GeoJSON to CSV Online — Convert GeoJSON, Query with SQL, Export CSV
Why GeoJSON to CSV is a common geospatial handoff
GeoJSON is great for web mapping and geospatial interchange, but CSV is still the easiest way to hand a feature table to someone in operations, analytics, or reporting.
If you only need the properties of each feature, or you want to hand off a table to Excel, a GeoJSON to CSV conversion makes the data much easier to work with.
The key is doing it without losing control over which fields you export and how geometry is represented.
What happens to geometry when you export GeoJSON to CSV
Each GeoJSON feature becomes a row. The feature properties become columns. The geometry has to be serialized into a text representation because CSV has no native geometry type.
That is usually fine if your goal is analysis, QA, or sharing attributes. If the consuming system still needs full geospatial structure, JSON or Parquet may be the better export target.
So the right question is: do you need a map-ready format, or do you need a tabular format? If it is tabular, CSV makes sense.
How to convert GeoJSON to CSV in ParquetReader
Upload the GeoJSON file to parquetreader.com. ParquetReader reads the feature collection, exposes it as dataset, and lets you inspect the schema and preview rows immediately.
From there you can export as CSV or run SQL first to narrow the export to the specific features and properties you need.
That is especially useful when the GeoJSON file contains many properties but your CSV only needs a small business-facing subset.
Use SQL to export cleaner feature tables
A raw GeoJSON export can include a lot of fields that do not belong in a CSV handoff. SQL lets you turn the spatial dataset into a clear flat table first.
For example, to export just key attributes from one region:
SELECT id, name, region, feature_type, geometry FROM dataset WHERE region = 'North America'
If you only need properties and not the geometry text column, leave it out entirely. That often produces the best CSV for downstream users.
Large feature collections and nested properties need planning
GeoJSON files can get large quickly, especially when features include verbose properties or complex geometries. Exporting everything to CSV often creates a big file with columns nobody uses.
Nested or irregular properties are worth checking first. If the source features are inconsistent, clean the output query so the CSV columns stay predictable.
When the dataset is truly geospatial-first, Parquet may be the better storage target and CSV may be just a selective extract.
Common questions about GeoJSON to CSV conversion
Will the geometry still be usable in CSV?
It will be stored as text. That is fine for inspection or delivery, but not as rich as GeoJSON or GeoParquet.
Can I export only feature properties?
Yes. Use SQL to select only the property columns and skip the geometry column if you want.
Is CSV the best format for geospatial work?
Not always. It is best for tabular handoffs, not for preserving full geospatial structure.
Can I export Parquet instead?
Yes. GeoJSON uploads can also be exported as Parquet or JSON.
Related guides
- GeoJSON to Parquet for scalable analytics
- GeoJSON to JSON for structured downstream use
- Open GeoParquet online if you work with geospatial Parquet files too
- Convert data files online for the bigger picture