Use case
Pull every company in a market across the database and the live scrapers, deduped into one total addressable list with contacts attached.
You need every company in the market, not a sample: every medical spa in Texas, every Shopify apparel brand, every mid-market SaaS in the UK. One database rarely covers a market end to end, and stitching a database export together with a few scrapes by hand leaves you with duplicates, missing contacts, and no clean count of what you are working with.
Define the market once, pull from every source, then merge into a single deduped list.
Filter by industry, company size, location, and job title to pull the core of your market with contacts already attached. This is the fast base layer of the TAM.
Catch every local business in the market that a contact database misses: name, address, phone, website, and category, straight from the map results.
Add the ecommerce side of the market by platform, category, and installed apps, so online brands are represented alongside the database records.
Pull pre-built local and small-business records across many cities at once, without setting up a separate scrape for each one.
One deduped CSV of every company in the market, one row each, with the most complete contact record from any source and a column noting where it came from.
| Company | Domain | Contact | Source |
|---|---|---|---|
| Lone Star Medical Spa | lonestarspa.com | owner@lonestarspa.com | Maps |
| Radiance Aesthetics | radianceaesthetics.com | hello@radianceaesthetics.com | Database |