What do the reviews really say about this Amazon product?

Q: What do the reviews really say about this Amazon product?

the rating spread is already inside the reviews pull the one-star reviews for with apify on monid, filtered to one star, and leave the page count alone unless you need more: it defaults to one page of ten and asking for two doubles the bill. this endpoint bills per review whatever its schema says two pages is not a cap: the default is one page of ten reviews at $0.0135; asking for two pages billed $0.027, exactly double, so the page-count clause spends money rather than saving it what it would have cost: $2.72 to pull all 2,014 reviews on this one product the filter is the point: one-star, filtered, is not a sample: it is the whole complaint set, and one page of it is the default the schema is wrong about the price: inspect says one result is returned per input query and that there is no result limit, and both are false: one query returned twenty results and twenty billed units. Trust the run's cost over the schema here free extra: every review carries the product-wide rating spread, so that job needs no second call

Amazon APIs — Monid

What goes wrong with this product

Say this to your agent

>pull the one-star reviews for <asin> with apify on monid, filtered to one star, and leave the page count alone unless you need more: it defaults to one page of ten and asking for two doubles the bill. this endpoint bills per review whatever its schema says

What the agent runsdone

apify /axesso_data/amazon-reviews-scraper$0.00135 / review

apify /web_wanderer/amazon-reviews-extractor · not run$0.00135 / review

apify /delicious_zebu/amazon-product-details-scraper · not run$0.00375 / result

mrscraper /amazon/product$0.05

What came backone product · 2026-09-24

What a review pull costsUS dollars

20 one-stars$0.027

1,000 reviews$1.35

all 2,014$2.72

two pages is not a capthe default is one page of ten reviews at $0.0135; asking for two pages billed $0.027, exactly double, so the page-count clause spends money rather than saving it

what it would have cost$2.72 to pull all 2,014 reviews on this one product

the filter is the pointone-star, filtered, is not a sample: it is the whole complaint set, and one page of it is the default

the schema is wrong about the priceinspect says one result is returned per input query and that there is no result limit, and both are false: one query returned twenty results and twenty billed units. Trust the run's cost over the schema here

free extraevery review carries the product-wide rating spread, so that job needs no second call

$0.02720 reviews at $0.00135

How the ratings actually split

Say this to your agent

>from those reviews, give me the rating distribution and tell me what share of buyers are unhappy. it is already in the response you paid for

What the agent runsdone

apify /axesso_data/amazon-reviews-scraper$0.00135 / review

mrscraper /amazon/product$0.05

What came backone product · 2026-09-24

Where the 239,000 ratings sitshare of ratings

five star73%

four star11%

one star8%

three star5%

two star3%

the headline4.4 stars across 239,000 ratings, which reads as a safe buy

the tail8% one-star is roughly 19,000 people, which is a large absolute number

why it mattersthe average hides a specific failure that the one-star reviews name precisely

what the field is calledit is a review summary rather than anything named distribution, it gives percentages rather than counts, and it is repeated on every row, so an agent mapping rows to reviews drops it without noticing

the drifttwo sources nine days apart disagreed by 81 ratings, so treat the count as a snapshot

$0.00already in the reviews

Is it actually selling

Say this to your agent

>get the product detail for the amazon URL of <asin> with mrscraper on monid: price, rating and badges. it takes a url rather than an asin, it is a flat $0.05 however big the response, and it answers with a download link you have to fetch separately within the hour. do not count on a bestseller rank: on a second product there was none anywhere in the payload

What the agent runsdone

mrscraper /amazon/product$0.05

apify /delicious_zebu/amazon-product-details-scraper$0.00375 / result

apify /axesso_data/amazon-search-scraper$0.00015 / result

What came backone product · 2026-09-24

the ranknumber one in its own category and number 22 in the whole department

the price$8.88 against a $16.99 list price, with a choice badge and 20,000 bought last month

the failurethe cheaper actor that promises bestseller ranks returned an empty array twice, and billed nothing

the rank is not always thereon a second product there was no rank key, no bestsellers row in the technical details, and the phrase did not appear in two million characters of raw html; the best-seller field there is a badge boolean, not a rank

and it is a link, not a payloadthe response is a download link with about an hour to live, so saving the run to a file saves a few hundred bytes of pointer rather than the 2 MB of data

the sizethe flat $0.05 bought a 3.3 MB response, most of it raw html you will not read

$0.05flat, per product

Rank the complaints

Say this to your agent

>from the one-star reviews you already pulled, rank the complaint themes by how many reviews mention each one, and tell me what order they were sorted in. the sort defaults to most recent, so this ranks recent complaints rather than common ones unless you set it. do not call anything again

What the agent runsdone

apify /axesso_data/amazon-reviews-scraper$0.00135 / review

typesafe /judge · not run$0.042

What came backone product · 2026-09-24

What the one-stars actually sayshare of 20 reviews

motor dies65%

falls apart20%

underpowered15%

arrived bad5%

warranty5%

the root cause13 of 20 one-star reviews describe the motor failing within one to six months of light use

the restparts detaching, weak from new, damaged on arrival, and a warranty that still charges return postage

what it costnothing: this is counting themes in text you already bought

the reada 4.4-star product with one specific, predictable failure is a different purchase than a 4.4-star product without one

$0.00computed, not called

What it is competing against

Say this to your agent

>search <keyword> on amazon with apify on monid and give me the rows with price, rating and review count, flagging any row whose price came back as zero. do not loop a detail endpoint over the results: the dearest is 333x the per-row price and even the cheapest is 25x

What the agent runsdone

apify /axesso_data/amazon-search-scraper$0.00015 / result

apify /delicious_zebu/amazon-product-details-scraper · not run$0.00375 / result

mrscraper /amazon/product · not run$0.05

litescrape /google/shopping · not run$0.00015

What came backone product · 2026-09-24

48 competitors, three waysUS dollars

search rows$0.0072

detail loop$0.18

product loop$2.40

the table48 competing products with price, list price, rating, review count and the sponsored flag

the price per rowabout $0.00015, which makes a whole category cheap to survey

not every row has a priceon a second keyword two of sixteen rows came back with a price of zero and were billed like the rest, so the promise of a price per row is about seven eighths true

the wrong waythe same 48 rows built one product at a time is $0.18 at best and $2.40 at worst

the gotchathe category filter was accepted, ignored, and billed: the results came back unscoped

$0.007248 rows at $0.00015

Amazon

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What goes wrong with this product

How the ratings actually split

Is it actually selling

Rank the complaints

What it is competing against

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