ScrapeFlow – No Code Workflow Based Web Scrapping SaaS Tool

Om ChaudhariStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaBhavesh ChoudhariStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaVikrant KhaireStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaNilesh PatilStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaProf. Manisha HatkarProfessor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India

Vol 10 No 4 (2026): Volume 10, Issue 4, April 2026 | Pages: 193-197

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-04-2026

doi Logo doi.org/10.47001/IRJIET/2026.104027

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.

Keywords

No-Code Scraping, Node Workflows, AI Insights, React Flow, Multi-Source Extraction, Visualizer Summarizer


Citation of this Article

Om Chaudhari, Bhavesh Choudhari, Vikrant Khaire, Nilesh Patil, & Prof. Manisha Hatkar. (2026). ScrapeFlow – No Code Workflow Based Web Scrapping SaaS Tool. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(4), 193-197. Article DOI https://doi.org/10.47001/IRJIET/2026.104027

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