You can access the Keboola 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    "keboolaStack": "import.keboola.com",
12    "bucket": "in.c-apify",
13    "table": "scrape_results",
14    "batchSize": 1000
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("hckr-studio/keboola-uploader").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25    console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Keboola Uploader API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Keboola 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:

Keboola Uploader API in Python

Keboola Uploader API through CLI

Keboola Uploader OpenAPI definition

Keboola Uploader API

Keboola Input Mapping

drobnikj/keboola-input-mapping

It parses the input table from Apify <> Keboola extractor and maps the data into another task or actor input.

Jakub Drobník

GCP Uploader

circ_le/gcp-uploader

Upload datasets and KV store records to Google cloud storage

Cir◎cle

Linkedin Contacts CSV Uploader

big-brain.io/linkedIn-contacts-uploader

Send connection requests and bypass Linkedin's new limits by importing a Google Sheet or public CSV with email addresses. Go from 100 connection requests per week to 1000 per day.

Big Brain

Azure dataset uploader

mvolfik/azure-dataset-uploader

The easiest way to upload datasets to Azure blob storage.

Matěj Volf

Dataset Image Downloader & Uploader

lukaskrivka/images-download-upload

Download image files from image URLs in your datasets and save them to a Zip file, Key-Value store, or directly your AWS S3 bucket.

Lukáš Křivka

820

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

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

Youtube Video Details

maged120/youtube-video-details

The YouTube Video Details Scraper is an Apify actor that extracts comprehensive metadata from a single YouTube video or Short. It provides detailed information such as title, uploader, views, comments, subtitles, and more, with flexible options to filter Shorts and customize output.