Verified Engagements

Production Case Studies &
Pipeline Architecture Results

Anonymized real-world architectures engineered by Crawlexa. Review how enterprise teams leverage our automated data pipelines to secure pricing compliance, extract mobile application APIs, and power algorithmic models.

eCommerce & Retail Brand

Automated MAP Compliance & Buybox Tracking Across 18 Marketplaces

4.2M Records / Month

The Engineering Challenge

A leading consumer lifestyle brand suffered significant margin erosion due to over 400 unauthorized third-party marketplace sellers undercutting Minimum Advertised Price (MAP). Internal Python scripts regularly failed due to Amazon & Walmart CAPTCHAs, missing over 65% of daily price fluctuations.

Crawlexa Solution Architecture

Crawlexa deployed a distributed proxy orchestration mesh covering Amazon US/UK/DE, Walmart, and Target. Pipelines run automated hourly scrapes across 45,000 SKUs, capturing seller IDs, fulfillment methods (FBA vs. FBM), stock levels, and instant screenshot evidence when MAP violations occur.

Delivery Destination:Amazon S3 (JSONL) & Webhook Alerts
Target Success SLA:99.85% (Zero IP Block Downtime)
Business Impact:94% of unauthorized price cuts resolved within 48 hours
Quick-Commerce Aggregator

Native Mobile App Scraping & Real-Time Inventory Telemetry

1.2M Daily Real-Time Updates

The Engineering Challenge

A hyper-growth delivery platform needed competitor pricing, localized dark store stock, and delivery time estimates. Crucially, the target data was accessible exclusively through native mobile iOS & Android applications with strict TLS cert-pinning, custom HMAC headers, and device attestations.

Crawlexa Solution Architecture

Crawlexa engineers reverse-engineered the target mobile RPC protocol, deploying emulated ARM Android environments that automatically renew ephemeral sessions, compute cryptographic payload hashes, and bypass bot protection without physical device overhead.

Delivery Destination:Google BigQuery & Snowflake Streaming
Average API Latency:< 380ms Sub-second response
Business Impact:Enabled automated dynamic catalog pricing in 12 metro regions
Quantitative Fund

Alternative Real Estate & Public Financial Signals Ingestion

18M Historical & Daily Records

The Engineering Challenge

An investment fund required clean, longitudinal listing trends, price revisions, and days-on-market signals across 50 regional property listing databases protected by Cloudflare Turnstile and DataDome WAF rules.

Crawlexa Solution Architecture

Crawlexa established an automated batch crawler with schema normalization, deduplicating records via MinHash algorithms and delivering Parquet files directly to AWS S3 buckets with complete audit logs and cryptographic checksums.

Output Formats:Apache Parquet & Normalized NDJSON
Uptime SLA:99.9% Production Guarantee
Business Impact:Zero in-house maintenance; backtests fed directly into fund models

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