You can access the Azure dataset uploader 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("mvolfik/azure-dataset-uploader").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Azure dataset uploader API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Azure dataset uploader API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Azure dataset uploader API in Python

Azure dataset uploader API through CLI

Azure dataset uploader OpenAPI definition

Azure dataset uploader API

GCP Uploader

circ_le/gcp-uploader

Upload datasets and KV store records to Google cloud storage

Cir◎cle

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

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

FTP file uploader

petr_cermak/ftp-upload

Performs a simple upload of an array of files to an FTP.

Petr Cermak

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

Save To S3

drinksight/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.

Richard Weaver

CSV File to Dataset

lukaskrivka/csv-file-to-dataset

Upload a local or remote CSV/text file and convert it to Apify Dataset for further use.

Lukáš Křivka

151

Notion Uploader

filip_cicvarek/notion-uploader

Upload data into a specified Notion database. It dynamically maps data from any Actor / Dataset to your Notion properties, ensuring your database stays up-to-date with the latest information.