📍 Address Normalizer

🚀 Standardize and clean address data in seconds. Upload a list of messy addresses or a CSV file and get consistently formatted, normalized addresses. Optional AI-powered parsing. No coding, no geocoding API required.

🕒 Last updated: 2026-04-16 · 📍 AI address parsing · 📋 CSV input · 📦 Batch processing · 🚫 No coding needed

The Address Normalizer cleans and standardizes messy address data using AI. Upload a list of addresses or a CSV file and get back consistently formatted results with parsed components (street, city, state, ZIP, country). Custom prompts guide the parsing for non-standard formats.

Built for data ops teams, CRM admins, logistics companies, and anyone who needs to clean address data without manual formatting.

🎯 Target Audience	💡 Primary Use Cases
Data ops teams, CRM admins, logistics companies, marketers, sales teams, GIS analysts	Address cleaning, CRM data hygiene, mailing list preparation, geocoding preprocessing, data standardization

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📋 What the Address Normalizer does

• 📍 Address list input. Paste messy addresses directly.
• 📄 CSV file input. Upload a CSV file URL with an address column.
• 🤖 AI parsing. Splits addresses into components (street, city, state, ZIP, country).
• 📝 Custom prompts. Handle non-standard formats with specific instructions.

💡 Why it matters: inconsistent address formatting breaks geocoding, mailing, and CRM deduplication. This Actor standardizes addresses in bulk in seconds.

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🎬 Full Demo

🚧 Coming soon.

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⚙️ Input

Input	Type	Default	Behavior
addresses	array	[]	List of raw addresses to normalize.
csvFile	string	""	URL to a CSV file with addresses.
customPrompt	string	""	Instructions for non-standard formats.

Example: normalize 3 addresses.

{
    "addresses": [
        "123 main st apt 4b new york ny 10001",
        "456 Oak Avenue, Suite 200, Los Angeles California 90001",
        "789 elm, chicago IL"
    ]
}

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📊 Output

🧾 Schema

Field	Type	Example
📍 originalAddress	string	"123 main st apt 4b new york ny 10001"
📍 normalizedAddress	string	"123 Main St, Apt 4B, New York, NY 10001"
🏠 street	string	"123 Main St"
🏢 unit	string | null	"Apt 4B"
🏙️ city	string	"New York"
🏳️ state	string	"NY"
📮 zip	string	"10001"
🌍 country	string	"US"
🕒 processedAt	ISO 8601	"2026-04-16T00:00:00.000Z"

📦 Sample records

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✨ Why choose this Actor

	Capability
📍	AI-powered parsing. Splits messy addresses into components.
📄	CSV support. Upload CSV files for batch processing.
📦	Batch processing. Hundreds of addresses per run.
📝	Custom prompts. Handle non-standard formats.
⚡	Fast. Seconds per batch.
🚫	No geocoding API. Formatting only, no external API needed.

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📈 How it compares to alternatives

Approach	Cost	AI parsing	Batch	CSV support	Setup
⭐ Address Normalizer (this Actor)	$5 free credit, then pay-per-use	Yes	Yes	Yes	⚡ 2 min
Manual formatting	Free	No	No	N/A	🕒 Hours
Geocoding APIs	$5-50/1K addresses	Components	Yes	No	⏳ API setup
CRM built-in	Included	Limited	Yes	Yes	Already there

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Address Normalizer page.
3. 🎯 Set input. Paste addresses or upload a CSV URL.
4. 🚀 Run it. Click Start.
5. 📥 Download. Grab normalized addresses from the Dataset tab.

⏱️ Total time: 2-3 minutes. No coding required.

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💼 Business use cases

📊 Data Operations Clean CRM address fields Standardize mailing lists Preprocess for geocoding Merge address data from multiple sources

🚚 Logistics & Sales Normalize delivery addresses Standardize customer records Clean lead list addresses Prepare shipping label data

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🔌 Automating Address Normalizer

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

• Make - Automate workflows
• Zapier - Connect 5,000+ apps
• Slack - Get notifications
• Airbyte - Data pipelines
• GitHub - Trigger from commits
• Google Drive - Export to Sheets

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🔗 Recommended Actors

• 🗺️ Nominatim OSM Scraper - Geocoding
• 📋 Lead Formatter - Lead list cleaning
• 🔗 Broken Link Checker - URL validation
• 📝 HTML to JSON Smart Parser - Data extraction
• 🌍 Domain Checker - Domain availability

💡 Pro Tip: browse the complete ParseForge collection for more data processing tools.

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🆘 Need Help? Open our contact form to request a new tool, propose a custom project, or report an issue.

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⚠️ Disclaimer: this Actor is an independent data processing tool. Normalized addresses are AI-generated and should be verified for critical applications. All trademarks mentioned are the property of their respective owners.