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How to Scrape LinkedIn Profiles and Find Emails in Bulk

LinkedIn is the biggest professional database there is. Here is how to pull profiles in bulk, with a public email where available, into a qualified prospect list.

6 August 20266 min read
Business professionals in a meeting around a table
Photo by Dylan Gillis on Unsplash

LinkedIn is the biggest professional database in the world, which makes it the obvious place to build a B2B prospect list, and one of the most tedious to work with by hand. Opening profiles one by one, copying job titles and companies into a spreadsheet, then hunting for an email elsewhere, is hours of work for a list of any real size.

Pulling profiles in bulk collapses that into a single run. You give the tool a set of profiles, and it returns them as rows, the current role, company, experience, education and skills, with a public email where one can be found. It is the fast way to build a targeted prospect list. Here is how.

What you can pull

  • Full profile details in bulk
  • Current role, company and location
  • Work history, education and skills
  • A public email address where available
  • A link to each profile

Why pull LinkedIn profiles as data

A LinkedIn profile is a self-maintained CV, which makes it about the most current source of professional data there is. People update their own role and company when they move, so a bulk pull gives you accurate, structured records of exactly the people you want to reach, with the job titles and companies that let you qualify them. Add an email where one is available and you have gone from a list of names to a ready-to-work outreach list in one pass, instead of stitching it together across three tools.

How to pull profiles with Tooltap

The LinkedIn Profile Scraper takes the profiles and returns their details.

  1. Add the profiles. Paste the LinkedIn profile URLs you want, one per line.
  2. Turn on email finding if you want a public email pulled alongside each profile.
  3. Run it. Profiles come back as a table with role, company, experience, education and skills.
  4. Filter to qualify. Keep the profiles with the right title, company size or location.
  5. Export. Send it to CSV or straight to your CRM.
Qualify before you pay. Because the current role and company come back for every profile, you can filter the list down to exactly the decision-makers you want before you spend a credit on emails. Precise beats big when it comes to outreach.

What people use this for

Doing this properly

The tool reads public LinkedIn profile information, the same details visible to anyone viewing the profile, and returns it as data on your instruction. Emails come only from public sources where one is available. You are charged only for the results that come back. A prospect list is the start, not the finish: if you use it for outreach, follow the marketing and privacy laws that apply to you. How you use the data is your responsibility.

The tool

LinkedIn Profile Scraper + Email

Pull full LinkedIn profiles in bulk, experience, education, skills, optional email.

Name & headlineLocationWork experience & educationSkillsOptional emailProfile URL & photo
Open the LinkedIn Profile Scraper + Email
2 credits per result. Your first 100 credits are free, no card needed.

Frequently asked questions

What details does it pull from a profile?

The current role, company and location, the work history, education and skills, a link to the profile, and a public email where one can be found.

Can it really find email addresses?

It finds a public email where one is available for the person, using public sources. Not every profile will have one, and you are only charged for the results that come back.

How many profiles can I pull at once?

Paste as many profile URLs as you like, one per line, and the tool pulls them in a single run.

Can I enrich a list I already have?

Yes. Feed in the profiles for people you already know and the tool fills in their roles, companies and other details.

What does it cost?

Two credits per profile returned, and you get 100 free credits to start. A run that finds nothing costs nothing.