DataMag

DataMag provides tools for scraping lead information from LinkedIn.

Updated October 2026

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Prospecting DataData EnrichmentSales Tools
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Overview: What is DataMag?

Users can extract contact details and profile data at scale. The platform focuses on turning LinkedIn searches into structured datasets for outbound campaigns.

DataMag operates as a dedicated data extraction platform built specifically for LinkedIn. It allows sales and recruiting teams to pull structured contact information from LinkedIn profiles and Sales Navigator searches without manual copy and paste. The tool converts raw profile data into usable formats that integrate with existing outreach workflows. By automating the collection of names, titles, and contact details, it reduces the time spent on list building. Teams use it to build targeted prospect lists based on specific professional criteria found on the LinkedIn network.

Fit: Ideal customer profile.

Outbound sales teams and recruiting agencies that rely heavily on LinkedIn as a primary source for prospecting and candidate sourcing.

  • SMB
  • Mid-market

Capabilities

Key features.

01

LinkedIn profile data extraction

02

Sales Navigator scraping support

03

Bulk data export capabilities

04

Contact detail retrieval

05

Structured data file downloads

06

Targeted list building

07

Professional criteria filtering

08

CRM integration support

Usage

How to use DataMag.

Teams install the extension or access the platform, navigate to LinkedIn profiles or run a Sales Navigator search, and initiate the extraction process. The tool compiles the selected profile data into a structured file that can be exported to a CRM or outreach sequence.

Cost

Pricing.

Pricing not publicly listed.

At a glance

Quick facts.

Stack position
Prospecting Data
Category
Data Enrichment, Sales Tools
Best for
SMB, Mid-market
Pricing
Pricing not publicly listed.

Subcategories

  • Lead Generation
  • LinkedIn Scraping

Talk to us: Pick the tool. We run the system around it.

DataMag is one part of a stack. We build and run the revenue system it plugs into.

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