370+ web scrapers
A managed scraping operation that collects structured fashion and retail data at scale.
Fashion intelligence / Case study
370+ scrapers. One reliable source of fashion market data.
We operate the web-scraping team behind LiveTrend's data collection. The work turns a changing retail web into structured, timely data for fashion competitive intelligence, trend analysis, and product research.
IndustryFashion intelligence
MarketFrance
Operation370+ web scrapers
Team3 scraping engineers, 1 data engineer
The challenge
Competitive intelligence is only useful when the data keeps up.
Fashion and retail data changes constantly: product pages, availability, pricing, images, and category structures can all shift without notice. A data product needs collection infrastructure that adapts with them.
Our team owns the scraping operation for LiveTrend, continually maintaining and improving a large network of collectors so the platform can work from fresh, structured market information.
What we operate
An ongoing data operation, not a one-off crawl.
Extraction pipelines
Resilient collectors that turn changing web pages into data ready for downstream processing.
Proxy infrastructure
A cost-conscious proxy layer designed to keep collection dependable across many sources.
Crawl monitoring
Ongoing visibility into scraper health, source changes, and the work required to keep data flowing.
What the data supports
Retail signals prepared for decisions, not just collected.
LiveTrend uses market data across its fashion intelligence products, including competitive intelligence, data-driven trend analysis, and retail product search.
01Retail web sources
Product and market signals are collected from relevant online sources.
02Managed scrapers
Our scraper fleet extracts the data through monitored collection workflows.
03Structured data
Outputs enter processing workflows ready for LiveTrend's analysis tools.
Measured outcomes
Efficiency gains that make broad data coverage sustainable.
67%lower proxy costs
15%faster crawl speed
56new brands in 3 months
Delivery team
A focused team responsible for collection reliability.
03Data scraping engineers
Build, maintain, and improve the scraper fleet as sources change.
01Data engineer
Supports the data pathways that turn collection output into usable product input.
Your data operation
Need reliable web data at a scale your product can use?
We build and operate scraping systems that turn volatile web sources into dependable product data.
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