Data
Gumbo is a no‑code data extraction platform that automates human‑like browsing to pull structured information from websites. Users can build market‑research datasets, generate sales leads, or monitor competitors without writing custom scrapers, as the system navigates multi‑step pages and returns clean, organized data. The platform integrates with spreadsheets, allowing teams to retrieve the exact data they need through an intuitive, conversational interface.
- Artificial Intelligence
- Enterprise Software
Funding
Founders
Product
Problem
Collecting specific information from websites often requires writing custom web scrapers or hiring technical staff, which is time‑consuming and costly. Non‑technical users lack tools to reliably navigate multi‑step pages and extract structured data for market research, sales prospecting, or competitor analysis.
Solution
Gumbo offers a no‑code platform that automates web data extraction by mimicking human browsing behavior. Its agentic browsing engine performs multi‑step, row‑level navigation to locate and pull buried data points without any programming. Users interact with the system through an intuitive interface, specifying the desired fields and letting Gumbo handle the navigation and extraction. The service returns clean, structured datasets that can be downloaded or integrated directly into spreadsheets and other analysis tools. By eliminating the need for custom code, Gumbo reduces the time and expertise required to build and maintain web scrapers.
Target Audience
Primary users are market researchers, sales and business development teams, and competitive intelligence analysts who need reliable web data without relying on developers or custom scraping scripts.
Features
- Agentic browsing engine that conducts human‑like, multi‑step navigation for each data row
- Fully no‑code interface allowing users to define extraction rules by point‑and‑click or natural language prompts
- Automatic cleaning and structuring of extracted data into tabular formats compatible with spreadsheets and databases
- Real‑time monitoring of extraction jobs with error handling and retry logic for dynamic websites
- Export options for CSV, Excel, and API endpoints to integrate data into downstream workflows