LinkedIn data, ready when you are.

People, companies, posts, jobs, comments, reactions and ads from LinkedIn.

Try in playground From $0.001 a record · $0.10 free

See the price before every call
Pay only for records that come back
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What you can get.

$0.004per record
Profiles
Name, headline, company, skills and work history.
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$0.002per record
Posts by a person
A person's latest posts, with likes and comments.
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$0.004per record
Companies
Size, industry, HQ, followers and website.
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$0.004per record
Search people
Find people by title, company, school or city.
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$0.004per record
Search companies
Find companies by keyword, size and industry.
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$0.001per record
Jobs
Open roles by title, city, salary and type.
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$0.002per record
Search posts
Posts about any topic, brand or person.
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$0.002per record
Comments on a post
Who commented on a post, and what they said.
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$0.002per record
Comments by a person
Comments a person left across LinkedIn.
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$0.002per record
Reactions on a post
Who reacted to a post, and how.
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$0.002per record
Reactions by a person
What a person liked and reacted to.
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$0.002per record
Ads by a company
A company's ads from the LinkedIn Ad Library.
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What the data looks like.

publicId	name	headline	companyName	location	followers	connections	isOpenToWork	isHiring	skills	urn	avatarUrl	isPremium	positions	details
ananya-rao	Ananya Rao	Head of Marketing at Paylane	Paylane	Bengaluru, Karnataka, India	8,421	500	false	true	Growth marketing, B2B SaaS, Brand strategy	urn:li:fsd_profile:885327295	https://img.linkedin.com/ananya-rao.jpg	false	Paylane · Head of Marketing · 2019-01 · current	{}
marcus-lee	Marcus Lee	VP Sales, EMEA \| B2B SaaS	Northfold	London, England, United Kingdom	15,230	500	false	false	Enterprise sales, Negotiation, Team leadership	urn:li:fsd_profile:302922555	https://img.linkedin.com/marcus-lee.jpg	false	Northfold · VP Sales · 2020-02 · current	{}
sofia-ortiz	Sofia Ortiz	Data Engineer · Python, dbt, Airflow	Kitebank	Austin, Texas, United States	2,104	812	true	false	Python, dbt, Airflow	urn:li:fsd_profile:438143361	https://img.linkedin.com/sofia-ortiz.jpg	false	Kitebank · Data Engineer · 2021-03 · current	{}

15 fields, scroll sideways for all. Example rows: made-up names, real field names. Live calls return real data.

For developers

API reference.

One endpoint, POST /v1/linkedin. Open an operation to see its fields.

Read the docs

Profilesprofiles

Profile cards for up to ten people, by /in/<slug> vanity handle (a full profile URL is accepted and reduced to its slug). `include.posts` adds each person's recent posts to the same answer.

Field	Type	Meaning
subjects *	list of string · 1-10 items	/in/<slug> handles or profile URLs.
fields	list of enum	What each card carries: "profile" is the card itself (always), "positions" adds the person's work history. Omit for the card alone.profile · positions
include	object
include.posts	object
include.posts.limit	integer · 1-50	Recent posts to fetch per person, newest first; 1-50.

Response fields, each row of data

Field	Type
publicId	string
urn	string
name	string
firstName	string
lastName	string
headline	string
about	string
location	string
city	string
state	string
country	string
profileUrl	string
avatarUrl	string
coverUrl	string
followers	integer
connections	integer
isPremium	boolean
isOpenToWork	boolean
isHiring	boolean
isVerified	boolean
isCreator	boolean
isInfluencer	boolean
isOpenProfile	boolean
skills	list of string
companyName	string
positions	list of object
education	list of object
certifications	list of object
languages	list of object
projects	list of object
publications	list of object
courses	list of object
honors	list of object
volunteering	list of object
recommendations	list of object
causes	list of string
details	object

Every field is present on every row: a value the source had nothing for is null, an empty list is []. details is always the last field: everything else the source sent for that row, under our own field names. Its keys depend on the source that answered, so read them defensively; it is {} when there is nothing more.

example request · profiles

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"profiles","subjects":["satyanadella"]}'

Example response rows

data · made-up names, real field names

[
  {
    "publicId": "ananya-rao",
    "name": "Ananya Rao",
    "headline": "Head of Marketing at Paylane",
    "companyName": "Paylane",
    "location": "Bengaluru, Karnataka, India",
    "followers": 8421,
    "connections": 500,
    "isOpenToWork": false,
    "isHiring": true,
    "skills": [
      "Growth marketing",
      "B2B SaaS",
      "Brand strategy"
    ],
    "urn": "urn:li:fsd_profile:885327295",
    "avatarUrl": "https://img.linkedin.com/ananya-rao.jpg",
    "isPremium": false,
    "positions": [
      {
        "companyName": "Paylane",
        "title": "Head of Marketing",
        "startedOn": "2019-01",
        "isCurrent": true
      }
    ],
    "details": {}
  },
  {
    "publicId": "marcus-lee",
    "name": "Marcus Lee",
    "headline": "VP Sales, EMEA | B2B SaaS",
    "companyName": "Northfold",
    "location": "London, England, United Kingdom",
    "followers": 15230,
    "connections": 500,
    "isOpenToWork": false,
    "isHiring": false,
    "skills": [
      "Enterprise sales",
      "Negotiation",
      "Team leadership"
    ],
    "urn": "urn:li:fsd_profile:302922555",
    "avatarUrl": "https://img.linkedin.com/marcus-lee.jpg",
    "isPremium": false,
    "positions": [
      {
        "companyName": "Northfold",
        "title": "VP Sales",
        "startedOn": "2020-02",
        "isCurrent": true
      }
    ],
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try profiles in the playground Examples and pricing for profiles

Posts by a personposts

A person's recent posts with engagement. (Company-page posts are not served yet. Asking today is declined with a reason, never guessed at.)

Field	Type	Meaning
subject *	string · ≤400 chars	One /in/<slug> handle or profile URL.
limit	integer · 1-50

Response fields, each row of data

Field	Type
urn	string
body	string
kind	string
postedAt	string
permalink	string
mediaUrl	string
mediaType	string
likes	integer
comments	integer
reposts	integer
author	object
mentions	list of object
details	object

example request · posts

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"posts","subject":"satyanadella","limit":10}'

Example response rows

data · made-up names, real field names

[
  {
    "author": {
      "handle": "ananya-rao",
      "type": "person"
    },
    "body": "We cut onboarding from 14 days to 3. Here is what changed, step by step.",
    "kind": "text",
    "postedAt": "2026-10-14T09:12:00Z",
    "likes": 1284,
    "comments": 96,
    "reposts": 41,
    "urn": "urn:li:activity:2164259024",
    "permalink": "https://www.linkedin.com/we-cut-onboarding-from-14-days-to-3-here-1000",
    "mediaUrl": "https://www.linkedin.com/we-cut-onboarding-from-14-days-to-3-here-1000",
    "details": {}
  },
  {
    "author": {
      "handle": "ananya-rao",
      "type": "person"
    },
    "body": "We're hiring two product marketers in Bengaluru. DM me.",
    "kind": "image",
    "postedAt": "2026-10-08T06:40:00Z",
    "likes": 412,
    "comments": 58,
    "reposts": 19,
    "urn": "urn:li:activity:2872631718",
    "permalink": "https://www.linkedin.com/we-re-hiring-two-product-marketers-in-be-1001",
    "mediaUrl": "https://www.linkedin.com/we-re-hiring-two-product-marketers-in-be-1001",
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try posts by a person in the playground Examples and pricing for posts by a person

Companiescompanies

Company pages for up to ten /company/<slug> handles or URLs.

Field	Type	Meaning
subjects *	list of string · 1-10 items	/company/<slug> handles or URLs.

Response fields, each row of data

Field	Type
universalName	string
urn	string
name	string
industry	string
sizeBucket	string
employeesCount	integer
followers	integer
website	string
linkedinUrl	string
hqLocation	string
hqStreet	string
hqCity	string
hqState	string
hqPostalCode	string
hqCountry	string
about	string
founded	integer
specialities	list of string
logoUrl	string
pageType	string
isVerified	boolean
isActive	boolean
jobsUrl	string
callToActionUrl	string
locations	list of object
employeesByLocation	list of object
details	object

example request · companies

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"companies","subjects":["microsoft"]}'

Example response rows

data · made-up names, real field names

[
  {
    "universalName": "paylane",
    "name": "Paylane",
    "industry": "Financial Services",
    "sizeBucket": "201-500",
    "employeesCount": 342,
    "followers": 48210,
    "website": "https://paylane.example",
    "hqLocation": "Bengaluru, Karnataka, India",
    "founded": 2017,
    "specialities": [
      "Payments",
      "Payouts",
      "APIs"
    ],
    "urn": "urn:li:fsd_company:70566685",
    "logoUrl": "https://img.linkedin.com/paylane.jpg",
    "details": {
      "tagline": "Payments for every shop",
      "employeesBySkill": [
        {
          "skill": "Sales",
          "count": 120
        },
        {
          "skill": "Python",
          "count": 85
        }
      ],
      "employeesByFunction": [
        {
          "function": "Engineering",
          "count": 210
        }
      ]
    }
  },
  {
    "universalName": "northfold",
    "name": "Northfold",
    "industry": "Software Development",
    "sizeBucket": "51-200",
    "employeesCount": 128,
    "followers": 15904,
    "website": "https://northfold.example",
    "hqLocation": "London, England, United Kingdom",
    "founded": 2019,
    "specialities": [
      "Finance automation",
      "Close management"
    ],
    "urn": "urn:li:fsd_company:1275972461",
    "logoUrl": "https://img.linkedin.com/northfold.jpg",
    "details": {
      "tagline": "Freight, simplified",
      "employeesBySkill": [
        {
          "skill": "Sales",
          "count": 90
        },
        {
          "skill": "Python",
          "count": 65
        }
      ],
      "employeesByFunction": [
        {
          "function": "Engineering",
          "count": 160
        }
      ]
    }
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try companies in the playground Examples and pricing for companies

Search peoplesearchPeople

People search. With `company`: that company's people, filtered (employees-of-X). Without it: a GLOBAL search. Give `query` (e.g. "fintech founder") and/or titles. Find founders/leadership via titles (free text: "Founder", "CEO") and/or seniority bands (cxo, owner_partner); functions and tenure narrow further.

Field	Type	Meaning
company	string · ≤400 chars	A /company/<slug> handle or company URL: search only that company's people. Omit for a global search (then give query and/or titles).
query	string · ≤300 chars
titles	list of string	Current job titles, free text ("Founder", "Head of Marketing"); any match.
pastTitles	list of string	Titles the person held before, free text. Global search only.
pastCompanies	list of string	Company names the person worked at before. Global search only.
schools	list of string	School or university names the person attended. Global search only.
locations	list of string
industries	list of string	Leaf names or " > " paths. Validated against LinkedIn's 434-node taxonomy.
companySizes	list of enum	Headcount bands of the person's current employer: 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+. Global search only.1-10 · 11-50 · 51-200 · 201-500 · 501-1000 · 1001-5000 · 5001-10000 · 10001+
seniority	list of enum	Seniority bands: cxo, owner_partner, vice_president, director, experienced_manager, entry_manager, strategic, senior, entry, in_training. Any match.in_training · entry · senior · strategic · entry_manager · experienced_manager · director · vice_president · cxo · owner_partner
functions	list of enum	Job functions: marketing, sales, engineering, finance, operations, product_management, human_resources … Any match.accounting · administrative · arts_and_design · business_development · community_and_social_services · consulting · education · engineering · entrepreneurship · finance · healthcare_services · human_resources · information_technology · legal · marketing · media_and_communication · military_and_protective_services · operations · product_management · program_and_project_management · purchasing · quality_assurance · real_estate · research · sales
yearsAtCompany	list of enum	Tenure at the current company, in bands: lt_1y, 1_2y, 3_5y, 6_10y, gt_10y.lt_1y · 1_2y · 3_5y · 6_10y · gt_10y
yearsOfExperience	list of enum	Total career length, the same bands as yearsAtCompany.lt_1y · 1_2y · 3_5y · 6_10y · gt_10y
recentlyChangedJobs	boolean	true: only people who started a new role recently.
recentlyPosted	boolean	true: only people who posted on LinkedIn recently. Global search only.
personNames	list of string	Person-name / current employer / HQ / language filters (global search honours all).
currentCompanies	list of string	Names of the person's current employer(s). Global search only.
companyHqLocations	list of string	Where the current employer is headquartered. Cities, regions or countries as written on LinkedIn ("Bengaluru", "United States").
profileLanguages	list of string	Languages listed on the profile, by name ("English", "Hindi").
limit	integer · 1-50

Response fields, each row of data

Field	Type
publicId	string
urn	string
name	string
firstName	string
lastName	string
headline	string
about	string
location	string
city	string
state	string
country	string
profileUrl	string
avatarUrl	string
coverUrl	string
followers	integer
connections	integer
isPremium	boolean
isOpenToWork	boolean
isHiring	boolean
isVerified	boolean
isCreator	boolean
isInfluencer	boolean
isOpenProfile	boolean
skills	list of string
companyName	string
positions	list of object
education	list of object
certifications	list of object
languages	list of object
projects	list of object
publications	list of object
courses	list of object
honors	list of object
volunteering	list of object
recommendations	list of object
causes	list of string
details	object

example request · searchPeople

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"searchPeople","company":"stripe","titles":["Head of Data"],"limit":10}'

Example response rows

data · made-up names, real field names

[
  {
    "publicId": "priya-nair",
    "name": "Priya Nair",
    "headline": "Head of Marketing · Ledgerly",
    "companyName": "Ledgerly",
    "location": "Bengaluru, Karnataka, India",
    "followers": 5120,
    "connections": 500,
    "isOpenToWork": false,
    "isHiring": false,
    "skills": [
      "Demand generation",
      "Fintech"
    ],
    "urn": "urn:li:fsd_profile:1103731855",
    "avatarUrl": "https://img.linkedin.com/priya-nair.jpg",
    "isPremium": false,
    "positions": [
      {
        "companyName": "Ledgerly",
        "title": "Head of Marketing",
        "startedOn": "2019-01",
        "isCurrent": true
      }
    ],
    "details": {}
  },
  {
    "publicId": "arjun-mehta",
    "name": "Arjun Mehta",
    "headline": "Marketing Director at Coinmint",
    "companyName": "Coinmint",
    "location": "Bengaluru, Karnataka, India",
    "followers": 3380,
    "connections": 500,
    "isOpenToWork": false,
    "isHiring": true,
    "skills": [
      "Performance marketing",
      "Payments"
    ],
    "urn": "urn:li:fsd_profile:1983785629",
    "avatarUrl": "https://img.linkedin.com/arjun-mehta.jpg",
    "isPremium": false,
    "positions": [
      {
        "companyName": "Coinmint",
        "title": "Marketing Director",
        "startedOn": "2020-02",
        "isCurrent": true
      }
    ],
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try search people in the playground Examples and pricing for search people

Search companiessearchCompanies

Company search by keyword and structured filters.

Field	Type	Meaning
query	string · ≤300 chars
locations	list of string
companySizes	list of enum	Headcount bands: 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+; any match.1-10 · 11-50 · 51-200 · 201-500 · 501-1000 · 1001-5000 · 5001-10000 · 10001+
industries	list of string	Industry names, leaf or " > " path, from LinkedIn's own taxonomy.
limit	integer · 1-50

Response fields, each row of data

Field	Type
universalName	string
urn	string
name	string
industry	string
sizeBucket	string
employeesCount	integer
followers	integer
website	string
linkedinUrl	string
hqLocation	string
hqStreet	string
hqCity	string
hqState	string
hqPostalCode	string
hqCountry	string
about	string
founded	integer
specialities	list of string
logoUrl	string
pageType	string
isVerified	boolean
isActive	boolean
jobsUrl	string
callToActionUrl	string
locations	list of object
employeesByLocation	list of object
details	object

example request · searchCompanies

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"searchCompanies","query":"fintech","locations":["London"],"limit":10}'

Example response rows

data · made-up names, real field names

[
  {
    "universalName": "ledgerly",
    "name": "Ledgerly",
    "industry": "Software Development",
    "sizeBucket": "11-50",
    "employeesCount": 38,
    "followers": 4120,
    "website": "https://ledgerly.example",
    "hqLocation": "Berlin, Germany",
    "founded": 2021,
    "specialities": [
      "Accounting software",
      "SMBs"
    ],
    "urn": "urn:li:fsd_company:4164023981",
    "logoUrl": "https://img.linkedin.com/ledgerly.jpg",
    "details": {
      "tagline": "Payments for every shop"
    }
  },
  {
    "universalName": "coinmint",
    "name": "Coinmint",
    "industry": "Financial Services",
    "sizeBucket": "51-200",
    "employeesCount": 96,
    "followers": 12800,
    "website": "https://coinmint.example",
    "hqLocation": "Berlin, Germany",
    "founded": 2018,
    "specialities": [
      "Crypto custody"
    ],
    "urn": "urn:li:fsd_company:1700968753",
    "logoUrl": "https://img.linkedin.com/coinmint.jpg",
    "details": {
      "tagline": "Freight, simplified"
    }
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try search companies in the playground Examples and pricing for search companies

Jobsjobs

Job listings search: `query` is the job-title anchor, the rest narrow it.

Field	Type	Meaning
query *	string · ≤300 chars
locations	list of string
companies	list of string	Hiring company names, as written on LinkedIn; any match.
industries	list of string	Industry names, leaf or " > " path, from LinkedIn's own taxonomy.
workplace	list of enum	remote · hybrid · onsite
employmentType	list of enum	full_time · part_time · contract · internship · temporary
experienceLevel	list of enum	Levels: internship, entry, associate, mid_senior, director, executive.internship · entry · associate · mid_senior · director · executive
postedWithin	enum	1h · 1d · 7d · 30d
salaryMin	integer · 40-1000	Thousands of USD a year, 40 and up; filtered in LinkedIn's $20k bands.
easyApply	boolean	true: only listings that take applications on LinkedIn itself.
under10Applicants	boolean	true: only listings with fewer than ten applicants so far.
sort	enum	Unset = the platform's default order.relevance · newest
limit	integer · 1-50

Response fields, each row of data

Field	Type
jobId	string
title	string
companyName	string
location	string
city	string
state	string
country	string
employmentType	string
workplaceType	string
isRemoteAllowed	boolean
experienceLevel	string
industries	list of string
functions	list of string
salaryText	string
listedAt	string
expiresAt	string
applicants	integer
url	string
applyUrl	string
applicantTrackingSystem	string
description	string
descriptionHtml	string
companyUrn	string
companySlug	string
companyUrl	string
companyLogoUrl	string
companyWebsite	string
companyDescription	string
companyEmployees	integer
companyFollowers	integer
details	object

example request · jobs

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"jobs","query":"data engineer","locations":["Berlin"],"postedWithin":"7d","limit":10}'

Example response rows

data · real rows, business data

[
  {
    "jobId": "4430707116",
    "title": "Product Manager (Manufacturing) - Hybrid",
    "companyName": "MacLean Power Systems",
    "location": "Manteca, California, United States",
    "employmentType": "full_time",
    "listedAt": "2026-08-22T15:42:18+00:00",
    "applyUrl": "https://jobs.dayforcehcm.com/en-US/mlp/CANDIDATEPORTAL/jobs/15691?src=LinkedIn",
    "description": "MPS in Stockton, CA is seeking a talented Product Manager (Overhead High Voltage Switchgear). In this role you will be responsible for managing product portfolios, providing technical and commercial support to customers, and developing strategic and tactical plans encompassing the market and competitive analysis for our Stockton facility.\n\nThis role is Hybrid 3-2, and our facility is located in Stockton, CA.\n\nWhat You’ll Do\n\nOversee the implementation of technical product solutions for clients a",
    "details": {}
  },
  {
    "jobId": "4419567749",
    "title": "Sr. Engineering and Product Manager",
    "companyName": "Justrite Safety Group",
    "location": "Broomfield, Colorado, United States",
    "employmentType": "full_time",
    "listedAt": "2026-08-22T15:22:45+00:00",
    "applyUrl": "https://recruiting2.ultipro.com/JUS1001JUSTM/JobBoard/2d5c8dc9-71e2-46d7-aa3d-305883f6102b/OpportunityDetail?opportunityId=12d54091-fc20-4284-8485-92c704543815&source=LinkedIn",
    "description": "About Justrite Safety Group\n\nAt Justrite Safety Group, we're more than just a collection of industrial safety companies; we're a dynamic organization dedicated to protecting people, property, and the planet. Our ever-growing portfolio of companies collaborates to deliver advanced industrial safety solutions that set the standard for excellence.\n\nAs our business continues to grow, we continue to look for top talent to join our team as we lead the charge in revolutionizing industrial safety, ensur",
    "details": {}
  }
]

Rows from an earlier run. The rows show the most used fields; a live row carries every field in the table above.

Try jobs in the playground Examples and pricing for jobs

Search postssearchPosts

Search LinkedIn POSTS by keyword. The content itself, not people or companies. `query` is the search ("layoffs fintech", a product name, a hashtag). Narrow by who is mentioned, the content type (videos, images, documents…), how recent, and sort by relevance or date.

Field	Type	Meaning
query *	string · ≤300 chars	Words the posts must contain. Always needed, even with mentioning (a mention-only ask is refused, verified 2026-09-23): to list all that tags a company or person, use their name as the query.
mentioning	list of string	Only posts that tag these people or companies: /in/<slug> or /company/<slug> handles, or their URLs.
contentType	enum	What kind of post: videos, images, jobs, live_videos, documents, collaborative_articles. Omit or "all" for every kind.all · videos · images · jobs · live_videos · documents · collaborative_articles
postedWithin	enum	any · 1h · 1d · 7d · 30d · 3m · 6m · 1y
sort	enum	relevance · newest
includeReposts	boolean	true: reposts of other people's posts count as hits too.
includeQuotePosts	boolean	true: posts that quote another post count as hits too.
limit	integer · 1-50

Response fields, each row of data

Field	Type
urn	string
body	string
kind	string
postedAt	string
permalink	string
mediaUrl	string
mediaType	string
likes	integer
comments	integer
reposts	integer
author	object
mentions	list of object
details	object

example request · searchPosts

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"searchPosts","query":"AI agents","postedWithin":"7d","limit":10}'

Example response rows

data · made-up names, real field names

[
  {
    "author": {
      "handle": "marcus-lee",
      "type": "person"
    },
    "body": "Layoffs in fintech this quarter: what I'm hearing from 40 sales leaders.",
    "kind": "text",
    "postedAt": "2026-10-15T08:00:00Z",
    "likes": 3120,
    "comments": 402,
    "reposts": 210,
    "urn": "urn:li:activity:31086471",
    "permalink": "https://www.linkedin.com/layoffs-in-fintech-this-quarter-what-i-m-1000",
    "mediaUrl": "https://www.linkedin.com/layoffs-in-fintech-this-quarter-what-i-m-1000",
    "details": {}
  },
  {
    "author": {
      "handle": "leila-haddad",
      "type": "person"
    },
    "body": "If you were part of the fintech layoffs, I'm sharing 25 open roles below.",
    "kind": "text",
    "postedAt": "2026-10-13T15:30:00Z",
    "likes": 1840,
    "comments": 233,
    "reposts": 512,
    "urn": "urn:li:activity:3331202746",
    "permalink": "https://www.linkedin.com/if-you-were-part-of-the-fintech-layoffs--1001",
    "mediaUrl": "https://www.linkedin.com/if-you-were-part-of-the-fintech-layoffs--1001",
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try search posts in the playground Examples and pricing for search posts

Comments on a postpostComments

Comments on up to ten LinkedIn POSTS, by post URL. `includeReplies` pulls nested replies; `postedWithin` limits how far back to read.

Field	Type	Meaning
subjects *	list of string · 1-10 items	Post URLs.
includeReplies	boolean	true: nested replies come back under their parent comment, not only top-level comments.
postedWithin	enum	any · 1d · 7d · 30d
limit	integer · 1-100

Response fields, each row of data

Field	Type
commentId	string
commentUrl	string
postUrl	string
postUrn	string
commenterProfileId	string
commenterHandle	string
commenterName	string
commenterHeadline	string
commenterUrl	string
commenterAvatarUrl	string
commenterType	string
commenterFollowers	integer
isAuthor	boolean
edited	boolean
likes	integer
replies	integer
reactions	list of object
body	string
commentedAt	string
mentions	list of string
postAuthor	string
postAuthorHandle	string
postAuthorUrl	string
postAuthorHeadline	string
postAuthorAvatarUrl	string
postAuthorProfileId	string
postAuthorType	string
postText	string
postPostedAt	string
postMediaUrl	string
postLikes	integer
postComments	integer
postReposts	integer
details	object

example request · postComments

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"postComments","subjects":["https://www.linkedin.com/posts/<post-id>"],"limit":25}'

Example response rows

data · made-up names, real field names

[
  {
    "commenterHandle": "priya-nair",
    "commenterName": "Priya Nair",
    "commenterHeadline": "Product Lead at Ledgerly",
    "body": "This matches what we saw. Did churn move too?",
    "likes": 34,
    "replies": 3,
    "commentedAt": "2026-10-14T10:02:00Z",
    "postAuthor": "Ananya Rao",
    "isAuthor": false,
    "commentId": "3095264851",
    "commentUrl": "https://www.linkedin.com/priya-nair-1000",
    "postUrl": "https://www.linkedin.com/priya-nair-1000",
    "postUrn": "urn:li:activity:1393902121",
    "commenterProfileId": "3708772264",
    "commenterUrl": "https://www.linkedin.com/priya-nair-1000",
    "postAuthorUrl": "https://www.linkedin.com/priya-nair-1000",
    "details": {}
  },
  {
    "commenterHandle": "tom-becker",
    "commenterName": "Tom Becker",
    "commenterHeadline": "Founder, Brightdesk",
    "body": "Saving this for our next planning week.",
    "likes": 12,
    "replies": 0,
    "commentedAt": "2026-10-14T10:40:00Z",
    "postAuthor": "Ananya Rao",
    "isAuthor": false,
    "commentId": "2364499118",
    "commentUrl": "https://www.linkedin.com/tom-becker-1001",
    "postUrl": "https://www.linkedin.com/tom-becker-1001",
    "postUrn": "urn:li:activity:492950413",
    "commenterProfileId": "1378818087",
    "commenterUrl": "https://www.linkedin.com/tom-becker-1001",
    "postAuthorUrl": "https://www.linkedin.com/tom-becker-1001",
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try comments on a post in the playground Examples and pricing for comments on a post

Comments by a personprofileComments

A profile's OWN commenting activity. The comments up to ten people left across LinkedIn, by /in/<slug> handle, newest first.

Field	Type	Meaning
subjects *	list of string · 1-10 items	/in/<slug> handles or profile URLs.
postedWithin	enum	any · 1d · 7d · 30d
limit	integer · 1-100

Response fields, each row of data

Field	Type
commentId	string
commentUrl	string
postUrl	string
postUrn	string
commenterProfileId	string
commenterHandle	string
commenterName	string
commenterHeadline	string
commenterUrl	string
commenterAvatarUrl	string
commenterType	string
commenterFollowers	integer
isAuthor	boolean
edited	boolean
likes	integer
replies	integer
reactions	list of object
body	string
commentedAt	string
mentions	list of string
postAuthor	string
postAuthorHandle	string
postAuthorUrl	string
postAuthorHeadline	string
postAuthorAvatarUrl	string
postAuthorProfileId	string
postAuthorType	string
postText	string
postPostedAt	string
postMediaUrl	string
postLikes	integer
postComments	integer
postReposts	integer
details	object

example request · profileComments

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"profileComments","subjects":["satyanadella"],"limit":25}'

Example response rows

data · made-up names, real field names

[
  {
    "commenterHandle": "marcus-lee",
    "commenterName": "Marcus Lee",
    "commenterHeadline": "VP Sales, EMEA | B2B SaaS",
    "body": "Strong take. Discovery calls are where most deals are lost.",
    "likes": 48,
    "replies": 5,
    "commentedAt": "2026-10-15T07:30:00Z",
    "postAuthor": "Emma Novak",
    "isAuthor": false,
    "commentId": "3190665176",
    "commentUrl": "https://www.linkedin.com/marcus-lee-1000",
    "postUrl": "https://www.linkedin.com/marcus-lee-1000",
    "postUrn": "urn:li:activity:1646120582",
    "commenterProfileId": "1150986638",
    "commenterUrl": "https://www.linkedin.com/marcus-lee-1000",
    "postAuthorUrl": "https://www.linkedin.com/marcus-lee-1000",
    "details": {}
  },
  {
    "commenterHandle": "marcus-lee",
    "commenterName": "Marcus Lee",
    "commenterHeadline": "VP Sales, EMEA | B2B SaaS",
    "body": "Congrats on the launch, team!",
    "likes": 9,
    "replies": 1,
    "commentedAt": "2026-10-12T16:05:00Z",
    "postAuthor": "Daniel Kim",
    "isAuthor": false,
    "commentId": "4239718143",
    "commentUrl": "https://www.linkedin.com/marcus-lee-1001",
    "postUrl": "https://www.linkedin.com/marcus-lee-1001",
    "postUrn": "urn:li:activity:3776163747",
    "commenterProfileId": "3190281601",
    "commenterUrl": "https://www.linkedin.com/marcus-lee-1001",
    "postAuthorUrl": "https://www.linkedin.com/marcus-lee-1001",
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try comments by a person in the playground Examples and pricing for comments by a person

Reactions on a postpostReactions

Reactions on up to ten LinkedIn POSTS, by post URL. Who reacted and how. `reactionTypes` filters to specific reactions (Like, Celebrate…).

Field	Type	Meaning
subjects *	list of string · 1-10 items	Post URLs.
reactionTypes	list of enum	Keep only these reactions: like, celebrate, support, love, insightful, funny. Omit for all of them.like · celebrate · support · love · insightful · funny
limit	integer · 1-100

Response fields, each row of data

Field	Type
reactorProfileId	string
reactorHandle	string
reactorName	string
reactorHeadline	string
reactorUrl	string
reactorAvatarUrl	string
reactorLocation	string
reactionType	string
postUrn	string
postUrl	string
postAuthor	string
postAuthorHandle	string
postAuthorUrl	string
postAuthorHeadline	string
postAuthorProfileId	string
postAuthorType	string
postText	string
postPostedAt	string
postMediaUrl	string
postLikes	integer
postComments	integer
postReposts	integer
reactedAt	string
details	object

example request · postReactions

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"postReactions","subjects":["https://www.linkedin.com/posts/<post-id>"],"reactionTypes":["like"],"limit":25}'

Example response rows

data · made-up names, real field names

[
  {
    "reactorHandle": "priya-nair",
    "reactorName": "Priya Nair",
    "reactorHeadline": "Product Lead at Ledgerly",
    "reactorLocation": "Mumbai, India",
    "reactionType": "LIKE",
    "postAuthor": "Ananya Rao",
    "reactedAt": "2026-10-14T09:30:00Z",
    "reactorProfileId": "4155200177",
    "reactorUrl": "https://www.linkedin.com/priya-nair-1000",
    "postUrn": "urn:li:activity:492783029",
    "postUrl": "https://www.linkedin.com/priya-nair-1000",
    "postAuthorUrl": "https://www.linkedin.com/priya-nair-1000",
    "details": {}
  },
  {
    "reactorHandle": "daniel-kim",
    "reactorName": "Daniel Kim",
    "reactorHeadline": "Engineering Manager at Kitebank",
    "reactorLocation": "Seoul, South Korea",
    "reactionType": "PRAISE",
    "postAuthor": "Ananya Rao",
    "reactedAt": "2026-10-14T09:41:00Z",
    "reactorProfileId": "1968241913",
    "reactorUrl": "https://www.linkedin.com/daniel-kim-1001",
    "postUrn": "urn:li:activity:3363527946",
    "postUrl": "https://www.linkedin.com/daniel-kim-1001",
    "postAuthorUrl": "https://www.linkedin.com/daniel-kim-1001",
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try reactions on a post in the playground Examples and pricing for reactions on a post

Reactions by a personprofileReactions

A profile's OWN reactions. What up to ten people reacted to across LinkedIn, by /in/<slug> handle, newest first.

Field	Type	Meaning
subjects *	list of string · 1-10 items	/in/<slug> handles or profile URLs.
postedWithin	enum	any · 1d · 7d · 30d
limit	integer · 1-100

Response fields, each row of data

Field	Type
reactorProfileId	string
reactorHandle	string
reactorName	string
reactorHeadline	string
reactorUrl	string
reactorAvatarUrl	string
reactorLocation	string
reactionType	string
postUrn	string
postUrl	string
postAuthor	string
postAuthorHandle	string
postAuthorUrl	string
postAuthorHeadline	string
postAuthorProfileId	string
postAuthorType	string
postText	string
postPostedAt	string
postMediaUrl	string
postLikes	integer
postComments	integer
postReposts	integer
reactedAt	string
details	object

example request · profileReactions

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"profileReactions","subjects":["satyanadella"],"limit":25}'

Example response rows

data · made-up names, real field names

[
  {
    "reactorHandle": "sofia-ortiz",
    "reactorName": "Sofia Ortiz",
    "reactorHeadline": "Data Engineer · Python, dbt, Airflow",
    "reactorLocation": "Austin, Texas, United States",
    "reactionType": "LIKE",
    "postAuthor": "Tom Becker",
    "postText": "We open-sourced our data quality checks.",
    "reactedAt": "2026-10-15T14:10:00Z",
    "reactorProfileId": "3680798353",
    "reactorUrl": "https://www.linkedin.com/sofia-ortiz-1000",
    "postUrn": "urn:li:activity:3845499993",
    "postUrl": "https://www.linkedin.com/sofia-ortiz-1000",
    "postAuthorUrl": "https://www.linkedin.com/sofia-ortiz-1000",
    "details": {}
  },
  {
    "reactorHandle": "sofia-ortiz",
    "reactorName": "Sofia Ortiz",
    "reactorHeadline": "Data Engineer · Python, dbt, Airflow",
    "reactorLocation": "Austin, Texas, United States",
    "reactionType": "EMPATHY",
    "postAuthor": "Leila Haddad",
    "postText": "Today is my last day at Coinmint.",
    "reactedAt": "2026-10-12T18:22:00Z",
    "reactorProfileId": "3776001972",
    "reactorUrl": "https://www.linkedin.com/sofia-ortiz-1001",
    "postUrn": "urn:li:activity:1372690733",
    "postUrl": "https://www.linkedin.com/sofia-ortiz-1001",
    "postAuthorUrl": "https://www.linkedin.com/sofia-ortiz-1001",
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try reactions by a person in the playground Examples and pricing for reactions by a person

Ads by a companyadsLibrary

Ads from the LinkedIn Ad Library, by Ad Library URL. An advertiser's page (all their live ads) or a single ad's detail URL.

Field	Type	Meaning
subject *	string · ≤400 chars	An Ad Library URL. An advertiser page or one ad's detail page.
limit	integer · 1-100

Response fields, each row of data

Field	Type
adId	string
adUrl	string
advertiserUrl	string
paidBy	string
headline	string
body	string
format	string
mediaType	string
mediaUrl	string
clickUrl	string
impressions	integer
targetingLocation	string
started	string
ended	string
daysActive	integer
details	object

example request · adsLibrary

curl -X POST https://apiforagents.dev/v1/linkedin \
  -H "Authorization: Bearer $AFA_KEY" \
  -H "Content-Type: application/json" \
  -d '{"op":"adsLibrary","subject":"https://www.linkedin.com/ad-library/search?companyIds=<company-id>","limit":10}'

Example response rows

data · made-up names, real field names

[
  {
    "paidBy": "Northfold",
    "headline": "Close your books 3x faster",
    "body": "Finance teams at 400+ companies close in 2 days.",
    "format": "SINGLE_IMAGE",
    "mediaType": "image",
    "impressions": "10k-50k",
    "targetingLocation": "United Kingdom",
    "started": "2026-09-02",
    "daysActive": 44,
    "adId": "3114963231",
    "adUrl": "https://www.linkedin.com/finance-teams-at-400-companies-close-in--1000",
    "advertiserUrl": "https://www.linkedin.com/finance-teams-at-400-companies-close-in--1000",
    "mediaUrl": "https://www.linkedin.com/finance-teams-at-400-companies-close-in--1000",
    "clickUrl": "https://www.linkedin.com/finance-teams-at-400-companies-close-in--1000",
    "details": {}
  },
  {
    "paidBy": "Northfold",
    "headline": "The 2026 finance team benchmark",
    "body": "Download the report: 1,200 teams surveyed.",
    "format": "DOCUMENT",
    "mediaType": "document",
    "impressions": "50k-100k",
    "targetingLocation": "Europe",
    "started": "2026-09-20",
    "daysActive": 26,
    "adId": "3288908810",
    "adUrl": "https://www.linkedin.com/download-the-report-1-200-teams-surveyed-1001",
    "advertiserUrl": "https://www.linkedin.com/download-the-report-1-200-teams-surveyed-1001",
    "mediaUrl": "https://www.linkedin.com/download-the-report-1-200-teams-surveyed-1001",
    "clickUrl": "https://www.linkedin.com/download-the-report-1-200-teams-surveyed-1001",
    "details": {}
  }
]

An example to show the shape. The rows show the most used fields; a live row carries every field in the table above.

Try ads by a company in the playground Examples and pricing for ads by a company

Historyhistoryfree

The stored time series. Free, reads what captures already wrote.

Field	Type	Meaning
subjects *	list of string · 1-10 items	Handles or URLs of the chosen entity kind.
entity	enum	Whose series: "people" (/in/ handles) or "companies" (/company/ handles).people · companies
metric	string	people: followers \| connections; companies: followers \| employees_count
days	integer · 1-730

Response fields, each row of data

Field	Type
subject
metric
points[].date
points[].value

Try history in the playground

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