LinkedIn: scrapers and the official API, compared

Route map

Each line is one way to get LinkedIn data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Which route for which job

The catalogue Actors for LinkedIn return different records. "Only this route" lists the published fields no other Actor in this table returns, which is usually what decides the choice. Cost is the published per-result rate; start events and platform usage are extra.

Field matrix: who returns what

Every tool with a published output schema, against the 8 fields most LinkedIn jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every LinkedIn Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 27 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Teams use LinkedIn data to research professional backgrounds, enrich employer records and follow company activity. Profile enrichment, employee discovery and post monitoring need different collection routes.

Choose profile tools for credentials and current roles, people search for finding matching profiles, and feed tools for published activity. Approved partner APIs suit integrations that fit their defined scopes.

Checklist

• Confirm the collection route. Finding people by name and employer differs from enriching known profile URLs or collecting their posts.
• Plan field mapping explicitly: profileUrl differs from url, and feed tools publish postedAt rather than posted_at.

Where the data is incomplete

The leading profile tool lists certifications, skills and recommendations, but its field descriptions do not explain their structure or conditions of availability.

Entity labels can be broader than the listed fields. A tool marked for company or post data may publish mainly profile attributes, so check for dedicated company records or post content before relying on that label.

Official API route

Terms and personal data

LinkedIn prohibits unauthorized automated collection and applies approval, scope and contractual limits to partner access. Use public business data through approved access only. This is general information, not legal advice.

Read LinkedIn's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Open LinkedIn Profile, Certifications & Company Data Extractor and follow its input instructions for a small selection of public profiles you are authorized to collect.
2. Start the collection and inspect name, profileUrl, currentTitle and currentCompany to confirm that the records match the intended people.
3. Save the dataset with inputUrl and scrapedAt, then review missing credentials and employer values before expanding the collection.

Call LinkedIn Company Headcount & Team Directory Scraper from code

The example input uses the Actor's published defaults; set your own LinkedIn query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "companyUrls": [],
    "companyDomains": [
        "stripe.com"
    ],
    "companyNames": [],
    "includeEmployees": False,
    "maxEmployees": 100,
    "maxItemsTotal": 1,
    "startPage": 1,
    "seniorityLevels": [],
    "functions": []
}

run = client.actor("nimbryxo-studio/linkedin-company-headcount-and-team-directory").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "companyUrls": [],
    "companyDomains": [
        "stripe.com"
    ],
    "companyNames": [],
    "includeEmployees": false,
    "maxEmployees": 100,
    "maxItemsTotal": 1,
    "startPage": 1,
    "seniorityLevels": [],
    "functions": []
};

const run = await client.actor("nimbryxo-studio/linkedin-company-headcount-and-team-directory").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~linkedin-company-headcount-and-team-directory/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"companyUrls":[],"companyDomains":["stripe.com"],"companyNames":[],"includeEmployees":false,"maxEmployees":100,"maxItemsTotal":1,"startPage":1,"seniorityLevels":[],"functions":[]}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/linkedin-company-headcount-and-team-directory",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on LinkedIn

• Ranked listBest LinkedIn scrapers in November 2026
• Error fixHTTP 999 from LinkedIn: what the non-standard status means
• Error fixLinkedIn authwall: why profile requests redirect to login
• AlternativesProxycurl alternatives: what replaced a shut-down LinkedIn data API
• Topic groupJobs and hiring data: every website compared
• ToolWhich LinkedIn route fits your job?
• ToolLinkedIn cost by Apify plan, rows and runs

Related websites

• LinkedIn Jobs1 Actor
• LinkedIn Ad Library1 Actor
• X (Twitter)12 Actors

Sources

• LinkedIn People Search by Name with Company & School Filters on Apify Store
• LinkedIn Guest-View Profile Data Extractor on Apify Store
• LinkedIn Trending Posts & Top Voices Feed Scraper on Apify Store
• LinkedIn University Alumni Search by Degree & Year on Apify Store
• B2B Lead Discovery by Job Title & Location on Apify Store
• LinkedIn Company Page Post & Engagement Extractor on Apify Store
• LinkedIn APIs (partner programs) documentation
• LinkedIn terms