Best LinkedIn Scraper APIs in 2026: How to Choose

The "best" LinkedIn scraper API depends heavily on what data you're after: public company and product pages are a very different risk category from personal profiles. This guide covers why LinkedIn has no general-purpose official API, what happened to the best-known profile-data API (Proxycurl), ranks the real third-party alternatives, and shows how to compare them on coverage and cost.

Why there's no general-purpose LinkedIn API

Unlike YouTube or Reddit, LinkedIn doesn't offer a broad public data API at all:

• Consumer/login APIs are free but nearly useless for data collection. LinkedIn's free tiers (Sign In with LinkedIn, Share on LinkedIn) cover authentication and posting — not reading company, job, or profile data at scale.
• The Marketing Developer Platform is partner-gated. Access to ad-management and analytics endpoints requires a formal application, legal-entity verification, and a review that LinkedIn itself doesn't put a timeline on — typically 4-8 weeks in the best case, 3-4 months on average, with pricing that isn't publicly listed.
• There is no API for reading company, product, or profile pages as a general developer. Everything outside the gated partner programs sits behind the normal LinkedIn website, which is exactly what third-party scraping APIs exist to fetch.

The precedent that matters: Proxycurl. Proxycurl was the best-known LinkedIn profile-data API — until LinkedIn sued it in January 2025, alleging it created hundreds of thousands of fake accounts to scrape millions of personal profiles at scale. The case settled with a permanent injunction, and Proxycurl shut down on July 4, 2025, after reportedly reaching roughly $10M in revenue. Its team has since moved on to an unrelated venture (NinjaPear); a separate product called Enrich Layer has positioned itself as a migration path for former Proxycurl users, but it's a different operator taking on the same personal-profile-scraping model that got its predecessor sued. That pattern — fake accounts and logged-in scraping of personal profiles at scale — is specifically what draws enforcement. Public, non-personal, company-level data is a materially different risk category.

What to evaluate

• Coverage: personal profiles vs. company/product pages only — these carry very different legal exposure under LinkedIn's terms and enforcement history.
• Output: normalized JSON vs. a raw scrape you parse yourself.
• Collection method: hosted API call vs. browser automation against your own logged-in LinkedIn account (which risks that account getting banned).
• Reliability from server IPs: does the vendor manage anti-bot and proxies, or is that on you?
• Pricing model: pay-per-result credits vs. a flat monthly seat/execution-time plan.
• Cost per successful result at your volume — not the headline rate.
• Compliance: public data only, and review LinkedIn's User Agreement and your own GDPR/CCPA obligations before touching personal data.

The best LinkedIn scraper APIs in 2026

1. Crawlora — company data only, by design

Crawlora's LinkedIn API returns public company, product, and showcase page data as normalized JSON — and deliberately does not offer personal-profile or Sales Navigator scraping:

curl -s "https://api.crawlora.net/api/v1/linkedin/company/1441" \
  -H "x-api-key: $CRAWLORA_API_KEY"

import os
import requests

resp = requests.get(
    "https://api.crawlora.net/api/v1/linkedin/company/1441",
    headers={"x-api-key": os.environ["CRAWLORA_API_KEY"]},
)
company = resp.json()["data"]
print(company["name"], company.get("industry"), company.get("company_size"))

The same key also fetches /linkedin/product/{id} and /linkedin/showcase/{id} — see the company endpoint docs for the full schema. When to choose it: you need public company-level B2B data (industry, size, HQ, affiliated pages) and want to stay firmly on the low-risk side of LinkedIn's enforcement line, ideally alongside other platforms (see how to scrape Reddit) in the same schema. The trade-off: if your use case genuinely requires personal-profile data, Crawlora isn't the tool — see the honest caveat in our own how to scrape LinkedIn guide before going further down that road.

2. Bright Data — enterprise scale, profiles included

Bright Data's LinkedIn Scraper API covers profiles, companies, jobs, and posts at $1.50 per 1,000 records pay-as-you-go (dropping to $1.30 per 1,000 on the $499/month Scale plan), with 5,000 free records a month. When to choose it: you're already running Bright Data's proxy infrastructure for other targets and need LinkedIn profile data at enterprise scale. When to look elsewhere: profile scraping is precisely the activity LinkedIn has litigated over (see Proxycurl above); factor that risk in before committing volume here.

3. Oxylabs — LinkedIn as one of many targets

Oxylabs' Web Scraper API lists LinkedIn among 190+ pre-built targets, from $49/month with results-based pricing around $1.30-1.60 per 1,000 results. When to choose it: LinkedIn is one of several sites you need scraped and you're already standardized on Oxylabs elsewhere. When to look elsewhere: it's a general-purpose scraper with LinkedIn as one target configuration, not a dedicated LinkedIn product.

4. Apify — cheap, but split across community Actors

Apify's LinkedIn coverage lives in independently maintained community Actors — a profile scraper, a separate company scraper, a separate jobs scraper — running roughly $3-10 per 1,000 results with no monthly commitment. When to choose it: you need a specific, narrow batch job and are comfortable vetting an individual Actor's maintainer and terms. When to look elsewhere: coverage, reliability, and support quality vary Actor-by-Actor since they're built by independent community developers, not Apify itself.

5. PhantomBuster — automation through your own account

PhantomBuster takes a different approach entirely: its "Phantoms" automate actions inside your own logged-in LinkedIn session rather than calling an API, priced by execution time ($69-439/month for 20-300 hours). When to choose it: you're already running LinkedIn outreach/sales automation and want scraping bundled into the same tool. When to look elsewhere: running automation against your own account risks that account getting flagged or banned — a different risk than an API call, and one PhantomBuster's own terms don't insulate you from.

6. ScrapIn — profile-plus-email, now under Reverse Contact

ScrapIn pairs LinkedIn profile and company data with email discovery, on credit-based plans starting around $49/month. The product recently changed hands — "Scrapin is now part of Reverse Contact," per its own site, with the same API and a new owner. When to choose it: lead-enrichment workflows that specifically need a profile-plus-verified-email combo. When to look elsewhere: it's a personal-profile data vendor in the same category LinkedIn has actively sued; verify current terms given the recent ownership change.

Pricing and cost per successful result

Headline rates across this category span roughly $1.30 to $10 per 1,000 results depending on data type, but the sticker price misses the real cost driver here:

• Coverage, not price, is the first filter. A cheap profile scraper is worthless if your compliance posture rules out personal-profile data entirely — check what a tool actually returns before comparing rates.
• Split-Actor tools multiply cost and vary in quality. Apify's profile, company, and jobs data live in separate community Actors billed and maintained separately.
• Session-based automation (PhantomBuster) prices differently. You're paying for execution time against your own account, not per-record — budget accordingly, and factor in account-ban risk as a real cost, not a footnote.
• Free tiers (Crawlora's 2,000 credits/month, Bright Data's 5,000 free records/month) let you test real company or profile lookups before committing.

Always compare on cost per successful, usable result at your volume, and weigh legal/compliance risk as part of that cost — see Best Web Scraping APIs in 2026 for the cross-category method.

How to choose in three questions

1. Do you actually need personal-profile data, or does public company/product data cover your use case?
2. If you do need profiles, have you reviewed LinkedIn's User Agreement and the Proxycurl precedent, and budgeted for the real enforcement risk?
3. Is LinkedIn your only source, or one of several platforms (Reddit, Instagram, TikTok) you'll want the same normalized schema for?

If you only need public company, product, or showcase data and want to stay on the low-risk side of LinkedIn's enforcement line, Crawlora fits; if you need personal-profile data at enterprise scale and accept the compliance exposure, Bright Data or Oxylabs; if you're already running outreach automation against your own account, PhantomBuster.

Public LinkedIn company data — no personal profiles

Normalized JSON for LinkedIn company, product, and showcase pages, with managed proxies and retries. 2,000 free credits a month, no card.

Try the PlaygroundLinkedIn Scraping API

Sources

Next steps

Read the how-to-scrape-LinkedIn guide for the full legal walkthrough, browse the API docs, test a company ID in the Playground, and check pricing. See also how to choose a web scraping API and is web scraping legal in 2026?.