Forloop
Forloop.ai is a no-code platform that specializes in web scraping and data preparation. This tool enables teams to quickly gather, prepare,...
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What is Forloop?
Forloop is a no-code platform for web scraping and data automation that enables teams to collect, prepare, and automate external data in minutes. It functions as an AI agent for extracting data from the web, featuring multilevel scraping that navigates through multiple pages easily. The platform combines a visual no-code editor with Python-first flexibility, allowing users to write custom Python scripts (including AI models and data preparation functions) as part of their pipelines.
Key features include the No-code Pipeline Editor with drag-and-drop canvas, Web Extractor for scraping any website, scheduler functionality that triggers pipelines when new data appears or changes, automatic duplicate prevention and update handling, and seamless integration with spreadsheets, AirTable, MongoDB, MySQL, and other data storage platforms. Users can smoothly transition between code for flexibility and no-code for speed, creating pipeline blocks with custom Python code while maintaining the ease of a visual interface.
Forloop is designed for data scientists who are not comfortable with infrastructure setup, fast-growing AI startups, companies with ML-powered products, and teams that need reliable data without involving developers. It targets users ranging from individual hobbyists and researchers to large enterprise teams, enabling data teams to build processes that collect, prepare, and automate external data while unlocking real-time market insights to adapt faster and track market changes.
Forloop pricing
Pricing model: Freemium
Community: $0/month (free) with 1,000 API requests, 3 concurrent pipelines, pipeline sharing, community support. Hobby: $29/month or $19/month (annual) with 20,000 API requests, 10 concurrent pipelines, up to 3 collaborators, community support. Pro (Most Popular): $99/month or $66/month (annual) with 100,000 API requests, unlimited concurrency, up to 10 collaborators, team support (email, Slack, Discord), dedicated onboarding session. Team: $299/month or $199/month (annual) with 500,000 API requests, unlimited concurrency, unlimited collaborators, team support, dedicated onboarding session. Enterprise: Custom pricing with everything in Team plus help with data source integration, custom API requests, custom integrations, dedicated Customer Success, priority support SLAs, premium support. Free trial available for paid plans.
Forloop pros
- No-code interface requires no coding skills
- Multilevel scraping navigates multiple pages automatically
- Python-first approach allows custom script integration
- Scheduler triggers pipelines when data changes
- Automatic duplicate prevention and update handling
- Drag-and-drop pipeline canvas is intuitive
- Integrates with spreadsheets, AirTable, MongoDB, MySQL
- Works independently from DevOps teams
- Fast pipeline setup in minutes
- Smooth transition between code and no-code
- GDPR compliant with high privacy standards
- Data never sold or accessed by Forloop
- Suitable for teams of all skill levels
- 5x faster than traditional approaches
- Cuts AI model deployment time by 45%
Forloop cons
- UX needs improvement according to user reviews
- UI needs a lot of improvement
- UX definitely needs to be better
- Limited to 1,000 API requests on free tier
- Only 3 concurrent pipelines on Community plan
- Community support only on lower tiers
- No dedicated onboarding on Community plan
- Enterprise pricing is custom not transparent
Frequently asked questions about Forloop
What exactly is the Forloop Platform?
Forloop is an easy-to-use data preparation and pipeline management AI tool for fast-growing data teams. It enables the creation of pipelines from various data sources such as data warehouses, storage, and drives. The no-code environment allows data scientists to work independently from DevOps teams.
Is my data safe with that tool?
Data privacy is our highest priority. We are fully compliant with GDPR and don't have access to any of your inserted datasets. We don't sell, and will never sell, any data about you or your usage of our platform. We only use limited metadata to improve our services, mainly our recommendation engine. Thus, your data is safe within our platform.
Who is this tool for?
Forloop is for data scientists who are not comfortable with infrastructure setup and configuration. The tool allows you to connect various data sources and build pipelines without extensive code writing. We primarily target our value proposition at fast-growing AI startups and companies with ML-powered products.
How can I start using Forloop?
The easiest way to start building pipelines is to try out our latest cloud version by signing up. However, we highly recommend checking our Getting Started guide to learn the basic functionalities of the tool. Of course, we're happy to chat about your use case - just schedule a call.
What can I do with your platform?
Forloop allows you to build data pipelines for AI models. Connect any data source (data warehouse, data storage, drive) and create a pipeline using drag & drop canvas. In addition, you can also create workflows that web scrape data from websites and other sources like public APIs (e.g. weather data).
Do I need to code to use Forloop?
No coding is needed for the core functionality. Choose the website, select your data, and you've got it in a spreadsheet in minutes. The web scraping and data preparation tool employs teams to gather, prepare, and automate data processes rapidly without coding. However, you can write your own Python scripts to use as part of the pipeline for added flexibility.
How does the scheduler work?
Use the web scraper to extract data from any website quickly and easily. Create a scheduler that will trigger the pipeline every time new data appears on the website or changes. You also don't have to worry about duplicates or updates as the platform handles these automatically.
Can I use custom Python code with Forloop?
Yes, with Forloop you can write your own Python scripts and use them as part of the pipeline, including AI models and data preparation functions. You can smoothly transition between code (for flexibility) and no-code (for speed) to get the best of both worlds, and create pipeline blocks with custom Python code.
What data sources can Forloop connect to?
Forloop can connect to various data sources including data warehouses, data storage, drives, spreadsheets, AirTable, MongoDB, MySQL, websites, and public APIs. The platform enables creation of pipelines from these diverse sources using the no-code Pipeline Editor.
What is the multilevel scraping feature?
Forloop is your AI agent for extracting data from the web that navigates through pages easily using the multilevel scraping feature. This allows you to collect data from any source by navigating through multiple pages on a website without needing to manually click through or write complex scraping logic.