# Fresha Reviews Scraper ($2/1K) (`carabain-digital/fresha-reviews`) Actor

Scrape all reviews of any salon or spa on Fresha: rating (1-5), text, date, reviewer and reply. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/carabain-digital/fresha-reviews.md
- **Developed by:** [Carabain Digital](https://apify.com/carabain-digital) (community)
- **Categories:** Lead generation, Marketing
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

#### What is Fresha Reviews Scraper?

**Fresha Reviews Scraper** extracts **all reviews of any salon or spa on [Fresha](https://www.fresha.com)**: star rating, review text, date, reviewer name and the salon or spa's reply. Paste a Fresha URL, click **Start**, and download the reviews as JSON, CSV, Excel, XML or HTML.

Fresha is a worldwide booking platform for salons, barbers, spas and beauty clinics, with verified reviews from real appointments. With this scraper you can:

- ⭐ **Scrape every review** of a salon or spa, or only the newest ones
- 💬 **Get the review text and the salon or spa'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 Fresha?

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

#### Why scrape Fresha reviews?

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

#### How do I use Fresha Reviews Scraper?

1. [Create a free Apify account](https://console.apify.com/sign-up).
2. Open the salon or spa on Fresha and copy the URL of its venue page (/a/...), for example `https://www.fresha.com/a/venue-salon-lakeland-5035-south-lakeland-drive-brznh7lm`.
3. Paste it into the **Fresha salon or spa 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 Fresha 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 spa URL. See the **Input** tab for all options.

| Field | Description |
|---|---|
| **Fresha salon or spa URL** (`url`) | The venue page (/a/...) on Fresha |
| **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 Fresha. Only enable it if your runs get blocked |

```json
{
    "url": "https://www.fresha.com/a/venue-salon-lakeland-5035-south-lakeland-drive-brznh7lm",
    "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 Fresha review sample (illustrative)

```json
{
    "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.fresha.com/a/venue-salon-lakeland-5035-south-lakeland-drive-brznh7lm"
}
```

| Field | Description |
|---|---|
| `id` | Fresha'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 Fresha has none |
| `text` | Review text |
| `published_at` | Publication date in ISO 8601 (UTC) |
| `reply` | The salon or spa's public reply, or `null` |
| `replied_at` | Reply date, or `null` when Fresha doesn't publish it |
| `source_url` | The Fresha 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](https://apify.com/carabain-digital/kiyoh-reviews).

#### 🔌 Integrations

Connect Fresha Reviews Scraper to almost any cloud service or web app with [Apify integrations](https://apify.com/integrations): Make, Zapier, Slack, Google Sheets, Google Drive, Airbyte, GitHub and more. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action when a run finishes, for example to post new reviews to Slack.

#### 💻 Using Fresha Reviews Scraper with the Apify API

The [Apify API](https://docs.apify.com/api/v2) lets you start runs, schedule them and fetch results from your own code. Use the [Python](https://docs.apify.com/api/client/python) or [JavaScript](https://docs.apify.com/api/client/js) client, or call the scraper from AI agents through the [Apify MCP server](https://mcp.apify.com). The **API** tab has ready-to-use code.

#### ❓ FAQ

##### Can I scrape multiple salon or spas at once?

Run the scraper once per salon or spa. To monitor several, create a [task](https://docs.apify.com/platform/actors/running/tasks) per salon or spa and [schedule](https://docs.apify.com/platform/schedules) them, or start runs from the API.

##### Do I need a Fresha account?

No. The scraper only reads publicly visible reviews.

##### Do I need proxies to scrape Fresha?

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

##### Is it legal to scrape Fresha 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](https://blog.apify.com/is-web-scraping-legal/).

#### 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.

# Actor input Schema

## `url` (type: `string`):

The venue page (/a/...), e.g. https://www.fresha.com/a/venue-salon-lakeland-5035-south-lakeland-drive-brznh7lm

## `limit` (type: `integer`):

Stop after this many reviews (newest first). Leave empty for all.

## `cutoff_date` (type: `string`):

Skip reviews published before this date (YYYY-MM-DD). Useful for incremental runs.

## `proxyConfiguration` (type: `object`):

Fresha normally works without a proxy. Enable one only if runs get blocked.

## Actor input object example

```json
{
  "url": "https://www.fresha.com/a/venue-salon-lakeland-5035-south-lakeland-drive-brznh7lm",
  "limit": 20,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `reviews` (type: `string`):

All scraped reviews, one item per review.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "url": "https://www.fresha.com/a/venue-salon-lakeland-5035-south-lakeland-drive-brznh7lm",
    "limit": 20,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("carabain-digital/fresha-reviews").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "url": "https://www.fresha.com/a/venue-salon-lakeland-5035-south-lakeland-drive-brznh7lm",
    "limit": 20,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("carabain-digital/fresha-reviews").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "url": "https://www.fresha.com/a/venue-salon-lakeland-5035-south-lakeland-drive-brznh7lm",
  "limit": 20,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call carabain-digital/fresha-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,carabain-digital/fresha-reviews"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OnjZd2DXBGAyFYcXh/builds/91oBl9vx28laBmB2F/openapi.json
