Web & data scraping,
enginered for petabyte scale.
One platform for everything web data: managed scrapers across 60+ countries, ready-to-use datasets, and APIs your team can ship against today — with the anti-bot, proxy, and parsing layers handled for you.
82 named platforms. Eight regions. Zero excuses.
From Amazon and Walmart to Tokopedia and Mercado Libre — we maintain the scrapers, you get clean data. Add a new platform on request, typically within 14 days.
Six ways teams put Krawlx data to work
Pre-built solutions on top of our infrastructure — pick what you need, plug in your catalog, ship in days not quarters.
Pricing Intelligence
Competitor prices across every retailer, refreshed hourly. Repricing-ready feeds for your engine.
Learn moreMAP Compliance
Detect MAP violations within minutes. Auto-escalate with evidence packs to your channel team.
Learn moreDigital Shelf
Search rank, share-of-voice, content scoring across Amazon, Walmart, Target, Tesco and more.
Learn moreReviews & Sentiment
Normalized review streams from 60+ retailers, with sentiment, topics, and verified-buyer flags.
Learn moreAssortment & Catalog
Coverage gaps, new launches, and competitor SKU tracking — mapped to your master catalog.
Learn moreMarket Research
Custom one-shot studies. Hand us a brief; we deliver structured data within 7 business days.
Learn moreBuilt for the work your team actually does
Each industry gets schemas, dashboards, and signals tuned to its rhythm — no generic web-scraping kit.
Fashion & Apparel
Track collections, sell-throughs, and pricing across Zara, H&M, ASOS, Shein, and 500+ brands. Spot trends before they peak.
- Daily SKU-level price + stock tracking
- Color-way and size availability matrix
- Markdown depth & promo signal extraction
- Image embeddings for visual similarity
From brief to clean data in three steps
No procurement maze, no quarter-long onboarding. Most teams ship their first integration the same week.
Tell us what you need
Hand us a list of URLs, retailers, or fields. We'll scope the schema, agree on cadence and SLA, and quote a sample dataset.
We build & maintain the pipe
Krawlx engineers spin up scrapers, anti-bot, proxy, and parsing layers — and keep them green. You see only normalized, validated output.
Pull data however you like
REST, GraphQL, S3 drops, BigQuery, Snowflake, or webhook streams. Pick the integration that fits your stack — or let us push.
Teams that ship on Krawlx data
Filter by industry to see who's putting Krawlx feeds into production.
Before-and-after — in their words
The numbers customers measured before switching to Krawlx, and what changed after.
Krawlx replaced three vendors and an internal scraping squad. We went from weekly batches to live pricing across 14 retailers — and the quality is finally trustworthy.
We piped Krawlx's hotel-rate feed straight into our revenue model. Parity violations that took weeks to catch are now flagged within an hour.
Honestly the cleanest scraped data I've worked with. Schemas are stable, fields are normalized, and the team actually answers when something breaks.
Ship against a stable, documented API
Every Krawlx product is reachable from the same client. Auth once, query anything.
Most-used endpoints
See all 40+ endpoints| Method | Endpoint | Description | P95 latency | Uptime (90d) |
|---|---|---|---|---|
| GET | /v2/products/search | Search any retailer SERP | 240ms | 99.98% |
| GET | /v2/products/{asin|sku} | Full PDP — price, stock, reviews | 180ms | 99.99% |
| POST | /v2/jobs/batch | Submit 1–1M URLs as a job | — | 99.99% |
| GET | /v2/datasets/{id}/feed | Daily/weekly normalized feeds | — | 100% |
| WS | wss://stream.krawlx.io | Real-time price + stock events | <1s | 99.97% |
| GET | /v2/serp/{engine} | Google, Bing, Amazon, Yandex | 320ms | 99.96% |
| GET | /v2/reviews/{retailer} | Normalized reviews + sentiment | 210ms | 99.98% |
| POST | /v2/unblocker/render | JS-rendered page bypass | 1.4s | 99.95% |
Stop building scrapers. Start shipping decisions.
Tell us one URL or one dataset. We'll send you a sample within 24 hours — no sales calls, no forms longer than a tweet.