Gumbo is a no‑code data extraction platform that uses human‑like, multi‑step browsing to collect and structure web data. It lets users define extraction rules via a point‑and‑click UI or spreadsheets, then returns clean, ready‑to‑analyze datasets for market research, lead generation, and competitor monitoring without any programming.
Funding
Funding not disclosed
Founders
Product
Problem
Collecting web data often requires writing custom scrapers or hiring developers, which is time‑consuming, error‑prone, and inaccessible to non‑technical users. This limits the ability of businesses to quickly build market‑research datasets, generate sales leads, or monitor competitors at scale.
Solution
Gumbo offers a no‑code data extraction platform that mimics human browsing to locate and retrieve information from websites. Users interact with an intuitive interface—often via spreadsheets—to define the data they need, and Gumbo’s agentic browsing engine performs multi‑step navigation to capture even deeply nested data points. The extracted information is returned in clean, structured formats ready for analysis, eliminating the need for custom code or technical expertise. By automating the entire workflow, Gumbo reduces the time and effort required to build reliable web‑derived datasets.
Target Audience
Primary customers are market researchers, sales and lead‑generation teams, and business analysts who need web data but lack programming resources.
Features
- Agentic browsing that performs multi‑step, human‑like navigation to reach buried data on each record
- Fully no‑code UI allowing users to specify extraction rules through simple point‑and‑click or spreadsheet inputs
- Automatic cleaning and structuring of scraped data into tables, CSV, or API responses
- Scalable extraction that can handle large volumes of pages without manual intervention
- Integration with common spreadsheet tools for easy data import and export