A recurring 500-profile task needs usable rows and enough context to distinguish this run from last week's. A search counter, completed import and destination-ready CSV are different outputs.

Here, 500 is a planning scenario, not a product limit or promised result. The finished job is a reviewed file: useful identity links, the fields your destination needs, exclusions applied and a record of the source. The downloadable review sample uses fictional problem rows. It is separate from the actual ten-row export checked below.

Define what counts as a usable row

Write the audience rule and the destination before collection. For a CRM, you might require a checked profile URL, current role and company. A research sheet may accept a blank company but need a source batch and research status. The same row can be usable for research and unsuitable for outreach.

A 2026 recruiting discussion describes copying as a sourcing bottleneck. This is firsthand workflow pain, not speed or safety evidence. Our inspection process retains unknowns.

Record the search or filter notes, audience, date and batch. A suggested filename is sales-operations-uk_2026-10-12_batch-a.csv; this is not an automatically generated product filename.

Run the search-to-audience route

The product guide describes the route below. On 18 October 2026 we followed it from standard People search to an app audience and a downloaded CSV using an existing free account. Sales Navigator was not required for that search.

  1. Set up your free account and extension. Verify your email, then follow the app’s Extension page to install from the Chrome Web Store and sign in. The signup offer is described below; this check did not create a fresh account.
  2. Build a relevant People search. Review the actual people and the filters available to your account. LinkedIn’s People search guidance describes its filters and approximate counts.
  3. Collect a sample into an app audience. Use the extension’s quantity and audience controls. Check the displayed allowance and choose a recognizable destination for this job.
  4. Download CSV inside the app. Open the audience, choose Export to CSV and inspect the file. Preserve the original before editing.
  5. Count usable rows. Check identities, required fields and exclusions before handing the file to another system.

This check used standard People search. It does not verify full extraction of a saved Sales Navigator list. Inspect an initial export from the specific source before depending on it.

When the search is for a named account, use the actual company-field CSV comparison to review the supplied company and role labels against your brief. It preserves every observation; a label match is not employment verification.

Inspect fields rather than assuming completeness

The 18 October file contained 10 rows and these 11 headers. Only the header row is shown here; no prospect records are published.

full_name,first_name,last_name,linkedin_url,headline,company,position,location,avatar_url,created_at,civility

All ten linkedin_url values had a public-profile URL format and were distinct. The company column was filled in one row and blank in nine. There were no email or phone columns. Check the actual person and current employment separately; a URL format or populated field does not establish either.

The quantity control showed 1, while the audience and file contained 10 rows. That display needs clarification; this example does not establish a normal batch size or credit cost. It also did not test a fresh signup, the first 20-profile release or its timing, a 500-profile run, saved Sales Navigator lists or CRM import.

Map your own download to the destination’s required fields:

FieldCheck before using it
NameInspect compound names and any normalization before personalization.
Headline and job titleCheck current responsibility. A headline can include several jobs or promotional text.
CompanyKeep missing or uncertain company information visible; do not infer employment from a keyword.
LocationConfirm whether it is suitable for your geography rule.
Profile URLCheck the intended person and the link type before matching or import.

This workflow does not establish verified email addresses, phone numbers, budget or buying intent. If your next task needs verified contact details, use the separate email workflow. Neither a clean name nor a company domain verifies a guessed address.

Separate public profile URLs from Sales Navigator identifiers

A standard profile link normally has a path such as linkedin.com/in/...; a Sales Navigator lead link may have linkedin.com/sales/lead/... and identifiers your destination does not accept. A bare opaque ID is not a usable URL. Changing a prefix does not prove that the resulting link resolves to the same person.

LinkedIn's public profile URL guidance describes assigned and custom URLs. Keep the original exported value, then record a checked public URL separately when required. An opaque-looking value under /in/ still needs validation; a familiar path is not proof of identity.

Do not silently discard unresolved rows or merge them by name alone. If your destination requires public URLs, hold Sales Navigator links and uncertain IDs in REVIEW until a supported conversion or manual check supplies the right identity link. This guide does not claim that Leadsforlinked reliably resolves every opaque Sales Navigator identifier.

Download the fictional review sample

Download the synthetic export-review CSV

This file is demonstration data, not an app export. Its mapped headers are illustrative, its people and companies are invented, and its URL placeholders must not be contacted. It contains six rows: a public-pattern placeholder, its duplicate, a Sales Navigator link, an unverified opaque value under an /in/ path, a blank URL and a company-field gap. Inspect the url_review and review_note columns.

Use those cases to agree your review rules before editing a real file. A valid-looking URL pattern can pass a format check while still being a placeholder. The sample intentionally demonstrates why format validation, identity confirmation and field completeness are separate checks.

Repeat the task without losing the source history

Preserve each raw export and add missing source dates or batch labels to the working copy. Combine batches using equivalent trusted identifiers and retain conflicting values. A name match alone is weak identity evidence.

The merge task in the free workbench can reconcile contact exports. The exclusion task can separate contacts already present in a customer, CRM or suppression export. Inspect missing identifiers and conflict output before using the result. List cleaning does not create contact permission or fill missing emails.

Measure usable new rows after those steps. If you finish below the planning target, inspect the reasons before collecting more: inaccessible results, duplicates, incomplete identities or the audience rule may be responsible. When comparing later snapshots, a missing row means absent from that export; it does not establish that someone changed jobs.

Choose an allowance for the recurring job

The current signup offer is 100 profile leads once, no card, released in batches of 20. Use it to check whether the source and fields fit your work. The ten-row check above does not establish how a new account receives those batches or what happens at zero balance.

For repeated extraction, Basic costs €4.99/month on monthly billing and includes profile extraction, CSV export and audiences. A one-off job may suit a current lead pack. Check the offer in your account; “unlimited” in a plan description does not establish access to every profile or complete fields.

If the next job is contacting and managing that audience, Starter at €29/month on monthly billing adds one connected LinkedIn account, multi-step campaigns, an inbox, Kanban pipeline and analytics. Pro adds AI; Plus adds monitoring and three connected accounts in total. You can subscribe directly without buying a pack or exhausting the free allowance first. The free sample evaluates profile input, not paid campaign or AI execution.

When LinkedIn's native route is the better fit

Honest concession: if your team already has Sales Navigator Advanced Plus and needs supported CRM synchronization, LinkedIn's native CRM Sync may fit better than recurring CSV handoffs. Its current help page describes Salesforce, Microsoft Dynamics and HubSpot options, while stating that Sales Navigator has no CSV or XLS lead/account export.

For your own first-degree connections, LinkedIn also documents a native data archive route. That is a different job from exporting arbitrary search results. LinkedIn's prohibited-software policy prohibits scraping extensions and automation and describes account restrictions. Browser pacing does not create an exemption or a safety guarantee.

Sources and verification

Product check: 18 October 2026. One existing free account, standard People search, extension, app audience and a downloaded ten-row CSV. The header row and aggregate findings above come from that file; the downloadable six-row review exercise is fictional. Fresh signup, batch timing, large-volume and saved-list extraction remain untested.

Frequently asked questions

Can I export 500 LinkedIn profiles in one run?

Treat 500 as a planning target, not a guarantee. The usable output depends on accessible results, the installed extension, available allowance, duplicates and required fields. Inspect an initial export and measure usable rows before continuing.

Do I need Sales Navigator for the documented export route?

No Sales Navigator seat was required for the standard People-search route checked with one existing free account on 18 October 2026. That check produced 10 CSV rows; it does not establish full extraction of an arbitrary saved lead list.

Can I export a saved Sales Navigator list?

The checked route here is standard People search to extension to app audience to CSV. Full saved-list extraction is not verified. Check the route available in your installed extension and inspect an initial export from the specific list before relying on it.

Will every row have a public profile URL and complete company fields?

Do not assume that. Inspect the actual file. Keep blank or unresolved URLs and missing required fields in a review list. A Sales Navigator lead link or opaque identifier is not automatically a verified public profile URL.

Is the downloadable file a real Leadsforlinked export?

No. It is an original synthetic review sample with illustrative mapped headers, placeholder identities and deliberate data problems. It demonstrates inspection, not the exact production CSV schema, a real prospect list or measured extraction results.