Forloop

Forloop is an easy-to-use AI tool designed for fast-growing data teams for data preparation and pipeline management. It supports the creation of pipelines from various data sources, such as data warehouses, storage, and drives. The codeless environment allows data scientists to work independently of the DevOps team, targeting AI startups and companies with machine learning products.

Demand population:

" Forloop is suitable for data scientists and teams who may not be familiar with infrastructure setup and configuration and need to quickly connect various data sources and build pipelines without writing a lot of code."

Example of usage scenarios:

Alan Pock, CEO, Co-Founder @ Investown uses Forloop to connect various real estate websites with their systems and automate routines.

Marcin Dyszyński, CTO, Co-Founder @ Sharespace believes Forloop does a perfect job in ease of use and high privacy standards.

Jaime Miguel, CTO, Co-Founder @AiCare says the time it takes to deploy their AI models to production using Forloop was reduced by 45%.

Product Features:

Select the website, select data, and you can get data in a spreadsheet in minutes without coding.

The AI ​​agent Forloop can extract data from web pages and supports multi-level crawling functions.

Quickly and easily extract data from any website with our web crawlers and create schedulers to trigger pipelines when new data appears or changes on the website.

You can write your own Python scripts and use them as part of the pipeline.

Smooth the transition between code (flexibility) and codeless (speed) for the best results for both.

Tutorials for use:

Visit the Forloop website and register an account.

Select the required data source, such as websites, data warehouses, etc.

Create a data pipeline using drag and drop canvas.

Set up data extraction rules and schedule tasks.

Write custom Python scripts (if needed).

Start the pipeline and monitor the data collection and processing.

Adjust and optimize pipeline settings as needed.