US address cleaner
by saswave
Clean and normalize messy US addresses automatically. Extract city, state, and ZIP code from any text string using advanced NLP for reliable data parsing.
Opens on Apify.com
About US address cleaner
Tired of messy, inconsistent US address data breaking your workflows? This actor is my go-to for cleaning up address lists. It takes any US address string, no matter how poorly formatted or non-standard, and reliably pulls out the clean, separate components you actually need: city, state, and ZIP code. I've used it on data from web scrapes, old spreadsheets, and user forms where people type addresses in all sorts of weird ways. The magic is in its use of advanced Natural Language Processing (NLP). Instead of just relying on rigid patterns, it understands the context of the words, which lets it handle variations and errors that would stump simpler parsers. You get structured, normalized data ready for analysis, shipping, CRM uploads, or mapping. It saves hours of manual cleanup and prevents downstream errors from bad address formatting. If you work with US location data, this is a simple, effective solution to a common, frustrating problem.
What does this actor do?
US address cleaner is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
US Address Cleaner
Normalizes and parses US addresses using NLP to extract structured location data from unstructured or non-standard input.
Overview
This actor takes a raw US address string and returns a clean, structured JSON object with separate city, state, and zip code fields. It's designed to handle non-standard address formats commonly found in lists or user-provided data.
Key Features
- Address Normalization: Cleans and standardizes US address strings.
- Component Extraction: Separates and identifies the city, state, and zip code.
- NLP-Powered: Uses advanced Natural Language Processing to handle varied, non-standard input formats.
- Simple Integration: Provides a straightforward JSON input/output interface.
How to Use
Send a raw address string as input to the actor. The actor processes the string and returns the parsed components.
Input/Output
Input: A string containing a US address.
"Elgin, IL, US, 60120"
Output: A JSON object with the extracted fields.
{
"input": "Elgin, IL, US, 60120",
"city": "Elgin",
"state": "IL, US",
"zipcode": "60120"
}
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try US address cleaner now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- saswave
- Pricing
- Paid
- Total Runs
- 415
- Active Users
- 16
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