How to export LinkedIn search results without Sales Navigator
Sales Navigator is the reference tool for exporting LinkedIn search results and building structured B2B prospect lists. The catch: it costs between €80 and €130 per month — a budget hard to justify for a team starting its prospecting or simply testing a new market segment. The good news is that several methods exist to export your LinkedIn search results without subscribing to Sales Navigator. This guide presents them honestly, with their limits, to help you choose the right approach for your needs.
Why LinkedIn doesn't offer a native export without Sales Navigator
LinkedIn deliberately enforces a restriction: there's no "export to CSV" button on the free version, nor on Premium Career or Premium Business plans. That feature is reserved for Sales Navigator and Recruiter, the platform's two most expensive offerings.
The reason is strategic. LinkedIn monetizes access to its data. By making native export unavailable outside its high-end offerings, the platform creates a powerful upsell lever for sales teams. As a result, a large share of B2B professionals look for alternatives to export their LinkedIn search results without going through Sales Navigator.
The methods available to export your LinkedIn search results
The manual method: copy-paste and spreadsheet entry
The first option is the simplest to set up but also the most time-consuming. You manually browse LinkedIn results pages, jot down names, titles, and companies in a spreadsheet, then look up the contact details one by one.
This method only makes sense at very low volumes: ten to twenty contacts maximum. Beyond that, the time-to-result ratio becomes clearly unfavorable. It does have one advantage: it strictly respects LinkedIn's terms of service, with no risk of account restriction.
Browser extensions
Several Chrome extensions can extract the information visible on LinkedIn results pages and export it as a CSV. The principle is simple: install the extension, run a LinkedIn search, and the tool collects the displayed data (name, title, company, sometimes the profile URL) as you browse.
These extensions work by reading the HTML content of the LinkedIn page visible in your browser. They don't bypass LinkedIn's technical restrictions but they automate the collection of displayed data. Their limits are real: they only retrieve what LinkedIn shows (no email, no phone), quality depends on your LinkedIn subscription level, and some can be blocked or broken by LinkedIn's regular updates.
Scraping and automation tools
Dedicated tools allow deeper automation of LinkedIn result extraction. They simulate human navigation to collect data across multiple result pages and return it as structured output (CSV, JSON, or directly into a CRM).
These solutions offer better processing capacity than extensions: they can browse hundreds of profiles in minutes without manual intervention. They generally require an active LinkedIn account (used as a "passenger" for the collection) and become paid beyond a certain volume.
The main drawback remains the same: these tools only extract LinkedIn's public data. You get names, job titles, companies, and profile URLs. You don't get the professional emails or direct phone numbers — the contact details you actually need to launch a prospecting campaign.
The legal and technical limits to know
Before getting started, it's important to have a clear picture of the framework you're operating in.
LinkedIn's Terms of Service. LinkedIn's TOS explicitly prohibit automated scraping of the platform. LinkedIn can detect anomalous behavior (too many pages visited too quickly, requests that are too regular) and temporarily or permanently restrict the account used. The risk varies depending on volume collected and method employed, but it exists.
GDPR. Collecting personal data on individuals without their explicit consent falls under a precise regulatory framework. In B2B, email outreach is tolerated under certain conditions (professional relevance, opt-out option), but mass data collection without a precise purpose can expose the company to compliance risk.
Data quality and completeness. Data extracted from LinkedIn is often incomplete. Profiles aren't all filled out the same way, some titles are poorly qualified, and the email or direct phone number is almost never accessible via export methods. That last point is often underestimated.
To go further on data quality challenges in B2B prospecting, see our article on enrichment coverage rates.
From export to professional email: the step that changes everything
This is the point many people overlook when they try to export LinkedIn search results. Getting a list of names and companies is a starting point, not an operational prospecting list.
To send an email or place a call, you need each contact's professional email address and direct phone number. These two pieces of data aren't on LinkedIn. They have to be found and verified through another channel.
That's where B2B data enrichment comes in. Once your list of LinkedIn profiles is exported, you submit it to an enrichment tool that — for each name and each company — looks up the corresponding contact details. The quality of the result depends directly on the tool used.
Classic solutions query one or two data providers and return an email when they have one. The hit rate usually caps between 50 and 65%. Which means that out of 100 contacts exported from LinkedIn, you get usable contact details for 50 to 65 of them at best.
An augmented waterfall approach sequentially queries around forty different sources, combined with a proprietary dataset and email reconstruction algorithms. The hit rate consistently exceeds those thresholds, with triple verification on every returned contact (syntax, server, deliverability for emails; connectivity and activity for phone numbers). The result isn't just more complete — it's reliable.
To understand concretely how this process works, see our guide on B2B waterfall enrichment.
How to organize your LinkedIn prospecting workflow
Once you've grasped the two distinct steps (list export, then enrichment), the workflow becomes straightforward to build.
The first step is defining your targeting criteria on LinkedIn: industry, company size, job title, location, tenure in role. LinkedIn allows fairly precise filters even without Sales Navigator, provided you formulate your queries well.
The second step is the export, via the method matching your volume: manual for fewer than 20 contacts, browser extension for a few hundred, automation tool for larger volumes. The resulting file contains at minimum names, titles, and companies.
The third step is enrichment. That's the step that turns your list into an operational prospecting database. The higher your enrichment tool's coverage rate, the more complete your final list and the more effective your campaign.
The fourth step, finally, is qualification and integration into your CRM or outreach tool to launch the sequences.
What an unenriched LinkedIn list is really worth
Exporting your LinkedIn search results without Sales Navigator is entirely doable. Several methods make it possible, with varying levels of technicality and risk. But the export only represents the first half of the work.
A list of names without verified contact details is unrealized potential. The real challenge of B2B prospecting isn't building a list — it's making it reachable. And that's where the quality of your data enrichment makes all the difference between a campaign that performs and a list that sits dormant in a spreadsheet.