Upload CSV files (may be gzipped). They MUST contain headers: either in first row (by default) OR in headers querystring field. If the file contains a timestamp field you want us to use see timestamp_field querystring parameter for how we extract it.

Note Domain this api is on a different domain https://bulk.lytics.io because the api.lytics.io domain is limited to 10MB file uploads.

# the "user_regdata" is the STREAM (ie Type) of data, if there
# is multiple different types of data (userdata, emaildata, events)
# they would have different streams.

# user data
export LIODATAKEY="YOURKEY"
curl -s -H "Authorization: $LIOKEY" \
  -H 'Content-type: application/csv' \
  --data-binary @users.csv \
  "https://bulk.lytics.io/collect/bulk/user_regdata?timestamp_field=register_date" \
 | jq '.'


# only do a dry-run to see if it is formatted correctly
curl -s "https://bulk.lytics.io/collect/bulk/user_regdata?access_token=$LIODATAKEY&timestamp_field=register_date&dryrun=true" \
    --data-binary @users.csv -H 'Content-type: application/csv' | jq '.'

# append fields to each row
#  where   append = urlencode({"source":"crm"})
#  often used when file-name contains information

curl -s "https://bulk.lytics.io/collect/bulk/user_regdata?append=%7B%22source%22%3A%22crm%22%7D&access_token=$LIODATAKEY" \
    --data-binary @users.csv -H 'Content-type: application/csv' | jq '.'


# full example uploading gzipped file

echo 'user_id,email,reg_date,item_count
7456,[email protected],"2012-10-17T17:29:39.738Z",82
1234,[email protected],"2012-12-11T19:53:31.547Z",82' > users.csv

gzip users.csv

curl -s "https://bulk.lytics.io/collect/bulk/user_regdata?access_token=$LIODATAKEY&timestamp_field=reg_date&dryrun=true&filename=users.csv" \
    --data-binary @users.csv.gz \
    -H 'Content-type: application/csv' | jq '.'