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Run data workflows for every client on one plan.

Agencies use VoxScrape to deliver lead lists, contact enrichment, and competitor research as a repeatable service — without building custom scraping infrastructure.

Why agencies use VoxScrape

Agencies have an economics problem that in-house teams do not. Every client needs the same categories of data work — lead lists, contact enrichment, competitor research — but per-seat tooling prices as though you were one company, and custom scrapers price as though every client were a software project.

The result is that data work is either unprofitable or unreliable. Teams either eat licence costs across accounts that do not each justify them, or maintain a set of brittle scripts that break silently whenever a platform ships a redesign.

VoxScrape prices per result on a shared balance, so the same infrastructure serves ten clients without ten licences, and the maintenance burden of keeping collection working is not yours.

Who this is for

Lead-generation and outbound agencies delivering prospect lists as a recurring service rather than a one-off project.

Full-service and growth agencies whose competitor research and audience insight currently run on manual work nobody wants to scope.

Freelancers and small consultancies who need the capability of a data team without the fixed cost of one.

Sound familiar?

Per-seat tools don't scale when you're managing 10+ client accounts.

Why it happens: Seat pricing assumes one company with one target market. An agency serving twelve clients needs twelve different targeting configurations, and either pays for a seat tier sized to the largest client or juggles logins in a way that breaks attribution and billing.

What changes: One credit balance serves every client. There is no per-seat charge and no per-client licence, so the cost of adding an account is the cost of the runs it needs — a number you can put directly into the proposal.

Building custom scrapers for each client is expensive and fragile.

Why it happens: A bespoke scraper is a software asset with an ongoing maintenance liability. It breaks when a platform changes, usually silently, and usually the week a client deliverable is due. One engineer ends up owning knowledge nobody else has.

What changes: Seventeen maintained sources cover the platforms most client work touches. When an upstream platform changes, keeping collection working is our problem rather than a Friday-afternoon emergency for your team.

Clients expect fresh data — weekly or daily — not a one-time export.

Why it happens: A quarterly export is an artefact; recurring data is a retainer. But recurring delivery only works if each refresh is cheap and predictable, and hand-assembled research is neither.

What changes: Because a refresh is just another run at a known per-result price, weekly delivery has a calculable cost. That is what converts an unpredictable project into a monthly line item with a defensible margin.

What a week actually looks like

A new client brief arrives on Tuesday: dental practices in three metro areas, contact details, ready for a cold email campaign. Maps Email returns roughly 200 qualified businesses with published addresses in a single run.

For a second client selling into SaaS, a Leads Finder run with tight title and headcount filters produces a few hundred contacts, then AI scoring against that client's specific ICP profile ranks them before delivery.

A third client wants a monthly competitor readout. Twitter and Reddit runs collect mentions, Intent Detection flags the meaningful ones, and the Post Summarizer produces the thematic section of the report.

All three run from the same credit balance on the same afternoon. The cost of each is a known number that goes straight into the client's line item, which is what makes the service package priceable rather than a guess.

What it costs in practice

Per-client monthly costs are concrete. A local lead-gen client at 200 Maps Email results costs 3,000 credits. A B2B client at 300 Leads Finder contacts with AI scoring costs roughly 900. A monitoring client on Twitter and Reddit costs a few hundred.

Pro's 50,000 monthly credits therefore supports a meaningful book of recurring data work, and top-up packs cover the month a client asks for something unusually large without forcing a plan change.

The margin question answers itself once the input cost is a known number. Most agencies find the constraint is analyst time rather than data cost — which is the correct problem to have, and the one AI scoring and summarisation directly address.

Frequently asked questions

Can I use one account across multiple clients?
Yes. One credit balance covers all of them, with no per-client licence. Runs are recorded in your history so you can attribute cost per client for billing.
How do I price this into a retainer?
Work backwards from credits. Each source has a published per-result cost, so a defined monthly deliverable has a calculable input cost. Most agencies mark up on the analysis and delivery rather than on the data itself.
What happens if a source breaks?
Maintaining collection is our responsibility, not yours. And if a run fails, the credit hold is released back automatically — a broken source costs you nothing beyond the delay.
Can I white-label the output?
Exports are plain CSV and JSON with no branding, so they drop straight into your own reporting. Reselling access to the platform itself requires a written agreement — see the terms.
What if one client needs far more volume one month?
Top-up packs are available on Starter and above and are added to a separate balance. That covers a spike without moving the whole account to a larger plan permanently.

Built for agencies. Ready today.

Scout from $10/mo. No seat fees. Credits only charged for results returned.

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