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Amazon data solutions

Live Amazon data for every growth decision

Use live Amazon marketplace data for product research, price and rank monitoring, customer insight, and grounded AI workflows.

  • No credit card required
  • REST, MCP, Skills & tools
  • Global marketplace coverage
LIVE DATA
goal Find a viable long-tail product niche
DEMANDRising+18%

Search position & BSR movement

COMPETITIONModerate34 ASINs

Top listings and seller density

VOICE OF CUSTOMER3 gapsFound

Repeated unmet review needs

NEW ACTIVITY12launches

New releases in the category

Decision-ready signal set assembledProduct · BSR · Reviews
watch Track price, rank and sponsored position
#3
B0C7NFVS9KOrganic position
↑ 2
SP
Sponsored placementKeyword: portable fan
Page 1
$
Competitor priceZIP 10001
−8%
Fresh changes ready for your workflowRank · Ads · Price
ask Why are customers returning this product?
GROUNDED ANSWER

Most negative feedback clusters around sizing expectations, zipper durability and missing setup guidance.

  • Reviews read
  • Listing checked
  • Evidence linked
First-hand Amazon evidence attachedMCP · Skills · JSON
30M+API calls dailyProduction-scale infrastructure
Page 7+On-demand search depthGo beyond surface-level results
90%+Sponsored detectionSeparate paid from organic signals
20+Amazon marketplacesLocalize by country and delivery area

Trusted by 2000+ enterprise sellers and builders

AfterShip PingPong Apify Aqara SIF LinkFoxAI Jijia ERP NewAim Ai Palette Aosom

From marketplace noise to clear action

Amazon data is useful only when it changes a decision

Pages, rankings, prices and reviews change constantly. Pangolinfo connects those signals into a usable data layer for the teams that need to act on them.

The fragmented workflow

Too many pages. Too little context.

  • Product pages show only the current listing state.
  • Search positions mix organic and sponsored placements.
  • Prices and availability vary by delivery location.
  • Reviews are valuable but difficult to analyze at scale.
Choose a data path
01
DISCOVERDemand & niches
BSR · New releases
02
VALIDATEProducts & sellers
Listings · Offers
03
MONITORMarket movement
Rank · Price · Ads
04
UNDERSTANDCustomer demand
Reviews · Alexa
05
ACTIVATETools & AI workflows
API · MCP · Skills

Choose how you work

One Amazon data foundation. Four ways to use it.

Start with the interface that fits your team. The underlying goal stays the same: current, structured marketplace evidence delivered where decisions happen.

BUILD WITH DATA

Put live Amazon data inside your product

Use structured endpoints for product research, search visibility, reviews, seller intelligence and category discovery. Choose synchronous calls, batch collection or a custom delivery workflow.

  • Clean JSON for apps and analytics
  • Location-aware marketplace requests
  • Built for recurring and high-volume workflows
request.sh
curl -X POST "https://scrapeapi.pangolinfo.com/api/v1/scrape" \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.amazon.com/dp/B0B4NLGCH5",
    "parserName": "amzProductDetail",
    "format": "json",
    "pageCount": 1,
    "bizContext": { "zipcode": "10041" }
  }'
CONNECT YOUR AGENT

Connect AI agents to live Amazon evidence

Connect Pangolinfo to an MCP-compatible workspace so an agent can retrieve current product, ranking, review and seller data while it works.

  • 18 Amazon data tools through one connection
  • Useful for research, enrichment and automation
  • No custom SDK required for supported clients
mcp.json
{
  "mcpServers": {
    "pangolinfo": {
      "type": "http",
      "url": "https://mcp.pangolinfo.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}
ANALYZE WITHOUT CODE

Turn a business question into a grounded report

Use a Pangolinfo Skill when you want the workflow—data retrieval, evidence review and analysis—packaged around a specific seller task.

  • Product and niche research
  • Listing and keyword analysis
  • Evidence stays connected to live data
agent session
You
Analyze the latest real-time scraped data for the
“pet toys” niche. Find blue-ocean opportunities
with low competition, high conversion and
negative-review pain points to improve.

⏺ Pangolinfo AI Skill
✓ live niche and review evidence loaded
→ opportunity report ready
OPERATE WITHOUT BUILDING

Monitor the market in a ready-to-use workspace

Use a purpose-built tool when the job is ongoing monitoring rather than integrating raw data into your own application.

  • Track target ASINs and keywords
  • Watch rank, price and market movement
  • Share repeatable operational views
Market watchUpdated now
Keyword visibilityOrganic and sponsored movement
+12%
Competitor pricingLocation-aware price changes
4 alerts
New releasesFresh category entrants
18 found

Across the Amazon journey

Use current marketplace evidence at every stage

Each workflow combines the data types needed for a decision instead of treating every Amazon page as a separate project.

01

Product & niche research

Validate demand, competitive density and customer gaps before committing inventory.

  • Best Seller Rank
  • New releases
  • Review themes
Explore product research
02

Keyword & ad intelligence

See who is visible, where they rank and which placements are sponsored.

  • Organic rank
  • SP ad position
  • Search depth
Explore keyword monitoring
03

Rank & price monitoring

Detect changes in position, price, Buy Box and availability while they still matter.

  • Price changes
  • Stock signals
  • Seller offers
Explore rank tracking
04

New product detection

Find emerging ASINs and launches across the categories you care about.

  • Category watch
  • Launch timing
  • Seller activity
Explore launch monitoring
05

Reviews & customer insight

Convert ratings and review language into product, listing and service improvements.

  • Verified reviews
  • Rating trends
  • VOC analysis
Explore Review & Alexa data
06
M

AI and data enrichment

Ground agents, seller tools and internal models in current marketplace evidence.

  • Structured JSON
  • MCP tools
  • Custom delivery
Explore Amazon Data MCP

From question to workflow

Collect once. Deliver where your team works.

Pangolinfo manages access, rendering and Amazon-native parsing. You choose the input, delivery method and destination.

  1. 1
    DEFINE THE SIGNAL

    Start with a product, keyword, category or seller

    Use the business object you already know instead of building navigation and parsing logic.

  2. 2
    COLLECT & STRUCTURE

    Let the data layer handle marketplace complexity

    Proxy management, browser rendering, CAPTCHA handling and parser maintenance stay behind the interface.

  3. 3
    ACTIVATE THE OUTPUT

    Send evidence to an app, model or operating workflow

    Receive JSON through an API, connect an agent through MCP, or use a ready-made monitoring tool.

REST JSONAsync & batchWebhooksS3 / GCSMCPAI Skills

Built around Amazon

More than access: data you can actually operate on

General-purpose scraping solves page access. Pangolinfo adds the Amazon-specific structure and validation needed for decisions downstream.

Marketplace understanding Generic selectors and custom parsing Amazon-native data models
Sponsored visibility Paid and organic results can be mixed Sponsored placement detection
Location context Country-level proxy targeting Delivery-area and ZIP context
Ongoing maintenance Your team repairs access and parsers Managed infrastructure and validation
Ways to activate data Raw HTML or a single API format APIs, MCP, Skills, tools and feeds
01

Original marketplace signals

Work from current page evidence rather than delayed, blended estimates.

02

Structured for downstream use

Normalize the data before it reaches dashboards, models and operating teams.

03

Flexible at every stage

Start with a single task and expand into recurring, high-volume collection.

04

Supported by Amazon specialists

Design workflows with a team focused on marketplace data—not every website at once.

Workload planner

Find the right path before choosing a plan

Tell us what you are building and how often the data needs to move. The planner recommends the most suitable Pangolinfo interface.

1. What are you trying to do?
2. How many data requests do you expect each month?
100,000requests / month
1K1M2.5M5M+
3. How should the data arrive?

Customer spotlight

Built into real seller and data workflows

From product selection to AI enrichment, teams use Pangolinfo where freshness and consistency directly affect the result.

AMAZON PPC AUTOMATION
“Their high-concurrency API infrastructure gave our platform a stable foundation and scaled our live data throughput.”
EEzraTech & Integration Lead
CONSUMER INSIGHT PLATFORM
“We expanded multi-market coverage in days while maintaining the data stability our AI models need.”
HHimanshuCTO & Co-Founder
KEYWORD INTELLIGENCE
“Sponsored-ad detection gives our keyword and traffic attribution the precision it needs.”
HHectorCTO at SIF

Questions, answered

What teams ask before they start

Need to validate a specific marketplace, data field or delivery workflow?

Create an account and test free
What is an Amazon data solution?

An Amazon data solution connects marketplace signals—such as listings, prices, rankings, offers, reviews and category activity—to a business workflow. Pangolinfo provides that data through REST APIs, MCP Servers, AI Skills, ready-to-use tools and custom delivery.

How is this page different from the Amazon Scraper API?

This page helps teams choose the right Amazon data workflow across research, monitoring, customer insight and AI. The Amazon Scraper API product page contains the REST product’s endpoints, request examples, fields and commercial details.

What Amazon data can Pangolinfo provide?

Available capabilities include product detail, search position, sponsored placement, Best Seller Rank, new releases, seller and offer information, category data, ratings and reviews. Exact fields depend on the selected product and workflow.

Can data reflect a specific marketplace or delivery location?

Yes. Workflows can target major Amazon marketplaces, and supported requests can include delivery-area or ZIP context so price and availability better reflect the intended location.

Which option is best for an AI agent or LLM workflow?

Use the Amazon Data MCP when an agent should call tools inside an MCP-compatible workspace. Use AI Skills when you want a packaged analysis workflow, or REST APIs when your application manages retrieval and orchestration itself.

Can Pangolinfo support scheduled or high-volume collection?

Yes. Depending on the project, data can be delivered through synchronous requests, asynchronous or batch workflows, webhooks, or cloud storage. Contact the team when the workload requires custom fields, scheduling or enterprise delivery.

How do I start?

Get a free API key to test the data, use the workload planner above to choose an interface, or read the developer documentation. No credit card is required to begin testing.

Start with one decision

Turn live Amazon signals into your next move

Test the data, connect the right interface and build from current marketplace evidence.

No credit card required · Choose APIs, MCP, Skills or ready-to-use tools

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