Pricing

Pay per usage

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Save To S3

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Developed 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.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

12%

Last modified

2 years ago

Automation

Open source

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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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-start

Save 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-client

Other API clients include:

Save To S3 API in JavaScript

Save To S3 API through CLI

Save To S3 OpenAPI definition

Save To S3 API

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