International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

ScrapeFlow – No Code Workflow Based Web Scrapping SaaS Tool

Abstract

Traditional web scraping tools demand coding expertise, CSS selectors, and constant fixes when sites change, making them tough for students and researchers. We introduce scrapeFLOW, an intelligent no-code platform that combines AI automation with powerful node-based workflows for precise, in-depth data extraction from any website. Users can quickly query data in natural English via AI-powered FlowScrape (limited records via free APIs) or build complex workflows using React Flow editor with 34+ task nodes like Scraper (CSS selectors), Visualizer, Summarizer, Data Extractor, Filter, Enricher, and Scheduler – connecting nodes via edges for deep scraping, analysis, and automation. Built on Next.js 14, TypeScript, Prisma PostgreSQL, Firecrawl engine, and AI models (Claude suggestions, Llama-3.3 70B analysis), it delivers charts, ML predictions, JSON/CSV exports. Workflow mode enables unlimited precise scraping unlike prompt-based limits, scalable with paid APIs. This affordable system with Razorpay billing saves massive time for Indian students, turning websites into clean data effortlessly.

Country : India

1 Om Chaudhari2 Bhavesh Choudhari3 Vikrant Khaire4 Nilesh Patil5 Prof. Manisha Hatkar

  1. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  2. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  3. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  4. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  5. Professor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India

IRJIET, Volume 10, Issue 4, April 2026 pp. 193-197

doi.org/10.47001/IRJIET/2026.104027

Full Paper
Download

References

  1. Next.js Team, "Next.js 14 Documentation: App Router, Server Components and API Routes," Vercel Inc., 2025. Online. Available: https://nextjs.org/
  2. xyflow GmbH, "React Flow v12: Node-Based Visual Editor for React Applications," React Flow Official Documentation, 2025. Online. Available: https://reactflow.dev/docs
  3. Firecrawl, "Firecrawl API Documentation: Multi-Site Web Scraping and Data Extraction," Firecrawl Developer Guide, 2025. Online. Available: https://firecrawl.dev/docs
  4. Prisma Team, "Prisma ORM v5: Database Toolkit for TypeScript with PostgreSQL," Prisma Documentation, 2025. Online. Available: https://prisma.io/docs
  5. Anthropic, "Claude 3.5 API: Natural Language Processing for Source Suggestion," Anthropic Developer Platform, 2025. Online. Available: https://docs.anthropic.com
  6. Groq Inc., "Groq API with Llama-3.3 70B: Fast AI Analysis, Charts and ML Predictions," Groq Developer Documentation, 2025. Online. Available: https://console.groq.com/docs
  7. Clerk Team, "Clerk Authentication v5: User Management for Next.js Applications," Clerk Integration Guide, 2025. Online. Available: https://clerk.com/docs
  8. Tailwind Labs, "Tailwind CSS v3.4: Utility-First Styling with Custom Design Tokens," Tailwind CSS Documentation, 2025. Online. Available: https://tailwindcss.com/docs

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.