Gumloop

No-code AI workflow and web scraping platform

A visual AI workflow builder designed for complex data scraping, automated enrichment, multi-LLM chaining, and agentic business pipelines without code.

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Gumloop is an AI-first automation platform designed to handle the complex, unstructured data tasks that legacy automation tools struggle with. Built from the ground up for LLMs, it provides specialized nodes for web scraping, PDF parsing, Google Sheets batch processing, and multi-model AI reasoning.

Users build workflows on an intuitive node-based canvas: a pipeline can scrape a list of company URLs, extract leadership bios, run each bio through an LLM to identify specific pain points, and write custom personalized outreach emails back into a Google Sheet in a single automated batch run.

The platform provides a bridge between no-code convenience and technical flexibility, allowing users to inject custom Python scripts whenever visual nodes need bespoke transformation logic. For growth marketers and operations teams, it turns manual research grunts into automated background jobs.

Features

Visual Node-Based Canvas

Connect scrapers, LLMs, document parsers, and APIs into automated drag-and-drop pipelines.

Headless Web Scraper Nodes

Extract structured data from dynamic JavaScript websites without anti-bot blocks.

Batch Table Processing

Run thousands of spreadsheet rows through multi-step AI prompts simultaneously.

Custom Python Code Blocks

Insert custom Python functions directly into visual automation flows.

Use cases

Scraping competitor pricing, product catalogs, and directory data at scale
Automating outbound lead list research, enrichment, and personalized email drafting
Processing thousands of customer survey responses and categorization tags in bulk
Building internal AI-powered data pipelines triggered via webhooks