Description

Extract comprehensive Amazon product reviews effortlessly with this Apify Actor. Gain valuable insights into customer sentiment, ratings, and feedback for market research, competitive analysis, and sentiment tracking....

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Amazon Product Reviews Spider

Introduction

The Amazon Product Reviews Spider is a powerful Apify Actor designed to extract detailed customer reviews from Amazon product pages. It provides comprehensive data on user feedback, ratings, and profiles, enabling businesses and researchers to gain valuable insights into product performance and customer sentiment. This tool streamlines the process of gathering authentic reviews for analysis, competitive intelligence, or content aggregation.

Features

• Comprehensive Review Extraction: Captures full review text, ratings, dates, and reviewer profiles from Amazon product pages.
• High Reliability: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages.
• Fast and Scalable: Optimized for speed, handling multiple URLs efficiently without compromising data quality.
• Structured JSON Output: Delivers clean, machine-readable data ready for integration into databases or analytics tools.
• Flexible Input: Accepts multiple Amazon product URLs for batch processing.
• No Coding Required: User-friendly interface for easy configuration and execution on the Apify platform.
• Ethical Scraping: Adheres to Amazon's terms of service and respects rate limits to avoid disruptions.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of Amazon product page URLs to scrape reviews from. Each URL must be a valid HTTP/HTTPS link to an Amazon product page.	["https://www.amazon.com/Octa-Core-Capable-Processor-GeForce-ANV16-41-R5J0/dp/B0CXY573W9/ref=sr_1_1?crid=2DD2B6XRVQC89&dib=eyJ2IjoiMSJ9.FT9NoLUdDmhLCPw6GyazrVxXQeH0mIVNx1iEaATP8n4DxM4dogeI87GrX8BCUccz6hYTTqmz7dm8w5vRJsQqG2FS-yQuAN4lvvepEuzTzSHZ3nTVPexb1iWsLjTJYlG1zEadC3sW--DkR-ZIW5e6MNn9n1xCDUcVthyODSw928L9brgbN7B27Avjd77uqXiynFd3COBHZrMmO_gGMnO0yUSpdfyRnfoFkrG_QroK4uw.j9FPrLSf-4P0p8rSDuno6fiQ6VDfNlrp_0XiPKwWm3A&dib_tag=se&keywords=acer%2Bnitro%2Bv&qid=1732438203&sprefix=%2Caps%2C411&sr=8-1&th=1"]

Example Usage

To run the Actor, provide input in JSON format. Here's an example input:

{
  "Urls": [
    "https://www.amazon.com/Octa-Core-Capable-Processor-GeForce-ANV16-41-R5J0/dp/B0CXY573W9/ref=sr_1_1?crid=2DD2B6XRVQC89&dib=eyJ2IjoiMSJ9.FT9NoLUdDmhLCPw6GyazrVxXQeH0mIVNx1iEaATP8n4DxM4dogeI87GrX8BCUccz6hYTTqmz7dm8w5vRJsQqG2FS-yQuAN4lvvepEuzTzSHZ3nTVPexb1iWsLjTJYlG1zEadC3sW--DkR-ZIW5e6MNn9n1xCDUcVthyODSw928L9brgbN7B27Avjd77uqXiynFd3COBHZrMmO_gGMnO0yUSpdfyRnfoFkrG_QroK4uw.j9FPrLSf-4P0p8rSDuno6fiQ6VDfNlrp_0XiPKwWm3A&dib_tag=se&keywords=acer%2Bnitro%2Bv&qid=1732438203&sprefix=%2Caps%2C411&sr=8-1&th=1"
  ]
}

The output will be an array of JSON objects, each representing a review. Example output:

[
  {
    "profile_name": "Adrianna Powers",
    "profile_url": "/gp/profile/amzn1.account.AFJR34VBPJW7BGQV3Q5MV2QIGGXA",
    "review_text": "\"This gaming laptop is a beast! The graphics are incredible, and it runs all my favorite games smoothly. The display is vibrant, and the keyboard feels great. It\u2019s very easy to use. Sound quality is great. Plus, it's surprisingly portable. Definitely the best gaming laptop I've ever owned!\"Read more",
    "rating": "5.0 out of 5 stars",
    "review_date": "Reviewed in the United States on November 5, 2025",
    "actor_id": "xfNVuEo086y5eUKlB",
    "run_id": "A3IxL2Ytp5DjSVQe6"
  },
  {
    "profile_name": "Brandon Keener",
    "profile_url": "/gp/profile/amzn1.account.AGUXWEU3XF24Z2DINT2YO3AVHBUQ",
    "review_text": "10/10 works great with school and my cybersecurity degree as well as gaming aspect GTA Modding, Call of Duty, and Fortnite 10/10Recommend Great specifications I absolutely love it works great for me.Read more",
    "rating": "5.0 out of 5 stars",
    "review_date": "Reviewed in the United States on February 18, 2026",
    "actor_id": "xfNVuEo086y5eUKlB",
    "run_id": "A3IxL2Ytp5DjSVQe6"
  },
  {
    "profile_name": "Her Storied Ways",
    "profile_url": "/gp/profile/amzn1.account.AF7IZOQLKEREGQN4MSZIUYVXPEFA",
    "review_text": "\n                    The media could not be loaded.\n                Not the biggest fan of laptops, but with this being my second one, it's impressive for what I use it for (writing and gaming). Battery life is optimal, and of course it depends on what you are doing, but it is decent compared to my old laptop. It does have some weight to it, but nothing I can't handle even while traveling with it. Starts up quickly and I like the way the keys light up when typing.Gaming- It handles my games just fine (Farmville2, SimCity4, Sims4), which, in my opinion, are very graphic intensive games. If you use the keyboard for your games (wasd), they are made to stand out among the other keys, which is nice.It does catch dust and finger prints easily BUT Wipes down nicely to dust and clean. Not disappointed in this product at all. Check out my short video so you can look at it in real time.Read more",
    "rating": "5.0 out of 5 stars",
    "review_date": "Reviewed in the United States on March 3, 2025",
    "actor_id": "xfNVuEo086y5eUKlB",
    "run_id": "A3IxL2Ytp5DjSVQe6"
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends, preferences, and pain points in product categories.
• Competitive Intelligence: Compare reviews across similar products to benchmark performance and pricing strategies.
• Sentiment Analysis: Feed review data into NLP tools to gauge overall customer satisfaction and brand perception.
• Content Aggregation: Collect reviews for blogs, newsletters, or social media content to engage audiences.
• Academic Research: Gather data for studies on consumer behavior, product reviews, and e-commerce trends.
• Business Automation: Automate monitoring of product reviews for quality control or reputation management.

Installation and Usage

1. Search for "Amazon Product Reviews 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 an array of JSON objects, each containing details from a single review. Key fields include:

• profile_name: The reviewer's name.
• profile_url: Link to the reviewer's Amazon profile.
• review_text: The full text of the review.
• rating: The star rating given by the reviewer.
• review_date: The date and location of the review.
• actor_id and run_id: Metadata for tracking the extraction run.

This structured format ensures easy parsing and integration with other tools.

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!