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Address Normalizer

Try for free

Fix and normalize addresses in bulk using AI. Upload a CSV or provide a list of addresses, and the Actor returns fully standardized results with proper capitalization, filled missing fields, corrected formats, and consistent structure for clean, reliable address data.

Pricing

Pay per event

Rating

5.0

(1)

Developer

ParseForge

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

📍 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.

Pull structured records from Address Normalizer — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

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 GET https://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.

🎯 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

📋 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.

📊 Data fields

Each record includes: city, country, district, normalizedAddress, originalAddress, postalCode, state, street, timestamp. All 9 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

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

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

🔗 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.

⚠️ 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.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.

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