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LinkedIn Search People API

Scrape LinkedIn Search People data with one API call. Searches LinkedIn members by name and B2B filters (title, current/past company, school, industry, location, language). Returns a paginated list of matching profiles with handle, headline, location, follower count, and the member URN for follow-up enrichment calls. Each page is 10 members. On a plain call `author.followers` is LinkedIn's rounded display bucket, and only on the rows that show one (flagged `author.ext.followers_approximate: true`), and `author.following` is null on every row. Send `include=profile` and every row is joined, in the same call, to the member's profile lookup (`/v1/linkedin/profile`): `author.followers` becomes the exact follower count and `author.ext.followers_approximate` reads false on every row the lookup filled, whether the row arrived with LinkedIn's rounded bucket or with no count at all, `author.following` is filled with the member's connection count (on LinkedIn a member's `following` is the number of connections), and the location, the joined date (`author.joined_at`), and the country, website, cover image and profile flags on `author.ext` land where the row lacks them. Cost: 10 credits for the list; include=profile holds 4 credits per row and keeps only the rows filled from a fresh lookup, so a call costs at most 50; rows already in cache are free and unfilled rows are refunded. Pass `limit` (1 to 10) to join only the top rows: `limit=3&include=profile` costs at most 22. Time: the lookups run in parallel, about 1 second for 10 rows, up to 3 on a slow second, and never more than 8 seconds. The response carries a `hydration` block itemising rows, lookups, cache hits, credits and milliseconds.

Last updated September 2026Maintained by the SocialCrawl team

Returns LinkedIn members matching a name or filters, each with handle, headline, location, follower count, profile URL, and member id.

Use it to build a prospect list by job title, company, school, or location; use company/people to list one employer's staff.

Searching 67 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
LinkedIn API

What can you do with the Search People API?

The Search People endpoint gives you structured LinkedIn data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

curl -H "x-api-key: YOUR_API_KEY" \
  "https://www.socialcrawl.dev/v1/linkedin/search/people?query=Bill+Gates&current_company=1035&past_company=1035&school=1792&industry=4&geocode_location=103644278&service_category=1&follower_of=ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/linkedin/search/people",
    params={
    'query': 'Bill Gates',
    'current_company': '1035',
    'past_company': '1035',
    'school': '1792',
    'industry': '4',
    'geocode_location': '103644278',
    'service_category': '1',
    'follower_of': 'ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()
const response = await fetch(
  "https://www.socialcrawl.dev/v1/linkedin/search/people?query=Bill+Gates&current_company=1035&past_company=1035&school=1792&industry=4&geocode_location=103644278&service_category=1&follower_of=ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters

ParameterRequiredDescription
queryYesName or display-name keyword to search for (e.g. 'Bill Gates').
pageNoPage number for pagination (default 1).
first_nameNoFilter by first name.
last_nameNoFilter by last name.
titleNoFilter by job title or headline.
current_companyNoFilter by current company, using a numeric company id from /v1/linkedin/company (`author.id`). Comma-separated for multiple.
past_companyNoFilter by a previously-worked company, using a numeric company id from /v1/linkedin/company (`author.id`).
schoolNoFilter by school, using a school id from /v1/linkedin/search/schools (`id`).
industryNoFilter by industry, using an industry id from /v1/linkedin/search/industry (`industry_id`).
geocode_locationNoFilter by location, using a geocode id from /v1/linkedin/search/location (`geocode`).
profile_languageNoFilter by profile language (ISO 2-letter code, e.g. 'en').
service_categoryNoFilter by service category, using a numeric service-category id. No endpoint resolves these, so pass one you already hold.
follower_ofNoReturn people who follow a specific member, using the member's URN from /v1/linkedin/profile (`author.ext.urn`). This one is a URN and not a numeric id.
includeNoSet to `profile` (one token only) to join every row to the member's profile lookup in this one call: `author.followers` becomes the exact count and `author.ext.followers_approximate` reads false on every row the lookup filled, `author.following` is filled with the member's connection count, and the location, joined date, country, website, cover image and profile flags land where the row lacks them. Holds 4 credits per row and keeps only the rows filled from a fresh lookup; rows already in cache and rows that could not be filled are refunded, so a call costs at most 50 (10 + 4 per row) and the usual bill is lower. Adds about 1 second for 10 rows, up to 3 on a slow second and never more than 8, and nothing when the members are already cached; read `data.hydration` for the rows, the credits held and kept, and the time. (profile)
limitNoTake the top N rows of this page (1 to 10). With `include=profile` it caps both the rows joined and the extra credits: `limit=3&include=profile` costs at most 22. The page cursor still advances past the full page of 10, so the rows past your limit are skipped, not carried to the next page. Without `include=profile` the call stays 10 credits.
Example Response

What does the LinkedIn Search People API return?

Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.

Example response
{
  "success": true,
  "platform": "tiktok",
  "endpoint": "/v1/tiktok/search/users",
  "data": {
    "items": [
      {
        "author": {
          "id": "6780262640079193090",
          "username": "cookingwithhel",
          "display_name": "Cooking with Hel",
          "avatar_url": "https://p19-common-sign.tiktokcdn-us.com/tos-alisg-avt-0068/e1547b843ed71ccc69e199147854f489~tplv-tiktokx-cropcenter-q:100:100:q70.heic?biz_tag=musically_user.user_cover&dr=8835&idc=useast8&ps=87d6e48a&refresh_token=7f24701a&s=SEARCH&sc=avatar&shcp=c1333099&shp=30310797&t=223449c4&x-expires=1783202400&x-signature=bLp06YEEM1DEDR6nG%2BZt3lhGWx4%3D",
          "bio": null,
          "verified": null,
          "followers": 4214875,
          "following": 1,
          "posts_count": 2341,
          "likes_count": 62731828,
          "url": null,
          "location": null
        }
      },
      {
        "author": {
          "id": "7352666564073833515",
          "username": "cooking_recipescr",
          "display_name": "cooking_recipescr",
          "avatar_url": "https://p19-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/7352667004160966699~tplv-tiktokx-cropcenter-q:100:100:q70.heic?biz_tag=musically_user.user_cover&dr=8835&idc=useast8&ps=87d6e48a&refresh_token=6df0f827&s=SEARCH&sc=avatar&shcp=c1333099&shp=30310797&t=223449c4&x-expires=1783202400&x-signature=ysLi7%2FLtH4t5ebZnGzJXSfgYhnU%3D",
          "bio": null,
          "verified": null,
          "followers": 1780390,
          "following": 1,
          "posts_count": 995,
          "likes_count": 10060260,
          "url": null,
          "location": null
        }
      },
      {
        "author": {
          "id": "6829580668634694662",
          "username": "felizcooking",
          "display_name": "Feliz Cooking",
          "avatar_url": "https://p16-common-sign.tiktokcdn-us.com/tos-maliva-avt-0068/179d2c1fe2dc5523974abdaf232e8554~tplv-tiktokx-cropcenter-q:100:100:q70.heic?biz_tag=musically_user.user_cover&dr=8835&idc=useast8&ps=87d6e48a&refresh_token=97c11cfd&s=SEARCH&sc=avatar&shcp=c1333099&shp=30310797&t=223449c4&x-expires=1783202400&x-signature=aCkp4jy6AxdG2R9otN52rtXzHNc%3D",
          "bio": null,
          "verified": null,
          "followers": 338243,
          "following": 374,
          "posts_count": 464,
          "likes_count": 2140124,
          "url": null,
          "location": null
        }
      }
    ],
    "next_cursor": "30",
    "total": 30,
    "dropped": 0
  },
  "credits_used": 1,
  "credits_remaining": 9999,
  "request_id": "req-8Kq2ZmR4vT9xLb3P",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoiMzAiLCJwIjoiY3Vyc29yIn0",
    "has_more": true,
    "page_size": 30
  }
}

Example captured from the TikTok API. Every SocialCrawl endpoint returns this same unified schema, so your LinkedIn Search People response has the same fields.

API Details

How does the LinkedIn Search People API work?

Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.

Method

GET

Response

JSON

Why SocialCrawl

Why use SocialCrawl for LinkedIn Search People data?

We handle the complexity of LinkedIn data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 67 platforms covering 10B+ monthly active users.

One schema, every platform

Query 67 platforms with identical response structures. Write your integration once.

Computed fields, not just scraped

When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.

See your data before you code

Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.

import requests

response = requests.get(
    'https://www.socialcrawl.dev/v1/tiktok/profile',
    params={'handle': 'charlidamelio'},
    headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 67 platforms
FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us
How do I search for LinkedIn people with an API?
Send a GET request to /v1/linkedin/search/people with a query keyword (a name or role). SocialCrawl returns a paginated list of people, each with handle, headline, location, follower count, and member URN. Add include=profile for exact counts, or page to walk deeper.
What B2B filters can I use to narrow the search?
Combine query with optional filters: title, current_company, past_company, school, industry, geocode_location, and profile_language. Stack them to build a precise prospecting list without a Sales Navigator seat.
What fields come back for each person?
Each result includes the public handle, headline, location, follower count, and member URN. Add include=profile and every row is joined to that member's profile in the same call, which fills the exact follower and connection counts plus location, joined date, country, website, cover image, and the creator, influencer, open to work, hiring, top voice and premium flags.
How do I get exact LinkedIn follower counts on a people search?
Pass include=profile. LinkedIn publishes a rounded bucket on a search row, so a member on 39,278 followers shows as 39,000 and some rows carry no count at all. The join returns the exact number on every row it fills, and author.following carries that member's connection count.
How much does LinkedIn people search cost?
A plain page costs 10 credits on the premium tier, regardless of how many people come back. With include=profile the page costs 10 credits plus four credits per row filled, never more than 50 credits. Cached rows are free, unfilled rows are refunded, and limit (1 to 10) caps both the rows and the credits. data.hydration explains the bill.
How do I paginate through people search results?
Add the page query parameter (integer) and increment it to fetch more results. Start at page 1 and continue until the response returns an empty list, which signals the end of the matches.
Can I use this for recruiting and prospecting?
Yes, sourcing and prospecting are the main use cases. Filter by title, current_company, and geocode_location to build a targeted candidate or lead list, then add include=profile to the same call rather than running a profile lookup per row.

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