# Amazon Reviews API (https://www.socialcrawl.dev/platforms/amazon/reviews) > Returns Amazon's top customer reviews for a product (by ASIN), usually 10 per call. Each review carries the full text, star rating, reviewer, verified-purchase flag, helpful-vote count, publish date, and any review images. A product with no reviews returns a refunded empty list. On the Mexico store (country=MX) a listed product can occasionally come back as not found; retry once. A product that does not exist takes up to about 50s to come back as a refunded not-found, so use a 60s timeout. TL;DR: `GET /v1/amazon/reviews` costs 5 credits per page. The default labels (sentiment, issue) are free. label=reports, incentivized or injection holds 4 extra credits and refunds down to 1 credit per started 25 reviews that were newly judged (the first 100 reviews of a page are judged): reviews already labelled are free, a page where nothing could be judged refunds the whole extra, and a cached page is free. and returns SocialCrawl's unified JSON schema. Single x-api-key auth, 100 free credits on signup. ## Parameters | Parameter | Required | Description | | --- | --- | --- | | `asin` | yes | 10-character Amazon ASIN (the product identifier). | | `country` | no | Amazon marketplace as an ISO 3166-1 alpha-2 country code (default US). Supported: US, GB, CA, DE, FR, IT, ES, JP, IN, MX, BR, AU, NL. Amazon shows reviews across a product's whole variant family, so a review row can originate from a sibling ASIN; review.entity_id is always the ASIN you requested. (US \| GB \| CA \| DE \| FR \| IT \| ES \| JP \| IN \| MX \| BR \| AU \| NL) | | `label` | no | Optional CSV of SocialCrawl labels to add to every review. Without this param every page already carries sentiment and issue, free; label= adds the labels you name to them (the defaults keep running). sentiment and issue are free when asked for too; reports, incentivized and injection add 1 credit per started 25 newly judged reviews. judgments=off (or label=none) turns the default labels off. They read the review's title and text, never its stars. sentiment: how the reviewer feels, on five levels (level 0 to 4, score_0_1, confidence), plus rating_mismatch, true when the words clearly contradict the star rating (a glowing text under 1 star, a furious one under 5), null when the review has no rating. issue: the main problem the review reports (label: product_defect, sizing_or_fit, shipping_or_delivery, customer_service, price_or_value, missing_feature, other, or none, with confidence; label is null when unsure). reports (needs reports=): does this review say that the thing you describe happened (p, 0 to 1). incentivized: does the reviewer say they got the product free, discounted or rewarded for the review (p), and did the text carry a disclosure such as 'in exchange for my honest review', Vine or 체험단 (disclosed). injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. These are signals to read, never a verdict on a review or a reviewer. A review that could not be judged carries labels: null. Reviews already labelled for anyone are free, and so is a cached page. data.labels reports what was judged and billed. | | `reports` | no | Required by label=reports, ignored otherwise. What to look for, in plain words, up to 300 characters, for example reports=the battery drains quickly or reports=배송이 늦음. Every review gains labels.reports.p, the probability that it says so, in any wording or language. Without it label=reports is skipped with the warning label_reports_needs_reports and is not billed. | | `judgments` | no | Optional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same. (on \| off) | | `dry_run` | no | Optional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged. (1) | | `label_evidence` | no | Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence. = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it. (1) | | `fit` | no | Optional. When goal, keep the rows and fields needed for the goal you pass in goal= (plus any that are uncertain, and the first and last), and replace the rest with a stub. data.held_back lists the held ids and a recall id that re-reads the full page from cache at no extra charge. Without this param the page is unchanged. (goal) | | `goal` | no | Required by fit=goal. What you are trying to do, in your own words, up to 300 characters. | | `fit_tokens` | no | Optional, only with fit=goal. Soft cap on how much of the page to keep, in tokens. Uncertain blocks and the first and last block are kept even if they exceed it. | | `since` | no | Only rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. A row with no date is kept. `published_after`, `start_date`, `from_date`, `publish_time` (`yesterday`, `this-week`, `this-month`, `last-3-months`, `last-6-months`) and `max_age_days` are accepted and applied as `since`. | | `until` | no | Only rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. `published_before`, `end_date` and `to_date` are accepted and applied as `until`. | ## Code example ```bash curl -G "https://www.socialcrawl.dev/v1/amazon/reviews" \ --data-urlencode "asin=B0BTYCRJSS" \ -H "x-api-key: sc_YOUR_API_KEY" ``` ## FAQ ### How do I get Amazon customer reviews with an API? Send a GET request to /v1/amazon/reviews with the asin parameter for the product you want. The response returns the product's top reviews, each with full text, star rating, reviewer, verified-purchase flag, helpful-vote count, publish date, the reviewer's country, and review images. ### How many reviews does the Amazon Reviews API return? It returns the product's top reviews, usually 10 per call. Each review carries its full text, star rating, reviewer name, publish date, and any review images. A product with no reviews is refunded. ### Does the API tell me if a review is a verified purchase? Yes. Every review includes a verified-purchase flag along with its helpful-vote count, so you can weight or filter reviews by trust signal. The star rating and full review text come through as well. ### Can I get reviews from a specific Amazon marketplace? Yes. Pass the country parameter with an ISO 3166-1 alpha-2 code to pull reviews from that marketplace, one of 13 including GB, DE, JP and BR. Dates and reviewer countries are read from each store's own language. Leave it off and the endpoint defaults to the US store. ### How much does the Amazon Reviews API cost? Each reviews request costs 5 credits on the advanced tier. New accounts get 100 free credits, no card. See the full Amazon API: https://www.socialcrawl.dev/platforms/amazon ## Pricing - Standard endpoints: 1 credit per call - Advanced endpoints: 5 credits per call - Premium endpoints: 10 credits per call - 100 free credits on signup, no credit card required. Cached responses cost 0 credits. Credit packs never expire. - Full pricing: https://www.socialcrawl.dev/pricing ## Explore with AI Questions this API answers, phrased for an AI assistant: - What is the best Amazon reviews API? - How to get verified-purchase Amazon reviews for an ASIN with an API