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MarketPulse (getmarketpulse.com) — US restaurant menu-price observation panel built by the MarketPulseBot crawler plus restaurant-published menus: ~4.56M price observations dated within 30 days across 203 US metros and 34 cuisine categories, 8.9 price snapshots per business on average and a median of 94 observations per business, each observation carrying price, item, source URL and capture date. Collection methods are disclosed by volume: AI extraction from HTML, schema.org menu markup, and direct API/JSON ingestion (~625K records). Sold as a Data API (JSON, MCP-accessible), free public aggr…
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US restaurant menu-price observation panel built by the MarketPulseBot crawler plus restaurant-published menus: ~4.56M price observations dated within 30 days across 203 US metros and 34 cuisine categories, 8.9 price snapshots per business on average and a median of 94 observations per business, each observation carrying price, item, source URL and capture date. Collection methods are disclosed by volume: AI extraction from HTML, schema.org menu markup, and direct API/JSON ingestion (~625K records). Sold as a Data API (JSON, MCP-accessible), free public aggregate reports, and signed dataset licenses that explicitly include model-training and redistribution rights.
Coverage Consumer Discretionary · Information TechnologyAsset class EquitiesTickers MCD · YUM · DPZ
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MarketPulse (getmarketpulse.com) — US restaurant menu-price observation panel built by the MarketPulseBot crawler plus restaurant-published menus: ~4.56M price observations dated within 30 days across 203 US metros and 34 cuisine categories, 8.9 price snapshots per business on average and a median of 94 observations per business, each observation carrying price, item, source URL and capture date. Collection methods are disclosed by volume: AI extraction from HTML, schema.org menu markup, and direct API/JSON ingestion (~625K records). Sold as a Data API (JSON, MCP-accessible), free public aggr…
Getmarketpulse offers (Alternative, Price) — ~4.56M price observations within 30 days and ~4.49M within 90 days (cumulative observation history); 8.9 snapshots per business average, median 94 observations per business; 203 metros x 34 categories; October 2026 category volumes include Asian 28,211, Burgers 18,963, Italian 13,528, Mexican 12,839, Pizza 12,320, Coffee 12,066; disclosed method split includes schema.org 1,191,323 and API/JSON 625,736 records.
Restaurant-level menu-inflation tracking at monthly cadence (finer and faster than the BLS food-away-from-home index); metro price-diff and cost-of-living models; competitor price-monitoring and revenue-management tooling; dish-level price-elasticity and trade-down research; independent verification of chain pricing claims; and grounding/evaluation corpora plus training data for pricing and food-ordering AI agents, with model-training rights already offered.
Coverage spans US; Restaurants, Application Software; alternative, price; equities.
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