Company Enrichment Without the Per-Credit Tax: Website to Firmographics JSON With an LLM
Most of what B2B enrichment vendors sell is information companies publish about themselves, for free, on their own websites. What you're paying per-credit prices for is mostly the reading. I noticed this while burning through enrichment credits on accounts that turned out to be obvious non-fits — agencies when I needed SaaS, enterprise when I needed SMB. The data that would have disqualified them…
Most B2B enrichment vendors provide information that companies publish about themselves for free on their own websites. Customers pay per-credit prices for the reading, rather than the valuable data that would have disqualified non-fits in seconds. Using an LLM on company websites to fill out a fixed schema can extract firmographics, business models, pricing models, ICP summaries, tech stack hints, hiring signals, contacts, and social links for around a cent per company.
The extraction process involves fetching the homepage, parsing internal links, selecting useful pages, stripping HTML, and making a single LLM call with a strict JSON schema. This approach can save significant costs compared to credit-based AI enrichment plans, which can cost $0.75–1.50 per row. However, there are failure modes to consider, such as hallucinated firmographics, issues with JS-only websites, personal data temptation, and URL normalization challenges.
The author has packaged this process as an Apify Actor for easy integration into existing workflows.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
