Crawlexa collects, validates, and streams mission-critical data from modern websites and native mobile applications (iOS & Android) directly into your database, analytics warehouse, or LLM pipelines. Near-zero (<0.01%) proxy blocks, automated mobile session emulation, enterprise-grade compliance.
Enterprise data lives across two distinct environments: browser-rendered web storefronts and proprietary native mobile apps. Crawlexa provides dedicated engines for each, unifying output into standardized schemas.
Distributed headless browser clusters designed for high-concurrency discovery across complex dynamic single-page applications (SPAs), heavy JavaScript frameworks, and deep web catalogs.
Harvest in-app exclusive data, lightning deals, and quick-commerce darkstore stock straight from private mobile REST, gRPC, and Protobuf APIs that never appear on public websites.
From tailored one-off datasets to petabyte-scale continuous streaming pipelines, Crawlexa eliminates scraper and mobile extractor maintenance so you can focus on building.
Complete end-to-end extraction handled by dedicated data SREs. We inspect, parse, normalize, and deliver pristine records without your team touching scrapers.
Built for massive deep-web discovery across hundreds of millions of URLs. Handles complex JavaScript, SPAs, infinite scroll, and geo-targeted pagination at scale.
Curated, domain-specific web text, conversation transcripts, multimodal image-text pairings, and synthetic evaluation benchmarks designed for foundation model training.
Query live public websites via simple REST endpoints with automated IP rotation, JS rendering, and Cloudflare/DataDome challenge solving handled under the hood.
Real-time marketplace monitoring across Amazon, Walmart, Target, and TikTok Shop. Track pricing, inventory levels, seller listings, MAP compliance, and product reviews.
Direct extraction from iOS and Android mobile app ecosystems without relying solely on web interfaces. Ideal for delivery apps, quick commerce, and social commerce apps.
Select an enterprise data source below to inspect normalized schema specifications, explore sample structured payloads, and experience Crawlexa's data fidelity in this interactive demo.
{
"platform": "amazon_us",
"asin": "B0DC8L321A",
"product_title": "Enterprise Active Noise Cancelling Headphones v4",
"brand": "AcoustiX Pro",
"current_price": 249.99,
"list_price": 299.00,
"currency": "USD",
"stock_status": "IN_STOCK",
"stock_quantity": 42,
"buybox_winner": {
"seller_name": "Official Audio Direct",
"seller_id": "A1B2C3D4E5",
"fulfillment": "FBA"
},
"average_rating": 4.8,
"review_count": 14280,
"bsr_rankings": [
{
"category": "Electronics",
"rank": 14
},
{
"category": "Over-Ear Headphones",
"rank": 2
}
],
"map_violation": false,
"last_crawled_at": "2026-10-14T23:18:42Z"
}
We maintain battle-tested extractors for the world's most sophisticated domains. If your target isn't listed, we engineer custom extractors in 48 hours.
No complicated scraper setups, proxy negotiations, or code upkeep. Here is how your data pipeline goes live.
Share your target websites, specific data attributes, update cadence, and delivery destination. We confirm technical feasibility immediately.
We deliver a 1,000-record production sample for your team to inspect data types, edge cases, and schema fidelity before committing.
Our distributed browser clusters spin up across global residential proxies with automated human-mimicking workflows and challenge resilience.
Clean, validated records are pushed to your Amazon S3, Snowflake, BigQuery, or Webhook destination on your requested frequency.
Building and maintaining web scrapers in-house wastes valuable engineering cycles on proxy rotations, CAPTCHA solvers, and broken DOMs.
| Capability & TCO Factor | Crawlexa Managed Service | In-House Engineering Team | Generic Scraper Tool |
|---|---|---|---|
| Web & Native Mobile App Coverage | ✓ Unified Web DOM + Native iOS & Android App Streams | ✗ Web HTML only (App reverse engineering too specialized) | ✗ Web HTML only (No native mobile app extraction) |
| Dedicated Engineering Time | ✓ 0 Dev Hours (Fully Managed by Crawlexa SREs) | ✗ 20–35 hrs/week per engineer ($140k–$220k/yr salary loaded) | ⚠ Developer must write & maintain extraction scripts |
| Proxy Infrastructure & Bandwidth | ✓ 100% Included (45M+ Residential & Mobile IP Pool) | ✗ $800–$3,000/mo extra for commercial proxy subscriptions | ✗ Billed per GB ($8–$15/GB overage fees apply) |
| Headless Browser & Challenge Solvers | ✓ Autonomous Browser Mesh (Zero infrastructure overhead) | ✗ $500–$1,500/mo AWS EC2 server cluster & solver API licenses | ⚠ Frequent Cloudflare & DataDome blocking |
| DOM Break Remediation | ✓ 24/7 Automated Anomaly Detection & Patch SLA | ✗ Pipeline halts until in-house engineer debugs site changes | ✗ Broken feeds until manual selector redesign |
| Time to Production Data | ✓ 24–48 Hours (Sample delivered in < 4 hours) | ⚠ 3–8 Weeks initial pipeline development cycle | ⚠ 1–2 Weeks self-serve setup and testing |
| Total Monthly Cost of Ownership (TCO) | ✓ Predictable from $350/mo (All-Inclusive) | ✗ $14,000+ / mo (Salary + Proxies + Cloud Servers) | ⚠ $900–$2,500/mo (Software fee + proxy overages) |
| Compliance & Governance | ✓ SOC 2 Aligned, GDPR/CCPA Framework, Public Non-PII | ⚠ Unmitigated internal legal & compliance liability | ⚠ Unclear data provenance & liability disclaimers |
Estimate monthly pricing based on your required page volume and scraping refresh frequency. No hidden setup fees or surprise proxy bills.
Slide to your estimated monthly page extraction volume:
Native Direct Deliveries Where Your Team Operates
Measurable production outcomes delivered for enterprise ecommerce, foundational AI, and retail brands.
Challenge: An internal team of 3 data engineers spent 25+ sprint hours weekly repairing brittle web scrapers across Amazon, Walmart, and Target.
Outcome: Crawlexa completely offloaded crawler maintenance. Achieved a 62% reduction in proxy and cloud infrastructure costs with automated DOM break healing.
Challenge: Training a domain-specialized language model required petabyte-scale multilingual public web data filtered for quality, boilerplate removal, and copyright exclusion.
Outcome: Distributed crawler mesh executed across 18 target regions, delivering 120M deduplicated documents to Amazon S3 within 10 calendar days with 99.85% schema validity.
Challenge: Unauthorized reseller discounting and unauthorized Buybox undercutting were eroding brand pricing power and retail relationships.
Outcome: Hyperlocal hourly price and seller tracking with automated timestamped screenshots. Enabled immediate brand enforcement, protecting an estimated $1.2M in annual brand equity.
Clear answers to your technical, legal, and operational questions regarding enterprise data extraction.