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Case Studies

How customers use Krawlx at scale.

From grocery pricing pipelines to hedge-fund alt-data feeds — real deployments, real metrics, real teams.

12,400+competitor SKUs tracked daily
Grocery Retail

Rebuilt its competitor pricing pipeline in two weeks.

A Fortune-500 grocery retailer was running a fragile homegrown scraper that broke weekly. Their pricing team was manually patching data in spreadsheets the night before executive reviews. Krawlx replaced the entire stack in 14 days: 12,400+ SKUs across 8 competitors, normalized to a single schema, delivered to Snowflake every hour. The team retired two data-engineering headcount and repriced 4× faster.

Price intelligenceE-commerceSnowflake delivery
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40 OTAslive rate coverage
Travel Meta-search

Live hotel rates from 40 OTAs — with one API call.

A European travel meta-search startup needed live rates and availability from 40+ OTAs to compete with Kayak and Trivago. Their engineering team had prototyped 12 scrapers but couldn't keep up with rate-limit changes and CAPTCHA updates. Krawlx took over all 40 sources under a single versioned API. The startup shipped their rate comparison feature three weeks after kickoff — four months ahead of their internal estimate.

Travel & hospitalityRate parityReal-time streams
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2 → 18markets in 6 months
Proptech / Real Estate

Scaled from 2 to 18 markets without hiring a scraping team.

A Series-A proptech company had listing data for two US metros but needed to expand to 18 markets for their Series-B pitch. Building and maintaining scrapers for Zillow, Redfin, Realtor.com, and five regional MLS aggregators across 16 new markets was not a realistic option. Krawlx mapped all 18 markets in week 1, delivered normalized listing-history data in week 2, and had production feeds running by week 3. The company closed their Series-B citing data breadth as a key differentiator.

Real estateMulti-regionListing aggregation
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99.4%catalog match accuracy
CPG / Brand Intelligence

Digital shelf audits across 14 retailers with 99.4% SKU precision.

A global CPG brand needed daily digital-shelf audits — search rank, Buy Box share, content score, and promotional compliance — across 14 US and EU retailers. Their agency was delivering weekly Excel reports with a three-day lag. Krawlx automated the full audit pipeline: every morning at 06:00 UTC, the brand's Tableau dashboard refreshes with the prior day's data for every SKU, every retailer, every market. Compliance review time dropped from 8 hours/week to 20 minutes.

Digital shelfMAP complianceTableau integration
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6M+job postings / month
Recruitment Tech

Job market signals across 18 platforms, refreshed hourly.

A talent-intelligence SaaS needed real-time job-posting signals from 18 platforms — LinkedIn, Indeed, Glassdoor, and 15 regional job boards — to power their compensation benchmarking product. Third-party job data APIs covered only 4 of the 18 sources and had 48-hour data lags. Krawlx built a custom pipeline delivering 6M+ postings per month to the client's data lake, with structured salary, location, and seniority fields normalized across all sources.

Jobs & recruitmentSalary benchmarkingReal-time feeds
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< 500msP95 latency for earnings alerts
Financial Data

Alternative data signals from 800+ sources — P95 under 500ms.

A quantitative hedge fund was consuming earnings filings, news events, and consumer-sentiment signals from a patchwork of data vendors. Feed inconsistencies and vendor downtime were creating gaps in their alt-data pipeline. Krawlx consolidated 800+ sources into a single feed with a unified schema, real-time EDGAR filing alerts, and a dedicated 100Gbps interconnect for latency-sensitive events. The fund retired three legacy data vendors within 90 days.

Finance & alt-dataEDGAR filingsReal-time events
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