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

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    "keboolaStack": "import.keboola.com",
10    "bucket": "in.c-apify",
11    "table": "scrape_results",
12    "batchSize": 1000,
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("hckr-studio/keboola-uploader").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Keboola Uploader API in Python

The Apify API client for Python is the official library that allows you to use Keboola Uploader API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Keboola Uploader API in JavaScript

Keboola Uploader API through CLI

Keboola Uploader OpenAPI definition

Keboola Uploader API

Keboola Uploader

hlidac-shopu/keboola-uploader

Reliable uploader of Apify Datasets to Keboola Connection (aka KBC). Integration-ready. Supports development of non-profit service https://www.hlidacshopu.cz/

Hlídač shopů

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

Dataset MCP Uploader

lukaskrivka/dataset-mcp-uploader

Dataset MCP Uploader allows you to process datasets on the Apify platform and then publish the results on other platforms that support the MCP protocol

Lukáš Křivka

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

GCP Uploader

circ_le/gcp-uploader

Upload datasets and KV store records to Google cloud storage

Cir◎cle

5.0

Keboola Igniter

hckr-studio/keboola-igniter

This actor helps start asynchronous workflow on Apify platform. It's useful when you have long running scrapes and don't want to pay just for waiting for completion.

hckr.studio

Youtube Ai Short Creator and Auto Uploader

bhansalisoft/youtube-ai-short-creator-and-auto-uploader

Youtube Ai Short Creator Auto Uploader :Create viral youtube shorts automatically with AI. Generate videos, captions, hashtags, voiceovers, and auto-upload reels to Instagram in one click.

bhansalisoft

Framebassman's Amazon S3 Bucket Uploader

framebassman/amazon-s3-bucket-uploader

Dmitry Romashov

Azure dataset uploader

mvolfik/azure-dataset-uploader

The easiest way to upload datasets to Azure blob storage.

Matěj Volf

Instagram AI Reels Creator & Auto Uploader

bhansalisoft/instagram-ai-reels-creator-auto-uploader

Instagram AI Reels Creator & Auto Uploader :Create viral Instagram reels automatically with AI. Generate videos, captions, hashtags, voiceovers, and auto-upload reels to Instagram in one click.

bhansalisoft