If you build outbound or recruiting pipelines, linkedin scraping tools are usually part of the story — even when your legal team prefers the word “export” or “automation.” The goal is the same: move people and companies from LinkedIn into a spreadsheet or CRM without hand-copying every field. The hard part is not the first CSV; it is keeping accounts safe, fields accurate, and lists actually reachable once they leave LinkedIn.

This list focuses on real products teams use in 2026: everything from Sales Navigator exporters to cloud automations and email-finder extensions. None of them replace a dedicated enrichment layer — LinkedIn rarely hands you verified work emails and direct mobiles by itself. For the full decision framework (risks, categories, handoff to enrichment), read our in-depth guide to LinkedIn scraping tools. If your workflow starts in Navigator, pair this with how to use LinkedIn Sales Navigator for prospecting so you know where official exports stop and tooling begins.

Important: Automated extraction can conflict with LinkedIn’s terms and risk throttling or account action. Evaluate with your security and legal stakeholders, favor conservative rate limits, and treat public profile data as a snapshot that needs refresh and verification.

1. Phantombuster — Cloud “Phantoms” for LinkedIn workflows

Phantombuster is a long-standing automation platform built around prebuilt scripts (“Phantoms”) that run in the cloud. For LinkedIn use cases, teams chain steps like search extraction, profile detail collection, and exports to Google Sheets or other destinations — useful when you want repeatable pipelines without writing scrapers from scratch.

Strengths: Large library of automations beyond LinkedIn, decent flexibility for growth and ops teams, and a model that separates “what to run” from “how to host browsers.” Many recipes are maintained by the vendor community, which helps when you are prototyping fast.

Weaknesses: Anything that depends on LinkedIn’s UI breaks when the site changes; budget maintenance time, not just subscription cost. Execution is usage-based — if you scale volume, hours and concurrency become the bill you feel.

Pricing (indicative): Paid plans often start around $69/month for entry tiers on annual-style pricing, with higher tiers for more monthly execution time, slots, and credits — confirm on Phantombuster’s site before you budget.

Best for: Teams that want orchestrated LinkedIn + non-LinkedIn automations and can tolerate occasional script upkeep.

2. Evaboot — Sales Navigator export and cleanup in one flow

Evaboot is tightly focused on LinkedIn Sales Navigator: export leads and accounts, clean noisy fields, filter junk, and optionally find or verify emails inside a credit-based workflow. For many B2B teams, that is the practical definition of “scraping” — turning Navigator search results into a working prospect file.

Strengths: Purpose-built for Navigator lists, strong fit if your discovery layer already lives there. Credit accounting is transparent for exports vs. email finding vs. verification, which helps RevOps forecast cost per campaign.

Weaknesses: It is not a general-purpose web scraper; if your data starts outside Navigator, you will pair it with other tools. Email coverage still varies by region and role seniority — expect gaps on niche titles.

Pricing (indicative): Credit-based plans often start around $9/month for small bundles, with larger monthly packs in the tens to hundreds of dollars depending on volume — check Evaboot’s pricing page for current tiers.

Best for: SDR and outbound teams that live in Sales Navigator and want cleaner CSVs without a science project.

3. Skrapp.io — Chrome-side email finder tied to LinkedIn views

Skrapp.io blends email discovery with LinkedIn workflows via extensions and list features. Instead of only dumping profile text, it tries to attach a professional email (with verification layers on paid tiers) to the people you are viewing or list-building — bridging “scrape” and “reach.”

Strengths: Fast for reps who work profile-by-profile or in Navigator; includes verifier tooling and CRM-oriented list management on higher plans. Clear upgrade path from free credits to team tiers.

Weaknesses: Email finders are only as good as their sources; catch-all domains and sparse web footprints still produce misses. Heavy extension usage concentrates risk on individual LinkedIn sessions — train the team on safe daily volumes.

Pricing (indicative): A free tier with limited monthly credits is common; paid plans often start around $30/month for professional use with higher credit pools — confirm current numbers on Skrapp.io.

Best for: Reps who want LinkedIn context + email attempts in one click-heavy workflow.

4. Waalaxy — Campaign-style LinkedIn automation with email add-ons

Waalaxy is positioned as a LinkedIn prospecting layer: connection requests, messaging sequences, and light CRM sync, with optional email finder credits on higher tiers. It is not a raw “scrape to warehouse” tool, but it absolutely moves LinkedIn-native data into structured outreach flows — which is what many buyers mean when they search for linkedin scraping tools.

Strengths: Strong for multi-step social outreach when you want cadences rather than a one-off CSV dump. Per-user pricing can be predictable for small pods that live inside LinkedIn all day.

Weaknesses: Automation always trades speed against account safety; aggressive defaults are expensive in the long run. Email credits can run out fast on prospecting-heavy teams — model add-on costs early.

Pricing (indicative): Common public tiers land around €19–€69/user/month depending on invitations, features, and email credits, with annual discounts — verify on Waalaxy’s pricing page.

Best for: Small teams that want LinkedIn sequences first and occasional email discovery second.

5. Captain Data — No-code web data workflows with LinkedIn recipes

Captain Data targets RevOps and growth teams building repeatable extractions across the web, including LinkedIn-oriented flows, with scheduling, APIs, and enrichment hooks. Think “operations platform” more than “single Chrome button.”

Strengths: Fits when you need governed, scheduled jobs and handoffs to CRMs or enrichment vendors — closer to a data pipeline than a rep tool. Useful if marketing ops and sales ops share the same extract→enrich→route pattern.

Weaknesses: More moving parts than a lightweight extension; you will invest in workflow design. Like every LinkedIn-adjacent tool, enforcement and HTML drift are operational risks, not one-time setup tasks.

Pricing (indicative): Captain Data typically sells workspace plans with credits; entry offers sometimes include a small free credit pack for tests — check their site for current packages.

Best for: Teams that need scheduled, multi-step data pulls with API delivery rather than ad hoc copying.

6. Octopus CRM — Chrome extension automations for everyday LinkedIn prospecting

Octopus CRM is a Chrome extension that automates common LinkedIn actions: connection campaigns, follow-up messages, profile visits, and light funnel stitching. It emphasizes prospecting mechanics over raw data engineering.

Strengths: Simple entry price for solos and small shops; works across common LinkedIn account types including Navigator in many setups. Good when the bottleneck is manual clicking, not warehouse ingestion.

Weaknesses: Extension automation can be brittle under policy changes; analytics and sequencing depth are thinner than premium outreach stacks. Expect to export or sync elsewhere for serious reporting.

Pricing (indicative): Tiers often run from about $9.99/month up to roughly $39/month for unlimited-style plans — confirm on Octopus CRM’s site.

Best for: Individual reps and micro-teams who want LinkedIn-native campaigns without a full RevOps build.

7. Linked Helper — Desktop LinkedIn automation with a long feature list

Linked Helper is a desktop-oriented LinkedIn automation tool with a broad menu: messaging, invites, data extraction helpers, tagging, and integrations. Teams that dislike cloud browsers sometimes tolerate a local app model instead.

Strengths: Deep feature surface for power users; licensing can be straightforward for single operators. Helpful when you want granular control over daily limits inside a desktop workflow.

Weaknesses: Desktop software adds IT review steps in larger companies. Like all automation, it still competes with LinkedIn’s rate limits — discipline matters more than the logo on the box.

Pricing (indicative): Standard and Pro licenses are commonly quoted around $15/month and $45/month with discounts for longer license periods — verify on Linked Helper’s pricing page.

Best for: Solo operators and agencies comfortable with desktop LinkedIn automation who need breadth over polish.

8. Dripify — LinkedIn sequences with team controls and CSV export on higher tiers

Dripify focuses on LinkedIn drip campaigns, team workspaces, analytics, and safeguards around daily activity. Higher plans add collaboration features, webhooks, and data export options that matter once outbound is a team sport, not a side project.

Strengths: Clear upgrade path from solo testing to multi-seat operations; includes email finder credits on many plans (often a few hundred monthly with paid add-ons for more).

Weaknesses: Mid-market pricing compared with barebones extensions; if you only need a one-time CSV, it can be more tool than you need. Email finder pools are not infinite — model replenishment costs.

Pricing (indicative): Public tiers often start around $59/month for basic LinkedIn automation and step up through $79–$99/month for Pro/Advanced — annual billing usually discounts; confirm on Dripify.io.

Best for: Small sales teams that want governed LinkedIn sequencing plus light email discovery.

What to do after you scrape (or export)

Every tool above helps you materialize a list. The next step is what separates pipeline from busywork: turn LinkedIn identities into verified work emails and actionable mobile numbers, dedupe against your CRM, and attach verification status so sequences do not torch domain reputation.

That is the job of lead enrichment and waterfall contact data — topics we cover in depth in resources like lead enrichment. FullEnrich is not a LinkedIn scraper; it is a B2B waterfall enrichment platform that queries 20+ premium providers in sequence, uses triple email verification, and returns mobile-only phones that pass multi-step validation. Upload a CSV (including exports that include LinkedIn URLs), enrich in bulk via API or no-code connectors, and pay credits only when data is found — start with 50 free credits and no credit card on the free trial. Use the right extraction tool for discovery, then let enrichment answer whether anyone can actually be reached.