address-parser
Parse unstructured addresses into structured components - street, city, state, zip, country with validation.
Resources
1Install
npx skillscat add dkyazzentwatwa/chatgpt-skills/address-parser Install via the SkillsCat registry.
About this 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
Categories
Install
npx skillscat add dkyazzentwatwa/chatgpt-skills/address-parser Install via the SkillsCat registry.