osama-fawad
Pekingman
Pekingman is a multimodal agent system that integrates perception, long-term memory, human-like reasoning, emotional consistency, and real-time action to create believable NPC behavior.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It packages a domain-specific Weedmaps scraper into a desktop GUI with configurable state/location targeting, concurrent processing, rate limits, and caching, making structured cannabis market data accessible to non-engineers.
Who it is for
- Cannabis market researchers
- Data analysts working with dispensary and menu data
- Cannabis buyers or procurement teams
- Teams evaluating dispensaries and product availability
Use cases
- Collecting nationwide or state-selected cannabis listings and menus
- Exporting flattened menu products and dispensary details to CSV for analysis
- Targeting specific locations via custom state lists or location slugs
- Generating HTML reports or dashboards from collected market data
Strengths
- Cross-platform Python app with a desktop GUI showing live progress and logs
- Supports concurrency, request rate limiting, and both memory and disk caching
- Flexible collection scopes: all states, selected states, or custom location slugs
- Produces structured CSV output plus HTML reports and dashboards
Considerations
- README does not specify a version number or exact release/build details
- Environment variable names and entry-point file names are described as depending on repository implementation
- GPL-3.0 license may require compliance for derivative or bundled distribution
README quick start
Getting Started
Description
CanaData is a cross-platform Python application for collecting cannabis listings, dispensary locations, and menu records from Weedmaps for structured CSV workflows in 2026.
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