🏪 Leafly Dispensary Scraper

Collect clean dispensary data across locations, including names, addresses, contact details, reviews, ratings, store hours, delivery and pickup options, and payment details, all in a structured, ready-to-use format.

📚 Table of Contents

• 🧾 What This Actor Does
• 📦 What Data You Get
• 👥 Who This Actor Is For
• 🔥 Use Cases
• ⚡ Quick Start
• ⬇️ Input Format
• 📤 Output Example
• ⚙️ Execution & Reliability Notes
• 🔗 Need Weedmaps dispensary data as well?

---

🧾 What This Actor Does

You provide:

• A list of locations
• A maximum number of dispensaries per location

The actor returns:

• One normalized dataset item per dispensary
• Consistent fields across all locations
• Ready-to-use data for analysis, dashboards, automation, and internal tooling

---

📦 What Data You Get

Each dataset item represents one dispensary.

Category	What’s Included
🏷 Identity & Listing	id name slug featureTier flags headerTags description
📞 Contact & Online Presence	phone email website detailUrl
📍 Address & Location	address city state country zip latitude longitude distanceMi
⭐ Ratings & Popularity	rating roundedRating qualityRating serviceRating atmosphereRating reviewCount followerCount
💬 Reviews	reviews[].rating reviews[].content reviews[].createdAt reviews[].wouldRecommend reviews[].wouldShopAgain reviews[].staffResponse
⏰ Hours & Status	openNow openUntil openNext schedule schedules currentStatuses
🚚 Delivery & Pickup	deliveryEnabled deliveryRadiusMiles deliveryFee deliveryOrderMinimum pickupEnabled pickupMinutesMinimum pickupMinutesMaximum
💳 Payments & Access	acceptsCash acceptsDebitCards acceptsCreditCards hasAtm isAdaAccessible
🛍 Menu & Ordering	hasMenuItems lastMenuUpdate onlineFulfillmentEnabled inStoreCartEnabled
🖼 Media	displayImage coverPhotoUrl logoUrl photos[]
🪪 Compliance & Type	licenseNumber isApproved storeType retailType

💡 All fields are normalized and nullable where the source does not expose data.

---

👥 Who This Actor Is For

This actor is designed for teams that care about how dispensaries operate and perform, not just what they sell. It focuses on store-level intelligence and operational signals, rather than volatile product menus or pricing.

Below are common user groups and the parts of the dataset they are most likely to use.
The dataset is intentionally rich and flexible — these are possibilities, not limitations.

📊 Data Teams & Analysts

Useful fields include:

• ⭐ Ratings & Aggregates (rating, roundedRating, reviewCount, followerCount)
• 🧮 Rating Breakdowns (qualityRating, serviceRating, atmosphereRating)
• 💬 Review Content (reviews[].rating, reviews[].content, reviews[].createdAt)
• 👤 Reviewer Metadata (reviews[].userId, reviews[].userName, reviews[].language, reviews[].upvotesCount, reviews[].badges)
• 🗣 Staff Interaction Signals (reviews[].staffResponse, reviews[].staffResponseDate)
• ⏱ Time-Based Signals (created, lastMenuUpdate, openNow, openUntil, openNext)
• 📍 Location & Geography (city, state, country, latitude, longitude)
• 🏷 Classification & Platform Signals (flags, headerTags, featureTier, storeType, retailType)

📈 Sales & Growth Teams

Useful fields include:

• 📞 Contact & Online Presence (phone, email, website, detailUrl)
• ⭐ Reputation Signals (roundedRating, reviewCount, reviews[].content)
• 💬 Customer Engagement Readiness (hasChatEnabled, supportsSmsNotifications, hasReservationsEnabled)
• 🚚 Fulfillment Options (pickupEnabled, deliveryEnabled, onlineFulfillmentEnabled)
• 📢 Listing Visibility & Tier (featureTier, paidListing via flags)
• ⚠️ Operational Gaps (disabled delivery, missing menus, outdated lastMenuUpdate)

🧠 Agencies & Consultants

Useful fields include:

• 🏷 Identity & Branding (name, slug, displayImage, logoUrl, coverPhotoUrl)
• 🌍 Market & Location Context (address, city, state, country, locationPaths)
• 💬 Customer Feedback Narratives (reviews[].content, reviews[].createdAt)
• 📊 Cross-Market Comparison Signals (featureTier, flags, storeType, retailType)
• 🖼 Media & Metadata suitable for reports and client deliverables
• 🧩 Consistent Schema across locations for repeatable analysis

🧩 Developers & Product Teams

Useful fields include:

• 🆔 Stable Identifiers (id, slug, canonicalDispensaryId)
• 🧱 Normalized & Nullable Fields for safe ingestion
• ⏰ Structured Schedules & Status (currentStatuses, pickupSchedule, deliverySchedule)
• 🗺 Geocoding & Map Support (mapMarkerLocations, primaryLocation, locations)
• 💬 Reviews & Status Data for monitoring, alerts, or pipelines
• 🧠 Feature Flags & Capabilities (flags, pickupEnabled, deliveryEnabled)

---

🔥 Use Cases

📊 Market & Competitive Research

Compare dispensaries across cities or states using ratings, reviews, listing tiers, store hours, and delivery coverage to understand regional patterns and spot competitive gaps.

🏪 Dispensary Benchmarking

Benchmark stores against peers on pickup and delivery availability, payment support, menu freshness, review volume, and customer sentiment using normalized data.

📈 Lead Generation & Sales Intelligence

Find outreach opportunities using addresses and contact details, poor or declining reviews, unanswered feedback, missing delivery or ordering options, and outdated menus.

⭐ Reputation & Review Analysis

Analyze customer feedback at scale using review content, ratings, recommendation signals, and staff responses to uncover recurring issues and improvement areas.

🗺 Location Intelligence & Spatial Analysis

Use full address data, city and state information, and latitude and longitude to build maps, heatmaps, density views, and market coverage insights.

🧩 Internal Tools, Dashboards & Automation

Plug clean, consistent dispensary data into dashboards, CRMs, BI tools, or internal systems for reporting, monitoring, alerts, and automation without manual cleanup.

---

⚡ Quick Start

1. Provide one or more locations
2. Run the actor

By default, the actor collects up to 20 dispensaries per location.

---

⬇️ Input Format

{
  "locations": ["Chicago, IL", "Los Angeles, CA"],
  "dispensariesLimit": 50
}

Locations don’t need exact formatting — city names, neighborhoods, or city–state combinations work as long as Leafly can resolve them.

---

📤 Output Example

{
	"id": 386685,
	"slug": "hi5-cannabis-dispensary",
	"name": "Hi5 Cannabis Dispensary",
	"created": "2025-02-26T19:33:15.967Z",
	"canonicalDispensaryId": null,
	"featureTier": "pro",	
	"description": "Experience the ultimate cannabis destination at Hi5 Cannabis Dispensary, Chicago's premier dispensary for premium recreational products. Our curated selection, conveniently located on S Cicero Ave in Crestwood, offers a tailored experience. With daily deals, exclusive offers, and a student, faculty, senior, and veteran discount program, there's something for everyone. Step into our dispensary or use our online ordering system for in-store pickup. Discover the joy of cannabis at Hi5 Cannabis Dispensary.",
	"displayImage": "https://leafly-public.imgix.net/dispensary/photos/gallery386685/CFBbWtPR7amq9VOoWfEu_55b875c7-1948-4b83-a63e-b80f1251a71b",
	"coverPhotoUrl": "https://leafly-public.imgix.net/dispensary/photos/gallery386685/CFBbWtPR7amq9VOoWfEu_55b875c7-1948-4b83-a63e-b80f1251a71b",
	"logoUrl": "https://leafly-public.imgix.net/dispensary/photos/gallery386685/E6ilZ6QSmKezlv3fLNXC_133faae4-c6e6-4d40-ab0a-d204c305e8c3",
	"detailUrl": "https://www.leafly.com/dispensary-info/hi5-cannabis-dispensary",
	"address": "13352 S Cicero Ave",
	"address1": "13352 S Cicero Ave",
	"address2": null,
	"city": "Crestwood",
	"cityGeocoded": "Crestwood",
	"state": "IL",
	"stateGeocoded": "Illinois",
	"postalCode": "60445",
	"zip": "60445",
	"country": "US",
	"latitude": 41.6489524,
	"longitude": -87.7385944,
	"distanceMi": null,
	"locationPaths": {
		"cityDisplayName": "Crestwood",
		"cityPath": "/illinois/crestwood",
		"stateDisplayName": "Illinois",
		"statePath": "/illinois"
	},
	"mapMarkerLocations": [
		{
			"city": "Crestwood",
			"index": 0,
			"label": "Crestwood,IL",
			"state": "IL",
			"country": "US",
			"latitude": 41.6489524,
			"longitude": -87.7385944
		}
	],
	"primaryLocation": {
		"lat": 41.6489524,
		"lon": -87.7385944
	},
	"locations": [
		{
			"lat": 41.6489524,
			"lon": -87.7385944
		}
	],
	"rating": 3.3333,
	"roundedRating": 3.3,
	"qualityRating": 3,
	"serviceRating": 4,
	"atmosphereRating": 3,
	"reviewCount": 2,
	"followerCount": 9,
	"openNow": false,
	"openUntil": null,
	"openNext": "2026-01-17 09:00:00 -0600",
	"timeZone": "America/Chicago",
	
	
	"currentStatuses": {
		"store": {
			"statusChangeAt": {
				"day": "saturday",
				"time": "09:00",
				"type": "open"
			},
			"isOpen": false,
			"isOpen24Hours": false
		},
		"delivery": null,
		"pickup": {
			"statusChangeAt": {
				"day": "saturday",
				"time": "09:00",
				"type": "open"
			},
			"isOpen": false,
			"isOpen24Hours": false
		}
	},
	"deliveryEnabled": false,
	"deliveryFee": 0,
	"deliveryOrderMinimum": 0,
	"deliveryRadiusMiles": 10,
	"deliveryTimeEstimate": null,
	"deliveryZoneRangeType": "radius",
	"deliveryZonePostalCodeWhitelist": [],
	"deliveryZonePostalCodeBlacklist": [],
	"deliveryServiceAreaRanges": [],
	"deliverySchedule": {
		"friday": {
			"close": "1901-01-01T00:00:00Z",
			"isOpen": false,
			"open": "1901-01-01T00:00:00Z"
		},
		"monday": {
			"close": "1901-01-01T00:00:00Z",
			"isOpen": false,
			"open": "1901-01-01T00:00:00Z"
		},
		"saturday": {
			"close": "1901-01-01T00:00:00Z",
			"isOpen": false,
			"open": "1901-01-01T00:00:00Z"
		},
		"sunday": {
			"close": "1901-01-01T00:00:00Z",
			"isOpen": false,
			"open": "1901-01-01T00:00:00Z"
		},
		"thursday": {
			"close": "1901-01-01T00:00:00Z",
			"isOpen": false,
			"open": "1901-01-01T00:00:00Z"
		},
		"tuesday": {
			"close": "1901-01-01T00:00:00Z",
			"isOpen": false,
			"open": "1901-01-01T00:00:00Z"
		},
		"wednesday": {
			"close": "1901-01-01T00:00:00Z",
			"isOpen": false,
			"open": "1901-01-01T00:00:00Z"
		}
	},
	"scheduledDeliveryEnabled": false,
	"pickupEnabled": true,
	"pickupMinutesMinimum": 0,
	"pickupMinutesMaximum": 15,
	"pickupSchedule": {
		"friday": {
			"close": "1901-01-02T22:00:00.000Z",
			"isOpen": true,
			"open": "1901-01-01T09:00:00.000Z"
		},
		"monday": {
			"close": "1901-01-02T21:00:00.000Z",
			"isOpen": true,
			"open": "1901-01-01T09:00:00.000Z"
		},
		"saturday": {
			"close": "1901-01-02T22:00:00.000Z",
			"isOpen": true,
			"open": "1901-01-01T09:00:00.000Z"
		},
		"sunday": {
			"close": "1901-01-02T21:00:00.000Z",
			"isOpen": true,
			"open": "1901-01-01T09:00:00.000Z"
		},
		"thursday": {
			"close": "1901-01-02T21:00:00.000Z",
			"isOpen": true,
			"open": "1901-01-01T09:00:00.000Z"
		},
		"tuesday": {
			"close": "1901-01-02T21:00:00.000Z",
			"isOpen": true,
			"open": "1901-01-01T09:00:00.000Z"
		},
		"wednesday": {
			"close": "1901-01-02T21:00:00.000Z",
			"isOpen": true,
			"open": "1901-01-01T09:00:00.000Z"
		}
	},
	"pickupTimeEstimate": 0,
	"storeType": "dispensary",
	"retailType": "dispensary",
	"licenseNumber": "284.000290-AUDO",
	"isApproved": true,
	"offersMedicalCards": false,
	"verifiesMedicalCards247": false,
	"isAdaAccessible": true,
	"acceptsCash": true,
	"acceptsCreditCards": false,
	"acceptsDebitCards": true,
	"hasAtm": true,
	"inStorePaymentsAccepted": true,
	"onlinePaymentsAccepted": false,
	"hasMenuItems": true,
	"lastMenuUpdate": "2026-01-17T14:24:33.550Z",
	"menuSyncOptionId": 397,
	"orderIntegrationPartners": [],
	"onlineFulfillmentEnabled": true,
	"inStoreCartEnabled": false,
	"hasChatEnabled": true,
	"supportsSmsNotifications": true,
	"hasReservationsEnabled": true,
	"hasVeteranDiscount": true,
	"organizationId": null,
	"organizationName": null,
	"organizationSlug": null,
	"parentOrganizationId": null,
	"topLevelOrganizationName": null,
	"topLevelOrganizationSlug": null,	
	"reviews": [
		{
			"reviewId": "3671308",
			"rating": 1.666666666666667,
			"title": null,
			"content": "when I walked in the door I said hello to the girl that asked for my ID she was friendly I said hello to the security guard he just looked at me rolled his eyes and kept looking at his phone... some very hateful eyes he can take them bad vibes and shove them where the sun don't shine with his angry mad at the world lame butt... imagine walking around that mad wasn't insufferable old man anyway for that reason and that reason alone I won't stop there considering the owner hires people that treat you different because of the color of your skin.",
			"createdAt": "2025-05-30T12:18:03.042Z",
			"language": "",
			"wouldRecommend": false,
			"wouldShopAgain": false,
			"upvotesCount": 0,
			"badges": [],
			"staffResponse": null,
			"staffResponseDate": null,
			"userId": "5e68da6a-ead5-434f-a7cf-931338b33463",
			"userName": "s........2"
		}
	]
}

📤 Output can be exported as JSON, CSV, or Excel for easy analysis.

---

⚙️ Execution & Reliability Notes

• The actor runs at a controlled pace to minimize rate limits (429s) and blocking.
• Additional requests are used to initialize sessions and resolve dispensary listings reliably.
• Dispensaries are processed individually with built-in retries and defensive handling.
• This design trades some speed for higher success rates, cleaner data, and predictable execution.

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🔗 Need Weedmaps dispensary data as well?

Check out the companion actor👉 Weedmaps Dispensary Scraper.