mingle.io extracts and publishes almost 8 million POIs from OpenStreetMap

by Julius Chrobak,
May 6, 2013

mingle.io made available almost 8 million points of interest from OpenStreetMap through their query API. Developers can use a flexible query language to get the POIs they need into their applications in sub-seconds. All the major OSM tags are included to provided detailed information about the points.

The dataset contains hotels, camps, restaurants, bars, public transportation stops, places for sport or leisure activities and more. It has been extracted from the generic OpenStreetMap structure into a straightforward tabular form. This means developers do not need to figure out what are the relations among various OSM tags in order to retrieve just the points of interest. The company believes this is a huge time saver and will make the OSM data appealing to a larger audience of developers.

About mingle.io

mingle.io GmbH is a Swiss IT start up  which helps companies and developers to access variety of large volume Open Data on demand through their flexible query API. mingle.io takes care of all the mundane data management, adminsitration, and synchronization tasks and allows developers to quickly enriching their applications with the information they need. The API documentation as well as an interactive interface to explore available datasets is available on https://mingle.io.

Contact

Julius Chrobak, co-founder of mingle.io GmbH
Hertistrasse 1, 8304 Wallisellen, Switzerland
tel.: +41 44 830 00 33

2 comments

  1. Nice job!

    By the way: what is the data size?

    • hello and thanks!

      the data size is 7,771,948 records and the JSON response from the API is 1.5GB. If you want you can run the following UNIX command to get the full dataset:

      echo -e '{"query": "[a | a <- osmpois]", "limit": 8000000}' | curl –data-binary @- https://data.mingle.io > osmpois.json