Amazon Product Research Tool — Jungle Scout Alternative

Research Amazon products by keyword with price and review-count filters. Export ASINs, titles, prices, ratings, review counts, available BSR, and transparent opportunity scores from current listing observations. For Amazon sellers, each dataset record is one observed product listing with the metrics used by its opportunity score.

Workflow: put the results to work

Search a focused product niche, then filter the current listing set by price and review count. Inspect the observed product metrics before interpreting the heuristic opportunity score. The score summarizes visible signals rather than predicting sales or replacing historical sales data.

Best fit and routing

Choose this Actor when a workflow needs a current Amazon listing sample for one keyword and marketplace. Start with a specific product phrase, apply the price or review filters, and pass the source-linked rows into your own margin check, catalog, or review workflow. The result is a focused data-collection step that works well alongside a broader seller suite.

Workflow story

A seller starts with a phrase such as insulated water bottle, then selects the Amazon marketplace and a useful price or review band. The Actor collects one fresh results page, normalizes each usable listing, and writes the rows with a source URL and collection time. Next, the seller exports the dataset for manual margin validation or feeds it into an authorized product-screening workflow.

Quick start input

{
  "searchQuery": "insulated water bottle",
  "marketplace": "US",
  "maxResults": 20,
  "minPrice": 15,
  "maxPrice": 50,
  "maxReviewCount": 500
}

Output and data contract

One dataset row represents one current Amazon listing returned by the selected marketplace. Unavailable listing fields stay explicit null, while source, productUrl, and collectedAt preserve provenance for downstream review.

Field	Type	Meaning
asin	string	Amazon Standard Identification Number.
title	string	Current listing title.
brand	string or null	Brand when the provider exposes it.
price / currency	number / string or null	Current listed price and detected currency.
rating / reviewCount	number or null	Current rating and review count when available.
opportunityScore	number or null	Transparent ordering signal from observed price, rating, and review count.
scoreConfidence / scoreSignals	string / string[]	Signal coverage and the inputs used by the score.
marketplace	string	Amazon storefront domain used for the query.
productUrl / collectedAt	string	Source listing URL and collection timestamp.
source	string	serpapi-amazon-search provenance label.

{
  "asin": "B0D2W1MKZX",
  "title": "Fijinhom Insulated Water Bottle with Handle",
  "brand": null,
  "price": 14.99,
  "currency": "USD",
  "rating": 4.4,
  "reviewCount": 1700,
  "bsrRank": null,
  "marketplace": "amazon.com",
  "productUrl": "https://www.amazon.com/dp/B0D2W1MKZX/",
  "collectedAt": "2026-08-31T07:38:39.067Z",
  "opportunityScore": 35,
  "scoreConfidence": "high",
  "scoreSignals": ["review-count:1700", "price:14.99", "rating:4.4"],
  "scoreLimitations": "A transparent heuristic from current listed price, rating, and review count when available. It is not a sales, demand, revenue, or profitability estimate.",
  "source": "serpapi-amazon-search"
}

How this alternative compares with Jungle Scout

Review the Pricing tab for current event rates. Total run cost includes the events actually charged and Apify platform usage; any separately billed provider access is described in the input and data-access guidance.

Decision	This Actor	Jungle Scout	Routing
Scope and workflow	One fresh Amazon keyword report with source-linked listing rows.	Broader seller and product-research suite.	Choose the bounded report for a focused collection step.
Billing and same-job cost	Pay per event plus platform usage; see the Pricing tab for current rates.	Membership-plan pricing with wider tool access.	Compare report volume and the rest of the workflow together.
Effective efficiency	One provider request per report, a predictable 48-listing ceiling, and machine-readable terminal records.	Suite workflows cover more jobs but involve broader product navigation.	Use the route that minimizes operator steps for the decision at hand.
Input friction	Keyword, marketplace, and bounded price or review filters.	Account and membership workflow across its tools.	Start here for a direct API-shaped request.
Output contract	JSON rows retain ASIN, source URL, collection time, and explicit nulls.	Dashboard and historical outputs for broader research workflows.	Export this dataset when structured rows are the next step.
Integrations and automation	Apify API, datasets, OUTPUT, RUN_SUMMARY, and Apify MCP access.	Broader integrated membership workflows and plan-dependent API access.	Feed this result into an authorized downstream system.
Freshness and provenance	Each row records the current search source and collection time.	Choose the suite when history and tracking are the next requirement.	Re-run a focused query whenever a fresh snapshot is useful.

Jungle Scout is a trademark of its owner. This independent Actor is not affiliated, associated, or endorsed by Jungle Scout.

Use through the API

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~junglescout-alternative/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQuery":"insulated water bottle","marketplace":"US","maxResults":20,"minPrice":15,"maxPrice":50,"maxReviewCount":500}'

Use with AI agents through Apify MCP

Review the Pricing tab for current event rates. Total run cost includes the events actually charged and Apify platform usage; any separately billed provider access is described in the input and data-access guidance.

An MCP client can read the dataset and OUTPUT / RUN_SUMMARY records after the run. Keep the report scope bounded, validate the terminal outcome, and pass only authorized data into downstream tools.

Best results and freshness

Provide a specific product phrase rather than a broad department label. Start with maxResults 20, then adjust the price and review filters for the decision you are making. Confirm the marketplace before comparing rows across regions, and re-run the same phrase when a current snapshot matters. Pair the dataset with your own product, margin, demand, and launch validation.

Builder's note

I built the direct provider route around one fresh search per report so the billing unit stays predictable. I designed the normalizer to retain explicit nulls and source fields when Amazon exposes fewer signals. I learned that a transparent score is most useful as an ordering aid beside direct listing and margin validation.

Responsible use

Use public or otherwise authorized data, respect applicable laws and site terms, and treat the records as research inputs alongside product, financial, demand, and launch validation.

Pricing and run costs

This Actor uses Pay per event plus Apify platform usage. The Pricing tab lists the current event rates and billing terms.

Event	Billing unit	When it applies
apify-actor-start	Actor Start	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
amazon-research-report	Amazon keyword research report	Charged once after a current Amazon keyword report is completed and saved, including a valid empty report.

Run cost combines the charged events and Apify platform usage. Review the run charge limit and requested result count before starting.

Connect an AI agent

Use the Apify MCP configurator to choose an available client connection. Inspect this Actor’s current input schema and required credentials before running it.

Example agent request

Research Amazon products by keyword with price and review-count filters. Use the inputs I supply, confirm the result limit, and return the available results with their source context and any partial or missing-data outcome.