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Save To S3

Save To S3

drinksight/save-to-s3
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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.

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "accessKeyId": "",
9    "secretAccessKey": "",
10    "region": "",
11    "bucket": "",
12    "objectKeyFormat": "${resource.id}_${resource.startedAt}.${format}",
13    "datasetOptions": {},
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("drinksight/save-to-s3").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
Developer
Maintained by Community
Actor metrics
  • 12 monthly users
  • 99.2% runs succeeded
  • 0.0 days response time
  • Created in May 2019
  • Modified 12 months ago
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