# Faire Reviews Spider (`getdataforme/faire-reviews-spider`) Actor

The Faire Reviews Parser Spider extracts detailed brand review data from Faire.com, including ratings, reviewer info, and performance metrics. Ideal for market research, brand monitoring, and supplier evaluation with structured JSON output.

- **URL**: https://apify.com/getdataforme/faire-reviews-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 5 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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/platform/actors/running/actors-in-store#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

***

## 🕷️ Faire Reviews Parser Spider

The **Faire Reviews Parser Spider** is a specialized Apify Actor designed to extract verified brand review data from **[Faire.com](https://www.faire.com)** — a wholesale marketplace for retailers and brands.
This Actor crawls Faire brand pages and collects **review details, ratings, comments, reviewer information, and performance metrics** to help you analyze brand reputation and customer satisfaction efficiently.

***

### 🚀 How It Works

Provide one or more **Faire brand URLs** (such as product category or brand profile pages).
The Actor automatically navigates through the review sections, extracts all review-related information, and returns structured, ready-to-use JSON data.

***

### 🧩 Input Configuration

Example input:

```json
{
    "Urls": [
        "https://www.faire.com/brand/b_4uwju9t1z1?filters=category%3Awomen%7Caccessories_2"
    ],
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
}
```

#### Input fields

| Field                     | Type             | Required | Description                                           |
| ------------------------- | ---------------- | -------- | ----------------------------------------------------- |
| `Urls`                    | Array of Strings | ✅ Yes    | List of **Faire brand URLs** to extract reviews from. |
| `proxy.useApifyProxy`     | Boolean          | ✅ Yes    | Enables use of Apify Proxy (recommended: `true`).     |
| `proxy.apifyProxyGroups`  | Array            | Optional | Proxy groups to use (e.g., `["RESIDENTIAL"]`).        |
| `proxy.apifyProxyCountry` | String           | Optional | Country for proxy routing (e.g., `"US"`).             |

***

### 📦 Example Output

Here’s an example of the structured JSON result you’ll receive:

```json
[
  {
    "Review_Id": "br_h72sxf2uwg",
    "Brand_Token": "b_4uwju9t1z1",
    "Rating": 5,
    "Comment": "Extremely fast shipper, LOVE the products.",
    "User_First_Name": "Kristy",
    "Retailer_Location": "Simpsonville, SC, United States",
    "Created_At": "10-12-2025",
    "Metrics": [
      {
        "Label": "Quality of products",
        "Rating": 5,
        "Positive": true
      },
      {
        "Label": "Fulfillment",
        "Rating": 5,
        "Positive": true
      },
      {
        "Label": "Communication",
        "Rating": 5,
        "Positive": true
      }
    ],
    "Source": "Faire",
    "Country": "United States",
    "Crawled_Date": "10-20-2025",
    "actor_id": "TTbbOj7Ymy8s02Ual",
    "run_id": "0vbGrbHHoQJr5wOac"
  }
]
```

***

### ✨ Features

- 🧾 Extracts **complete brand review data**, including ratings, user info, and detailed metrics.
- 🌍 Supports **Apify Residential Proxy** for consistent, reliable access.
- ⚙️ Outputs **standardized JSON** perfect for data pipelines or analytics tools.
- 📊 Captures **performance metrics** like communication, quality, and fulfillment ratings.
- 💡 Ideal for brand monitoring, market research, and supplier evaluation.

***

### 💡 Use Cases

- 🕵️ **Brand reputation monitoring** – Track feedback trends across multiple Faire sellers.
- 🛍️ **Wholesale analytics** – Understand how brands are performing on Faire’s marketplace.
- 📈 **Competitive research** – Compare review sentiment and metrics across categories.
- 🤝 **Supplier quality analysis** – Evaluate reliability before sourcing products.

***

### 🛠️ Version

**Current version:** `1.0.0`
**Supported site:** [Faire.com](https://www.faire.com)

***

### 🧰 Integration Tips

- Use with **Apify’s Dataset API** to fetch structured JSON, CSV, or Excel output directly.
- Combine with **Apify schedules** or **webhooks** to automate recurring review updates.
- You can expand `"Urls"` to scrape multiple brand review pages at once.

***

### 💬 Support

For **bug reports**, **feature requests**, or **custom output requirements**, contact:
📧 **<support@getdataforme.com>**
🌐 <https://getdataforme.com/contact/>

> 💡 **Tip:** Include a clear subject line such as
> *Subject: Faire Parser Spider – Support Request*

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `proxy` (type: `object`):

Proxy settings for the spider.

## Actor input object example

```json
{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# 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 = {
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/faire-reviews-spider").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 = { "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    } }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/faire-reviews-spider").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call getdataforme/faire-reviews-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/faire-reviews-spider",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/TTbbOj7Ymy8s02Ual/builds/9XvNT26lsnX3L12bq/openapi.json