Slow data loading from API response to GCS and Bigquery

We have requirement to load data from series of API call and load the response in GCS and Bigquery. While I am gettign quick response from API call but writing file to GCS seems to be very slow. I am using below code. My approach is API response (sequential based on list of id values in API parameter) -> json load to gcs -> bq load. It is taking long time in this approach.Is there any approach or code tunning can be done to load data in gcs in fastest way ?

import requests
import json
from datetime import date
from google.cloud import storage
from google.cloud import bigquery

today = date.today()

timestr = str(today.strftime('%Y')) + "-" + str(today.strftime('%m')) + "-" + str(today.strftime('%d'))
bucket_name='bucket_name'
project_id='project_name'
dataset_id='ds_name'
table_id='table_name'




def get_id():
    client = bigquery.Client()
    id_list = []
    query = """
        select id from table 
        """

    query_job = client.query(query)
    data = query_job.result()
    # rows = list(data)
    for row in data:
        # print(format(row.value))
        store_list.append(format(row.id))
    return id_list

def upload_to_bucket(blob_name, output, bucket_name):
    storage_client = storage.Client(project_id)
    bucket = storage_client.get_bucket(bucket_name)
    blob = bucket.blob(blob_name)
    blob.upload_from_string(data=output, content_type='application/json')
    return blob.public_url

def build_full_gcs_path(blob_name, bucket_name):
    return 'gs://' + bucket_name + '/' + blob_name

   
def get_api_response():
    rows = get_id()
    for id in rows:
        blob_name =  timestr + id+ '.json'
        try:
            response = requests.get("REST API url" + id )
            if "NOT_FOUND" in response.json():
                print('No data found')
            else:
                api_response = response.json()
                dt = {"currentDate": timestr}
                api_response.update(dt)
                ot=json.dumps(api_response)
                print(json.dumps(api_response))

                g = upload_to_bucket(blob_name, json.dumps(api_response), bucket_name)
                print(g)
                loc = build_full_gcs_path(blob_name, bucket_name)
                print(loc)
        except Exception as e:
            print(e)
get_api_response()