Eric Ciarla
Minimal runs nearly six million storefront pages a month through Firecrawl, turning live product and policy content into LLM-ready data its AI support agents can answer from.
What is Minimal? Minimal is a YC-backed AI customer support platform for e-commerce brands. Its AI agents resolve up to 90% of customer support tickets for growing brands including XXL Nutrition, Cloudpillo, and Boombrush.
Storefronts come to us in every shape imaginable, and no matter the complexity, Firecrawl turns each one into clean, structured data our AI support agents can answer from.
— Niek Hogenboom, Co-Founder, Minimal
Why is the store itself the best training data for an AI support agent?
Almost every answer a customer needs is already published somewhere on a merchant's website. The challenge is that it is rarely all in one place. Sizing details live on product pages, refund rules in the returns policy, and delivery estimates in the shipping terms.
For an AI support agent to resolve tickets at human-level quality, it needs a deep understanding of that entire business. Minimal starts with the merchant's own storefront, using Firecrawl to turn scattered products, policies, and help content into clean, structured data its agents can use.
That foundation helps Minimal's AI support teams resolve up to 90% of incoming tickets end to end while staying grounded in the information customers see on the live store.
How does Firecrawl handle every storefront platform?
Minimal's merchants run on Shopify, Magento, Lightspeed, and storefronts built in-house. Each platform renders pages differently, and every merchant customizes its storefront with its own theme and layout.
Building scraping for all of that in-house would turn every onboarding into an engineering project, when Minimal's promise to merchants is setup in hours, not weeks.
Instead, Minimal sends storefront pages through Firecrawl's /scrape endpoint. Firecrawl handles the differences between platforms and returns clean markdown no matter how the underlying site is built. Minimal can feed that output into its existing data pipeline without writing a new scraper for every merchant.
What does Firecrawl look like at Minimal's scale?
Minimal's Firecrawl usage has grown 13x in fourteen months, reaching more than six million pages a month. Every new merchant adds another storefront, product catalog, and set of policies that Minimal needs to keep current.
Scheduled refreshes re-scrape those storefronts as products, promotions, and policies change. Instead of answering from a snapshot captured during onboarding, Minimal's agents stay aligned with the live store.
In June 2026 alone, Minimal sent more than six million requests through Firecrawl across more than 1,000 domains. Firecrawl gives the team one dependable ingestion layer across that entire footprint, so Minimal can keep focusing on the quality of its support agents rather than the complexity of scraping each storefront.
Ready to power your AI application with reliable web data? Try Firecrawl and ship faster.
Frequently Asked Questions
How does Minimal use Firecrawl?
Minimal scrapes each merchant's storefront so its AI support agents can answer from the store's live content. Nearly every request goes through the /scrape endpoint, which returns each page as clean markdown, while scheduled refreshes pick up new products and policy updates.
How does Firecrawl give Minimal an edge in e-commerce support?
Minimal is built for stores whose support logic never stops changing, with products, promotions, and policies shifting week to week. Because Firecrawl re-scrapes each storefront on a schedule, Minimal's AI agents answer from the current store rather than a snapshot taken at onboarding.
How much web data does Minimal process with Firecrawl?
In June 2026 alone, more than six million requests went through Firecrawl, reaching pages across more than 1,000 domains.
