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iWeb Data Scraping — A managed menu- and catalog-price intelligence feed: automated extraction of restaurant menus, item prices, categories and competitor listings from food-delivery and quick-commerce platforms, normalized into a unified analytics-ready schema (platform, category, item, price, restaurant type, update status) and refreshed continuously from real-time through hourly or daily, with a city-level cut and its own periodically published original price index across a fixed city panel.. Small outsourcing-scale data shop: ~8 people in Singapore, no disclosed funding, monetizing manage…
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A managed menu- and catalog-price intelligence feed: automated extraction of restaurant menus, item prices, categories and competitor listings from food-delivery and quick-commerce platforms, normalized into a unified analytics-ready schema (platform, category, item, price, restaurant type, update status) and refreshed continuously from real-time through hourly or daily, with a city-level cut and its own periodically published original price index across a fixed city panel.
From 4 yearsCoverage Consumer DiscretionaryAsset class Equities
Sample, licence terms, pricing and eval results when iWeb Data Scraping publishes them. Until then, discover alternatives today with a 7-day trial.
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iWeb Data Scraping — A managed menu- and catalog-price intelligence feed: automated extraction of restaurant menus, item prices, categories and competitor listings from food-delivery and quick-commerce platforms, normalized into a unified analytics-ready schema (platform, category, item, price, restaurant type, update status) and refreshed continuously from real-time through hourly or daily, with a city-level cut and its own periodically published original price index across a fixed city panel.. Small outsourcing-scale data shop: ~8 people in Singapore, no disclosed funding, monetizing manage…
iWeb Data Scraping offers (Alternative, Price) — est. order of 10^5-10^6 menu item price observations per refresh cycle (the case study references thousands of menus per engagement across multiple platforms and cities, with item-level rows per menu).
Category-level menu price benchmarking across competing formats and geographies; identifying pricing gaps to reposition a menu; margin control and pass-through monitoring when input costs (including meat and protein costs) move; detecting competitor promotional activity on delivery platforms; validating franchise and cloud-kitchen price compliance across markets; feeding live price feeds into internal dashboards
The data is with 4 years of history.
Coverage spans US; Restaurants, Internet & Direct Marketing Retail; alternative, price; equities.
iWeb Data Scraping has not added their own details yet. Not yet on file: