In short: This online tool will export Amazon reviews about the given products using Amazon API.
Click to view the example data file for a better idea of the output.
⚠️ To launch the Amazon reviews scraper, you will need to provide the products' ASIN codes. These can be found in the ‘Product information’ section on the product’s page on Amazon.com. ⚠️
Watch the video walkthrough that shows how to extract Amazon reviews into an Excel file
Why scrape Amazon reviews?
One of the most demanded Amazon review scraping services, this bot can be used for multiple business-related purposes, such as:
- Improving the assortment of your online shop
- Studying demand and supply
- Analyzing your customers’ preferences
- Generating new leads
This smart Amazon review exporter will grab the following details:
- Rank group
- Rank absolute
- Helpful votes
- User name
- User avatar URL
- Reviews count
- Review text
- Publication date
- Rating value
- Votes count
- Review image
- Review video
How to scrape Amazon product reviews?
- Sign up on Botster
- Go to the bot's start page
- Paste the products' ASIN codes
- Select the number of reviews to scrape (per product)
- Select custom options
- Click the "Start this bot" button
That's it – the bot has started web scraping Amazon reviews!
To export reviews from Amazon, you will need to enter the products’ ASIN codes.
ASIN (Amazon Standard Identification Number) is a ten-digit alphanumeric code that identifies the items sold on Amazon. It's unique for each product.
To find a product’s ASIN, scroll the page down till the ‘Product information’ section. You’ll find ASIN in the table to your left:
1. Open the Launch bot form
Click on the "Start bot" button on the right-hand side of this page to open the Amazon review export bot's form:
2. Enter the details
Give your "Job" a meaningful title, and optionally specify (or create) a project folder:
3. Paste ASINs.
You can enter one or more ASIN codes for the Amazon reviews exporter to process. Each ASIN must go on a new line:
4. Specify the number of reviews to scrape.
The Amazon review extractor can retrieve up to 5000 testimonials about each product during one session:
5. Specify the language code.
6. Specify the Amazon domain.
Selecting a domain when scraping Amazon customer reviews will allow you to specify the country.
Available domain zones include: com (USA, set as default), eg, br, ca, mx, cn, in, jp, sg, ae, sa, fr, de, it, nl, pl, es, se, tr, uk, au.
⚠️ You must enter the whole domain name, e.g. amazon.es ⚠️
7. Specify the Amazon review scraping order.
Set the bot to retrieve either new or helpful reviews first:
8. Select the reviewer type.
Available options include:
- All reviews
- AVP (Amazon Verified Purchase) only
9. Select the number of stars.
10. Select media type.
Specify if you would like the Amazon review data scraper to export only those reviews which contain images or videos about the product:
11. Specify the location.
Select the region where the review authors are supposed to be located:
12. Specify product modifications
Some Amazon products may have two or more product modifications and two or more ASINs. Tick the upper option if you want to scrape user reviews about all existing product modifications.
13. Specify time settings.
Tick the checkbox if you want this bot to run regularly:
Once you’ve ticked the checkbox, the available options will appear. You can set the Amazon review finder to run:
- Every hour
- Every day
- Twice a day
- Once a week
- Twice a week
- Once a month
If no longer needed, the job can be stopped either manually or at a certain date specified in advance:
14. Set up notifications
Specify if you would like to receive a notification when the Amazon review data scraper completes the crawl:
15. Start the bot!
Click the "Start this bot" button on the right-hand side:
That's it! You will be taken to your "Jobs" section. The Amazon review finder is now working and will notify you once it's done.
After the bot has managed to extract Amazon reviews for all the products you’ve specified, you will be able to download your data as an Excel (XLSX), CSV or JSON file.