📬 Address Normalizer

Fix messy addresses in bulk using AI-powered formatting. Paste a list of raw addresses (from any country) or upload a CSV file, and get them back with proper capitalization, complete fields, standardized formats, and correct country inference. Works without coding, handles international addresses, and exports as JSON or CSV.

The Address Normalizer fixes messy addresses in bulk using AI - parsing 10+ addresses per batch, filling missing fields, and inferring country information automatically.

✨ What Does It Do

• 📍 Original Address - Store the raw input exactly as provided to compare before and after formatting
• 🏘️ Street Address - Extract the street address with proper capitalization and correct abbreviations
• 🗺️ District - Identify neighborhood, borough, or locality information when available
• 🏙️ City Name - Parse the city with proper capitalization and diacritical marks (Bogotá, São Paulo, München)
• 🌐 State/Province - Extract the state or province abbreviation or full name based on country standards
• 📮 Postal Code - Extract ZIP codes, postal codes, or other mail identifiers in standardized format
• 🌍 Country - Automatically infer the country name in English from address patterns and linguistic clues
• ✅ Normalized Address - Get a complete, properly formatted single-line address following country conventions

🔧 Input

• Addresses - Paste a list of raw addresses, one per line. Can be messy, abbreviated, or in any format. Examples: "123 main st new york ny 10001", "cra 15 # 103b-27 bogota", "rue de la paix paris 75001"
• CSV File (Optional) - Upload a CSV file with address data or provide a URL to one. The file should have an 'address' column, or the tool will extract addresses from any column.
• Custom Prompt (Optional) - Write your own normalization instructions if the defaults don't match your needs. Leave blank for standard format.

Example input:

{
  "addresses": [
    "123 main st new york ny 10001",
    "cra 15 # 103b-27 apto 402 bogota",
    "rue de la paix 10 paris 75001"
  ]
}

📊 Output

Each address is returned with up to 10 data fields. Download as JSON, CSV, or Excel.

📍 Original Address	🏘️ Street Address	🗺️ District
🏙️ City	🌐 State/Province	📮 Postal Code
🌍 Country	✅ Normalized Address	📅 Timestamp
❌ Error (if any)

💎 Why Choose the Address Normalizer?

Feature	Address Normalizer	Similar Tools
Automatic country inference from patterns	✔️	❌
CSV file upload and batch processing	✔️	❌
Custom normalization rules (custom prompt)	✔️	❌
Diacritical mark preservation (Bogotá, São Paulo)	✔️	❌
District and neighborhood detection	✔️	Partial
Bulk address processing	✔️	Partial
International address support (any country)	✔️	Partial
State/Province parsing with abbreviations	✔️	Partial
Export to CSV or Excel	✔️	✔️
Timestamp for each record	✔️	✔️

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "Address Normalizer" in the Apify Store and configure your input
3. Run It: Click "Start" and watch your results appear

Now you can export your data in CSV, Excel, or JSON format.

🎯 Business Use Cases

• 📊 Data Analyst - Normalize addresses from multiple sources (sales leads, customer databases, public records) to create a single unified customer database without duplicates
• 🏢 Real Estate Agent - Standardize property addresses before importing them into MLS listings to ensure consistency across all marketing platforms
• 📬 Logistics Manager - Fix shipping addresses in bulk before sending to your carrier to reduce delivery failures and returns

❓ FAQ

🔍 How does it work? The tool parses messy addresses and applies intelligent formatting rules. It analyzes patterns, abbreviations, city names, and linguistic clues to infer missing components like country, state, and postal code.

📊 How accurate is the address normalization? The tool is trained on global address formats and can recognize cities, abbreviations, and patterns from hundreds of countries. For common cities and known postal codes, accuracy is very high. Less well-known addresses may need manual review.

📅 Can I schedule this to run automatically? Yes. Use the integrations below (Zapier, Make, or GitHub Actions) to run the tool on a schedule, upload files automatically, or trigger it when you add data to a spreadsheet.

⚖️ Is it legal to normalize address data? The tool works with any address data you provide. You are responsible for ensuring you own or have permission to process the data. Normalization is a permitted use of public address information in most jurisdictions. Always review your local laws and the terms of service of your data source.

🛡️ Will this get blocked or rate-limited? No. The Address Normalizer does not scrape websites. It only processes addresses you provide directly as input, so there is no risk of being blocked or rate-limited by any service.

⚡ How long does a run take? Most runs complete in 30 seconds to 2 minutes depending on the number of addresses. A batch of 10 addresses usually takes 5-10 seconds. Larger jobs are processed in batches automatically.

⚠️ Are there any limits? Free users can normalize up to 100 addresses per run. Higher limits are available on paid plans.

🔗 Integrate Address Normalizer with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

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Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and normalize your first 100 addresses for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ Disclaimer

This Actor is an independent tool provided as-is. Users are responsible for complying with applicable laws and terms of service when processing data. All trademarks mentioned are the property of their respective owners.