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---
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 |
|