Description

Extract customer reviews from Columbia.com product pages with this Apify Actor. Delivers structured data on ratings, feedback, and user experiences for market research, brand monitoring, and product insights. Features fast, accurate scraping, flexible inputs, and JSON output—no coding required.

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Columbia Reviews Spider

Introduction

The Columbia Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Columbia.com product pages. It provides structured, high-quality data on product feedback, ratings, and user experiences, enabling businesses and researchers to gain valuable insights into consumer sentiment. Whether you're conducting market research, monitoring brand reputation, or analyzing product performance, this Actor delivers reliable and actionable data with ease.

Features

• Comprehensive Review Extraction: Captures all key review details including ratings, text, author info, and timestamps from Columbia.com product pages.
• High Data Accuracy: Ensures precise scraping with minimal errors, delivering clean and structured JSON output.
• Fast and Efficient: Optimized for quick execution, handling multiple reviews per product without delays.
• Flexible Input: Accepts any valid Columbia.com product URL for targeted scraping.
• Structured Output: Provides consistent, machine-readable data formats ideal for integration with analytics tools.
• Reliable Performance: Built on Apify's robust infrastructure for stable and scalable operations.
• No Coding Required: User-friendly interface for non-technical users to run extractions effortlessly.

Input Parameters

Parameter	Type	Required	Description	Example
ProductUrl	string	No	The URL of the Columbia.com product page from which to scrape reviews. Must be a valid HTTP/HTTPS URL.	https://www.columbia.com/p/mens-watertight-ii-jacket-1533891.html?color=379

Example Usage

Input Configuration

{
  "ProductUrl": "https://www.columbia.com/p/mens-watertight-ii-jacket-1533891.html?color=379"
}

Output Example

[
  {
    "product_id": "1533891",
    "review_id": "248579897",
    "title": "Knockout Protection",
    "review_text": "Way more than I bargained for. More than a Bantam weight rain jacket. Watertight II is perfect with a t-shirt for the summer, or combined with a sweatshirt for spring/fall. Zing makes the E-Bike commute at 6am just a little safer, too.",
    "rating": 5,
    "recommended": true,
    "author": "MJKP",
    "location": "Virginia Beach, VA",
    "date": "2026-03-06T08:32:39.000+00:00",
    "locale": "en_US",
    "product_name": "Men\u2019s Watertight\u2122 II Jacket",
    "actor_id": "k3EYqjGuKKSHsJnOP",
    "run_id": "IfgnTsZ7Cz1bZ3wQa"
  },
  {
    "product_id": "1533891",
    "review_id": "248548565",
    "title": "A good decent rain jacket that kept me dry.",
    "review_text": "Lightweight and waterproof also jacket is a regular fitted. I got to try the jacket out end of February 26. I am in California so it was 50 degrees during the day and raining. I had a long sleeve tshirt. It started to get real humid. So I took off long sleeve tee and replaced with a tshirt. I cooled off tremendously.",
    "rating": 5,
    "recommended": null,
    "author": null,
    "location": "California",
    "date": "2026-03-04T19:08:56.000+00:00",
    "locale": "en_US",
    "product_name": "Men\u2019s Watertight\u2122 II Jacket",
    "actor_id": "k3EYqjGuKKSHsJnOP",
    "run_id": "IfgnTsZ7Cz1bZ3wQa"
  },
  {
    "product_id": "1533891",
    "review_id": "248552705",
    "title": "Quality Jacket",
    "review_text": "A quality jacket--feels durable and is lightweight. Exactly what I was expecting!",
    "rating": 5,
    "recommended": true,
    "author": "John",
    "location": "Nashville, TN",
    "date": "2026-03-04T22:31:16.000+00:00",
    "locale": "en_US",
    "product_name": "Men\u2019s Watertight\u2122 II Jacket",
    "actor_id": "k3EYqjGuKKSHsJnOP",
    "run_id": "IfgnTsZ7Cz1bZ3wQa"
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends in product preferences and satisfaction levels.
• Competitive Intelligence: Compare reviews across similar products to benchmark performance against competitors.
• Brand Monitoring: Track sentiment and ratings to maintain or improve brand reputation.
• Product Development: Gather insights from reviews to inform design improvements and feature enhancements.
• E-commerce Analysis: Support pricing strategies and inventory decisions based on real user experiences.
• Academic Research: Collect data for studies on consumer behavior and outdoor apparel trends.

Installation and Usage

1. Search for "Columbia Reviews Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters, such as the ProductUrl.
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 an array of JSON objects, each representing a single review. Key fields include:

• product_id: Unique identifier for the product.
• review_id: Unique identifier for the review.
• title: Review title.
• review_text: Full review content.
• rating: Numerical rating (e.g., 1-5).
• recommended: Boolean indicating if the product is recommended.
• author: Reviewer's name or handle.
• location: Reviewer's location.
• date: Timestamp of the review.
• locale: Language/locale code.
• product_name: Name of the product.
• actor_id and run_id: Metadata for tracking the Actor run.

Data is structured for easy parsing and integration into databases or analytics platforms.

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!