Apify·Amazon

List Amazon Reviews (Extractor)

/web_wanderer/amazon-reviews-extractorasync$0.003 / result

[UPDATED] Scrape Amazon reviews per product! Filter by stars, keywords, media & verified purchases. Extract global reviews (20+ regions). Export JSON/CSV. Perfect for market research & SEO. Runs as an Apify actor (20–120 s); results are dataset rows.

Charged per returned row plus the flat fee.

Input

personal_databoolean
Scrape personal data (e.g., names, emails, identifiers). **GDPR (EU)** and **CCPA (California)** compliance required. Ensure legal justification or user consent. (default false)
productsarrayrequired
The ASINs or URLs of the product you want to retrieve. For example: - Product URL: https://www.amazon.com/Logitech-LIGHTSPEED-Wireless-Gaming-Mouse/product-reviews/B07CMS5Q6P/ref=cm_cr_getr_mb_paging_btm_2?ie=UTF8&reviewerType=all_reviews&pageNumber=2&formatType=current_format - Product ID: B07MVJZQ
limitinteger
Set number of pages to scrape, Amazon limits the number to 10 pages per product which are 100 review max. You can get more by setting Stars (one star, two stars, etc.), changing Variant, and Sort type. (default 20)
sortstring
Select Sort type (default "helpful")
helpful, recent
starsarray
Select the stars you want to scrape. You can select multiple stars
all_starsboolean
Scrape up to 100 review per star (default false)
ratingstring
Select reviews rating. This will filter reviews based on the stars. (default "all")
all, five_star, four_star, three_star, two_star, one_star, positive, critical
keywordsarray
Enter keywords that the review must have.
avp_reviewsboolean
Return only reviews that have the verified purchase badge. (default false)
include_variantsboolean
Whether to return reviews for product variants. (default true)
start_datestring
Inclusive start of date range, format YYYY-MM-DD, e.g. 2025-06-01
end_datestring
Inclusive end of date range, format YYYY-MM-DD, e.g. 2025-06-30
scrape_image_reviewsboolean
Scrape reviews that contain images. (default true)
scrape_video_reviewsboolean
Scrape reviews that contain videos. (default true)
regionstring
Select domain (default "amazon.com")
amazon.com, amazon.ca, amazon.de, amazon.fr, amazon.co.uk, amazon.it, amazon.es, amazon.com.au, …
languagestring
Filter reviews based on review language (default "all")
all, en, es, fr, de, pt, it, nl, …

Field	Type	Required	Description
personal_data	boolean	—	Scrape personal data (e.g., names, emails, identifiers). GDPR (EU) and CCPA (California) compliance required. Ensure legal justification or user consent. (default false)
products	array	yes	The ASINs or URLs of the product you want to retrieve. For example: - Product URL: https://www.amazon.com/Logitech-LIGHTSPEED-Wireless-Gaming-Mouse/product-reviews/B07CMS5Q6P/ref=cm_cr_getr_mb_paging_btm_2?ie=UTF8&reviewerType=all_reviews&pageNumber=2&formatType=current_format - Product ID: B07MVJZQ
limit	integer	—	Set number of pages to scrape, Amazon limits the number to 10 pages per product which are 100 review max. You can get more by setting Stars (one star, two stars, etc.), changing Variant, and Sort type. (default 20)
sort	string (helpful, recent)	—	Select Sort type (default "helpful")
stars	array	—	Select the stars you want to scrape. You can select multiple stars
all_stars	boolean	—	Scrape up to 100 review per star (default false)
rating	string (all, five_star, four_star, three_star, two_star, one_star, positive, critical)	—	Select reviews rating. This will filter reviews based on the stars. (default "all")
keywords	array	—	Enter keywords that the review must have.
avp_reviews	boolean	—	Return only reviews that have the verified purchase badge. (default false)
include_variants	boolean	—	Whether to return reviews for product variants. (default true)
start_date	string	—	Inclusive start of date range, format YYYY-MM-DD, e.g. 2025-06-01
end_date	string	—	Inclusive end of date range, format YYYY-MM-DD, e.g. 2025-06-30
scrape_image_reviews	boolean	—	Scrape reviews that contain images. (default true)
scrape_video_reviews	boolean	—	Scrape reviews that contain videos. (default true)
region	string (amazon.com, amazon.ca, amazon.de, amazon.fr, amazon.co.uk, amazon.it, amazon.es, amazon.com.au, …)	—	Select domain (default "amazon.com")
language	string (all, en, es, fr, de, pt, it, nl, …)	—	Filter reviews based on review language (default "all")

Run it

curl -s https://sooma.dev/v1/run \ -H "Authorization: Bearer $SOOMA_API_KEY" \ -H "Content-Type: application/json" \ -d '{"provider":"apify","endpoint":"/web_wanderer/amazon-reviews-extractor","input":{"products":["https://www.amazon.com/Logitech-LIGHTSPEED-Wireless-Gaming-Mouse/product-reviews/B07CMS5Q6P/ref=cm_cr_getr_mb_paging_btm_2?ie=UTF8&reviewerType=all_reviews&pageNumber=2&formatType=current_format","B07MVJZQTC"]}}'

Or ask your agent: it will call inspect for this schema and run it over MCP.