---
license: apache-2.0
configs:
- config_name: places
  data_files: release/dt=*/places/parquet/*.parquet
  default: true
- config_name: categories
  data_files: release/dt=*/categories/parquet/*.parquet
---
# Access FSQ OS Places
 
With Foursquare’s Open Source Places, you can access free data to accelerate geospatial innovation and insights. View the [Places OS Data Schemas](https://docs.foursquare.com/data-products/docs/places-os-data-schema) for a full list of available attributes.

## Prerequisites

In order to access Foursquare's Open Source Places data, it is recommended to use Spark. Here is how to load the Places data in Spark from Hugging Face.

- For Spark 3, you can use the `read_parquet` helper function from the [HF Spark documentation](https://huggingface.co/docs/hub/datasets-spark). It provides an easy API to load a Spark Dataframe from Hugging Face, without having to download the full dataset locally:
  ```python
  places = read_parquet("hf://datasets/foursquare/fsq-os-places/release/dt=*/places/parquet/*.parquet")
  ```
- For Spark 4, there will be an official Hugging Face Spark data source available.

Alternatively you can download the following files to your local disk or cluster:

- Parquet Files:
  - **Places** - [release/dt=2024-12-03/places/parquet](https://huggingface.co/datasets/foursquare/fsq-os-places/tree/main/release/dt%3D2024-12-03/places/parquet)
  - **Categories** - [release/dt=2024-12-03/categories/parquet](https://huggingface.co/datasets/foursquare/fsq-os-places/tree/main/release/dt%3D2024-12-03/categories/parquet)

Hugging Face provides the following [download options](https://huggingface.co/docs/hub/datasets-downloading).

## Example Queries

The following are examples on how to query FSQ Open Source Places using Athena and Spark:

- Filter [Categories](https://docs.foursquare.com/data-products/docs/categories#places-open-source--propremium-flat-file) by the parent level
- Filter out [non-commercial venues](#non-commercial-categories-table) 
- Find open and recently active POI

### Filter by Parent Level Category

**SparkSQL**
```sql SparkSQL
WITH places_exploded_categories AS (
  -- Unnest categories array
  SELECT fsq_place_id, 
         name, 
         explode(fsq_category_ids) as fsq_category_id 
  FROM places
),
 distinct_places AS (
  SELECT 
	DISTINCT(fsq_place_id) -- Get distinct ids to reduce duplicates from explode function
  FROM places_exploded_categories p 
  JOIN categories c -- Join to categories to filter on Level 2 Category
  ON p.fsq_category_id = c.category_id 
  WHERE c.level2_category_id = '4d4b7105d754a06374d81259' -- Restaurants
)
SELECT * FROM places
WHERE fsq_place_id IN (SELECT fsq_place_id FROM distinct_places)
```
### Filter out Non-Commercial Categories

**SparkSQL**
```sql SparkSQL
SELECT * FROM places
WHERE arrays_overlap(fsq_category_ids, array('4bf58dd8d48988d1f0931735',	-- Airport Gate 
'62d587aeda6648532de2b88c',	-- Beer Festival 
'4bf58dd8d48988d12b951735',	-- Bus Line 
'52f2ab2ebcbc57f1066b8b3b',	-- Christmas Market 
'50aa9e094b90af0d42d5de0d',	-- City 
'5267e4d9e4b0ec79466e48c6',	-- Conference 
'5267e4d9e4b0ec79466e48c9',	-- Convention 
'530e33ccbcbc57f1066bbff7',	-- Country 
'5345731ebcbc57f1066c39b2',	-- County 
'63be6904847c3692a84b9bb7',	-- Entertainment Event 
'4d4b7105d754a06373d81259',	-- Event 
'5267e4d9e4b0ec79466e48c7',	-- Festival 
'4bf58dd8d48988d132951735',	-- Hotel Pool 
'52f2ab2ebcbc57f1066b8b4c',	-- Intersection 
'50aaa4314b90af0d42d5de10',	-- Island 
'58daa1558bbb0b01f18ec1fa',	-- Line 
'63be6904847c3692a84b9bb8',	-- Marketplace 
'4f2a23984b9023bd5841ed2c',	-- Moving Target 
'5267e4d9e4b0ec79466e48d1',	-- Music Festival 
'4f2a25ac4b909258e854f55f',	-- Neighborhood 
'5267e4d9e4b0ec79466e48c8',	-- Other Event 
'52741d85e4b0d5d1e3c6a6d9',	-- Parade 
'4bf58dd8d48988d1f7931735',	-- Plane 
'4f4531504b9074f6e4fb0102',	-- Platform 
'4cae28ecbf23941eb1190695',	-- Polling Place 
'4bf58dd8d48988d1f9931735',	-- Road 
'5bae9231bedf3950379f89c5',	-- Sporting Event 
'530e33ccbcbc57f1066bbff8',	-- State 
'530e33ccbcbc57f1066bbfe4',	-- States and Municipalities 
'52f2ab2ebcbc57f1066b8b54',	-- Stoop Sale 
'5267e4d8e4b0ec79466e48c5',	-- Street Fair 
'53e0feef498e5aac066fd8a9',	-- Street Food Gathering 
'4bf58dd8d48988d130951735',	-- Taxi 
'530e33ccbcbc57f1066bbff3',	-- Town 
'5bae9231bedf3950379f89c3',	-- Trade Fair 
'4bf58dd8d48988d12a951735',	-- Train 
'52e81612bcbc57f1066b7a24',	-- Tree 
'530e33ccbcbc57f1066bbff9',	-- Village
)) = false
```

### Find Open and Recently Active POI

**SparkSQL**
```sql SparkSQL
SELECT * FROM places p
WHERE p.date_closed IS NULL
    AND p.date_refreshed >= DATE_SUB(current_date(), 365);
```

## Appendix

### Non-Commercial Categories Table

| Category Name             | Category ID              |
| :------------------------ | :----------------------- |
| Airport Gate              | 4bf58dd8d48988d1f0931735 |
| Beer Festival             | 62d587aeda6648532de2b88c |
| Bus Line                  | 4bf58dd8d48988d12b951735 |
| Christmas Market          | 52f2ab2ebcbc57f1066b8b3b |
| City                      | 50aa9e094b90af0d42d5de0d |
| Conference                | 5267e4d9e4b0ec79466e48c6 |
| Convention                | 5267e4d9e4b0ec79466e48c9 |
| Country                   | 530e33ccbcbc57f1066bbff7 |
| County                    | 5345731ebcbc57f1066c39b2 |
| Entertainment Event       | 63be6904847c3692a84b9bb7 |
| Event                     | 4d4b7105d754a06373d81259 |
| Festival                  | 5267e4d9e4b0ec79466e48c7 |
| Hotel Pool                | 4bf58dd8d48988d132951735 |
| Intersection              | 52f2ab2ebcbc57f1066b8b4c |
| Island                    | 50aaa4314b90af0d42d5de10 |
| Line                      | 58daa1558bbb0b01f18ec1fa |
| Marketplace               | 63be6904847c3692a84b9bb8 |
| Moving Target             | 4f2a23984b9023bd5841ed2c |
| Music Festival            | 5267e4d9e4b0ec79466e48d1 |
| Neighborhood              | 4f2a25ac4b909258e854f55f |
| Other Event               | 5267e4d9e4b0ec79466e48c8 |
| Parade                    | 52741d85e4b0d5d1e3c6a6d9 |
| Plane                     | 4bf58dd8d48988d1f7931735 |
| Platform                  | 4f4531504b9074f6e4fb0102 |
| Polling Place             | 4cae28ecbf23941eb1190695 |
| Road                      | 4bf58dd8d48988d1f9931735 |
| State                     | 530e33ccbcbc57f1066bbff8 |
| States and Municipalities | 530e33ccbcbc57f1066bbfe4 |
| Stopp Sale                | 52f2ab2ebcbc57f1066b8b54 |
| Street Fair               | 5267e4d8e4b0ec79466e48c5 |
| Street Food Gathering     | 53e0feef498e5aac066fd8a9 |
| Taxi                      | 4bf58dd8d48988d130951735 |
| Town                      | 530e33ccbcbc57f1066bbff3 |
| Trade Fair                | 5bae9231bedf3950379f89c3 |
| Train                     | 4bf58dd8d48988d12a951735 |
| Tree                      | 52e81612bcbc57f1066b7a24 |
| Village                   | 530e33ccbcbc57f1066bbff9 |