Save To S3

  • drinksight/save-to-s3
  • Modified
  • Users 58
  • Runs 392.9k
  • Created by Author's avatarRichard 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.startedAt}.${format}",
    "datasetOptions": {},

# Run the Actor and wait for it to finish
run ="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():