Parse unstructured addresses into structured components - street, city, state, zip, country with validation.
Recursos
1Instal·la
npx skillscat add dkyazzentwatwa/chatgpt-skills/address-parser Instal·la des del registre de SkillsCat.
Sobre aquest skill
This skill parses unstructured address strings into structured components like street, city, state, and zip code. It solves the problem of inconsistent address formatting by normalizing and validating data for international formats. Developers should use it to prepare messy address datasets for batch processing or geocoding APIs.
SKILL.md
Address Parser
Parse unstructured addresses into structured fields.
Features
- Component Extraction: Street, city, state, zip, country
- Format Standardization: Normalize address formats
- Validation: Verify address components
- Batch Processing: Parse multiple addresses
- International Support: Multiple country formats
- Geocoding Ready: Output for geocoding APIs
CLI Usage
python address_parser.py --input addresses.csv --column address --output parsed.csvDependencies
- pandas>=2.0.0