OSM Point POI Exporter
Pricing
$50.00 / 1,000 completed poi exports
Export bounded OpenStreetMap point POIs from dated Geofabrik snapshots to GeoJSON and CSV. Filter region, exact categories and bounding box; retain source hashes, ODbL attribution and coverage.
You can access the OSM Point POI Exporter programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "queries": [9 {10 "id": "monaco_restaurants",11 "regionPath": "europe/monaco",12 "snapshotDate": "2026-10-25",13 "categories": ["restaurant"],14 "limit": 3,15 },16 {17 "id": "bremen_restaurants",18 "regionPath": "europe/germany/bremen",19 "snapshotDate": "2026-10-25",20 "categories": ["restaurant"],21 "limit": 3,22 },23 {24 "id": "bremen_pharmacies",25 "regionPath": "europe/germany/bremen",26 "snapshotDate": "2026-10-01",27 "categories": ["pharmacy"],28 "limit": 3,29 },30 ] }31
32# Run the Actor and wait for it to finish33run = client.actor("danielmichalek/osm-point-poi-exporter").call(run_input=run_input)34
35# Fetch and print Actor results from the run's dataset (if there are any)36print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")37for item in client.dataset(run.default_dataset_id).iterate_items():38 print(item)39
40# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use OSM Point POI Exporter API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: