13 Best LinkedIn Data Scrapers (2026 List)

LinkedIn is the largest B2B database in plain sight. The real competitive edge is not finding prospects. It is turning LinkedIn signals into structured data before competitors even finish manual copy-paste.

A LinkedIn data scraper captures profile and company data from searches, Sales Navigator lists, and engagement sources, then exports it into clean lead lists for enrichment and outreach. No spreadsheet chaos. No missed follow-ups caused by incomplete records.

With the right scraper, LinkedIn stops being a browsing platform and becomes a repeatable data engine for B2B pipeline generation.

What is a LinkedIn Data Scraper?

👉 A LinkedIn data scraper is a tool that extracts structured information from LinkedIn profiles, search results, and company pages. Instead of manually copying profile data, the software collects relevant information automatically and exports it into a database, CRM, or spreadsheet for further enrichment and outreach.

Common LinkedIn data scraping strategies include:

• Extracting profile data from LinkedIn search results
• Scraping prospect lists from LinkedIn Sales Navigator
• Capturing profile data through Chrome extensions
• Exporting engagement data from posts, comments, and reactions
• Enriching profiles with emails and company information
• Building targeted prospect lists based on filters or keywords
• Importing LinkedIn contacts directly into a CRM

These tools transform LinkedIn from a browsing platform into a structured lead generation channel. Instead of scattered profiles and incomplete contact records, teams build organized lead databases ready for enrichment, segmentation, and outbound campaigns.

Why LinkedIn Data Scraping is Important in B2B?

LinkedIn data scraping turns prospecting into a repeatable system. Instead of hunting profiles one by one, teams extract structured lead data from searches, lists, and engagement sources, then move faster from targeting to outreach.

It also prevents CRM decay. Manual exports create duplicates, missing fields, and inconsistent formatting. Scraping tools standardize collection, making enrichment and segmentation far easier at scale.

Some main advantages in B2B:

✔️ Faster list building for outbound and ABM

✔️ Higher prospecting volume without extra headcount

✔️ Cleaner datasets for segmentation and personalization

✔️ Better enrichment inputs for emails and firmographics

✔️ Faster territory mapping and account prioritization

✔️ Reduced duplicates and spreadsheet chaos

✔️ More reliable handoffs between SDR, AE, and ops

✔️ Stronger pipeline consistency through structured imports

13 Best LinkedIn Data Scrapers in 2026

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1. folk CRM

Rating

⭐⭐⭐⭐⭐(G2)

Overview

folk CRM captures LinkedIn profiles and turns them into structured contact records inside a collaborative CRM. Instead of exporting CSV files or copying fields manually, prospects can be imported from LinkedIn or Sales Navigator through a Chrome extension, then organized immediately into pipelines and lists.

Once captured, profiles become usable sales data. Contact records can be enriched with emails and company details, segmented, and tracked across conversations and opportunities. This approach fits teams that want LinkedIn data scraping with direct CRM structure, not raw exports that decay into spreadsheet chaos.

Pros

• One-click LinkedIn lead capture via Chrome extension
• CRM pipelines to organize scraped profiles
• Enrichment for emails and company data
• Collaboration on shared contact records
• Clean lists and segmentation for outbound workflows

Cons

• Not built for massive bulk scraping at extreme volumes
• Advanced automations often rely on integrations

Pricing

• Standard: $21/user/month
• Premium: $43/user/month
• Custom: From $67/user/month

👉 Try folk CRM for free

2. PhantomBuster

Rating

⭐⭐⭐⭐(G2)

Overview

PhantomBuster is a cloud automation platform used for LinkedIn data extraction and list building. It collects profile data, search results, company information, and engagement lists, then exports them into structured datasets for enrichment and downstream outreach. It fits growth and ops teams that need flexible workflows and large-scale list generation rather than one-click CRM capture.

Pros

• Large-scale LinkedIn data extraction
• Flexible automation workflows across many use cases
• Export-ready datasets for enrichment and outreach

Cons

• Setup and configuration required
• Data cleaning often needed after export

Pricing

• Starter: $69/month
• Team: $159/month
• Business: $439/month

3. Dripify

Rating

⭐⭐⭐⭐(G2)

Overview

Dripify combines LinkedIn automation with data extraction inside outbound campaigns. It pulls prospects from LinkedIn searches or Sales Navigator lists and keeps them inside campaign workflows, making it easy to build prospect lists while running sequences. It fits sales teams that want scraping tied directly to outreach execution rather than standalone list-building.

Pros

• Cloud-based prospect list extraction
• Campaign analytics and sequencing in the same tool
• Structured lead lists for outbound workflows

Cons

• Scraping is tied to outreach use cases
• Limited CRM-level contact management

Pricing

• Basic: $59/user/month
• Pro: $79/user/month
• Advanced: $99/user/month

4. Evaboot

Rating

⭐⭐⭐⭐(G2)

Overview

Evaboot is built for cleaning and exporting LinkedIn Sales Navigator lead lists. It extracts leads from Sales Navigator searches, standardizes the data, removes noise fields, and outputs a clean file ready for enrichment or import into a CRM. It fits teams running ABM or outbound who live in Sales Navigator and want reliable, structured list exports.

Pros

• Sales Navigator export built for list quality
• Data cleaning and normalization included
• Fast workflow for outbound list building

Cons

• Sales Navigator-first, not a general LinkedIn scraper
• Limited automation beyond list extraction

Pricing

• From $29/month

5. Apify

Rating

⭐⭐⭐⭐(G2)

Overview

Apify is a web scraping platform with LinkedIn-focused actors used to extract profile and company data at scale. It fits technical growth teams that need programmable scraping workflows, scheduling, and exports into databases or enrichment tools. It is best for structured scraping projects rather than day-to-day sales workflows.

Pros

• Scalable scraping infrastructure
• Highly flexible workflows and exports
• Good fit for technical teams and ops

Cons

• Requires configuration and scraping know-how
• Costs depend on usage and workload

Pricing

• From $49/month

6. Captain Data

Rating

⭐⭐⭐⭐(G2)

Overview

Captain Data automates data extraction and enrichment workflows across multiple sources, including LinkedIn. It focuses on building repeatable pipelines that scrape, enrich, and sync data into CRMs or spreadsheets. It fits teams that want scraping embedded into broader growth ops automation rather than a standalone export tool.

Pros

• End-to-end scraping + enrichment workflows
• Strong connectors to CRMs and data tools
• Repeatable automation pipelines for ops

Cons

• Overkill for simple list exports
• Pricing scales quickly for heavy automation

Pricing

• From $399/month

7. Wiza

Rating

⭐⭐⭐⭐(G2)

Overview

Wiza extracts lead data from LinkedIn Sales Navigator and turns it into export-ready prospect lists, with email and phone discovery layered on top. It fits teams that live in Sales Navigator and want fast list building with contact data attached, without designing custom scraping workflows.

Pros

• Sales Navigator list extraction
• Email and phone discovery included
• Fast workflow for outbound list building

Cons

• Requires LinkedIn Sales Navigator to operate
• Credit-based limits can add cost at scale

Pricing

• Free: $0/month
• Starter: $49/month
• Email: $99/month
• Email + Phone: $199/month

8. TexAu

Rating

⭐⭐⭐⭐(G2)

Overview

TexAu is a workflow platform that can scrape and enrich LinkedIn data as part of broader automation pipelines. It fits ops-led teams that want repeatable scraping → enrichment → verification → CRM sync flows, not just one-off exports. The product is better for structured processes than quick one-click Sales Navigator exports.

Pros

• Automation workflows beyond basic scraping
• Enrichment + verification + CRM sync in the same platform
• Good fit for repeatable ops pipelines

Cons

• Overkill for simple list exports
• Pricing targets teams more than solo users

Pricing

• Trial: $0 (2 weeks)
• Starter: $249/month
• Teams: $649/month
• Enterprise: Custom

9. Prospeo

Rating

⭐⭐⭐⭐(G2)

Overview

Prospeo focuses on extracting and enriching contact data from LinkedIn workflows, with an emphasis on verified emails. It fits teams that want a lightweight path from LinkedIn profile to usable contact data, especially when email discovery is the primary need.

Pros

• Email finding designed for outbound workflows
• Lightweight and easy to operationalize
• Works well as an enrichment layer after list building

Cons

• Not a full-scale scraping automation platform
• Deeper list-building still requires another tool or workflow

Pricing

• Free: $0/month
• Paid plans: From $49/month

10. Scrapin

Rating

⭐⭐⭐⭐(G2)

Overview

Scrapin is an API-based LinkedIn scraping tool designed to extract profile and company data programmatically. Instead of running browser automation, the platform pulls structured public information from LinkedIn URLs and returns standardized datasets that can feed CRMs, databases, or enrichment workflows. It fits developers and growth teams building automated prospecting pipelines.

Pros

• API designed for LinkedIn profile and company extraction
• Structured data outputs ready for enrichment workflows
• Good fit for automation and internal tooling

Cons

• Requires technical setup and API usage
• Not built for manual prospecting workflows

Pricing

11. Bright Data

Rating

⭐⭐⭐⭐⭐(G2)

Overview

Bright Data provides enterprise-grade web scraping infrastructure capable of extracting LinkedIn profiles, companies, and posts at scale. The platform uses rotating proxy networks, scraper APIs, and dataset pipelines to collect large volumes of data reliably. It fits companies running large data pipelines rather than individual sales workflows.

Pros

• Massive scraping infrastructure with proxy rotation
• Enterprise-scale LinkedIn data collection
• Flexible delivery formats and automation pipelines

Cons

• Complex setup compared to simple scraping tools
• Pricing designed for enterprise-scale workloads

Pricing

• Pay-as-you-go — ~$1.5 per 1,000 records
• Monthly plans — from ~$499/month depending on usage

12. Octoparse

Rating

⭐⭐⭐⭐⭐(G2)

Overview

Octoparse is a no-code web scraping platform used to extract structured data from websites, including LinkedIn pages. Users can design scraping workflows through a visual interface instead of writing code. The platform is commonly used by research teams and growth operators who need structured datasets without building custom scrapers.

Pros

• No-code scraping workflow builder
• Visual interface for designing data extraction flows
• Cloud automation for scheduled scraping jobs

Cons

• LinkedIn scraping may require more configuration
• Not designed specifically for sales workflows

Pricing

• Free plan available
• Paid plans start around ~$119/month

13. Browse AI

Rating

⭐⭐⭐⭐⭐(G2)

Overview

Browse AI is a no-code scraping tool designed to extract structured data from web pages on a schedule. For LinkedIn workflows, it fits teams that want lightweight monitoring and extraction of repeatable pages or lists, then push results into spreadsheets or automation tools. It works best for small-to-mid volume scraping needs where speed of setup matters more than deep customization.

Pros

• No-code setup with fast deployment
• Scheduled scraping for recurring data collection
• Easy exports to spreadsheets and automation workflows

Cons

• Not purpose-built for LinkedIn sales workflows
• Less control for complex scraping logic
• Scaling volume can become costly

Pricing

• Free — $0/month
• Starter — $19/month
• Professional — $69/month
• Enterprise — from ~$500/month

13 Best LinkedIn Data Scrapers in 2026: Final Recap