# Blueland Reviews Parser Spider (`getdataforme/blueland-reviews-parser-spider`) Actor

The Blueland Reviews Parser Spider automates extraction of detailed customer reviews from Blueland product pages, delivering structured JSON data for sentiment analysis, market research, and competitive intelligence....

- **URL**: https://apify.com/getdataforme/blueland-reviews-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Agents, E-commerce
- **Stats:** 1 total users, 0 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/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

## Blueland Reviews Parser Spider

### Introduction

The Blueland Reviews Parser Spider is a powerful Apify Actor designed to extract and parse customer reviews from Blueland's product pages efficiently. It automates the collection of detailed review data, including ratings, comments, and product information, enabling businesses and researchers to gain valuable insights into customer sentiment. This tool streamlines data gathering for market analysis, competitive intelligence, and more, saving time and ensuring high-quality, structured outputs.

### Features

- **Comprehensive Review Extraction**: Captures full review details such as titles, bodies, ratings, and reviewer information from Blueland's website.
- **High Data Accuracy**: Ensures reliable parsing with verification flags and metadata for each review.
- **Flexible Input Handling**: Supports multiple URLs and customizable item limits for targeted scraping.
- **Structured JSON Output**: Delivers clean, machine-readable data perfect for integration into databases or analytics tools.
- **Performance Optimized**: Built for speed and efficiency, handling large volumes of reviews without compromising quality.
- **Error-Resilient**: Includes robust error handling to manage network issues or invalid URLs gracefully.
- **Apify Integration**: Seamlessly runs on the Apify platform with easy monitoring and export options.

### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| Urls | array | Yes | A list of URLs to scrape reviews from. Each URL must be a valid HTTP/HTTPS link pointing to a Blueland product page or review endpoint. | \["https://shop.blueland.com/products/hand-soap-refill-packs"] |
| itemLimit | integer | No | The maximum number of review items to process. Defaults to 10 if not specified. | 50 |

### Example Usage

#### Input Configuration

```json
{
  "Urls": [
    "https://shop.blueland.com/products/hand-soap-refill-packs"
  ],
  "itemLimit": 10
}
```

#### Output Example

```json
[
  {
    "Subscriber_Id": "e6d9f49e-7e6c-4065-9eab-110a3e81ece4",
    "Review_Id": "e445e75d-1bda-49ba-82a4-8442113a6e4a",
    "Product_Id": "shopify-4399825846327",
    "Title": "Still loving my hand soap!",
    "Body": "Since I first opened my little brown package containing my first hand soap tablet, I have enjoyed this naturel soap. It foams beautifully and smoothly.  Each tablet has a pleasant smell. It is just strong enough to want another sniff but isn't so strong that it knocks you over. I look forward to when it is time to refill my durable and pretty hand soap bottle! I would recommend this product to anyone and have given it as a gift to friends.",
    "Rating": 5,
    "Reviewer_Name": "Havalah M.",
    "Is_Verified": true,
    "Product_Name": "Hand Soap Tablet Refills",
    "Product_Handle": "hand-soap-refill-packs",
    "Product_Variant": "5 Tablets / Classic Variety Pack",
    "Product_Image": "https://cdn.shopify.com/s/files/1/0057/9158/0227/files/PDP_Refills_Variety_Pack_Cedar_Fig_2_1_x280.jpg?v=1762198238",
    "Product_URL": "//shop.blueland.com/products/hand-soap-refill-packs",
    "Is_Recommended": true,
    "Is_Incentivized": true,
    "Helpful_Count": 0,
    "Unhelpful_Count": 0,
    "Language": "en",
    "Date_Created": "2026-01-14T15:33:01.135Z",
    "Crawled_Date": "01-14-2026",
    "Source_URL": "https://api.okendo.io/v1/stores/e6d9f49e-7e6c-4065-9eab-110a3e81ece4/products/shopify-4399825846327/reviews?limit=7&orderBy=tag%3AuC3sTVP+desc&orderBy=rating+desc&lastEvaluated=%7B%22from%22%3A%200%7D",
    "actor_id": "Rk039YtFLaqSRuBBP",
    "run_id": "eBanPyh0is8mtw5eQ"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Analyze customer feedback to identify trends in product satisfaction and preferences.
- **Competitive Intelligence**: Compare Blueland's reviews with competitors to benchmark performance and pricing.
- **Price Monitoring**: Track review sentiments alongside product variants for dynamic pricing strategies.
- **Content Aggregation**: Collect and aggregate reviews for content creation, such as blog posts or social media campaigns.
- **Academic Research**: Gather data for studies on consumer behavior and e-commerce trends.
- **Business Automation**: Integrate review data into dashboards for automated reporting and decision-making.

### Installation and Usage

1. Search for "Blueland Reviews Parser Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

### Output Format

The Actor outputs data in JSON format as an array of review objects. Each object includes fields like Subscriber\_Id, Review\_Id, Title, Body, Rating, Reviewer\_Name, Is\_Verified, Product\_Name, and more. Key fields provide metadata such as creation dates, helpful counts, and source URLs, ensuring comprehensive and actionable insights. Data is structured for easy parsing and integration.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

# Actor input Schema

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

The urls for the spider.

## `itemLimit` (type: `integer`):

Specifies the maximum number of items to process.

## Actor input object example

```json
{
  "itemLimit": 10
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/blueland-reviews-parser-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/blueland-reviews-parser-spider").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 '{}' |
apify call getdataforme/blueland-reviews-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/blueland-reviews-parser-spider"
        }
    }
}

```

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/Rk039YtFLaqSRuBBP/builds/2dQxVoWx3wyxd0elQ/openapi.json
