What is Pangolinfo's core positioning and goal?

Pangolinfo is a global data insight tool dedicated to driving e-commerce business growth by providing high-quality data scraping and intelligent analysis capabilities for cross-border e-commerce and data-driven enterprises. It serves developers, ecommerce teams, and AI agents with live Amazon data infrastructure.

How does Pangolinfo compare to generic scrapers and seller tools?

Pangolinfo delivers 90%+ sponsored ad detection with validation and Amazon-native parsing of 100% fields, while generic scrapers return flawed data with only 50% ad detection. Unlike seller tools with T+1 delay and 3-page search limits, Pangolinfo provides second-level fetch speed and page 7+ depth with original page data rather than processed metrics.

What are the main customer types for Pangolinfo?

Pangolinfo serves five main types of data-driven organizations: e-commerce sellers and brands for product research and competitor monitoring, ad and marketing agencies for keyword tracking and ROI improvement, data and tech service providers integrating APIs into their products, research and consulting firms acquiring primary market data, and AI researchers and agent developers gathering high-quality data for LLM training and AI workflows.

Can I test Pangolinfo before paying?

Yes. The Free plan includes 60 Credits every month with no credit card required. You can test against real Amazon data with a real ASIN, keyword, or page before choosing a paid plan that fits your needs.

What are Credits and how do they work across different APIs?

Credits are the common billing unit for all Pangolinfo services. Different APIs use different Credit rates: Amazon Scraper API structured parsing costs 1 credit per page, raw HTML costs 0.75 credits, Amazon Review costs 5 credits per page, AMZ Niche Data costs 2 credits per page, and AMZ Tracker costs 1.5 credits per page. Credits are valid only for the current billing month and unused credits automatically expire.

Web scraping & data APIs

Pangolinfo

Real-time Amazon data APIs and AI-ready skills for e-commerce teams and AI agents

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0community votes
26DR by Ahrefs no change since last check
2022founded

Ahrefs Domain Rating listed 6 Nov 2026, relisted 2 Nov 2026.

Pangolinfo provides live Amazon data through REST APIs, MCP servers, and AI skills. It delivers product, review, seller, and search data for market research

What it is

Pangolinfo: the homepage

Pangolinfo is a data infrastructure platform that turns continuously changing Amazon pages into structured, production-ready data. It serves developers, e-commerce teams, and AI agents with live Amazon product details, search rankings, reviews, seller information, and category data through multiple interfaces: REST APIs for applications and data pipelines, MCP servers for AI agents, AI skills for natural-language analysis, and a no-code tracker for team monitoring. The platform handles proxies, CAPTCHAs, dynamic rendering, and parsing automatically, delivering data with 99% success rate and 90%+ sponsored ad detection accuracy. Users can integrate live Amazon data in minutes without building or maintaining their own scraping infrastructure.

Listed capabilities

Live page responses with 3-second lightning response time
90%+ sponsored ad detection accuracy
Amazon-native parsing with 100% fields coverage
24-hour continuous data validation
100+ concurrency support
Automatic proxy and CAPTCHA handling
MCP-compatible with Claude, Cursor, Dify
Global geo-targeting and multi-marketplace support
30M+ daily API requests processed
Access to Review and Alexa data

Pricing

Pricing model: Freemium

Free plan: 60 Credits/month. Paid plans: Starter $19 (9.6k Credits), Professional $99 (60k Credits), Expert $369 (240k Credits), Enterprise custom pricing. 20% discount with annual billing. Individual API calls: Amazon Scraper 1 Credit/page, Amazon Review 5 Credits/page, AMZ Niche Data 2 Credits/pag

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Pangolinfo metrics

Listed metrics for pangolinfo.com: Ahrefs Domain Rating and Majestic links, with the change since the list was last updated.
Metric	Value
Domain Rating	26 no change since last check
Trust Flow	5 no change since last check
Citation Flow	34 no change since last check
Referring domains	154 no change since last check
External backlinks	1,212 no change since last check

Ahrefs Domain Rating listed 6 Nov 2026, relisted 2 Nov 2026. Listed under topic: Recreation/Pets (5). Majestic listed 2 Nov 2026, relisted 2 Nov 2026. Link data listed by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Pangolinfo domain listing data

Show the listing data

Checked 6 Nov 2026, 05:04 UTC against the registry's public RDAP data.
Domain age	3 years
Registered	14 Jun 2023
Expires	14 Jun 2029
Registrar	Cloudflare, Inc.
DNSSEC	Not signed

Full list of pangolinfo.com's details

Pangolinfo launch receipt entry

What we have measured for Pangolinfo since it went live on SaaS Directory List on 2 November 2026.
Measure	At launch, then latest
Domain Rating (Ahrefs)	26 to 26 no change since launch 2 Nov 2026, then 5 Nov 2026
Trust Flow (Majestic)	5 first measured 2 Nov 2026
Referring domains (Majestic)	154 first measured 2 Nov 2026

Day 4 since launch. Next receipt: day 30, 2 Dec 2026. We show what changed, not what caused it: many things affect these numbers. Nothing here is estimated.

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Quick answers

What is Pangolinfo's core positioning and goal?
Pangolinfo is a global data insight tool dedicated to driving e-commerce business growth by providing high-quality data scraping and intelligent analysis capabilities for cross-border e-commerce and data-driven enterprises. It serves developers, ecommerce teams, and AI agents with live Amazon data infrastructure.
How does Pangolinfo compare to generic scrapers and seller tools?
Pangolinfo delivers 90%+ sponsored ad detection with validation and Amazon-native parsing of 100% fields, while generic scrapers return flawed data with only 50% ad detection. Unlike seller tools with T+1 delay and 3-page search limits, Pangolinfo provides second-level fetch speed and page 7+ depth with original page data rather than processed metrics.
What are the main customer types for Pangolinfo?
Pangolinfo serves five main types of data-driven organizations: e-commerce sellers and brands for product research and competitor monitoring, ad and marketing agencies for keyword tracking and ROI improvement, data and tech service providers integrating APIs into their products, research and consulting firms acquiring primary market data, and AI researchers and agent developers gathering high-quality data for LLM training and AI workflows.
Can I test Pangolinfo before paying?
Yes. The Free plan includes 60 Credits every month with no credit card required. You can test against real Amazon data with a real ASIN, keyword, or page before choosing a paid plan that fits your needs.
What are Credits and how do they work across different APIs?
Credits are the common billing unit for all Pangolinfo services. Different APIs use different Credit rates: Amazon Scraper API structured parsing costs 1 credit per page, raw HTML costs 0.75 credits, Amazon Review costs 5 credits per page, AMZ Niche Data costs 2 credits per page, and AMZ Tracker costs 1.5 credits per page. Credits are valid only for the current billing month and unused credits automatically expire.

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