Forloop
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Forloop
Overview :
Forloop is an easy-to-use AI tool designed for fast-growing data teams to streamline data preparation and pipeline management. It supports creating pipelines from various data sources like data warehouses, storage, and drivers. The no-code environment allows data scientists to work independently of DevOps teams, mainly targeting AI startups and companies with machine learning products.
Target Users :
Forloop is perfect for data scientists and teams who may not be familiar with infrastructure setup and configuration, needing to quickly connect various data sources and build pipelines without writing a lot of code.
Total Visits: 2.5K
Top Region: US(56.09%)
Website Views : 56.6K
Use Cases
Alan Pock, CEO, Co-Founder @ Investown uses Forloop to connect various real estate websites to their systems and automate routine tasks.
Marcin Dyszyński, CTO, Co-Founder @ Sharespace believes Forloop does an excellent job in both ease of use and high privacy standards.
Jaime Miguel, CTO, Co-Founder @ AiCare says using Forloop reduced the time it took to deploy their AI model to production by 45%.
Features
Choose a website, select data, and get data in your spreadsheet within minutes, all without coding.
AI agent Forloop can extract data from web pages with multi-level scraping capabilities.
Use our web crawler to quickly and easily extract data from any website and create a scheduler to trigger the pipeline when new data or changes appear on the website.
Write your own Python scripts and use them as part of your pipeline.
Seamlessly transition between code (flexibility) and no-code (speed) to get the best of both worlds.
How to Use
Visit the Forloop website and create an account.
Select your desired data source, such as websites, data warehouses, etc.
Use the drag-and-drop canvas to build your data pipeline.
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 required.
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