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🗺️ Overpass OSM POI Scraper

🚀 Pull local business listings from OpenStreetMap in seconds. Search any city by category and get names, addresses, phones, websites, and coordinates.

🕒 Last updated: 2026-06-04 · 📊 20 fields per place · powered by the Overpass API · worldwide coverage

Collect points of interest from OpenStreetMap through the public Overpass API. Name a city or area, choose categories such as restaurants, hotels, pharmacies, or supermarkets, and get a clean list of places with their address, phone, website, email, opening hours, and exact latitude and longitude. You can also search around a coordinate with a radius, or add raw OpenStreetMap tag filters for anything not in the category list.

Coverage: the entire OpenStreetMap database, every country and city, across 45 ready made categories plus any custom tag.

📋 What the Overpass OSM POI Scraper does

• Searches OpenStreetMap by place name or by coordinate and radius.
• Collects 45 ready made categories, from restaurants to gyms to pharmacies.
• Accepts raw OpenStreetMap tag filters for full control.
• Returns 20 structured fields per place, including contact details.
• Gives exact latitude and longitude for every result.
• Exports to CSV, Excel, JSON, XML, or via API.

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

Example 1: restaurants in a city

{
"place":"Berlin, Germany",
"categories":["restaurant"],
"maxItems":200
}

Example 2: several categories around a coordinate

{
"latitude":"48.8566",
"longitude":"2.3522",
"radiusMeters":1200,
"categories":["hotel","pharmacy","supermarket"],
"maxItems":500
}

⚠️ Good to Know: a place is resolved to its full bounding box, so a large city can match many places. Use maxItems to cap output. Contact fields such as phone, website, and email come from OpenStreetMap contributors, so they appear for most but not all places. When both a place and a coordinate are set, the place wins.

📊 Output

Each record contains the following fields:

Real sample records:

{
"name":"Aida",
"category":"restaurant",
"osmType":"node",
"osmId":26735749,
"osmUrl":"https://www.openstreetmap.org/node/26735749",
"latitude":52.5068638,
"longitude":13.3228585,
"address":"Knesebeckstraße, 10623 Berlin",
"city":"Berlin",
"postcode":"10623",
"phone":"+49 30 318 06 750",
"website":"https://www.aida-restaurant.de/",
"email":"aida-camillo@web.de",
"openingHours":"Mo-Sa 11:30-21:00; Su 15:00-21:00",
"cuisine":"italian;pizza",
"wheelchair":"no",
"searchPlace":"Berlin, Germany",
"error":null
}

{
"name":"Madame Ngo",
"category":"restaurant",
"osmType":"node",
"osmId":26735759,
"osmUrl":"https://www.openstreetmap.org/node/26735759",
"latitude":52.5062119,
"longitude":13.3180811,
"address":"Kantstraße 30, 10623 Berlin",
"city":"Berlin",
"postcode":"10623",
"phone":"+49 157 53604089",
"website":"https://madame-ngo.de/",
"email":null,
"openingHours":"Mo-Sa 12:00-16:30, 18:00-22:00; Su 12:00-16:30, 18:00-21:30",
"cuisine":"asian",
"wheelchair":"limited",
"searchPlace":"Berlin, Germany",
"error":null
}

{
"name":"Nam Thuân",
"category":"restaurant",
"osmType":"node",
"osmId":26735763,
"osmUrl":"https://www.openstreetmap.org/node/26735763",
"latitude":52.5073199,
"longitude":13.3207804,
"address":"Pestalozzistraße 106, 10625 Berlin",
"city":"Berlin",
"postcode":"10625",
"openingHours":"Mo-Fr 11:00-22:00; Sa,PH 12:00-22:00",
"cuisine":"vietnamese",
"wheelchair":"no",
"searchPlace":"Berlin, Germany",
"error":null
}

✨ Why choose this Actor

• Worldwide. Every city in OpenStreetMap is searchable.
• 45 categories. From restaurants to clinics to EV charging.
• Contact ready. Phone, website, and email when contributors added them.
• Precise coordinates. Latitude and longitude on every place.
• Ready to export. CSV, Excel, JSON, XML, or API, with a clean table view.

📈 How it compares to alternatives

🚀 How to use

1. Create a free Apify account using this sign-up link.
2. Open the Overpass OSM POI Scraper.
3. Enter a place or a coordinate, then pick one or more categories.
4. Click Start and watch the dataset fill in real time.
5. Export your results as CSV, Excel, JSON, or XML, or pull them via API.

💼 Business use cases

🎯 Lead generation

🔍 Market research

🗺 Location intelligence

📊 Data projects

🔌 Automating Overpass OSM POI Scraper

Connect this Actor to your stack with Apify integrations: Make, Zapier, Slack, Airbyte, GitHub, and Google Drive. Schedule runs and push fresh place data into spreadsheets, databases, or alerts.

🌟 Beyond business use cases

• Research: study how amenities are distributed across a city.
• Personal: find every cafe or pharmacy near a new home.
• Non-profit: map services available in a community.
• Experimentation: build location apps and map mashups.

🤖 Ask an AI assistant

Paste your dataset into ChatGPT, Claude, Perplexity, or Copilot and ask for places with a website, the busiest streets, or clusters by category.

❓ Frequently Asked Questions

1. Do I need an API key? No. The Actor uses the public Overpass API and OpenStreetMap data.

2. Which areas are covered? Anywhere in OpenStreetMap, which means every country and city.

3. How do I search a city? Put its name in place, for example Madrid, Spain.

4. Can I search around a point? Yes. Leave place empty and set latitude, longitude, and radiusMeters.

5. What categories are available? 45 ready made ones, from restaurants and hotels to clinics and EV charging.

6. Can I use a category that is not listed? Yes. Add a raw tag filter in customFilters, such as amenity=cinema.

7. Why is a phone or website missing on some places? Those fields come from OpenStreetMap contributors and are not filled in everywhere.

8. Are coordinates always included? Yes. Every place has a latitude and longitude.

9. What export formats are supported? CSV, Excel, JSON, XML, and API.

10. Can I run it on a schedule? Yes, with Apify Schedules and integrations.

11. Is there a free option? Yes. Free runs are limited to 10 items as a preview. Paid plans unlock up to 1,000,000.

🔌 Integrate with any app

Use the Apify API, webhooks, and 5,000-plus integrations to push place data into Make, Zapier, Google Sheets, Airtable, databases, and more.

🔗 Recommended Actors

• Nominatim OSM Scraper
• GeoNames Places Scraper
• OpenTopoData Elevation Scraper
• Zippopotam Postal Lookup Scraper
• RestCountries Scraper

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with the OpenStreetMap Foundation. Data comes from OpenStreetMap contributors under the Open Database License.