🗺️ 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.

🎯 Target Audience	💡 Primary Use Cases
Sales and lead gen teams	Build local business prospect lists
Market researchers	Map competitors in an area
Logistics and delivery	Geocode and enrich place data
App and data teams	Seed maps and location datasets

📋 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

Field	Type	Description
place	string	City or area to search, for example Berlin, Germany. Resolved to a map area automatically.
latitude	string	Center latitude, used when no place is set.
longitude	string	Center longitude, used when no place is set.
radiusMeters	integer	Search radius around the coordinate, in meters.
categories	array	Place types to collect, picked from 45 categories.
customFilters	array	Raw OpenStreetMap tag filters such as amenity=cinema.
maxItems	integer	Cap on places returned. Free plan is limited to 10.

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:

Field	Description
📌 name	Place name
🏷 category	Main OpenStreetMap category value
🧱 osmType	node, way, or relation
🔢 osmId	OpenStreetMap element id
🔗 osmUrl	Link to the element on OpenStreetMap
🧭 latitude	Latitude
🧭 longitude	Longitude
📍 address	Street and postal address
🏙 city	City
📮 postcode	Postal code
📞 phone	Phone number
🌐 website	Website
✉️ email	Email
🕐 openingHours	Opening hours string
🍽 cuisine	Cuisine, for food places
♿ wheelchair	Wheelchair access
🧩 tags	All raw OpenStreetMap tags
🔎 searchPlace	Area or coordinate that surfaced this place
🕒 scrapedAt	Collection timestamp
❌ error	Error message, null on success

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

	Overpass OSM POI Scraper	Manual map browsing	Generic web scrapers
Whole city in one run	✅	❌	⚠️ Needs setup
Contact and address fields	✅	⚠️	❌
Coordinates on every place	✅	⚠️	❌
45 categories plus custom tags	✅	❌	⚠️
Export to CSV/Excel/JSON/XML	✅	❌	⚠️

🚀 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

Goal	How
Build prospect lists	Search a category across a city
Reach out fast	Keep places with a phone or website

🔍 Market research

Goal	How
Map competitors	Search your category in a target area
Spot gaps	Compare density across neighborhoods

🗺 Location intelligence

Goal	How
Enrich a map	Pull coordinates for every place
Plan routes	Group nearby places by area

📊 Data projects

Goal	How
Seed a dataset	Pull many categories at once
Link records	Use the OSM id as a stable key

🔌 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.