Scalelist Review 2026

Last reviewed September 2026 by Théo Pascard

Scalelist

Scalelist

LinkedIn extraction with emails and mobiles on one credit

Overview

Scalelist pulls leads out of LinkedIn — via a Chrome extension or from your own spreadsheets — and finds their work emails and mobile numbers on the same credit balance. The pricing is deliberately simple: one credit per lead extracted, one per email found, twenty for a mobile, sold in monthly packs from $99 for 5,000. Its public record is thin and flattering, twelve G2 reviews all at five stars, so treat the rating as an early signal rather than a verdict and test the match rate on your own list before committing a month.

Enjyn Score

iWeighted across 5 axes, computed from public review data (G2, Capterra) and reweighted on our rubric — then overridden on the axes we operate first-hand.
10.0/ 10
Output quality10/10
Time-to-value10/10
Price-to-value10/10
ICP fit (SMB / founder)10/10
Reliability & support10/10

How we calculate the Enjyn Score →

Who it's for

  • SDRs and founders building lists straight from LinkedIn searches
  • Teams that want extraction and enrichment on one credit balance
  • Agencies running list building for several clients
  • Buyers who want a published price rather than a sales call

Not for

Teams needing a searchable database rather than LinkedIn extraction · Anyone calling mobiles at volume — twenty credits each adds up fast · Buyers who need a long public track record before they commit · Sending: it finds the data, it does not run the campaigns

Capabilities

  • Lead extraction from LinkedIn via a Chrome extension
  • Enrichment from your own spreadsheets
  • Work email finding, one credit per email
  • Mobile number finding at twenty credits each
  • One credit balance across extraction and enrichment
  • CRM integration

Ratings & reviews

5
12 reviews ↗

👍 Pros

Accurate Data 4Time-saving 3Lead Generation 2Data Accuracy 2Easy Setup 1

👎 Cons

Poor Design 1

Pricing

TierPriceCredits / moNotes
FreeFree2020 credits to try, no card required.
5,000 credits$99/mo5,000$99/month for 5,000 credits, or two months free on yearly billing. One credit per lead extracted or per email found; a mobile number costs 20 credits.
CustomCustomAbove 100,000 credits, quoted with dedicated support.

The honest take

Where it breaks

The public record is the main limit: twelve reviews, all five stars, is not enough evidence to bet a quarter's list building on. The credit model is also unforgiving on phone data — twenty credits per mobile means a phone-heavy motion burns a $99 pack in a few hundred numbers. And it captures from LinkedIn rather than from a database, so it cannot answer a firmographic query you have not already run on LinkedIn.

The verdict

A simple, cheap and honestly priced capture layer for teams building lists out of LinkedIn, with a credit model that is easy to reason about. The rating is flattering and thin, so treat the first month as a test: measure the email hit rate on your own ICP before scaling, and watch the twenty-credit mobiles.

Alternatives

Head-to-head

FAQ

How much does Scalelist cost?

From $99 per month for 5,000 credits, with two months free on yearly billing and 20 free credits to test. Above 100,000 credits it is quoted.

What does a credit buy?

One lead extracted or one email found costs one credit; a mobile number costs twenty. So a list of 1,000 contacts with emails is roughly 2,000 credits, and the same list with mobiles is an entirely different budget.

Is a 5.0 rating on G2 a good sign?

It is a young signal, not a verdict. Twelve reviews all at five stars tells you early users are happy and nothing about how the data holds up at volume. Run it on a few hundred of your own contacts and measure the hit rate yourself.

Does it replace a B2B database?

No. It works from LinkedIn searches and your own files rather than from a searchable database, so it is a capture layer, not a source you can query by firmographics.

Can I send from it?

No. It finds and enriches; the sending belongs to a cold email platform.

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