Amazon Reviews Scraper - online Amazon product review extractor

This pre-defined extractor is designed to scrape detailed information about product Reviews and Ratings for any product from Amazon.com

Review Information includes:
ASIN, Rating, Review Content, Review Date, Review helpful, Review ID, Review Location, No. Of Reviews, Rating, Review Title, Review verified, Reviewer name, Updated, URL

This data could be used for :

• Sentiment analysis
• Product comparison 
• Product research
• Discovering new product opportunities 
• AI/Machine learning training
• Brand Monitoring
• and much more....

 

Easy to use and Free to try

A few mouse clicks and copy/paste is all that it takes!

Steps to use:

Step 1: Click on "use for Free"

Step 2: Assign the Pre-Defined extractor by clicking "Activate" button

Step 3: Enter your starter URLS

Enter List of search URLs or Product  URLs to start the web scraping. 

Please use Amazon Advanced Search to filter your search and copy the start urls

Step 4: Click "Run now"

 

Obtaining the URL from Amazon

Amazon Category pages allows you to search for products that you can filter based on parameters like price, color, style, brands, customer ratings, and other specific features. This scraper allows you to scrape data from Amazon based on your requirements you specify from filtering on the Amazon category page. You can select the filters for the data you need and copy the corresponding URL and then in the Edit PDE view paste that URL in the Starter URL tab

 

 

Video Tutorial on how to scrape Amazon reviews

 

 

For a given Amazon department link the extractor will follow all products which has reviews and save all reviews with associated ASIN. If there are many reviews on Amazon reviews page it follows pagination and find more reviews to save. You can get thousands of reviews for one Amazon product with help of this web scraper.

Amazon the review count could be in the thousands, the extractor can take a while to get all the data. We advice you to run extractor as a scheduled task.

 

{
  'asin': 'B01M8IE530',
  'itemKey': '38a0253e7ec233751f87c97fb54016ed',
  'rating': '4.2 ',
  'review_content': 'I have many pairs of Gardeur trousers and jeans , which ''speaks for itself.  They fit beautifully and can be worn ''with confidence for most occasions.',
  'review_date': '2 March 2020',
  'review_helpful': '',
  'review_id': 'R2MIA3EI1P5ZXW',
  'review_location': 'the United Kingdom',
  'review_rating': '5.0 ',
  'review_title': 'It’s a quality product which one can rely on to look good',
  'review_verified': 'Verified Purchase',
  'reviewer_name': 'patsy',
  'reviews': 35,
  'title': "Women's Inga Straight Jeans",
  'updated': '2020-09-15T10:54:49Z',
  'url': 'https://www.amazon.co.uk/Atelier-GARDEUR-Womens-Straight-Jeans/dp/B01M8IE530'
}

 

The output file might be csv, xml, xlsx, json formats. All reviews will be an item in data files. For example for excel format each review will be 1 row which also includes basic product information like ASIN and link of product.

What does the output data look like?

When it is available this data will have rows which represent a single page's information such as its asin, brand, product_category, product_rating_distribution, product_reviews_number, product_tile, product_url, product_variation, product_rating, review_id, author_name, review_title, review_rating, review_date, review_location, review_content, review_verified, review_helpful, author_link, timestamp, etc from amazon.com.

*** Data below was extracted on Apr 25, 2024 @11:58

Sorry we are unable to show you data for a while. Data would be ready today please visit this page later.