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ScrapeLinkedInLinkedInprofiles by search term
Scrape LinkedIn profiles by search term. Extract Google Maps business listings and reviews. Collect Facebook pages, groups and posts. Scrape Instagram profiles, reels and comments. Extract TikTok posts and creator profiles. Collect YouTube channels and video data. Scrape X / Twitter profiles and posts. Extract Indeed job listings and salaries. Collect Yelp business reviews and ratings.
Home/Integrations/How to Scrape LinkedIn Profiles into Make
LinkedInMake

How to Scrape LinkedIn Profiles into Make

Extract profiles data from LinkedIn and pipe into Make automatically

Step-by-step guide

1

Choose the LinkedIn Profiles scraper

Navigate to the LinkedIn Profiles scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 2 credits.

2

Set up your Make connection

Create a new Make scenario with a Webhook trigger module. Copy the webhook URL into Scrapernode's webhook settings. Use Make's built-in JSON parser to map scraper fields to downstream modules like "Create Spreadsheet Row" or "Send Email".

3

Provide your LinkedIn input URLs

Paste the LinkedIn URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content pages.

4

Launch the scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

5

Receive data in Make

When the job completes, Scrapernode sends the full results to your Make workflow. Each record includes 42 fields like id, name, city, country_code. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

2 credits

Output fields

42 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Id
ACoAABcXYZ123
Name
Sarah Chen
City
San Francisco
Country Code
US
Position
Software Engineer III
About
Passionate about making technology accessible. 15 years building products that millions of people use daily.
Posts
Array [1]
Object {2}
content:"Excited to share our Series B news!"
likes:847
Current Company
Object {4}
name:"Stripe"
title:"VP of Engineering"
company_id:"stripe"
link:https://www.linkedin.com/company/stripe
Experience
Array [2]
Object {3}
role:"VP of Engineering"
company:"Stripe"
years:"2021-present"
Object {3}
role:"Staff Engineer"
company:"Google"
years:"2017-2021"
Url
sample_url
People Also Viewed
Array [1]
Object {3}
name:"Alex Rivera"
about:"Engineering Manager at Google"
profile_link:https://www.linkedin.com/in/alexrivera
Educations Details
Stanford University
Education
Array [1]
Object {2}
degree:"M.S. Computer Science"
school:"Stanford University"
Recommendations Count
1,000
Avatar
https://media.licdn.com/dms/image/v2/photo_1.jpg
Courses
Array [1]
Object {2}
title:"Machine Learning"
subtitle:"Stanford Online"
Languages
Array [2]
Object {2}
title:"English"
subtitle:"Native"
Object {2}
title:"Mandarin"
subtitle:"Professional working"
Certifications
Array [1]
Object {2}
title:"AWS Solutions Architect"
subtitle:"Amazon Web Services"
Recommendations
One of the most talented engineers I've ever worked with.
Volunteer Experience
Array [1]
Object {4}
title:"Mentor"
subtitle:"Code.org"
cause:"Education"
duration:"2 yrs"
Followers
28,401,080
Connections
1,000
Current Company Company Id
stripe
Current Company Name
Stripe
Publications
Array [1]
Object {3}
title:"Scaling Microservices at Stripe"
subtitle:"InfoQ"
date:"2024"
Patents
Array [1]
Object {2}
title:"Distributed Payment Processing System"
date_issued:"2023"
Projects
Array [1]
Object {3}
title:"Open Source API Gateway"
start_date:"2022"
end_date:"2023"
Organizations
Array [1]
Object {2}
title:"IEEE"
membership_type:"Member"
Location
San Francisco, CA
Input Url
https://www.linkedin.com/in/sarahchen
Linkedin Id
sarahchen
Activity
Array [1]
Object {3}
title:"Shared a post about engineering culture"
interaction:"posted"
link:https://www.linkedin.com/feed/update/urn:li:activity:123
Linkedin Num Id
123456789
Banner Image
https://media.licdn.com/dms/image/v2/banner.jpg
Honors And Awards
Array [1]
Object {3}
title:"Forbes 30 Under 30"
publication:"Forbes"
date:"2023"
Similar Profiles
Array [1]
Object {3}
name:"James Park"
title:"Staff Engineer at Meta"
url:https://www.linkedin.com/in/jamespark
Default Avatar
Yes
Memorialized Account
Yes
Bio Links
Array [1]
Object {2}
title:"Personal Website"
link:https://sarahchen.dev
First Name
Sarah
Last Name
Chen
Influencer
Yes

Data Dictionary

42 fields returned per record

A unique identifier for the person's LinkedIn profile (100.00% fill rate)

Profile name (97.56% fill rate)

Geographical location of the user (96.34% fill rate)

Geographical location of the user (97.14% fill rate)

The current job title or position of the profile (90.37% fill rate)

A concise profile summary. In some cases, only a truncated version with '...' is displayed on the website, and this is the version we capture (18.88% fill rate)

Contains information related to the user's last LinkedIn posts. It typically includes the post title, created date, URL link to the post, etc. (1.25% fill rate)

Sub-fields

titleTextThe title of the post
attributionTextAttribution
imgTextAn image associated with the profile
linkTextThe URL or link to the post
created_atTextThe timestamp indicating when the post was written
interactionTextThe interaction with the post (liked/shared/posted)
idTextPost id

Provides information about the user's current professional position. It typically includes the company name, the user's job title, the company ID, and the industry or sector to which the company belongs (100.00% fill rate)

Sub-fields

linkTextThe URL or link to the company's LinkedIn page
nameTextThe name of the company
company_idTextA unique identifier for the company in the dataset
titleTextThe position
locationTextCompany location
industryTextCompany industry

Contains information about user's professional history. It typically includes the user's job title, length of time the user held the position, the geographic location of the company, the start and end date, the company name, URL link to the company profile, etc. (70.91% fill rate)

Sub-fields

titleTextExperience title
subtitleTextExperience subtitle
subtitleURLTextExperience subtitle URL
locationTextExperience location
descriptionTextExperience description
description_htmlTextHTML version of the description
durationTextExperience duration
start_dateTextExperience start date
end_dateTextExperience end date
duration_shortTextExperience duration
positionsArrayExperience positions
companyTextExperience company
company_idTextExperience company id
industryTextCompany industry
urlTextExperience URL
company_logo_urlTextCompany logo URL

URL that links directly to the LinkedIn profile (100.00% fill rate)

Provides a list of LinkedIn profiles that users who have viewed the user's profile, have viewed these as well (34.95% fill rate)

Sub-fields

profile_linkTextProfile link
nameTextName
aboutTextAbout text
locationTextLocation

Provides information about the user's educational background (42.08% fill rate)

Provides information about the user's educational background. It typically includes the degree, the start and end year, the field, etc. (41.88% fill rate)

Sub-fields

titleTextEducation title
degreeTextEducation degree
fieldTextEducation field
metaTextEducation meta data
urlTextEducation URL
start_yearTextEducation start year
end_yearTextEducation end year
descriptionTextDescription
description_htmlTextDescription in html format
institute_logo_urlTextThe URL for the institute's logo

A numeric count of the total number of recommendations that the user has received (3.62% fill rate)

URL that links to the profile picture of the LinkedIn user (96.32% fill rate)

Contains information about courses or educational programs that the user has undertaken (2.53% fill rate)

Sub-fields

subtitleTextCourses subtitle
titleTextCourses title
metaTextCourses meta

Contains information about the user's proficiency in different languages (9.14% fill rate)

Sub-fields

subtitleTextLanguages subtitle
titleTextLanguages title

Licenses & Certifications (8.34% fill rate)

Sub-fields

metaTextCertifications meta
subtitleTextCertifications subtitle
titleTextCertifications title
credential_urlTextURL to verify the credential
credential_idTextThe credential ID

Recommendations that the user has received from their connections or colleagues on LinkedIn (3.59% fill rate)

Sub-fields

textTextRecommendation text
nameTextRecommender name
titleTextRecommender title
urlTextRecommender profile URL

Contains information related to the user's volunteer work (4.10% fill rate)

Sub-fields

causeTextVolunteer cause
durationTextVolunteer duration
duration_shortTextVolunteer duration
end_dateTextVolunteer end date
infoTextVolunteer info
start_dateTextVolunteer start date
subtitleTextVolunteer subtitle
titleTextVolunteer title

How many users/companies following the profile (71.13% fill rate)

How many connections the profile has (70.06% fill rate)

The id of the latest/current company of the profile (38.85% fill rate)

The name of the latest/current company of the profile (69.46% fill rate)

Published works or presentations (1.22% fill rate)

Sub-fields

titleTextTitle of the publication
subtitleTextAdditional info
dateTextDate of publication
descriptionTextDescription of the publication

Patents filed or granted (0.13% fill rate)

Sub-fields

titleTextTitle of the patent
date_issuedTextDate issued
patents_idTextPatent ID
descriptionTextDescription of the patent

Professional or academic projects (2.08% fill rate)

Sub-fields

titleTextProject title
start_dateTextStart date
end_dateTextEnd date
descriptionTextDescription of the project

Memberships in professional organizations (1.77% fill rate)

Sub-fields

titleTextOrganization name
membership_typeTextType of membership
start_dateTextStart date
end_dateTextEnd date
descriptionTextDescription of the role
membership_numberTextMembership ID

Geographical location of the user (62.11% fill rate)

The URL that was entered when starting the scraping process (100.00% fill rate)

LinkedIn profile identifier (100.00% fill rate)

Any activity the user has regarding posts (32.96% fill rate)

Sub-fields

idTextActivity ID
imgTextActivity image
interactionTextType of interaction
linkTextActivity link
titleTextActivity title

Numeric LinkedIn profile ID (100.00% fill rate)

Banner image (96.32% fill rate)

Awards and recognitions received (2.12% fill rate)

Sub-fields

titleTextAward title
issuerTextAward issuer
dateTextDate of award
descriptionTextAward description

Profiles similar to the current one (0.55% fill rate)

Sub-fields

nameTextProfile name
linkTextProfile link
titleTextProfile title
locationTextProfile location

Is the avatar picture the default avatar empty picture (95.77% fill rate)

Boolean indicating if the account is memorialized (99.45% fill rate)

External links added to the bio (2.96% fill rate)

Sub-fields

urlTextBio link URL
titleTextBio link title

First name of the user (95.16% fill rate)

Last name of the user (94.85% fill rate)

Indicator if the profile marked as influencer (55.51% fill rate)

Frequently Asked Questions

Common questions about How to Scrape LinkedIn Profiles into Make

Ready to connect LinkedIn data to Make?

Start extracting linkedin profiles data and pipe into Make in minutes.

Go to LinkedIn Profiles scraperBrowse all integration guides
No code requiredAuto-delivery to Make42 data fields