Two tools built for one job: getting clean contact data out of LinkedIn Sales Navigator.
Evaboot and Wiza solve the same problem: you have a saved search in LinkedIn Sales Navigator and you want those contacts in a spreadsheet with verified emails. Both plug into Sales Nav, both export contact data, both find emails. The differences are in data quality, cleaning, and workflow. Neither replaces a full enrichment stack, but both save hours of manual export work.
Data cleaning
Evaboot's differentiator is automated data cleaning on export. It strips emojis from names, normalizes job titles (removing ALL CAPS, trailing characters, self-promotional taglines), detects when a prospect no longer works at the listed company, and flags mismatches between the Sales Nav filter and the actual profile. Wiza exports the data mostly as-is from LinkedIn. If you have ever exported a Sales Nav list and spent an hour cleaning up job titles like 'CEO | Keynote Speaker | Forbes 30 Under 30 | Dog Dad', Evaboot handles that automatically.
Email finding
Both tools find emails during export. Wiza has historically emphasized email verification as a core feature — verified emails are part of the export by default. Evaboot added email finding more recently and includes it in all paid plans. In practice, both pull from similar data sources and deliver comparable email find rates. Neither replaces a proper email waterfall for high-stakes campaigns, but both are good enough for initial prospecting lists.
User experience
Wiza has a slightly simpler interface — fewer options, faster to get started, less configuration. Evaboot has more settings and filters, which gives you more control but adds a small learning curve. Both are Chrome extensions that work inside Sales Navigator. Wiza also supports regular LinkedIn search (not just Sales Nav), which Evaboot does not.
| Evaboot | Wiza | |
|---|---|---|
| Data cleaning | Automatic — emojis, titles, company mismatches | Minimal — exports raw LinkedIn data |
| Email finding | Built in on all plans | Built in — core feature |
| Works with | Sales Navigator only | Sales Navigator + regular LinkedIn |
| Company mismatch detection | Yes — flags stale job data | No |
| Pricing | $29–99/month | $30–100/month |
| Learning curve | Moderate — more settings and filters | Low — simpler interface |
| CRM integrations | CSV export, HubSpot, Salesforce | CSV export, HubSpot, Salesforce, Outreach |
| Best for | Teams that need clean, campaign-ready data without manual scrubbing | Teams that want the simplest possible Sales Nav export path |
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The verdict
Evaboot for teams that feed Sales Nav exports directly into campaigns or CRMs and cannot afford to spend time cleaning data manually. The automatic title normalization, emoji stripping, and company mismatch detection save real hours on every export. Wiza for teams that want the simplest possible workflow — install the extension, run the export, get emails. If your downstream process already includes data cleaning, Wiza's simpler UX is the better fit. Price is essentially the same, so the decision comes down to whether you value automated data cleaning or a simpler interface.
Do I need Sales Navigator to use either tool?
Evaboot requires Sales Navigator — it only works within the Sales Nav interface. Wiza works with both Sales Navigator and regular LinkedIn search, which makes it more accessible if you do not have a Sales Nav subscription. For serious prospecting at scale, both tools deliver their best results with Sales Nav.
How accurate are the emails these tools find?
Both claim 70-80% email find rates, which is consistent with what we see in practice. The emails are good enough for initial outreach lists but should still be verified through a dedicated email verification service like BounceBan before being loaded into a live campaign. Neither tool's email finding replaces a proper waterfall approach for high-value campaigns.
Can I use these tools without getting my LinkedIn account restricted?
Both tools operate within LinkedIn's interface via Chrome extensions, and both include rate limiting to stay under LinkedIn's detection thresholds. The risk is low for normal usage volumes — a few hundred exports per day is generally safe. Running thousands of exports per day or using multiple automation tools simultaneously increases the risk of LinkedIn flagging your account.
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