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Summary
You can utilize the LotsoFSCSVs API to manage and import datasets from CSV formats efficiently. To begin, use the curl command with your user's authenticated credentials to list available CSV paths, specifying the dataset name as the filename parameter, such as cool_data. This allows you to organize your data logically by providing the exact file path required for the API to recognize the new dataset. Once you have identified a suitable dataset, you can append it directly into the existing catalog using the POST request with the specified Content-Type and Authorization header.

Alternatively, for processing large or complex files, the API supports bulk imports that handle asynchronous operations. When importing, you should specify the file path as the file parameter and the dataset name as the dataset parameter to ensure the system understands the structure of the new file. Upon receiving the response, you can retrieve a Job ID to monitor the import status or execute downstream tasks on the newly created dataset. If the dataset is new, setting the isNewDataset field to true will signal the bulk process to treat it as a fresh entry in the database.

Once the import completes successfully, it will typically return a jobId that can be checked to verify that the data has been successfully uploaded and is now accessible in the main catalog. To complete the workflow, users can generate a compressed zip or tarball archive of their entire dataset. To export the contents of this collection, the appropriate methods will be invoked to create a compressed zip file or a tarball. Finally, you can use the DuckDB client to query the imported dataset, providing the secret key for secure access to the stored data and retrieving the contents of the file.
Title
Lots of CSVs
Description
A small data API that works with everything
Keywords
https, token, curl, authorization, bearer, data, post, content, type, lots, http, client, server, will, option, name, authentication
Categories
NS Lookup
A 172.67.210.132, A 104.21.61.126
Dates
Created 2026-03-09
Updated 2026-04-15
Summarized 2026-04-15

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