Amazon Scout
field office · v1
live · scouting ~9,800 products / hour

Any Amazon URL,
spreadsheet by lunch.

Drop a subcategory, a product page, or a /Best-Sellers list — pick a budget, get a clean CSV. Name, price, rating, reviews, rank, image. Across .com, .co.uk, .de, .fr, .es, and .it.

Cancel any time≈30s per 1,000 productsCSV · JSON · webhook · MCP · x402
FIELD-1 / amazon.com / Electronics > Monitorsscout · /api/scrapeASIN B01QOJX$19.004.1(800)ASIN B01QP0X$26.004.7(1,013)ASIN B01QPHX$33.004.6(1,226)ASIN B01QPYX$40.004.5(1,439)ASIN B01QQFX$47.004.4(1,652)ASIN B01QQWX$54.004.3(1,865)ASIN B01QRDX$61.004.2(2,078)ASIN B01QRUX$68.004.1(2,291)ASIN B01QSBX$75.004.7(2,504)$ scout fetch --pretty
amazon.comamazon.co.ukamazon.deamazon.framazon.esamazon.itamazon.caamazon.com.auamazon.co.jpamazon.inamazon.com.mxamazon.nlamazon.comamazon.co.ukamazon.deamazon.framazon.esamazon.itamazon.caamazon.com.auamazon.co.jpamazon.inamazon.com.mxamazon.nl
how it works

From URL to spreadsheet, before the kettle boils.

The scout takes the page, walks every listing, normalizes every row, and hands you back a file your tooling already knows what to do with.

  1. step01
    Drop an Amazon URL

    Subcategory, product page, or /Best-Sellers list. Paste one or paste fifty.

  2. step02
    Set the budget

    How many products. Whether to enrich with offers / sellers. We tell you the price.

  3. step03
    Get a clean dataset

    Normalized JSON + CSV. Watch the job, fire a webhook, or pull it from the dashboard.

field kit

Everything a scout needs.

Built for category research, competitor watch, dropshipping discovery, and dataset operators who feed dashboards. Not built for spam, not built for drama.

Any URL is the input

Drop a subcategory, a product page, or a /Best-Sellers list. The scout figures out the rest — paginates, deduplicates, normalizes.

Title · price · rating · rank

ASIN, brand, price, list price, rating, reviews count, BSR, category breadcrumbs, thumbnails. Every row in the same shape across every domain.

Six marketplaces, same schema

amazon.com · co.uk · de · fr · es · it (and the long-tail TLDs). One CSV per job. Domain stamped on every row.

Bestsellers, on tap

Top-100 across any /Best-Sellers list. Run the same list weekly and diff the deltas. Watch a category breathe.

Async or pay-per-call

Subscribers get a queue and webhooks. Agents and one-off scripts can hit /api/x402/scrape and pay in USDC. No account needed for that path.

Cancel any time

No setup, no seats, no surprise overages. You buy product credits — by the month, by the year, or one-time pack. Unused renews credits don't roll, but unused packs never expire.

use cases

Built for people who want to look at the marketplace, not log into it.

Category intelligence

Watch how a subcategory breathes — pricing shifts, new entrants, review-velocity spikes. Pull the same URL weekly and diff.

Competitor watch

Track a competitor's product page and variants. Get notified when pricing or buy-box changes.

Dropshipping discovery

Mine bestsellers across .com, .co.uk, .de — find products that win in one marketplace and haven't crossed yet.

Dataset operators

Sell to retailers, ad agencies, analysts. The schema is stable across domains so your downstream pipelines don't care which marketplace.

for agents & developers

REST. MCP. Webhooks. Pay-per-call USDC.

Subscribers get a REST API with bearer-token auth and a native MCP server that drops into Cursor, Claude, ChatGPT, or the AI SDK. One-off scripts and agents can hit our x402 endpoint and pay per call — same data, same schema, no signup.

MCP
Cursor · Claude · ChatGPT · AI SDK
REST
Bearer token + webhooks, CSV/JSON
x402
USDC on Base, no account
UI
Point-and-click dashboard
# Submit a job (REST, async)
curl -X POST https://amazon-scout.0p.studio/api/scrape \
  -H "Authorization: Bearer asc_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "kind": "products",
    "urls": [
      "https://www.amazon.com/s?i=specialty-aps&bbn=16225007011&rh=n%3A1292115011"
    ],
    "max_products": 1000,
    "include_offers": true
  }'

# → { "ok": true, "job_id": "01HXC...8K", "credits_reserved": 1300, ... }
pricing

Pay for products. Not seats, not setup, not surprises.

Every plan ships the same scraper, the same schema, the same exports. The only thing that changes is your monthly product budget and a couple of API conveniences.

Starter
$49
/month · $490/yr

Test a category, sanity-check a niche, ship one report.

2,000products / month
  • 2,000 products / month
  • Subcategory + product URL scraping
  • Bestseller top-100 across .com / .co.uk / .de / .fr / .es / .it
  • CSV + JSON exports
  • 1 concurrent scrape
  • Email support
Most popular
Growth
$199
/month · $1,990/yr

Weekly category sweeps, competitor tracking, BSR deltas.

10,000products / month
  • 10,000 products / month
  • Everything in Starter
  • Offers + buy-box + delivery info
  • REST API + MCP server access
  • Webhooks on job completion
  • Saved searches + scheduled runs
  • 3 concurrent scrapes
Scale
$599
/month · $5,990/yr

Agencies, dataset operators, full marketplace intelligence.

50,000products / month
  • 50,000 products / month
  • Everything in Growth
  • Seller details + storefront enrichment
  • REST + MCP + x402 pay-per-call
  • Bulk job submission
  • Priority support + SLA
  • 10 concurrent scrapes
one-time credit packs
Pay once, scout on demand.
For the one-off report. Credits never expire.
1 credit = 1 product = $0.03
1,000
products
$29

One report, one niche.

5,000
products
$129

A medium-sized category sweep.

10,000
products
$239

Multi-category or full bestsellers.

x402 · pay-per-call
For agents and one-off scripts.

Hit /api/x402/scrape, pay 0.030 USDC per product on Base. No account.

Read the x402 docs →
enterprise
Need 250k+ products/month?

Volume discount, dedicated worker pool, single-tenant queue, SLA. Tell us what you're trying to do — we'll write you a number back.

Talk to a human →
questions

Sensible questions, plain answers.

Is this allowed? Is scraping Amazon legal?
+

We extract publicly available product information from publicly accessible Amazon URLs. Scraping public web data has been repeatedly affirmed in US case law (hiQ v. LinkedIn). We do not bypass paywalls, we do not log into accounts, we do not handle restricted data. Use the data per your local laws and Amazon's terms.

Which Amazon marketplaces are supported?
+

.com, .co.uk, .de, .fr, .es, .it are first-class — they ship with stable schema across product, category, and bestsellers paths. .ca / .com.au / .co.jp / .in / .com.mx are supported as best-effort: pricing and review counts come through reliably; some long-tail fields may be sparse.

What does a 'product' cost?
+

1 credit = 1 product = $0.025 at the base subscription rate. Offers / variants add $0.0075 per product. Seller details add $0.0075 per product. We charge for what we return — partial jobs only spend the credits for rows we actually delivered.

How fresh is the data?
+

Every job is a live crawl. There is no cache layer between you and the marketplace. The page you see at 3:14pm is the page we return at 3:14pm.

Do you offer a free plan?
+

No. We pass through real upstream cost, and free tiers attract the kind of usage that ruins everyone else's queue. The smallest paid pack is $29 for 1,000 products — buy it once and stop.

Can I cancel mid-month? Do credits roll over?
+

Cancel any time from the dashboard. Subscription credits do not roll month-to-month (or you'd never renew). One-time credit packs never expire.

Webhooks?
+

Growth and Scale tiers can pass a webhook_url on each job. We POST a small JSON body on completion. Signature verification arrives in v0.2.

What about agents?
+

Two paths. Subscribers get a native MCP server at /api/mcp — drop it into Cursor / Claude / ChatGPT and the agent can scrape and poll without any glue. Non-subscribers (or one-off scripts) can hit /api/x402/scrape and pay per request in USDC on Base.

The scout is waiting.

Drop a URL. Pick a number. Get a file. Amazon Scout doesn't waste your time and doesn't waste your budget.