Convert parquet, feather, ORC & Avro files with ParquetReader
📄 Convert Parquet, Feather, ORC & Avro Files with ParquetReader
This workflow allows you to upload and inspect Parquet, Feather, ORC, or Avro files via the ParquetReader API. It instantly returns a structured JSON preview of your data — including rows, schema, and metadata — without needing to write any custom code.
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✅ Perfect For
Validating schema and structure before syncing or transformation
Previewing raw columnar files on the fly
Automating QA, ETL, or CI/CD workflows
Converting Parquet, Avro, Feather, or ORC to JSON
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⚙️ Use Cases
Catch schema mismatches before pipeline runs
Automate column audits in incoming data files
Enrich metadata catalogs with real-time schema detection
Integrate file validation into automated workflows
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🚀 How to Use This Workflow
📥 Trigger via File Upload
You can trigger this flow by sending a POST request with a file using curl, Postman, or from another n8n flow.
🔧 Example (via curl):
bash
curl -X POST http://localhost:5678/webhook-test/convert \
-F "file=@converted.parquet"
> Replace converted.parquet with your local file path. You can also send Avro, ORC or Feather files.
🔁 Reuse from Other Flows
You can reuse this flow by calling the webhook from another n8n workflow using an HTTP Request node.
Make sure to send the file as form-data with the field name file.
🔍 What This Flow Does:
Receives the uploaded file via webhook (file)
Sends it to https://api.parquetreader.com/parquet as multipart/form-data (field name: file)
Receives parsed data (rows), schema, and metadata in JSON format
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🧪 Example JSON Response from this flow
json
{
"data": [
{
"full_name": "Pamela Cabrera",
"email": "bobbyharrison@example.net",
"age": "24",
"active": "True",
"latitude": "-36.1577385",
"longitude": "63.014954",
"company": "Carter, Shaw and Parks",
"country": "Honduras"
}
],
"meta_data": {
"created_by": "pyarrow",
"num_columns": 21,
"num_rows": 10,
"serialized_size": 7598,
"format_version": "0.12"
},
"schema": [
{ "columnname": "fullname", "column_type": "string" },
{ "columnname": "email", "columntype": "string" },
{ "columnname": "age", "columntype": "int64" },
{ "columnname": "active", "columntype": "bool" },
{ "columnname": "latitude", "columntype": "double" },
{ "columnname": "longitude", "columntype": "double" },
{ "columnname": "company", "columntype": "string" },
{ "columnname": "country", "columntype": "string" }
]
}
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🔐 API Info
Authentication: None required
Supported formats: .parquet, .avro, .orc, .feather
Free usage: No signup needed; API is currently open to the public
Limits: Usage and file size limits may apply in the future (TBD)
By ParquetReader