Bouncefresh Parser Spider

Introduction

The Bouncefresh Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product reviews from Bouncefresh websites. It automates the collection of user-generated content, including ratings, reviews, and associated metadata, enabling businesses and researchers to gather valuable insights efficiently. By leveraging advanced web scraping techniques, this Actor ensures reliable data extraction while minimizing manual effort and errors.

Features

• Comprehensive Review Extraction: Captures full review details such as titles, text, ratings, submission times, and user nicknames.
• Multimedia Support: Includes photos and videos attached to reviews, with multiple size options for images.
• Syndication Source Tracking: Identifies the origin of reviews, including client IDs and source names for better context.
• Flexible Input Handling: Accepts multiple URLs for batch processing, supporting various Bouncefresh product pages.
• High-Performance Scraping: Optimized for speed and reliability, handling large volumes of data without compromising quality.
• Structured JSON Output: Delivers clean, machine-readable data perfect for integration with analytics tools or databases.
• Error-Resilient Design: Built-in handling for common web scraping challenges like rate limits and dynamic content.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs pointing to Bouncefresh product pages to scrape reviews from. Must be valid HTTP/HTTPS URLs.	["https://www.bouncefresh.com/product/123", "https://www.bouncefresh.com/product/456"]

Example Usage

Input Configuration

{
  "Urls": [
    "https://www.bouncefresh.com/product/bounce-sheets-outdoor-fresh"
  ]
}

Example Output

[
  {
    "Id": "247425020",
    "ProductId": "Bounce_Sheets_Outdoor_Fresh",
    "Title": "They\u2019re a reliable laundry essential that keeps cl",
    "ReviewText": "They leave my clothes soft, fresh-smelling, and static-free after every wash. The scent is clean and pleasant without being too strong or overpowering.",
    "Rating": 5,
    "SubmissionTime": "2026-01-13T01:53:13.000+00:00",
    "UserNickname": "jennifferc28_3187",
    "SyndicationSource": {
      "ClientId": null,
      "LogoImageUrl": "https://contentorigin.bazaarvoice.com/influenster/default/influenster.png",
      "ContentLink": null,
      "Name": "influenster.com"
    },
    "AdditionalFields": {},
    "ContextDataValues": {},
    "Pros": null,
    "Cons": null,
    "Photos": [
      {
        "Sizes": {
          "normal": {
            "Id": "normal",
            "Url": "https://photos-us.bazaarvoice.com/photo/2/cGhvdG86Ym91bmNl/7222f1bd-9980-5412-baa1-8717023dfbb4"
          },
          "thumbnail": {
            "Id": "thumbnail",
            "Url": "https://photos-us.bazaarvoice.com/photo/2/cGhvdG86Ym91bmNl/9fa73e7e-767a-5fd7-bc37-17a85d4dbdba"
          },
          "large": {
            "Id": "large",
            "Url": "https://photos-us.bazaarvoice.com/photo/2/cGhvdG86Ym91bmNl/14f89b87-9205-5683-bf57-9a827678fc18"
          }
        },
        "Id": "16033440",
        "SizesOrder": [
          "normal",
          "thumbnail",
          "large"
        ],
        "Caption": null
      }
    ],
    "Videos": [],
    "actor_id": "edO00Dx2KER2HRsJC",
    "run_id": "FnNNe9LVVqogtZLe7"
  }
]

Use Cases

• Market Research and Analysis: Gather consumer feedback to understand product performance and sentiment trends.
• Competitive Intelligence: Compare reviews across similar products to identify strengths and weaknesses.
• Price Monitoring: Analyze review data alongside pricing for comprehensive market insights.
• Content Aggregation: Collect and organize user-generated content for blogs, reports, or social media.
• Academic Research: Study consumer behavior and preferences in laundry products through real-world data.
• Business Automation: Automate data collection for dashboards, reports, or machine learning models.

Installation and Usage

1. Search for "Bouncefresh Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters by providing the list of URLs.
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 Id (unique review identifier), ProductId (product reference), Title and ReviewText (content), Rating (numerical score), SubmissionTime (timestamp), UserNickname (reviewer), SyndicationSource (origin details), Photos (array of image objects with sizes), and Videos (array of video data). Additional metadata like actor_id and run_id are included for tracking.

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!