Save To S3
Pricing
Pay per usage
Save To S3
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.
0.0 (0)
Pricing
Pay per usage
3
Monthly users
12
Runs succeeded
22%
Last modified
2 years ago
You can access the Save To S3 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "accessKeyId": "",
10 "secretAccessKey": "",
11 "region": "",
12 "bucket": "",
13 "objectKeyFormat": "${resource.id}_${resource.startedAt}.${format}",
14 "datasetOptions": {},
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("drinksight/save-to-s3").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startSave To S3 API in Python
The Apify API client for Python is the official library that allows you to use Save To S3 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.
