Save To S3
- drinksight/save-to-s3
- Modified
- Users 58
- Runs 392.9k
- Created by
Richard Weaver
Designed to be run from an ACTOR.RUN.SUCCEEDED webhook, this actor downloads a task run's default dataset and saves it to an S3 bucket.
To run the code examples, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token. For a more detailed explanation, please read about running Actors via the API in Apify Docs.
from apify_client import ApifyClient
# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")
# Prepare the Actor input
run_input = {
"accessKeyId": "",
"secretAccessKey": "",
"region": "",
"bucket": "",
"objectKeyFormat": "${resource.id}_${resource.startedAt}.${format}",
"datasetOptions": {},
}
# Run the Actor and wait for it to finish
run = client.actor("drinksight/save-to-s3").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
