# Feefo Reviews Scraper (`wibuild.in/feefo-reviews-scraper`) Actor

Scrape Feefo product & service reviews by brand and export clean CSV/JSON. Handles pagination, max reviews, rating, comment, dates, SKU, product name and URLs. Ideal for review analytics, ecommerce reporting data.

- **URL**: https://apify.com/wibuild.in/feefo-reviews-scraper.md
- **Developed by:** [Wibuild](https://apify.com/wibuild.in) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 5 total users, 1 monthly users, 97.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Feefo Reviews Scraper

Scrape **product & service reviews from Feefo** for a given brand and export them as a clean dataset (one row per review).

This actor gives you a tidy table with key review fields like rating, comment, SKU, and product name.

***

### What this actor does

- Takes one or more **Feefo brand URLs** or **brand slugs** (e.g. `babyblooms-limited`).
- Stops when it reaches:
  - `maxReviews` (if set), or
  - Feefo’s `hasMore = false` (no more pages).
- Normalizes review data so that:
  - You get **one row per review** (product-level feedback).
  - You always have `consumerComment`, `numericalScore`, `sku`, `parentSku`, and `product_name`.
  - All dates are converted to **`YYYY-MM-DD`**.

***

### Input

#### Input fields (JSON)

```json
{
  "startUrls": "https://www.feefo.com/en-GB/reviews/babyblooms-limited",
  "maxReviews": 1000
}
```

#### Field description

| Field          | Type               | Required | Description                                                                                         |
|----------------|--------------------|----------|-----------------------------------------------------------------------------------------------------|
| `startUrls`    | `string[]`         | ✅       | List of Feefo **brand review URLs** or **slugs**. See “How to get the brand name” below.           |
| `maxReviews`   | `number \| null`   | ❌       | Maximum number of reviews to scrape per run. If omitted, actor will scrape everything available.   |
|

> **Note:** Internally the actor converts each URL into a **brand slug** like `babyblooms-limited` by extracting the part after `/reviews/`.

***

### How to get the brand slug from Feefo

You can pass either:

- The full URL:\
  `https://www.feefo.com/en-GB/reviews/babyblooms-limited`

or just the slug:

- `babyblooms-limited`

The slug is the part **after `/reviews/` and before any `?`**:

```text
https://www.feefo.com/en-GB/reviews/babyblooms-limited
                            ^^^^^^^^^^^^^^^^^^^^^
                            brand slug
```

Examples:

- `https://www.feefo.com/en-GB/reviews/babyblooms-limited` → `babyblooms-limited`
- `https://www.feefo.com/en-GB/reviews/babyblooms-limited?displayFeedbackType=BOTH&withMedia=false&timeFrame=ALL` → `babyblooms-limited`
- `https://www.feefo.com/en-GB/reviews/little-bird-told-me?displayFeedbackType=SERVICE&withMedia=false&timeFrame=ALL` → `little-bird-told-me`

The actor does this extraction automatically for you.

***

### Output

The actor writes one item per **review** into the default dataset.

#### Row grain

- **1 row = 1 product review (sale item)**\
  If a single order has multiple products, each product’s review appears on its own row.

#### Dataset schema (per row)

This is the dataset schema the actor uses (JSON Schema-style):

```json
{
    "totalResults": 828,
    "hasMore": true,
    "lastId": "65840987e4b020293125631e",
    "lastDate": "2024-01-06",
    "sale_id": "692558abe4b05dbac36aa215",
    "sale_url": "https://www.feefo.com/reviews/little-bird-told-me/692558abe4b05dbac36aa215/customer-review-the-best-first-birthday-present",
    "consumerDisplayName": "Karen Smith",
    "region": "GBR",
    "yesHelpfulVotes": 0,
    "alreadyRated": false,
    "privateCampaign": false,
    "resolvedByConsumer": false,
    "summary": "The best first birthday present",
    "summaryAutoGenerated": false,
    "saleDate": "2025-11-22",
    "createDate": "2025-12-10",
    "latestFeedbackDate": "2025-12-10",
    "numericalScore": 5,
    "consumerComment": "I bought this for my grandson’s first birthday, hope he loves it as much as I do. The fur feels so soft, more than I expected it to.",
    "product_name": "Dexter Dog Baby Walker",
    "product_description": "Dexter Dog Baby Walker",
    "productLink": "https://littlebirdtoldme.com/product/dexter-dog-baby-walker",
    "productId": "5bbdfd88e4b08ffbe030b656",
    "sku": "LB3052",
    "parentSku": null,
    "product_url": "https://www.feefo.com/reviews/little-bird-told-me/products/dexter-dog-baby-walker?sku=LB3052",
    "item_productFeedbackCount": 59,
    "serviceFeedback.id": "6939f2c4e4b086d1694f14cd",
    "serviceFeedback.createDate": "2025-12-10",
    "serviceFeedback.numericalScore": 5,
    "serviceFeedback.consumerComment": "Arrived very quickly and was left safely with my neighbour as requested",
    "serviceFeedback.moderationStatus": "PUBLISHED",
    "serviceFeedback.helpfulVotes": 0,
    "serviceFeedback.formattedByFeefo": false,
    "item_productFeedback.id": "6939f2c5e4b086d1694f14e7",
    "item_productFeedback.createDate": "2025-12-10",
    "item_productFeedback.numericalScore": 5,
    "item_productFeedback.consumerComment": "I bought this for my grandson’s first birthday, hope he loves it as much as I do. The fur feels so soft, more than I expected it to.",
    "item_productFeedback.moderationStatus": "PUBLISHED",
    "item_productFeedback.helpfulVotes": 0
  }
```

***

### Example: Using the actor

1. Go to the actor’s page.
2. In the input, set (for example):

```json
{
  "startUrls": "https://www.feefo.com/en-GB/reviews/babyblooms-limited",
  "maxReviews": 500
}
```

3. Run the actor.
4. When it finishes, export the dataset (CSV/JSON/Excel) to work with the reviews.

***

### How it works (high level)

- Extracts the **brand slug** from each `startUrl`.

  ```text
  https://www.feefo.com/api/feedbacks/lazy/{brand_slug}?...
  ```

- Loops through pages, respecting:
  - `pageSize` for API calls,
  - `maxReviews` for the total number of rows.

- Flattens nested JSON into a table and normalizes:
  - date fields → `YYYY-MM-DD`
  - comment & rating → `consumerComment` and `numericalScore`

- Saves each row to the Apify dataset.

***

# Actor input Schema

## `URL` (type: `string`):

URL to scrape

## `maxreviews` (type: `integer`):

Maximum number of reviews to scrape.

## Actor input object example

```json
{
  "URL": "https://www.feefo.com/en-GB/reviews/babyblooms-limited",
  "maxreviews": 50
}
```

# Actor output Schema

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

No description

# 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.feefo.com/en-GB/reviews/babyblooms-limited",
    "maxreviews": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("wibuild.in/feefo-reviews-scraper").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.feefo.com/en-GB/reviews/babyblooms-limited",
    "maxreviews": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("wibuild.in/feefo-reviews-scraper").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.feefo.com/en-GB/reviews/babyblooms-limited",
  "maxreviews": 50
}' |
apify call wibuild.in/feefo-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wibuild.in/feefo-reviews-scraper"
        }
    }
}

```

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/ebMFo8UBHXe1QXS8H/builds/39mVbic6dVBSH6cVt/openapi.json