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

S3 Bucket Uploader

mstephen190/s3-bucket-uploader

Upload the items from the default dataset of an actor's run to an S3 bucket in JSON format.

Matthias Stephens

S3 Uploader

apify/s3-uploader

Upload data from an Apify dataset to an Amazon S3 bucket. Providing various filters and transformation options, this Actor allows precise control over data structure, formatting, and upload settings to ensure seamless integration into your data pipeline.

Apify

Snowflake Uploader

svpetrenko/snowflake-uploader

This actor uploads Apify datasets to Snowflake tables. You can use it with in a combination with webhooks to integrate your scrapers with Snowflake.

Sviatozar Petrenko

Website DNS Scraper - Mail provider / tech stack

saswave/website-dns-scraper

From a list of domain names, get infos about tech stack (hubspot, webflow, klaviyo ...) used and mail provider (google, outlook ...) + All the dns records (TXT, A, SOA ..) DNS based

SASWAVE

105

Techstack/Wappalyzer Scraper

scraping_samurai/techstack-wappalyzer-scraper

Visits each business URL and gathers detected front-end, back-end, hosting, and analytics technologies. Returns a concise tech profile keyed to the original input URL.

Scraping Samurai

Social / Tech / Mail - Website Scraper

saswave/extract-tech-stack-social-account-from-company-website

Crawl multiple website at once and extract their tech stack (hotjar, klaviyo, googletagmanager ...) + their social accounts (linkedin, facebook, instagram) and the emails found

SASWAVE

200