Riveter provides an AI‑driven platform that automates web data extraction from start to finish. Users submit natural‑language prompts and the system searches, navigates, and scrapes the open web to deliver structured datasets—such as company lists, contact profiles, or change‑monitoring signals—via a credit‑based API, eliminating the need for custom scrapers and ongoing maintenance.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Building web data pipelines typically requires weeks of custom development, fragile scrapers, and ongoing maintenance, leading to stale or incomplete data and high engineering overhead.
Solution
Riveter provides a fully automated web data extraction platform that eliminates the need for hand‑crafted scrapers. Users submit natural‑language prompts, and Riveter’s AI‑driven agents search the web, navigate pages, and extract structured data such as company lists, contact profiles, or change‑monitoring signals. The service delivers results via a credit‑based API, handling SERP queries, page scraping, image and PDF extraction, and proxy management without user‑level code. By abstracting the entire pipeline—from discovery to enrichment—Riveter enables teams to build and scale datasets quickly, with built‑in data freshness and reliability. The platform integrates with existing workflows through API endpoints and supports custom integrations for enterprise customers.
Target Audience
Primary customers are growth, marketing, and data‑engineering teams that need large‑scale, up‑to‑date web‑derived datasets for lead generation, market research, and competitive intelligence.
Features
- Prompt‑driven agent searches that autonomously browse, locate, and extract target information from the open web
- Unified API supporting SERP, HTML scraping, image OCR, PDF parsing, and proxy rotation
- Credit‑based pricing per action (e.g., 1 credit per search, 0.05 per page scrape, 2 credits per contact lookup)
- Built‑in change‑monitoring to detect updates to previously collected records
- Scalable list building with support for 50‑to‑10,000‑row datasets and enrichment per row
- Custom integration and white‑glove onboarding options for enterprise deployments