LinkedIn Profile Scraper API

Get job, company and education details from LinkedIn profile URLs, from your AI assistant, no-code workflow or own code.

View on GitHub API Reference

From $0.014 per Profile
No LinkedIn Login Needed
10,000 Profiles per Task

Your list
LinkedIn profile URL
linkedin.com/in/maya-lindqvist
linkedin.com/in/tom-okafor
linkedin.com/in/lea-moreau

What you get back
Name	Job title	Company
Maya Lindqvist	Head of Sales	Brightwave Analytics
Tom Okafor	Operations Lead	Northpeak Logistics
Léa Moreau	Founder	Juniper & Vale Studio

See the API call

Trusted by 38,000+ users at startups and Fortune 500 teams

Works with any tool that can send HTTP requests

Claude
Cursor
Codex
Make
n8n
Zapier
Your own code

Get Started

Pick Your Way In

Let an AI assistant or your automation tool do the setup, or call the REST API from your own code.

Paste the setup prompt

Copy the prompt for Claude Code, Codex or Cursor, or for Make, n8n or Zapier, and paste it in. The AI creates a Datablist folder on your computer and sets everything up.

Paste your API key

When the AI asks, copy your API key from the Datablist app and paste it into the .env file it opened. Never paste it into the chat.

Get your API key

Get your results

Send your list of LinkedIn profile URLs and get one row back per profile: name, headline, location, current job and company, ready for your sheet or CRM.

See a sample result

Using Make, n8n or Zapier? Here is every field for the HTTP request

Use the HTTP request module or node your tool offers. You need three steps: send the list, wait, then read the results.

1. Send your list (HTTP request)

Method: POST
URL: https://api.datablist.com/v1/enrichments/tasks
Headers: X-API-Key = your API key
Content-Type = application/json
Body (JSON): json
{ "enrichmentId": "linkedin-profile-scraper", "uniqueId": "linkedin-profile-scraper-import-1", "settings": { "experiencesNb": "3", "educationsNb": "1" }, "inputs": [ {"inputId": "row-1", "data": {"profileUrl": "https://www.linkedin.com/in/maya-lindqvist/"}}, {"inputId": "row-2", "data": {"profileUrl": "https://www.linkedin.com/in/tom-okafor/"}}, {"inputId": "row-3", "data": {"profileUrl": "https://www.linkedin.com/in/lea-moreau/"}} ] }
Keep: The @id from the response. That is your task ID.

2. Wait until it is done

Add a short wait or delay, then a GET request to https://api.datablist.com/v1/enrichments/tasks/TASK_ID with the same X-API-Key header. Repeat until status is completed.

3. Read the results

GET https://api.datablist.com/v1/enrichments/tasks/TASK_ID/results?limit=50. Map outputs to your columns. If nextCursor is not empty, call again with &cursor= plus that value.

View on GitHub API Reference

Create a task with one request. The full script with polling and results is in the developer section.

curl --request POST 'https://api.datablist.com/v1/enrichments/tasks' \
  --header 'X-API-Key: YOUR_PERSONAL_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "enrichmentId": "linkedin-profile-scraper",
    "uniqueId": "linkedin-profile-scraper-import-1",
    "settings": {
      "experiencesNb": "3",
      "educationsNb": "1"
    },
    "inputs": [
      {"inputId": "row-1", "data": {"profileUrl": "https://www.linkedin.com/in/maya-lindqvist/"}},
      {"inputId": "row-2", "data": {"profileUrl": "https://www.linkedin.com/in/tom-okafor/"}},
      {"inputId": "row-3", "data": {"profileUrl": "https://www.linkedin.com/in/lea-moreau/"}}
    ]
  }'

import requests

response = requests.post(
    "https://api.datablist.com/v1/enrichments/tasks",
    headers={"X-API-Key": "YOUR_PERSONAL_API_KEY"},
    json={
      "enrichmentId": "linkedin-profile-scraper",
      "uniqueId": "linkedin-profile-scraper-import-1",
      "settings": {
        "experiencesNb": "3",
        "educationsNb": "1"
      },
      "inputs": [
        {"inputId": "row-1", "data": {"profileUrl": "https://www.linkedin.com/in/maya-lindqvist/"}},
        {"inputId": "row-2", "data": {"profileUrl": "https://www.linkedin.com/in/tom-okafor/"}},
        {"inputId": "row-3", "data": {"profileUrl": "https://www.linkedin.com/in/lea-moreau/"}}
      ]
    },
)
task = response.json()
print(task["@id"], task["status"])

const response = await fetch("https://api.datablist.com/v1/enrichments/tasks", {
  method: "POST",
  headers: {
    "X-API-Key": "YOUR_PERSONAL_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "enrichmentId": "linkedin-profile-scraper",
    "uniqueId": "linkedin-profile-scraper-import-1",
    "settings": {
      "experiencesNb": "3",
      "educationsNb": "1"
    },
    "inputs": [
      {"inputId": "row-1", "data": {"profileUrl": "https://www.linkedin.com/in/maya-lindqvist/"}},
      {"inputId": "row-2", "data": {"profileUrl": "https://www.linkedin.com/in/tom-okafor/"}},
      {"inputId": "row-3", "data": {"profileUrl": "https://www.linkedin.com/in/lea-moreau/"}}
    ]
  }),
});
const task = await response.json();
console.log(task["@id"], task.status);

Overview

At a Glance

Fresh public profile data from a LinkedIn URL: who the person is, where they work and what they studied. No Datablist workspace, collection or import needed.

What you give it

LinkedIn profile URLs: Standard profile links or Sales Navigator lead links
How much history (optional): 3, 5 or 10 past jobs and 1, 3 or 5 schools
Cached profiles (optional): Accept a recent saved copy to pay less

How to set it up

What you get back

The person: Name, headline, summary, location, languages and connections
The current job: Title, start date, company, company website, industry and size
Past jobs and education: As many as you asked for

See a sample result

What it costs

Fresh profile: 25 credits per profile
Cached profile: 20 credits when you accept a saved copy
1,000 credits = $1: Shared with the Datablist app

Estimate your cost

Use Cases

What Teams Build With It

Put LinkedIn Profile Scraper wherever your data already flows.

Sales and SDRs

Research leads before outreach

LinkedIn URL from a lead list
Scrape the profile
Title, company, location

Pull the current role and company for every lead, so your sequence starts with the right person and a relevant first line.

Recruiting

Build candidate profiles

Candidate LinkedIn URL
Scrape the profile
Jobs and education in your ATS

Get past jobs and education for every candidate and keep your ATS or sheet up to date without copy and paste.

RevOps

Spot job changes

Contacts in the CRM
Scrape the profile
New company flagged

Re-run your contacts and compare the current company with the CRM to catch champions who moved to a new account.

Pricing

What Will It Cost You?

Pay per lookup with credits. API access starts on the Growth plan.

Calculator

How much will it cost you?

Tell us how many LinkedIn profiles you need and we'll show you the cheapest way to get them.

LinkedIn profiles to scrape

= 25,000 credits at 25 credits per fresh profile

Fresh or cached?

How credits work

1,000 credits = $1, so each credit costs a tenth of a cent. A fresh profile costs 25 credits and a cached profile 20 credits. A profile that cannot be found may still cost credits, because the lookup work was done. Every result returns creditsUsed, so you can track the real cost per row. Plan credits renew monthly and reset if unused. Top-up credits never expire.

For Developers

Build It Into Your Code

Everything you need to call the REST API directly: code, responses, endpoints, fields, authentication and limits.

View on GitHub API Reference

datablist/linkedin-profile-scraper-api

Official examples: cURL, Python with Requests or async HTTPX, and TypeScript. Put your key in DATABLIST_API_KEY and run.

Open repository

Copy, Paste, Run

A complete script that creates a task, waits for it and prints every result. Replace YOUR_PERSONAL_API_KEY with your key.

# 1. Create the task (returns 202 Accepted and the task "@id")
curl --request POST 'https://api.datablist.com/v1/enrichments/tasks' \
  --header 'X-API-Key: YOUR_PERSONAL_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "enrichmentId": "linkedin-profile-scraper",
    "uniqueId": "linkedin-profile-scraper-import-1",
    "settings": {
      "experiencesNb": "3",
      "educationsNb": "1"
    },
    "inputs": [
      {"inputId": "row-1", "data": {"profileUrl": "https://www.linkedin.com/in/maya-lindqvist/"}},
      {"inputId": "row-2", "data": {"profileUrl": "https://www.linkedin.com/in/tom-okafor/"}},
      {"inputId": "row-3", "data": {"profileUrl": "https://www.linkedin.com/in/lea-moreau/"}}
    ]
  }'

# 2. Poll every few seconds until status is completed, failed or stopped
curl 'https://api.datablist.com/v1/enrichments/tasks/TASK_ID' \
  --header 'X-API-Key: YOUR_PERSONAL_API_KEY'

# 3. Read the results, then follow nextCursor until it is null
curl 'https://api.datablist.com/v1/enrichments/tasks/TASK_ID/results?limit=50' \
  --header 'X-API-Key: YOUR_PERSONAL_API_KEY'

import time
import requests

BASE = "https://api.datablist.com/v1/enrichments"
HEADERS = {"X-API-Key": "YOUR_PERSONAL_API_KEY"}

# 1. Create the task
response = requests.post(f"{BASE}/tasks", headers=HEADERS, json={
  "enrichmentId": "linkedin-profile-scraper",
  "uniqueId": "linkedin-profile-scraper-import-1",
  "settings": {
    "experiencesNb": "3",
    "educationsNb": "1"
  },
  "inputs": [
    {"inputId": "row-1", "data": {"profileUrl": "https://www.linkedin.com/in/maya-lindqvist/"}},
    {"inputId": "row-2", "data": {"profileUrl": "https://www.linkedin.com/in/tom-okafor/"}},
    {"inputId": "row-3", "data": {"profileUrl": "https://www.linkedin.com/in/lea-moreau/"}}
  ]
})
response.raise_for_status()
task_id = response.json()["@id"]

# 2. Poll until the task finishes
while True:
    task = requests.get(f"{BASE}/tasks/{task_id}", headers=HEADERS).json()
    if task["status"] in ("completed", "failed", "stopped"):
        break
    time.sleep(5)

# 3. Read every result page
params = {"limit": 50}
while True:
    page = requests.get(f"{BASE}/tasks/{task_id}/results", headers=HEADERS, params=params).json()
    for result in page["results"]:
        print(result["inputId"], result["status"], result["outputs"])
    if not page["nextCursor"]:
        break
    params["cursor"] = page["nextCursor"]

// Node.js 18+ or any runtime with fetch. Keep your key on the server.
const BASE = "https://api.datablist.com/v1/enrichments";
const HEADERS = { "X-API-Key": "YOUR_PERSONAL_API_KEY" };
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));

// 1. Create the task
const created = await fetch(`${BASE}/tasks`, {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "enrichmentId": "linkedin-profile-scraper",
    "uniqueId": "linkedin-profile-scraper-import-1",
    "settings": {
      "experiencesNb": "3",
      "educationsNb": "1"
    },
    "inputs": [
      {"inputId": "row-1", "data": {"profileUrl": "https://www.linkedin.com/in/maya-lindqvist/"}},
      {"inputId": "row-2", "data": {"profileUrl": "https://www.linkedin.com/in/tom-okafor/"}},
      {"inputId": "row-3", "data": {"profileUrl": "https://www.linkedin.com/in/lea-moreau/"}}
    ]
  }),
});
if (!created.ok) throw new Error(`Create failed: ${created.status}`);
const taskId = (await created.json())["@id"];

// 2. Poll until the task finishes
let task;
do {
  await sleep(5000);
  task = await (await fetch(`${BASE}/tasks/${taskId}`, { headers: HEADERS })).json();
} while (!["completed", "failed", "stopped"].includes(task.status));

// 3. Read every result page
let cursor = null;
do {
  const url = new URL(`${BASE}/tasks/${taskId}/results`);
  url.searchParams.set("limit", "50");
  if (cursor) url.searchParams.set("cursor", cursor);
  const page = await (await fetch(url, { headers: HEADERS })).json();
  for (const result of page.results) {
    console.log(result.inputId, result.status, result.outputs);
  }
  cursor = page.nextCursor;
} while (cursor);

What the API Returns

One result per input, with your inputId, a status, the outputs and the credits used. Sample data.

GET /resultsjson

{
  "taskId": "00000000000040008000000000000001",
  "results": [
    {
      "inputId": "row-1",
      "status": "success",
      "outputs": {
        "profileUrl": "https://www.linkedin.com/in/maya-lindqvist/",
        "firstName": "Maya",
        "lastName": "Lindqvist",
        "fullName": "Maya Lindqvist",
        "linkedInHeadline": "Head of Sales at Brightwave Analytics",
        "linkedInCity": "Stockholm",
        "linkedInCountryCode": "SE",
        "linkedInLocation": "Stockholm, Sweden",
        "linkedInlastExpTitle": "Head of Sales",
        "linkedInlastExpStartsAt": "2023-02-01",
        "linkedInlastExpCompany": "Brightwave Analytics",
        "linkedInlastExpCompanyWebsite": "https://www.brightwaveanalytics.com",
        "linkedInlastExpCompanyIndustry": "Software Development",
        "linkedInlastExpCompanyRange": "51-200",
        "linkedInlastEduSchool": "Example University",
        "linkedInLanguages": "English, Swedish",
        "linkedInConnections": "500"
      },
      "creditsUsed": "25",
      "error": null
    }
  ],
  "nextCursor": null
}

Endpoints and Fields

All paths are relative to https://api.datablist.com. Field definitions come from GET /v1/enrichments/linkedin-profile-scraper (docs updated Oct 21, 2026). Schema version: 2026-09-12.

View API schema (JSON) (opens in a new tab)

GET: /v1/enrichments/linkedin-profile-scraper; Read the schema, no key needed
POST: /v1/enrichments/tasks; Create a task
GET: /v1/enrichments/tasks/{taskId}; Poll status and progress
GET: /v1/enrichments/tasks/{taskId}/results; Read results, 1 to 100 per page
POST: /v1/enrichments/tasks/{taskId}/stop; Cancel a running task
GET: /v1/enrichments/tasks; Task history, newest first

Schema Reference

Send settings once per task and one data object per input. Results can include extra fields as the enrichment evolves, so keep unknown keys when you parse outputs.

Show all settings, inputs and outputs

Settings

Settings
`includeUrn`Include LinkedIn Internal ID (URN)	Boolean	Include the LinkedIn internal identifier (URN), for example: ACoAAAIJflYBlveEKEKWvVsjTP4QeXHK8KfcKHg. This ID can be used to build Sales Navigator URLs, like https://www.linkedin.com/sales/lead/XXXX. Enabled when: `acceptCachedProfiles==false`
`includePictures`Include Pictures	Boolean	Include the LinkedIn profile picture and the company logo URL. ⚠️ These URLs expire fast. Download the images to avoid broken links. Enabled when: `acceptCachedProfiles==false`
`acceptCachedProfiles`Accept cached profiles	Boolean	Default behavior is to fetch fresh LinkedIn profile data. Enable this option to use cached profiles when available. Cached profiles cost 20 credits per profile. Enabled when: `includeUrn==false&includePictures==false`
`experiencesNb`Experiences to return	Text	How many work experiences to return. Default to 3.Allowed values: `"3"`, `"5"`, `"10"`
`educationsNb`Educations to return	Text	How many educations to return. Default to 1.Allowed values: `"1"`, `"3"`, `"5"`

Inputs (data)

Inputs (data)
`profileUrl`requiredPerson's LinkedIn Profile	Text	LinkedIn Profile Identifier. Works with standard profile URLs (https://linkedin.com/in/xxx) and Sales Navigator URLs (https://www.linkedin.com/sales/lead/xxxx).

Outputs

Outputs
`linkedInInternalIdentifier`LinkedIn Internal ID (URN)	Text	The unique internal LinkedIn identifier (URN). Example: ACoAAAIJflYBlveEKEKWvVsjTP4QeXHK8KfcKHg. Use it to build Sales Navigator URLs like https://www.linkedin.com/sales/lead/XXXX. Enabled when: `acceptCachedProfiles==false&includeUrn==true`
`profileUrl`LinkedIn Profile URL Normalized	Text	The clean and standardized LinkedIn Public Profile URL. In the format: https://www.linkedin.com/in/xxxFormat: `uri`
`firstName`First Name	Text	The first name of the profile
`lastName`Last Name	Text	The last name of the profile
`fullName`Full Name	Text	The full name of the profile
`linkedInHeadline`Headline	Text	The tagline on the user profile.
`linkedInSummary`Summary	Text	A blurb (longer than the tagline) written by the user for his profile.
`linkedInCity`City	Text	The city of the profile
`linkedInState`State	Text	The state of the profile
`linkedInCountryCode`Country	Text	The country code of the profile. 2-letter country code (ISO 3166-1 alpha-2).
`linkedInCountryName`Country Name	Text	The profile's country of residence, in English words.
`linkedInLocation`Location	Text	Full Location text
`linkedInProfilePicture`LinkedIn Profile Picture	Text	These URLs expire fast. Download the images to avoid broken links. Enabled when: `acceptCachedProfiles==false&includePictures==true`
`linkedInlastExpTitle`Title (Current or last experience)	Text	The title of the current (or last) experience
`linkedInlastExpEmploymentType`Employment Type (Current or last experience)	Text	The employment type of the current (or last) experience.
`linkedInlastExpDescription`Description (Current or last experience)	Text	The description of the current (or last) experience
`linkedInlastExpStartsAt`Start Date (Current or last experience)	Text	The start date of the current (or last) experience.Format: `date`
`linkedInlastExpEndsAt`End date (Current or last experience)	Text	The end date of the last experience. None if still active.Format: `date`
`linkedInlastExpLocation`Location (Current or last experience)	Text	The location of the current (or last) experience
`linkedInlastExpCompany`Company Name (Current or last experience)	Text	The company name of the current (or last) experience.
`linkedInlastExpCompanyPage`Company page URL (Current or last experience)	Text	LinkedIn company's profile URL of the current (or last) experience.
`linkedInlastExpCompanyWebsite`Company website (Current or last experience)	Text	Company Website of the current (or last) experience.
`linkedInlastExpCompanyDescription`Company description (Current or last experience)	Text	The company description from the LinkedIn company page of the current or last experience.
`linkedInlastExpCompanyIndustry`Company Industry (Current or last experience)	Text	Company Industry of the current (or last) experience.
`linkedInlastExpCompanyRange`Company employee range (Current or last experience)	Text	Size of the company. In the form: 1, 2-10, 11-50, etc.
`linkedInlastExpCompanyLogo`Company Logo (Current or last experience)	Text	These URLs expire fast. Download the images to avoid broken links. Enabled when: `acceptCachedProfiles==false&includePictures==true`
`linkedIn2ExpTitle`Title (Experience #2)	Text	The title from the second most recent work experience. If available.
`linkedIn2ExpEmploymentType`Employment Type (Experience #2)	Text	The employment type from the second most recent work experience. If available.
`linkedIn2ExpDescription`Description (Experience #2)	Text	The description from the second most recent work experience. If available.
`linkedIn2ExpStartsAt`Start Date (Experience #2)	Text	The start date from the second most recent work experience. If available.Format: `date`
`linkedIn2ExpEndsAt`End date (Experience #2)	Text	The end date from the second most recent work experience. If available.Format: `date`
`linkedIn2ExpCompanyName`Company Name (Experience #2)	Text	The company name from the second most recent work experience. If available.
`linkedIn2ExpLogo`Company Logo (Experience #2)	Text	These URLs expire fast. Download the images to avoid broken links. Enabled when: `acceptCachedProfiles==false&includePictures==true`
`linkedIn3ExpTitle`Title (Experience #3)	Text	The title from the third most recent work experience. If available.
`linkedIn3ExpEmploymentType`Employment Type (Experience #3)	Text	The employment type from the third most recent work experience. If available.
`linkedIn3ExpDescription`Description (Experience #3)	Text	The description from the third most recent work experience. If available.
`linkedIn3ExpStartsAt`Start Date (Experience #3)	Text	The start date from the third most recent work experience. If available.Format: `date`
`linkedIn3ExpEndsAt`End date (Experience #3)	Text	The end date from the third most recent work experience. If available.Format: `date`
`linkedIn3ExpCompanyName`Company Name (Experience #3)	Text	The company name from the third most recent work experience. If available.
`linkedIn3ExpLogo`Company Logo (Experience #3)	Text	These URLs expire fast. Download the images to avoid broken links. Enabled when: `acceptCachedProfiles==false&includePictures==true`
`linkedInlastEduSchool`School (Current or last education)	Text	The school name of the current (or last) education
`linkedInlastEduDegree`Degree (Current or last education)	Text	The degree of the current (or last) education
`linkedInlastEduField`Field of Study (Current or last education)	Text	The field of study of the current (or last) education
`linkedInlastEduStartsAt`Start Date (Current or last education)	Text	The start date of the current (or last) educationFormat: `date`
`linkedInlastEduEndsAt`End date (Current or last education)	Text	The end date of the current (or last) educationFormat: `date`
`linkedInlastEduLogo`Logo URL (Current or last education)	Text	These URLs expire fast. Download the images to avoid broken links. Enabled when: `acceptCachedProfiles==false&includePictures==true`
`linkedInSkills`Skills	Text	Comma-separated list of skills listed on the LinkedIn profile.
`linkedInLanguages`Languages	Text	Comma-separated list of spoken languages of the LinkedIn profile.
`linkedInConnections`Connections	Text	The number of connections of the profile

One Header, Clear Limits

Create a Personal API Key in your Datablist account and send it on every authenticated request.

Authentication

Send your key in the X-API-Key header. Datablist exchanges and renews access tokens for you.

Header: X-API-Key: YOUR_PERSONAL_API_KEY
Optional: manage tokens yourself with Authorization: Bearer from POST /v1/account/token
One or the other: sending both headers returns 400 AmbiguousCredentials
Server side only: keep keys out of URLs, browser code and logs

Create an API key Auth docs

Limits

Inputs per task: 1 to 10,000
Size: 16 KiB per input, 10 MiB per request
Run time: up to 24 hours per task
Task creation: 10 requests per 60 seconds per account
Polling and results: 120 requests per 60 seconds per operation
Active tasks: about 20 at once per account
Retention: tasks and results are kept for 90 days

Limits and errors

FAQ

Frequently Asked Questions

Everything you or your AI coding agent need to integrate the LinkedIn Profile Scraper API: auth, request, polling, results, limits and retries.

: Send your Personal API Key in the X-API-Key header on every request. Create the key at https://app.datablist.com/account/api; API access starts on the Growth plan. Keep it server side, for example in a DATABLIST_API_KEY environment variable or a .env file, and never put it in URLs, browser code or shared chats.
: The API is asynchronous. POST /v1/enrichments/tasks returns 202 Accepted with the task @id. Poll GET /v1/enrichments/tasks/{taskId} every few seconds until the status is completed, failed or stopped, then read GET /v1/enrichments/tasks/{taskId}/results.
: A JSON object with enrichmentId set to "linkedin-profile-scraper", your own uniqueId, a settings object sent once per task and an inputs array. Each input has an inputId and a data object, here with profileUrl. GET /v1/enrichments/linkedin-profile-scraper returns the full schema of settings, inputs and outputs.
: Request up to 100 results per page with the limit parameter and follow nextCursor until it is null. Each result carries your inputId, a status, the outputs, creditsUsed and an error field. Match rows by inputId and ignore output keys you do not know, since new fields can be added. Results are kept for 90 days.
: 1 to 10,000 inputs per task, 16 KiB per input and 10 MiB per request. Task creation allows 10 requests per 60 seconds per account, polling and results 120 requests per 60 seconds per operation, and about 20 tasks can be active at once.

: Do not send the same POST again blindly, the task may already be running. Look up your uniqueId in GET /v1/enrichments/tasks first; reusing the uniqueId of an active task returns 409. POST /v1/enrichments/tasks/{taskId}/stop cancels a task you no longer need.
: Yes. Click Set up with AI and paste the prompt into Claude Code, Codex or Cursor. The prompt names this API and links to the Datablist setup skill on GitHub. The assistant follows the skill, creates a Datablist folder and a .env file, asks you to paste your API key into it, then asks which enrichment to run. In Make, n8n or Zapier you add an HTTP request step with the fields listed on this page.
: No. Datablist fetches the public profile data for you. You never share a LinkedIn login, cookie or session, so your own account is never at risk.
: Fresh profiles are fetched live and cost 25 credits. Set acceptCachedProfiles to true to use a recent saved copy when one exists, at 20 credits. Cached profiles cannot return the URN or pictures.
: Yes. Send a standard profile URL or a Sales Navigator lead URL in profileUrl. The result always returns the clean public profile URL in profileUrl.

Copy a ready-made setup prompt

Pick Your Way In

Paste the setup prompt

Paste your API key

Get your results

1. Send your list (HTTP request)

2. Wait until it is done

3. Read the results

At a Glance

What you give it

What you get back

What it costs

What Teams Build With It

Research leads before outreach

Build candidate profiles

Spot job changes

What Will It Cost You?

How much will it cost you?

How credits work

Build It Into Your Code

Copy, Paste, Run

What the API Returns

Endpoints and Fields

Schema Reference

Settings

Inputs (data)

Outputs

One Header, Clear Limits

Authentication

Limits

Related Tutorials

Frequently Asked Questions

Related APIs, Enrichments and Free Tools

Enrichment APIs

No-code enrichments

Free tools