Amazon Reviews Scraper

[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.

liveasyncunknown~30s typical

ecommerceseo toolsaiamazonreviews

$0.00003

per result + $0.005 call

plus $0.001 platform fee per run

Actor charges $0.00002 per result; Cracked adds 25% plus a $0.005 call fee

Bring your own Apify Store key: provider portion drops to $0.

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run apify /web_wanderer/amazon-reviews-extractor for me.

Input

Field	Type	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	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: B07MVJZQTC
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)	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)	Select domain default "amazon.com"
language	string (all \| en \| es \| fr \| de \| pt)	Filter reviews based on review language default "all"

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -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"],"limit":3},"wait":false}'

poll

curl "https://cracked-ai-pearl.vercel.app/v1/runs/<runId>?wait=30" -H "Authorization: Bearer ck_live_..."

cli

npx cracked-ai run -p apify -e /web_wanderer/amazon-reviews-extractor -i '{"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"],"limit":3}' -w 120

mcp

run_tool({ 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"],"limit":3}, wait: false })

Try it

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