StyleSeat Reviews Scraper ($2/1K)

What is StyleSeat Reviews Scraper?

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

StyleSeat is a US booking app for hair stylists, barbers, nail techs and other beauty pros, with reviews from real appointments. With this scraper you can:

• ⭐ Scrape every review of a stylist, or only the newest ones
• 💬 Get the review text and the stylist'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 StyleSeat?

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

Why scrape StyleSeat reviews?

• 💇 Stylists and beauty pros: keep track of client reviews
• 🏢 Salons: compare your pros in one dataset
• 📊 Market research: analyse beauty pros by city or service
• 🤖 Sentiment analysis and AI: feed real customer feedback into your own analysis or LLM pipeline.

How do I use StyleSeat Reviews Scraper?

1. Create a free Apify account.
2. Open the stylist on StyleSeat and copy the URL of its professional's page (/m/v/...), for example https://www.styleseat.com/m/v/leahlang.
3. Paste it into the StyleSeat stylist 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 StyleSeat 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 stylist URL. See the Input tab for all options.

Field	Description
StyleSeat stylist URL (url)	The professional's page (/m/v/...) on StyleSeat
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 StyleSeat. Only enable it if your runs get blocked

{
    "url": "https://www.styleseat.com/m/v/leahlang",
    "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 StyleSeat 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.styleseat.com/m/v/leahlang"
}

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

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

Do I need a StyleSeat account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape StyleSeat?

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

Is it legal to scrape StyleSeat 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.

⭐ Does it work well for you? A review on the Store page helps others find this Actor and helps us keep it maintained.