#b2b

A written customer profile and a prospect list. Companies are filtered first, then people. Every email has a source. You spot-check the list, then send to a small batch.

Use when the user wants a prospect list, a target company list, or wants to know who to contact at a certain type of company. The agent queries the people and company data sources in Firecrawl Alexandria, finds companies first, then people, and fetches work emails only for the shortlisted people. The output is a ranked table or CSV with a source on every row, and it can run weekly to show only new prospects. It never guesses emails, looks up personal contact info or sends outreach, and it quotes the cost before spending credits. Use case: Have your agent build a verified, sourced B2B prospect list from your customer profile.

Use when the user wants public information about businesses of one type in one place (name, address, phone, website, rating, reviews, and optionally public emails on the website) for B2B lead generation or local market research. Runs an open-source scraper in Docker on the local machine. Explains Google's terms and local legal risks first, runs a one-query sample before a full run, and returns only public business information, with cleaned emails labeled unverified. Use case: Have the Agent turn the public information about one type of business in one place into a customer list.

Say what kind of business to find and where, and get a cleaned business table with website, phone, rating and reviews.