WizLeads
The Sales Navigator export limit is 2,500 results per people search and 1,000 per company search. The cap applies to each search, whatever the day or the account. Run a search matching 40,000 prospects and Sales Navigator will show you, and let any tool export, exactly 2,500 of them. The other 37,500 exist behind a wall the interface never acknowledges. This post covers every limit that applies, why the workarounds vendors advertise mostly mean "you do the splitting," and how to get a full-territory export in one run.
Every limit that applies, in one table
| Limit | Value | Applies to |
|---|---|---|
| People search display cap | 2,500 results (100 pages × 25) | every search, every plan |
| Company search display cap | 1,000 results | every search, every plan |
| Lead list size | 1,000 leads per list, 10,000 saved in total | Sales Navigator lists |
| Commercial Use Limit | monthly search quota on free accounts, undisclosed and reset on the 1st | free accounts; a paid seat lifts it |
| Profile-view velocity | undisclosed, activity-based, daily | any account, including paid |
| Tool daily quotas | commonly ~2,500 profiles/day | imposed by scrapers, not LinkedIn |
The two caps that bite are the display caps and the velocity limits. The display cap bounds how much one search can ever yield, and a company search spreads its 1,000 results across 40 pages of 25. LinkedIn's help page on the limit says it "ensures the accuracy of your 1st-degree connections, and streamlines your 2nd and 3rd-degree connections." The velocity limits bound how fast any tool working through your account can move before LinkedIn restricts it, which is why extension scrapers ship with daily quotas to protect the account.
Why the cap costs more than it looks
Most teams meet the cap and respond by manually splitting searches: one search per US state, or per headcount band, or per industry. It works, and it is what most export tools' help docs tell you to do, but it has three costs.
Your hours. A 40,000-result ICP needs at least 16 sub-searches to fit under the cap, and every one of them has to be built, saved, exported, and tracked by hand. With filter combinations that do not divide evenly, real segment counts run higher.
Overlap and gaps. Splits on industry or title are not partitions. Companies span industries and people hold multiple titles, so merged exports carry duplicates while other prospects fall between segment definitions and never get exported at all.
Stale coverage. Because manual splitting is tedious, teams do it once a quarter and then work old data. B2B contact data decays as people change jobs, faster than a quarterly refresh keeps up with. You eventually measure it in bounce rates.
The three ways past the cap
1. Manual filter splitting
Slice by geography, then headcount, then industry until every segment is under 2,500. Free and universally compatible with whatever export tool you use. The costs are the ones above: hours, duplicates, and gaps. Reasonable for one-off exports of mid-size territories.
2. Tool-assisted splitting with daily quotas
Some extension tools frame the cap as handled because they let you export 2,500 per day across days, or split a search along one filter without splitting again (Lobstr's Split Search; Evaboot spreads exports across daily quotas). You still design the segments or lose what a one-level split misses, the export still executes through your LinkedIn session, and multi-day exports mean multi-day exposure of your account to velocity detection.
3. Algorithmic URL splitting, server-side
The cap is mechanical, so the fix can be too. WizLeads' Smart Link Splitting takes a search URL of any size, checks the lead count and splits it into chunks of 2,000 results or less, so you never lose results. A 40,000-result search is one paste-and-run job: no segment design, no daily babysitting, and in account-less mode none of it touches your LinkedIn session, so the velocity limits that justify daily quotas do not apply to you. Enrichment and verification run in the same pass. Automatic splitting sits on the Agency plan and above, so evaluating that part means starting on Agency.
Practical guidance if you split manually
Rules that keep manual splitting sane at volume:
- Split on the filters that overlap least first. Geography and company headcount bands split most cleanly, though some people still land in two segments; industry and title overlap more.
- Aim segments at 1,500 to 2,000 results, not 2,400. Search counts are estimates and segments drift over the cap between design and export.
- Dedupe on LinkedIn profile URL, not name. Names collide constantly at territory scale.
- Log segment definitions in a sheet with export dates, so each refresh reruns the same partition.
- Re-verify anything older than 30 days before it enters a campaign.
