Web scraping and AI automation for B2B teams. We build it, and we keep it running.

Mint Data does two things. We design and operate custom web data pipelines that collect, clean, and deliver external data on schedule: competitor pricing, market and competitive intelligence, product data, lead enrichment, and AI-ready datasets. And we build custom AI applications, agents, and assistants that automate work on the data you already have, on the data we collect, or on both. You can hire either service on its own, and both can run as a managed service after launch.

Mint Data is headquartered in Bogotá, Colombia, and works with B2B teams in the US, the UK, Europe, and Latin America: typically commercial directors, operations leaders, data teams, and CEOs who need reliable external data or automation without building and maintaining the systems internally. We have delivered for Nielsen, McKinsey, Panasonic, Carlyle Investments, Almacenes Tía, GetYourGuide, Payjoy, Swiss Residence Group AG, Airis Labs, Kaoh Media, Profitero, and Welli.

Infrastructure providers such as proxy and API vendors give you building blocks that your team still has to assemble and maintain. Other managed scraping vendors deliver the data. Mint Data delivers the data and the numbers behind it: records delivered, field completeness, validation pass rate, duplicates removed, and the time of the last successful collection per source. Before we build, you receive a written review of source terms. After launch, a named engineer owns your pipeline.

Yes. An AI project can run entirely on data you already have: documents, CRM records, support tickets, internal databases. We scope the use case, confirm the data can support it, build the application or agent, and keep it running. Web data enters only when the problem needs it.

Many projects move from first conversation to an initial sample or proof of concept in 2–6 weeks, depending on source complexity, volume, data quality requirements, and delivery format. Full production pipelines typically require a separate implementation timeline of 4–12 weeks. We share a clear timeline before any work begins.

Each engagement is custom-scoped, so there is no fixed price list. Most of our work falls into one of three structures: a fixed-price proof of concept, an ongoing monthly retainer for managed data pipelines, or a milestone-based delivery for full-build projects. We share a written proposal with clear pricing before any work begins.

Web scraping depends on the source, the type of data, the jurisdiction, and the intended use. Mint Data focuses on responsible collection from public sources and evaluates each project for source terms, data sensitivity, copyright, privacy, and applicable regulations such as GDPR and CCPA. When data requires consent, licensing, or another authorized access path, we use the appropriate channel. We do not collect personal data without a valid lawful basis.

A 30-minute discovery call. We ask about the business question you are trying to answer, the data or process involved, and the systems it needs to connect to. We share how we would approach it, what is feasible, and whether we are the right partner. No pitch, no slides, just a working conversation.