Is Scrape.Email the right lead tool for your agency?

Start with what the tool actually replaces. Scrape.Email finds business leads by role, industry and location, scrapes public pages and profiles, enriches and verifies contacts, then lets you run campaigns from the same workspace. For an agency with six or seven clients, that means one place to build lists and send, with the prospect source recorded alongside the campaign.

The value question is separation, not speed. Your biggest objection is a shared inbox that mixes clients together, so judge the tool on whether each client's sending and lead origin stay distinct. Saved leads, API access and webhooks matter here because they let you keep a record of where every contact came from rather than retracing a spreadsheet later.

Pricing comes as three lifetime tiers: Prospector, Agency and Enterprise, published on softwareprogrammer.app. The names suggest an intended split by scale, but the brief gives no feature breakdown per tier, so read the publisher's own table before you assume which tier covers multi-client work. Treat the tier label as a starting question, not an answer.

Between the tiers, the practical dividing line is likely volume and access rather than a different product. The brief confirms filters, scraping, enrichment, verification, API, webhooks and saved leads as capabilities of the tool, and names three lifetime tiers, but it does not state which capability sits in which tier. Ask the publisher directly how many client workspaces and how much credit each tier includes.

Because credits are used by successful work, the line you should draw is your monthly completed volume across all clients. A single client campaign is a small draw; six or seven running in parallel is not. Estimate completed searches, enrichments and verifications per client, add them, and compare that figure with the tier you are considering rather than with a competitor's headline.

Agency sits in the middle of the three published names, which is worth noting but not worth over-reading. The honest position is that the brief does not describe tier differences, so any dividing line you draw should come from the publisher's table and a direct question about client separation, not from inference about what a middle tier usually means.

Before paying, confirm how client sending is kept apart inside one workspace. The objection you raised is a shared inbox blending clients, so ask whether campaigns, saved leads and sending identities can be held separately per client, and how that separation appears in reporting. If the answer is vague, the tool does not solve your main problem, however good the scraping is.

Second, check the provenance trail. You need to prove where every lead came from, so ask how saved leads, webhooks and API output record the source page, the filter used and the date. A verified contact without a recorded origin is hard to defend to a client who asks how you found them, and harder still if the list is reused months later.

Third, test coverage against your actual client sectors. Results depend on public data, so a niche with little published information will return thinner lists. Run a small search in each client's market before you buy, and check that verification output tells you when a contact was checked, since a verified address is accurate at that moment and not permanently.

Work the decision in stages rather than buying the largest tier first. Pick one client, run a narrow search by role, industry and location, enrich and verify the results, and send from a campaign inside the workspace. That single cycle shows you the real yield, the credit cost of completed work, and whether separation holds when you add a second client to the same account.

Then repeat with a second client whose market differs. The comparison tells you more than any tier description: one sector may return generous lists while another is thin, and your credit forecast should reflect the weaker case, not the stronger one. Record what each run cost so the tier choice rests on measured volume rather than a guess about average list size.

Only after those two runs should you compare Prospector, Agency and Enterprise against your six or seven clients. Bring the publisher's table, your measured per-client volume and your separation questions to that comparison. If a tier cannot hold each client's campaigns and lead history apart, the upgrade is not an upgrade for your agency, whatever the label says.