Blueland Parser Spider

Introduction

The Blueland Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product reviews from Blueland's website. It efficiently gathers comprehensive review data, including ratings, comments, and product details, enabling users to analyze customer feedback at scale. This tool is ideal for businesses, researchers, and analysts seeking actionable insights into product performance and consumer sentiment.

Features

• Comprehensive Review Extraction: Captures full review details such as titles, bodies, ratings, reviewer names, and verification status.
• Product Metadata Integration: Includes product names, handles, variants, images, and URLs for enriched data context.
• High Reliability: Handles dynamic web content and ensures data accuracy through robust parsing logic.
• Scalable Performance: Processes multiple URLs concurrently, supporting large-scale scraping without compromising speed.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports.
• Error-Resilient: Built-in mechanisms to manage rate limits and handle common scraping challenges.
• Customizable Inputs: Flexible URL configuration to target specific products or review pages.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs to scrape reviews from. Each URL must be a valid HTTP/HTTPS link. Minimum 1 URL required.	["https://shop.blueland.com/products/hand-soap-duos"]

Example Usage

Input Configuration

{
  "Urls": [
    "https://shop.blueland.com/products/hand-soap-duos"
  ]
}

Example Output

[
  {
    "Subscriber_Id": "e6d9f49e-7e6c-4065-9eab-110a3e81ece4",
    "Review_Id": "ec3f994e-f47b-4066-b709-0d9e2f7ac957",
    "Product_Id": "shopify-6708353663031",
    "Title": "Love the foaming soap",
    "Body": "The foaming soap is an excellent alternative to liquid soap in big plastic bottles.",
    "Rating": 5,
    "Reviewer_Name": "Cindy A.",
    "Is_Verified": true,
    "Product_Name": "Hand Soap Duo",
    "Product_Handle": "hand-soap-duos",
    "Product_Variant": "10 Tablets / Slate / Fragrance-Free",
    "Product_Image": "https://cdn.shopify.com/s/files/1/0057/9158/0227/files/Site_PLP_Hand_Soap_Slate_Duo_686f52ea-d01d-4a56-9749-724529d08117_x280.jpg?v=1762199437",
    "Product_URL": "//shop.blueland.com/products/hand-soap-duos",
    "Is_Recommended": true,
    "Is_Incentivized": true,
    "Helpful_Count": 0,
    "Unhelpful_Count": 0,
    "Language": "en",
    "Date_Created": "2025-11-08T16:19:21.659Z",
    "Crawled_Date": "11-09-2025",
    "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": "NhnLQ7lCtlOXrhKw0"
  }
]

Use Cases

• Market Research: Analyze customer sentiment to identify trends in product preferences and satisfaction.
• Competitive Intelligence: Compare Blueland's reviews with competitors to benchmark performance.
• Price Monitoring: Track product variants and associated feedback for pricing strategy adjustments.
• Content Aggregation: Collect reviews for content creation, such as blog posts or social media campaigns.
• Academic Research: Study consumer behavior patterns in eco-friendly product categories.
• Business Automation: Automate review data extraction for dashboards or CRM integrations.

Installation and Usage

1. Search for "Blueland 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 as an array of JSON objects, each representing a single review. Key fields include unique identifiers (e.g., Subscriber_Id, Review_Id), review content (Title, Body, Rating), reviewer details (Reviewer_Name, Is_Verified), product information (Product_Name, Product_Image), engagement metrics (Helpful_Count), and metadata (Date_Created, Source_URL). This structured format ensures easy parsing and integration, with fields like Is_Recommended and Language providing additional context for analysis.

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!

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Concise Description (248 characters):
Unlock deep insights into Blueland product reviews with our Parser Spider. Extract ratings, comments, and metadata effortlessly. Key features: scalable scraping, structured JSON output, and error handling. Perfect for market research, competitive analysis, and automation. Start analyzing today!