Treatwell Reviews Scraper 🧖‍♀️💅

Treatwell Reviews Scraper 🧖‍♀️💅

Scrape Treatwell salon & spa reviews with detailed information including reviewer details, ratings, treatment names, and employee information. Perfect for market research and customer feedback analysis.

ECOMMERCELEAD_GENERATIONApify

Extract detailed customer reviews from Treatwell, the leading beauty and wellness booking platform in Europe.

🎯 Use Cases

  • Market research and competitor analysis
  • Customer sentiment analysis
  • Service quality monitoring
  • Business intelligence gathering
  • Employee performance tracking

✨ Features

  • Scrapes comprehensive review data including:
    • Reviewer information
    • Rating scores
    • Review content
    • Treatment details
    • Employee information
    • Verification status
    • Visit dates
  • Handles multiple salon/spa URLs
  • Customizable number of reviews to scrape
  • Built-in proxy rotation support
  • Anti-blocking measures
  • Real-time data export

💡 Input Parameters

  • placeUrls: Array of Treatwell salon/spa URLs to scrape
  • maxItems: Maximum number of reviews to collect (optional)
  • proxyConfiguration: Proxy settings (optional)

📊 Output Dataset

Results are stored in a structured JSON format, making it easy to analyze and process the data further.

🚀 Getting Started

  1. Input the Treatwell salon/spa URLs you want to scrape
  2. Set the maximum number of reviews (optional)
  3. Configure proxy settings if needed
  4. Run the actor and collect your data!

📝 Notes

  • Respects Treatwell's robots.txt and implements reasonable delays
  • Built with anti-blocking measures for reliable scraping
  • Regular updates to maintain compatibility with Treatwell's website changes

Input Example

A full explanation of an input example in JSON.

1{
2    "placeUrls": [
3        "https://www.treatwell.co.uk/place/catori-beauty-within-mario-s-hair-beauty/"
4    ],
5    "maxItems": 20
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "placeUrl": "https://www.treatwell.co.uk/place/catori-beauty-within-mario-s-hair-beauty/",
4        "review": {
5            "id": 21437018,
6            "reviewer": {
7                "anonymous": false,
8                "name": "Lynn"
9            },
10            "createdAt": "2025-01-21T01:07:08Z",
11            "visitedAt": "2025-01-20",
12            "content": {
13                "content": "Great to have gel removed. Christina was efficient and lovely.",
14                "generated": false
15            },
16            "verified": true,
17            "rating": 5,
18            "treatmentNames": [
19                "Nail or Gel Polish Removal"
20            ],
21            "employeeDescription": "Treatment by Christina"
22        },
23        "scrapedAt": "2025-01-23T06:27:27.309Z"
24    },
25    ...
26]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!