy and copy the URL of its business page, for example https://booksy.com/en-us/110442_gramercy-best-barbers_barber-shop_30067_new-york-city.
3. Paste it into the Booksy salon or barber 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 Booksy 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 salon or barber URL. See the Input tab for all options.

Field	Description
Booksy salon or barber URL (url)	The business page on Booksy
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 Booksy. Only enable it if your runs get blocked

{
    "url": "https://booksy.com/en-us/110442_gramercy-best-barbers_barber-shop_30067_new-york-city",
    "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 Booksy 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://booksy.com/en-us/110442_gramercy-best-barbers_barber-shop_30067_new-york-city"
}

Field	Description
id	Booksy'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 Booksy has none
text	Review text
published_at	Publication date in ISO 8601 (UTC)
reply	The salon or barber's public reply, or null
replied_at	Reply date, or null when Booksy doesn't publish it
source_url	The Booksy 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 Booksy 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 Booksy 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 salon or barbers at once?

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

Do I need a Booksy account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape Booksy?

No. Booksy 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 Booksy salon or barber page: open it in your browser and copy it again. "Blocked" means Booksy refused the request; run it again, and keep the proxy on.

Is it legal to scrape Booksy 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.