Stop making decisions based on biased, pay-to-play networks. Access pricing, inventory, and consumer demand data from over 16,000 stores across 15 agnostic e-commerce platforms.
Legacy platforms like Weedmaps and Leafly are advertising networks, not data companies. They steer consumers to stores that pay them, skewing geographic density and hiding true market availability.
Incumbents only show you data from retailers who pay their monthly fees. You are effectively analyzing a sponsored subset of the market.
Retailers use over 15 different POS and e-commerce menu providers (Dutchie, Jane, Dispense, etc.). Tracking them individually is technically unfeasible.
Other APIs force you to query by dispensary. If you are a brand trying to find out where your specific SKU is sold or out-of-stock, you can't.
The most comprehensive, neutrally assembled footprint in North America.
Access aggregated behavioral data from consumer stock alerts and saved strain preferences.
Access cleanly structured, standardized JSON payloads. We handle the mess of scraping 15 different HTML/DOM structures and POS variations so you don’t have to.
Track real-time pricing for any specific SKU across a geographic radius to enforce brand pricing agreements.
Find exactly which dispensaries currently have your competitor's anchor products in stock.
// Requesting stock data for specific SKU near VA
fetch('https://api.cannabrands.com/v1/products/availability', {
params: {
sku_id: "cb_sk_8921", // Comfort 1:1:1 CBN:CBD:THC
lat: 36.8529,
lng: -75.9780,
radius_miles: 50
}
})
Response (200 OK):
{
"data": {
"product_name": "Comfort 1:1:1 CBN:CBD:THC [40pk]",
"brand": "Avexia",
"total_dispensaries_in_radius": 6,
"availability": [
{
"dispensary_name": "Cannabist (VA) - Suffolk, VA",
"price": 32.40,
"status": "in_stock",
"last_indexed": "2026-04-19T14:32:00Z"
},
{
"dispensary_name": "gLeaf (VA) - Short Pump",
"price": 40.00,
"status": "in_stock",
"last_indexed": "2026-04-19T14:45:00Z"
}
]
}
}Ensure retail partners are adhering to pricing agreements. See competitive shelf-space share, and track out-of-stock events preventing sales in key markets.
Establish dynamic pricing models based on local competitor inventory. Know exactly when nearby stores sell out of popular strains to adjust your own margins.
Consume raw market movement data. Track regional pricing compression, dominant brand emergence, and overall retail footprint expansion.
Contact our data team to discuss volume limits and access.