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Keboola Uploader

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Developed by

hckr.studio

Reliable uploader of Apify Datasets to Keboola Connection (aka KBC). Integration-ready.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

93%

Last modified

24 days ago

Integrations

Developer tools

Automation

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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

FTP file uploader

petr_cermak/ftp-upload

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

Petr Cermak

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

778

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

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

Youtube Video Scraper

pratikdani/youtube-video-scraper

Scrapes YouTube, extracting video details like title, description, upload date, and uploader. Useful for market research, content analysis, or building video databases. Handles playlists and channel listings.