EXECUTIVE SUMMARY

The 2026 Verdict: Infrastructure vs Solution

The market has bifurcated. Do you want to build a scraping infrastructure, or consume business data?

The Winner for E-Commerce
Pangolinfo Scrape API
The "Solution" approach. Best for teams that prioritize data usage over data acquisition. If you need 96% Sponsored Product ad visibility and do not want to manage a proxy engineering team, this specialized API is the choice.
Ideal for
  • Cross-border sellers & brands: Need product/ad data, not IPs
  • Business-focused teams: Automatic bypass of fingerprints/captchas
  • Cost conscious: Cheaper across all volumes via tiered pricing
View pricing
The Winner for Infrastructure
Bright Data / Oxylabs
The "Infrastructure" approach. Undeniable leaders in global proxy network size. If you are building a custom crawler for diverse targets outside e-commerce and have a dedicated engineering team, their raw power is unmatched.
Ideal for
  • Large engineering teams: Full control over headers/rotation
  • General web scraping: Targets beyond e-commerce
  • Legacy systems: Integrate raw proxies into existing codebases

Positioning & Scope

Bright Data and similar giants excel in network breadth and configurability. Pangolinfo focuses narrowly on e-commerce (Amazon and related) and goes deeper on structured fields. In our tests, 96%+ SP ad visibility is achieved only by Pangolinfo. Proxy-first providers act as infrastructure and still require you to maintain crawlers, bypass captchas, and handle fingerprints. Pangolinfo returns structured JSON with a single request.

When Pangolinfo Fits
  • Focus on e-commerce and Amazon-related data
  • No desire to build/maintain a crawler team
  • Preference to consume structured results and ship faster
When Proxies Fit
  • Broad targets outside e-commerce
  • Need low-level control over sessions and headers
  • Existing scraper codebases expecting raw proxies
Cost Reality

Across all monthly volumes, Pangolinfo is lower priced than peers.

Pangolinfo official pricing

Methodology & Scope

Test Period & Volume
  • Period: 2026 Q1
  • Total Requests: 600,000+
  • Targets: Amazon Product Detail, Search, SP Ads, Seller, Reviews
  • Regions: US, UK, DE, JP
Metrics Definitions
  • Data Return Speed: Median and P95 end-to-end latency
  • Accuracy: Field-level correctness vs. ground truth
  • Capture Rate: Successful structured responses per endpoint
  • Stability: Error rate and retry success
Instrumentation

Uniform client, identical headers, randomized ASIN/keyword sets, consistent backoff-retry policy, balanced time-of-day distribution, and controlled concurrency to reduce vendor-side throttling bias.

Limitations

Results reflect performance during the sampled period. Production outcomes can vary by geography, time, and target-page changes. Pricing references are sourced from official vendor websites and may change due to promotions; always confirm current pricing on each vendor’s website.

CONFIDENTIAL REPORT • 2026 EDITION

Amazon Data Acquisition: Strategic Vendor Assessment

In 2026, the Amazon data landscape has shifted. Traditional scraping methods face unprecedented anti-bot countermeasures. This $300,000 strategic analysis evaluates the top 5 global solutions, focusing on success rates, SP ad visibility, and Total Cost of Ownership (TCO).

Key Finding

While legacy giants like Bright Data remain powerful, the emerging challenger Pangolinfo Scrape API has disrupted the market with a specialized "Dedicated Dynamic Residential" architecture, achieving 96% success in SP Ad scraping at ~20% of the cost of top-tier competitors.

Report Highlights

  • Analysis of 5 Major Vendors
  • SP Ad & Keyword Ranking Tests
  • ROI & Cost-Benefit Modeling
  • Local Support & Customization

The 2026 Vendor Landscape

We evaluated the top 5 solutions across six critical strategic dimensions. Interact with the chart to understand the strengths and weaknesses of each provider.

Select Evaluation Criteria

Top 5 Contenders

  • Pangolinfo (Challenger)
  • Bright Data (Leader)
  • Crawlbase (Alternative)
  • Oxylabs (Proxy Giant)
  • In-House (Custom)

Scale 0-10 (10 = Best Performance/Lowest Cost). Source: 2026 Field Tests.

Operational Depth

Data Coverage

Amazon Sponsored Ads, product details, ratings, sellers and more with high completeness.

Anti-Bot & Fingerprints

Automatic handling of challenges and fingerprints; no manual captcha or rotation logic required.

Integration & Delivery

Single API request returns structured JSON; simplifies pipelines and reduces latency.

SLA & Support

Localized support with fast response; tailored guidance for e-commerce workloads.

Data Coverage & Field Catalog

Pangolinfo provides deep, structured fields across Amazon and broader e-commerce signals. Below is a non-exhaustive catalog of supported fields and datasets.

Core Product Fields
Product Name
Product ID / SKU
Price
Discount Price
Currency
Description
Category
Subcategory
Brand
Inventory Status
Shipping
Images
Customer Rating
Customer Reviews Count
Review Text
Product Dimensions
Weight
Color / Variants
Related Products
Seller Information
Ads & Rankings
  • Sponsored Products visibility, placement, and share
  • Best Sellers Lists (category-level, time-series)
  • New Releases Lists (emerging SKUs)
  • Top Charts and trend snapshots
  • Category Tree, Category Traversal & mapping
Cross-Channel Signals
  • Social Media metrics: mentions, engagement, velocity
  • Search data: query volume trends and external signals
  • Cross-verification between off-site signals and on-site performance
Designed to support product selection, market intelligence, and higher-level operational decisions beyond the Amazon site.

Benchmark Suite

Comparative tests across speed, accuracy, and capture rate under a unified client and request policy (2026 Q1 sample).

Data Return Speed
Compares median vs P95 end-to-end latency
Accuracy
Field-level accuracy: title, price, rating, SP ad detection
Capture Rate
Endpoint capture rate: product, search, SP ads

Performance Benchmarks (Stress Test)

Grouped endpoint benchmarks across providers under high concurrency. Toggle metrics to compare success rate, average latency, and P95 latency on the same endpoint mix.

Endpoints: Product (ASIN), Search (Keyword), Reviews/Q&A, Sponsored Ads. Scale reflects selected metric.
Test Conditions
  • Concurrency: 10,000 in-flight requests (burst + steady)
  • Region focus: US (primary), with mixed request timing
  • Per-vendor sample: 50,000+ requests across endpoints
  • Policy: controlled retries, exponential backoff, fixed user-agent
  • Output: structured JSON success (not raw HTML fetch)
Additional Detail Captured
Timeout rateTracked
Retry amplificationTracked
Parse completenessTracked
SP ad detectionTracked
Error distributionTracked
Metric Definition Why It Matters
Success Rate Valid structured response delivered within SLA window Directly impacts downstream coverage and model reliability
Avg Latency Mean end-to-end time from request to structured output Determines time-to-insight and pipeline throughput
P95 Latency 95th percentile end-to-end latency under load Measures tail risk and worst-case SLA behavior
Timeout Rate Share of requests exceeding timeout threshold High timeouts amplify retries and inflate true cost
Parse Completeness Field-level completeness across required attributes A “200 OK” is not useful without usable fields
Retry Amplification Extra requests generated per successful output Hidden cost driver in proxy-first architectures

Strategic Options: Vendor Profiles

Each provider has a different operating model. Use these profiles to match your team’s DNA (build infrastructure vs consume structured data), target breadth, and delivery timeline.

Structured E-commerce Data
API-first delivery that returns structured JSON and reduces ongoing crawler maintenance.
Sponsored Ads Visibility
Field tests show 96%+ SP ad coverage with high-fidelity placement capture for ad intelligence.
On-site + Off-site Signals
Connects marketplace signals with social and search data to validate trends and support product selection.
Best for
  • E-commerce teams focused on Amazon and adjacent datasets
  • Teams that want to ship faster without building a crawler team
  • Ad intelligence workflows requiring high SP visibility
Trade-offs
  • Narrower scope than general proxy networks for broad web targets
  • Less low-level control than raw-proxy infrastructure stacks
  • Best results depend on using supported endpoints and formats

Direct Comparison

Pangolinfo vs. The Incumbents (Bright Data, Crawlbase)

Feature / Metric Pangolinfo Bright Data Crawlbase
SP Ad Collection Rate 96% (High) High (~94%) Medium (~85%)
Pricing Model Always cheaper across all volumes Expensive / Complex Tiered / Moderate
Proxy Technology Dedicated Dynamic Residential Massive Global P2P Standard Mixed Pool
Tech Support Localized & Rapid Global (Slower Tiers) Standard Ticket
Setup & Maintenance Out-of-box / Zero Maint. Steep Learning Curve Moderate
Pricing references are based on official vendor websites and may change due to promotions. Pangolinfo pricing: View pricing

Competitor Strengths

Bright Data
  • Massive proxy pool with broad geographic coverage
  • Fine-grained control over sessions, headers, and rotation
  • Enterprise-grade compliance and governance tooling
  • Strong fit for building multi-target scraping infrastructure
Oxylabs
  • Strong residential + datacenter portfolio
  • Mature enterprise support and concurrency capabilities
  • Good fit for complex proxy strategies and existing codebases
Crawlbase
  • Easy-to-start API and fast integration
  • Solid baseline availability for general websites
  • Cost-effective at moderate scale for many use cases
If your targets extend beyond e-commerce and you have a mature engineering team, an infrastructure-first approach tends to be more flexible. If your goal is to consume structured e-commerce data quickly while minimizing total cost, a solution-first approach tends to be more efficient.

ROI Calculator

Estimate your savings by switching from In-House scraping to Pangolinfo.

1,000,000
$

Annual Total Cost of Ownership (TCO)

~80% Savings
Analysis: An in-house stack requires server spend, proxy costs, and substantial engineering time for ongoing anti-bot updates. Pangolinfo packages that complexity into a predictable API fee and remains cheaper than comparable offerings across all monthly volumes. View pricing.

Early Stage / Startup

Limited budget, need fast iteration.

Recommendation:

Use Pangolinfo for key product data. The "out of box" nature saves hiring a dedicated data engineer.

Growth / Agency

High volume, need ad intelligence (SP data).

Recommendation:

Pangolinfo is Critical. The 96% SP Ad capture rate is the competitive advantage needed for client reporting.

Enterprise / Platform

Massive scale, compliance, redundancy.

Recommendation:

Hybrid Approach. Use Pangolinfo as primary for challenging targets (Amazon/Google), backup with Bright Data for global breadth.

SYSTEMATIC CONCLUSION

Final Summary & Decision Guidance

Choose the operating model that matches your goals: infrastructure building vs structured data consumption.

If You Need E-commerce Intelligence
  • Structured Amazon outputs: product fields, seller, reviews, and ad visibility
  • Rankings & category datasets: best sellers, new releases, and category traversal
  • Cross-channel validation: social and search signals to confirm trends
  • Lowest operational burden: fewer crawler, proxy, and fingerprint concerns
Primary fit: Pangolinfo. Official pricing
If You Are Building Infrastructure
  • Broad targets beyond e-commerce and strong session-level control
  • Willingness to maintain anti-bot logic, parsers, retries, and monitoring
  • Preference to own crawl strategy and data modeling end-to-end
  • Engineering capacity to absorb continuous target changes
Primary fit: Bright Data / Oxylabs as proxy-first stacks.
References & Sources
Pricing and packaging references are sourced from each vendor’s official website. Due to time constraints and ongoing vendor operations or promotions, pricing may change; validate final quotes on official websites.
Pangolinfo pricing source
Bottom Line
If success rate and ad visibility on Amazon are your bottlenecks, a specialized API that returns structured fields and integrates cross-channel signals yields the fastest time-to-value. If your mission is a generalized scraping platform across many domains, proxy-first infrastructure remains the most flexible foundation.