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📍 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: 2026-04-23 · 📍 AI address parsing · 📋 CSV input · 📦 Batch processing · 🚫 No coding needed

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/address-normalizer on Apify. Call:ApifyClient("TOKEN").actor("parseforge/address-normalizer").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs:addresses(array,default["123 main st new york ny 10001", "456 oak avenue los angele),csvFile(string),customPrompt(string). Full actor spec: fetch build via GEThttps://api.apify.com/v2/acts/parseforge~address-normalizer(Bearer TOKEN). Get token: https://console.apify.com/account/integrations

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.

📋 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.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

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"
]
}

📊 Output

🧾 Schema

📦 Sample records

✨ Why choose this Actor

📈 How it compares to alternatives

🚀 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.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

🔌 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.

🔌 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

🔗 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.

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

⚠️ 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.