📍 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

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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🌟 Beyond business use cases

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

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 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

💳 Do I need a paid Apify plan to run this actor?

No. You can start right now on the free Apify plan, which includes $5 in free monthly credit. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. Create a free Apify account here to get started.

🚨 What happens if my run fails or returns no results?

Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our contact form and we will investigate. You can also check the run log in the Apify console to see why the run stopped.

📏 How many items can I scrape per run?

Free users are limited to 10 items per run so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to 1,000,000 per run. Upgrade here if you need full scale.

🕒 How fresh is the data?

Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.

🧑‍💻 Can I call this actor from my own code?

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.

📤 How do I export the data?

Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream them into BigQuery, S3, and other destinations through built-in integrations.

📅 Can I schedule the actor to run automatically?

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.

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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.

🔌 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.