How it works: from a description to a sourced lead list

Step 1: describe your customer

Industry, place, size and who you want to reach. Good briefs are specific: 40 independent HVAC companies in Texas with 5-50 staff. Owner name, email, phone, website, and one line on what makes them relevant. You can also attach a CSV or Excel file (up to 5 files, 50 MB each) to enrich or to exclude. Attaching is optional.

The more precise the target, the better the list. Name the geography, the size range, what a good fit looks like and what to skip ("no franchises", "exclude the attached list").

Step 2: it researches

It finds candidates with web search, then opens each company website to check it truly fits. Companies that do not fit are dropped, and the summary says how many. It reads public pages the way a person would, at under one request per second per site, and respects robots.txt. It does not log in, fill forms or sign up for anything.

Step 3: your list

You get an Excel sheet (frozen header, filter, clickable links) and a CSV. Duplicates are removed by domain and five rows are re-checked against their sources before delivery. The summary states rows delivered, how many have a named contact and how many candidates were dropped for not fitting.

A real test run

We ran a test for Austin HVAC companies: 12 rows in 5 minutes. It is a small test, not a benchmark, and the number of rows you get depends on how many real matches exist for your target. A narrow niche in one city returns fewer rows than a broad one in a state, and the service says so rather than padding.

Rules it follows

• No LinkedIn, Facebook, Instagram, Indeed, Glassdoor, ZoomInfo, Apollo or other sites whose terms forbid automated access.
• Business contacts only, in their professional role. Requests for lists of private individuals are refused.
• For targets in the EU or UK only company-level addresses (info@, sales@) are included.
• Personal email patterns are never guessed unless you ask, and then they are marked "inferred, unverified".

Worked brief, start to finish

Brief: 30 independent roofing contractors in Phoenix, AZ with at least 2 trucks visible or a crew page. Owner name, email, phone, website, one relevant fact. Exclude the attached list of existing customers. The service finds candidates, opens each website, drops anyone who is a franchise or has no sign of a crew, removes anyone in the exclusion file, and returns up to 30 rows. The summary might read: 27 rows delivered, 14 with a named contact, 9 candidates dropped for not fitting. The numbers you actually get depend on the niche, which is why the summary reports them instead of promising them.

What to change if you get too few: widen the area, relax the size condition, or accept company-level contacts.

What takes the time

Most of the effort in list building is not finding names but checking fit: opening the site, confirming what the business does, reading the contact page, and writing down the source. That is what each row has gone through before it reaches you, and it is why a list tops out at around 50 rows. Speed comes from doing it company by company in parallel with a researcher that never gets bored, not from skipping the check.

How to check a list in ten minutes

1. Sort by confidence and look at how many rows are published versus company-level.
2. Click five source links. The row should match the page.
3. Read the why_they_fit column: it should be a fact you could verify, not praise.
4. Run the emails through a verifier before sending at volume.

If the list misses your target, say how in your note: the two rounds of changes exist for exactly this. Compare plans on pricing or read the FAQ.

Describe your customer and start a list. 14-day refund if it misses, two rounds of changes, cancel any time.

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