Python
import os
from dataframer import Dataframer
client = Dataframer(
api_key=os.environ.get("DATAFRAMER_API_KEY"), # This is the default and can be omitted
)
response = client.dataframer.seed_datasets.files.download(
file_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
dataset_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.content_type)curl https://df-api.dataframer.ai/api/dataframer/seed-datasets/$DATASET_ID/files/$FILE_ID/ \
-H "Authorization: Bearer $DATAFRAMER_API_KEY"{
"download_url": "https://s3.amazonaws.com/bucket/path/to/file.csv?AWSAccessKeyId=...&Signature=...&Expires=...",
"filename": "my_data.csv",
"content_type": "text/csv"
}Seed Datasets
Download seed file
Get a URL for downloading a seed dataset file
GET
/
api
/
dataframer
/
seed-datasets
/
{dataset_id}
/
files
/
{file_id}
/
Python
import os
from dataframer import Dataframer
client = Dataframer(
api_key=os.environ.get("DATAFRAMER_API_KEY"), # This is the default and can be omitted
)
response = client.dataframer.seed_datasets.files.download(
file_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
dataset_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.content_type)curl https://df-api.dataframer.ai/api/dataframer/seed-datasets/$DATASET_ID/files/$FILE_ID/ \
-H "Authorization: Bearer $DATAFRAMER_API_KEY"{
"download_url": "https://s3.amazonaws.com/bucket/path/to/file.csv?AWSAccessKeyId=...&Signature=...&Expires=...",
"filename": "my_data.csv",
"content_type": "text/csv"
}Authorizations
API Key authentication. Format: "Bearer YOUR_API_KEY"
Path Parameters
UUID of the dataset
UUID of the file

