Compare
Forloop.ai vs MrScraper
Focused solely on web scraping with a simpler UI, lacking full pipeline and Python code support.
Side by side
- What it is
- Forloop.ai:Forloop.ai is a no-code/low-code platform for web scraping, data preparation and pipeline automation.
- MrScraper:MrScraper is an AI-powered web scraper that turns any website into clean, structured data via API or visual tool.
- Best for
- Forloop.ai:No-code web scraping & data pipelines
- MrScraper:AI-driven web scraping at scale
- Who it’s for
- Forloop.ai:Data scientists and fast-growing AI/ML teams that need quick data pipelines without heavy DevOps.
- MrScraper:Developers and data teams needing scalable web data extraction.
- Pricing
- Forloop.ai:Freemium
- MrScraper:Freemium
- Plans
- Forloop.ai:Community $0
- MrScraper:Free $0 · Pro $199 per month
- Works with
- Forloop.ai:Spreadsheet, AirTable, MongoDB, MySQL, Python
- MrScraper:Webhooks, SQL databases, AWS S3, Zapier, n8n, Email
- DevHunt upvotes
- Forloop.ai:8
- MrScraper:28
- Launched on DevHunt
- Forloop.ai:May 2024
- MrScraper:Aug 2024
Forloop.ai features
- No-code web scraping. Extract data from any website using a visual interface and multilevel scraping.
- Python code blocks. Add custom Python scripts to pipelines for AI models or data transformations.
- Scheduled pipelines. Automatically trigger pipelines when source data changes or on a set schedule.
- Data source connectors. Connect to spreadsheets, Airtable, MongoDB, MySQL and other storage services.
- Collaboration & versioning. Share pipelines, use Git for version control and collaborate with teammates.
- Concurrency scaling. Choose plans with up to unlimited concurrent pipelines for high-throughput workloads.
MrScraper features
- AI-Powered Extraction. Automatically parses page layouts and returns structured data without writing selectors.
- Rotating Residential Proxies. Built-in home IP proxies keep scrapes unblocked and hide your traffic.
- Visual Scraper & JavaScript Scenarios. Point-and-click or run custom JS to capture dynamic content before extraction.
- Scheduled & Repeatable Workflows. Set scrapers to run on any interval and deliver results automatically.
- Webhook & Integration Outputs. Send scraped data to webhooks, SQL, AWS S3, Zapier, n8n or email.
- Usage Analytics & Monitoring. Track token consumption, run history and performance metrics in the dashboard.
Based on each tool's website and DevHunt data. Details may change; check the official sites.

