How to Scrape LinkedIn in 2026 (Legally): Company Data via API

The safest way to get LinkedIn data in 2026 is to collect public company, product, and showcase pages through a structured API — and to stay away from personal profiles and anything behind a login. LinkedIn is one of the most aggressively defended sites on the web and its terms prohibit automated access, so the legal and practical bar is higher than for most sources. This guide covers what is realistic to collect, where the legal lines are, and how to do it with a documented API.

Start with the legal reality

LinkedIn scraping is legally sensitive, so lead with the constraints:

• hiQ v. LinkedIn: US courts held that scraping public data is not a Computer Fraud and Abuse Act violation — but the litigation was long and costly, and LinkedIn's terms still prohibit automated access. Public access is not the same as permission.
• Enforcement is escalating. LinkedIn actively sues scrapers now: Proxycurl, a popular profile-data API, shut down in 2026 after LinkedIn alleged it created hundreds of thousands of fake accounts to scrape profiles at scale. The pattern that draws lawsuits is exactly that — fake accounts and logged-in scraping of personal profiles.
• Personal data is high-risk. Profiles contain personal data governed by GDPR and CCPA; collecting it invites privacy claims. Avoid it.
• Terms and account bans. Logged-in or rate-abusing scraping gets accounts banned and can draw cease-and-desist letters.

Rule of thumb: stick to public, non-personal, company-level data, respect rate limits, and review LinkedIn's terms and your own compliance obligations. This is not legal advice.

What Crawlora's LinkedIn API covers

Crawlora's LinkedIn API is deliberately scoped to public company-level pages, not personal profiles:

• Company pages — see /docs/linkedin/linkedin-company
• Product pages
• Showcase pages

That scoping is intentional: company, product, and showcase data is lower-risk public business information — useful for B2B enrichment without touching personal profiles. If you came here for personal profiles, connections, followers, or Sales Navigator data, that is the login-gated, personal-data zone now being actively enforced (see Proxycurl above) — this guide deliberately does not cover it.

Example: fetch a public company page

curl https://api.crawlora.net/api/v1/linkedin/company/COMPANY_ID \
  -H "x-api-key: $CRAWLORA_API_KEY"

The same call in Python:

import requests

resp = requests.get(
    "https://api.crawlora.net/api/v1/linkedin/company/COMPANY_ID",
    headers={"x-api-key": "YOUR_API_KEY"},
)
company = resp.json()["data"]
print(company.get("name"), company.get("industry"))

The response is normalized JSON (fields shown are illustrative — check the docs for the current schema):

{
  "code": 200,
  "msg": "OK",
  "data": {
    "name": "Example Co",
    "industry": "Software",
    "website": "https://example.com",
    "employee_range": "201-500",
    "headquarters": "Austin, TX"
  }
}

Product, showcase, and what you can collect

Beyond company pages, the same key fetches public product and showcase pages by id:

h = {"x-api-key": "YOUR_API_KEY"}
base = "https://api.crawlora.net/api/v1/linkedin"

product = requests.get(f"{base}/product/PRODUCT_ID", headers=h).json()["data"]
showcase = requests.get(f"{base}/showcase/SHOWCASE_ID", headers=h).json()["data"]

Where the public page exposes them, you get:

• Company — name, link, logo, industry, website, employee/size range, headquarters, and description.
• Product — product name, link, category, and the associated company.
• Showcase — showcase name, link, logo, and parent company.

What you do not get — by design — is personal profiles, connections, followers, job postings, or Sales Navigator data: that is the login-gated, personal-data zone this guide steers away from.

Why DIY LinkedIn scraping is painful

• Aggressive anti-bot — fingerprinting, behavioral detection, and rate-based bans.
• Login walls — most profile data sits behind authentication, and collecting it crosses both terms and privacy lines.
• Account risk — bans and cease-and-desist letters are real outcomes.

A structured company-data API sidesteps the riskiest parts by scoping to public company pages and handling fetching behind the endpoint — but you remain responsible for lawful, compliant use.

Sources

Where this fits

Public company data powers B2B workflows — see the lead generation use case for building local and B2B lead lists from public business and company data (a data layer you collect and enrich, not a contact database).

Start collecting

Try it first, free: run any public URL through the Free Web Scraper, or check whether a site blocks bots with the Anti-Bot Checker — no signup.

Test the company endpoint in the Playground, check the schema in the API docs, and review credit costs on pricing. For a full comparison against other LinkedIn data APIs, see best LinkedIn scraper APIs in 2026. For the bigger picture, see how to choose a web scraping API, how to scrape Google Maps, how to scrape Reddit, and how to scrape Twitter/X; for the legal lines on personal data, read is web scraping legal in 2026?.