Datasets
Buyer room
XWIZ.IOManage supplier listing
Xwiz Analytics LLP (xwiz.io) — Commercially extracted mobility and delivery marketplace panel: recurring scrapes of Uber ride prices, surge multipliers, vehicle/availability counts, wait times, pickup-drop-off geographies, trip durations and route patterns, plus driver ratings/reviews and driver-vehicle performance records, also covering Uber Eats restaurant listings, menus, prices and delivery status. Small but genuinely commercial: a 14-person private firm (Ahmedabad + Calgary) with Fortune-500 brand logos, running production scrapers on a minutes-cadence for ride-hail, delivery and 20+ oth…
supplier index read from their site
Commercially extracted mobility and delivery marketplace panel: recurring scrapes of Uber ride prices, surge multipliers, vehicle/availability counts, wait times, pickup-drop-off geographies, trip durations and route patterns, plus driver ratings/reviews and driver-vehicle performance records, also covering Uber Eats restaurant listings, menus, prices and delivery status
Scale Client-scopedFrom 5 yearsCoverage Industrials · Information Technology
Sample, licence terms, pricing and eval results when Xwiz publishes them. Until then, discover alternatives today with a 7-day trial.
Start 7-day trial →What buyers ask about Xwiz, answered from this page.
Xwiz Analytics LLP (xwiz.io) — Commercially extracted mobility and delivery marketplace panel: recurring scrapes of Uber ride prices, surge multipliers, vehicle/availability counts, wait times, pickup-drop-off geographies, trip durations and route patterns, plus driver ratings/reviews and driver-vehicle performance records, also covering Uber Eats restaurant listings, menus, prices and delivery status. Small but genuinely commercial: a 14-person private firm (Ahmedabad + Calgary) with Fortune-500 brand logos, running production scrapers on a minutes-cadence for ride-hail, delivery and 20+ oth…
Xwiz offers (Alternative, Price, Sentiment, Supply Chain) — Client-scoped; a multi-city every-few-minutes fare probe implies on the order of millions of price/availability observations per month (e.g. 10 cities × 100 route cells × 300 probes/day ≈ 3M rows/month), plus recurring restaurant listing and review snapshots — exact volumes are quoted per project, not published.
Mobility pricing optimization and surge-model calibration; demand forecasting and fleet/shift allocation for operators and rentable-fleet managers; competitive fare benchmarking for challenger ride-hail and two-wheeler apps; mobility cost and TCO models for corporates; consumer-spend and inflation tracking from recurring price series; restaurant menu and availability intelligence for delivery aggregators
The data is with 5 years of history.
Coverage spans US; Ride Services & Mobility, Data Processing & Outsourced Services; alternative, price, sentiment, supply_chain; equities, options.
Xwiz has not added their own details yet. Not yet on file: