Web data extraction platform using AI-powered browser agents
Nimble extracts structured data from dynamic websites by running purpose-built agents that browse and render pages like humans would. The stack—Chromium, Puppeteer, Playwright, LangChain, Python—reveals a company solving the hard problem of reliable web scraping at scale; the active Chromium fork maintenance signals they've hit platform limits and are customizing the browser layer itself. Sales-led hiring (10 open roles) paired with simultaneous investment in customer success and research suggests they're scaling a land-and-expand motion while fighting churn and incomplete-data issues internally.
Notable leadership hires: Customer Success Director
Nimble transforms live web content into structured, real-time datasets for enterprise teams. The company targets use cases like competitive pricing intelligence, digital shelf monitoring, and marketplace analysis—all dependent on accurate, current external data. Founded in 2021 and based in New York with 51–200 employees, Nimble operates as a privately held software company. The product sits between browser automation (Chromium, Puppeteer, Playwright) and data infrastructure (Python, LangChain), enabling customers to monitor volatile web sources without brittle, maintenance-heavy scrapers. Active hiring in the US and Israel reflects expansion in go-to-market and engineering capacity.
Nimble uses Chromium, Puppeteer, Playwright, and Python for core web extraction. The platform integrates LangChain for AI agent logic, Salesforce and Salesloft for sales infrastructure, and n8n for workflow automation. They maintain a proprietary Chromium fork to handle complex rendering requirements.
Nimble is headquartered in New York, NY. The company actively hires in the United States and Israel, with current open roles spanning sales, support, research, and engineering functions.
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