# OpenStreetMap Places Scraper - Any City, Any Category (`loopchips/osm-places`) Actor

Pull businesses and places from OpenStreetMap for any area in the world. Name, category, full address, phone, website, opening hours and coordinates. Type a place name instead of coordinates. ODbL licensed, so the results can be redistributed with attribution.

- **URL**: https://apify.com/loopchips/osm-places.md
- **Developed by:** [Loopchips](https://apify.com/loopchips) (community)
- **Categories:** Lead generation, E-commerce, Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.50 / 1,000 places

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## OpenStreetMap Places Scraper

Businesses and places for any area in the world, pulled from OpenStreetMap.

Type a place name. The Actor finds the area for you, queries the map, and
returns clean rows: name, category, full address, phone, website, opening hours
and coordinates.

### Why OpenStreetMap

Map data from OpenStreetMap is published under the Open Database Licence. You
may keep it, build on it and redistribute it, as long as you credit the source.
Every row carries that credit in the `attribution` field.

### What you get

| Field | Description |
|---|---|
| `name` / `nameEn` | Place name, plus the English name where mapped |
| `placeType` | cafe, restaurant, hotel, pharmacy and so on |
| `cuisine` / `brand` / `operator` | Extra detail where the map has it |
| `addressFull` / `city` / `street` / `housenumber` / `postcode` | Address, split and combined |
| `phone` / `website` / `email` | Contact details |
| `openingHours` | Opening hours as mapped |
| `wheelchair` / `takeaway` / `outdoorSeating` | Accessibility and service flags |
| `latitude` / `longitude` | Coordinates |
| `osmId` / `osmUrl` | Stable identifier and link to the map entry |
| `attribution` | Required credit line |

### Example input

```json
{
  "places": ["Gangnam-gu, Seoul", "Shibuya, Tokyo"],
  "categories": ["cafe", "restaurant", "shop=bakery"],
  "maxResultsPerPlace": 500
}
```

Categories are OpenStreetMap tags. A bare word means `amenity`, so `cafe` is
`amenity=cafe`. You can also write `shop=bakery`, `tourism=hotel`,
`leisure=fitness_centre`, `office=company`, `healthcare=pharmacy`.

### What people use it for

- **Lead lists** - every bakery in a district, with phone and website
- **Market and site research** - how many competitors already sit in an area
- **Travel and directory products** - a starting catalogue you are allowed to publish
- **Enrichment** - match your own records against stable OSM identifiers

### Pricing

Pay per result. You are charged only for places actually returned.

### Coverage - measured, not promised

OpenStreetMap is volunteer-mapped, so how much detail you get depends on where
you look. Two runs of 300 cafes, measured:

| Field | Kreuzberg, Berlin | Gangnam-gu, Seoul |
|---|---|---|
| Name | 100% | 100% |
| Address | 71% | 22% |
| Opening hours | 68% | 12% |
| Website | 41% | 19% |
| Phone | 27% | 7% |

Western European and North American cities are mapped in far more detail than
most of Asia. If you need contact details at scale, check a small run for your
target city first.

### Notes

- Fields such as `phone` are present only where someone mapped them.
- Unnamed map entries are skipped by default. Turn off "Only named places" to
  include everything tagged.
- Several map servers are tried in turn, so one busy server does not fail a run.
- You must keep the attribution when you publish results: © OpenStreetMap
  contributors, ODbL.

# Actor input Schema

## `places` (type: `array`):

Place names, for example "Gangnam-gu, Seoul", "Brooklyn, New York", "Shibuya, Tokyo". Coordinates are looked up for you.

## `categories` (type: `array`):

OpenStreetMap tags. A bare word means amenity, so "cafe" equals "amenity=cafe". You can also write "shop=bakery", "tourism=hotel", "leisure=fitness\_centre".

## `maxResultsPerPlace` (type: `integer`):

Cap how many places to return for each area.

## `requireName` (type: `boolean`):

Skip unnamed map entries such as benches and vending points. Turn off to get everything tagged.

## `queryTimeoutSec` (type: `integer`):

How long the map server may spend on one area. Raise it for large cities.

## Actor input object example

```json
{
  "places": [
    "Gangnam-gu, Seoul"
  ],
  "categories": [
    "cafe",
    "restaurant"
  ],
  "maxResultsPerPlace": 500,
  "requireName": true,
  "queryTimeoutSec": 60
}
```

# Actor output Schema

## `places` (type: `string`):

Every place returned, with address, contact details and coordinates.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "places": [
        "Gangnam-gu, Seoul"
    ],
    "categories": [
        "cafe",
        "restaurant"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("loopchips/osm-places").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "places": ["Gangnam-gu, Seoul"],
    "categories": [
        "cafe",
        "restaurant",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("loopchips/osm-places").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "places": [
    "Gangnam-gu, Seoul"
  ],
  "categories": [
    "cafe",
    "restaurant"
  ]
}' |
apify call loopchips/osm-places --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,loopchips/osm-places"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ewbvQcoVKJ5do14i0/builds/uJfcAyg6vjngTnD8q/openapi.json