Helium 10 Alternative — Amazon Opportunity Research
Pricing
from $120.00 / 1,000 research results
Helium 10 Alternative — Amazon Opportunity Research
Turn a public Amazon keyword search into source-linked product comparison rows with price, ratings, reviews, sponsored status, and transparent opportunity signals.
Pricing
from $120.00 / 1,000 research results
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Khadin Akbar
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3 days ago
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Turn one public Amazon.com keyword search into a compact, source-linked comparison set. Each returned product row includes its observed ASIN, title, price, rating, review count, visible sponsored label, position when available, source URL, and collection time. It also includes transparent opportunity signals computed from those observed fields.
Best fit for this Actor
Use it when you need a repeatable public Amazon listing comparison for one product phrase and want the result as structured JSON. It is useful for an early product-niche review, a competitive snapshot, or a research queue.
Choose Helium 10 when the requested next step needs sales estimates, profit or FBA-fee calculations, keyword search volume or ranking history, listing optimization, Amazon advertising, Seller Central data, or team dashboards. For product-page detail enrichment after this comparison, continue with Amazon Product Scraper.
How this public-listing workflow compares with Helium 10
| Decision point | This Actor | Helium 10 |
|---|---|---|
| Bounded job | Collect a public keyword-search comparison set. | Broader product-research and seller workflow suite. |
| Starting point | One product phrase and storefront. | Product research with additional seller tools. |
| Output | Source-linked JSON listings and explicit scope notes. | Broader research and dashboard workflows. |
| Predictive data | Public-listing comparison signals based on visible listing fields. | Its official product-research page describes sales estimates, FBA fees, demand, and competitor performance. |
| Billing and same-job cost | Pay per event per validated row plus platform usage; a final-build same-job measurement is pending. | Subscription plans; no one-search allocation is assumed. |
| Effective efficiency | A final-build elapsed-time and usable-row measurement is pending. | No equal-workload timing comparison is claimed. |
| Integration and automation | Intended for Apify API and schedule workflows after live verification. | Broader suite and MCP offerings are documented by Helium 10. |
| Best choice | A one-off public-data comparison that can enter an API workflow. | Ongoing seller operations or any predictive/connected-account requirement. |
Helium 10 is a trademark of its owner. This independent Actor is not affiliated, associated, or endorsed by Helium 10.
From a product phrase to a research shortlist
For portable blender on Amazon US, the workflow starts with a small 10-product sample. Then compare public price, rating, review count, sponsored label, and observed position. Treat a research-further band as a prompt to inspect the source page and gather independent evidence before a product decision.
The score is deliberately transparent:
- Lower-than-median visible review counts can increase the score.
- Lower visible ratings can increase the score because they may justify qualitative review research.
- Visible sponsored status and first-page position can reduce the score.
- Price is only used as a simple observed comparison band.
The score preserves a public-listing scope: visible price, rating, reviews, sponsorship, and position inform the comparison.
Quick start
{"searchQuery": "portable blender","marketplace": "US","maxResults": 10,"includeSponsored": true}
Run through the Apify API after deployment:
curl "https://api.apify.com/v2/acts/khadinakbar~helium10-alternative/runs" \-H "Authorization: Bearer $APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"searchQuery":"portable blender","marketplace":"US","maxResults":10,"includeSponsored":true}'
What one result contains
| Field | Meaning |
|---|---|
sourceUrl | Public Amazon listing URL used as provenance. |
reviewCount | Displayed review count when Amazon provides it. |
isSponsored | Visible sponsored label on the search card. |
opportunity | Transparent, non-predictive comparison signals. |
collectedAt | ISO collection timestamp for freshness. |
{"asin": "B0D1ABCD23","title": "Example Portable Blender","sourceUrl": "https://www.amazon.com/dp/B0D1ABCD23","searchQuery": "portable blender","marketplace": "www.amazon.com","position": 12,"isSponsored": false,"price": 34.99,"currency": "$","rating": 4.1,"reviewCount": 20,"opportunity": {"score": 78,"band": "research-further","signals": ["review count is below half of this search set median"],"limitations": ["not a sales or profit estimate"]},"collectedAt": "2026-08-31T12:00:00.000Z"}
position, price, rating, and reviewCount can be null when Amazon does not visibly supply a field. The source URL and collection time make the evidence auditable.
Data source, pricing and limits
Amazon Merchant results are retrieved through an owner-managed DataForSEO account. ScrapeCreators, SociaVault, and HarvestAPI are deliberately not used here: their configured coverage does not provide the Amazon product-search result fields this workflow requires. No caller credentials or cookies are needed.
Pricing is Pay per event: $0.00005 for Actor start and $0.12 per validated persisted research result, plus Apify platform usage. maxResults is the event-charge ceiling for the run; a 10-result run has a maximum $1.20 result-event charge before platform usage. Provider request cost is recorded in RUN_SUMMARY; final deployed-build run records and the live Pricing tab are the source of truth for economics.
Use with an AI agent through Apify MCP
Compare public Amazon US listings for
portable blender. Return 10 source-linked rows with price, rating, reviews, sponsored label, source URL, collection time, and the scope notes for the opportunity score. Keep the output in scope and use dataset readback for additional rows.
For a complete request, provide a product phrase and storefront. Sales, fees, keyword volume, Seller Central data, and listing changes belong in tools designed for those workflows. A valid public result set returns COMPLETE or VALID_EMPTY, while an unavailable source is identified as UPSTREAM_FAILED.
Best results, responsible use, and freshness
Start with a specific buyer phrase and a small result cap, then validate source URLs before making any inventory or launch decision. This Actor reads public Amazon search-listing data and preserves source-route diagnostics. Collection time describes one observed snapshot; repeat scheduled runs create a buyer-owned comparison history. Use output in line with Amazon's terms and applicable law.
Focused standalone workflow
This Actor is designed as a focused standalone workflow for a single public-listing comparison. Pair it with the Amazon Product Scraper only after the shortlist identifies ASINs that need product-page detail.
Builder's note
I designed this Actor around observable evidence: public Amazon search cards provide a useful comparison step through visible source URLs, explicit freshness, and clear score scope that an agent can preserve.
Evidence and verification
The comparison dossier in ALTERNATIVE_ACTOR_DOSSIER.json records the bounded scope and current official Helium 10 product/pricing sources. Private cloud validation, charge readback, hosted-MCP evaluation, and a final-build 20-case acceptance matrix are pending before any readiness or price-efficiency claim.