Best proxies for scraping LinkedIn in 2026

If you’re building a sourcing pipeline, a sales intelligence tool, or a research dataset off public LinkedIn pages, you already know the platform is one of the harder scraping targets on the internet. This list is for people doing that work at some volume, recruiters pulling profile data for candidate sourcing, growth teams scraping company pages for lead enrichment, and data engineers who need a proxy layer that survives more than a few hundred requests before getting flagged.

LinkedIn’s User Agreement explicitly bars using “bots or other automated methods” to access the site, and its robots.txt disallows crawling almost everything outside a handful of public paths. This isn’t a gray area LinkedIn ignores either. The company sued analytics firm hiQ Labs over scraping its public profiles, and that fight went all the way to the Ninth Circuit and back down after a Supreme Court remand, a case the EFF has tracked in detail because it touches on how far the Computer Fraud and Abuse Act reaches into scraping public data. Separately, the DOJ’s 2022 charging policy update narrowed when it will pursue CFAA cases for scraping public-facing data, but that’s prosecutorial guidance, not a green light, and it says nothing about LinkedIn’s own contractual right to terminate your account or pursue civil claims under its terms. None of this is legal advice, and if you’re scraping at scale for a company, talk to a lawyer about your specific use case before you build on top of any of this.

What I can speak to is the operator side: which proxy providers actually hold up against LinkedIn’s bot detection long enough to be useful, and which ones burn through IPs and leave you staring at “unusual activity” checkpoints. I ranked these based on hands-on use scraping public profile and company pages over the past several months, not vendor marketing copy.

how I picked

IP type and trust score: LinkedIn fingerprints datacenter ASNs almost immediately, so residential and mobile IPs are close to mandatory here, not a nice-to-have.
Session stickiness: LinkedIn’s flows (search results, then a profile page, then maybe an activity tab) need the same IP held for several minutes without rotating mid-sequence, otherwise you trip re-verification.
Geographic and ASN diversity: a pool concentrated in a handful of ISPs looks unnatural next to LinkedIn’s genuinely global user base.
Price per GB and minimum spend: LinkedIn scraping is usually high-request, low-payload (HTML and JSON, not media), so GB pricing matters less than session and request limits, but it still sets your floor cost.
Compliance and abuse posture: given LinkedIn’s litigation history, I favored vendors with clear KYC and abuse policies over anonymous, no-questions-asked pools.
Support responsiveness: when your block rate spikes overnight, how fast you get a human matters more than the marketing page.

the picks

Bright Data

Bright Data has the largest verified residential pool of anyone on this list and it shows in how long sessions survive on LinkedIn before a checkpoint interrupts them. It also sells a prebuilt LinkedIn dataset and scraper API product, so if you don’t want to maintain your own scraping logic, you can pull structured profile or company data directly instead of parsing HTML yourself. Sticky sessions run up to 30 minutes, which is enough to walk through a search result page and open several profiles without re-authenticating your proxy identity.

The tradeoff is cost and complexity. This is the most expensive option here, and the dashboard has enough configuration surface (zones, session types, targeting rules) that it takes a real onboarding session to use well. I’d point smaller teams elsewhere and save Bright Data for when you’re scraping at real scale.

Largest verified residential and mobile IP pool in this list
Dedicated LinkedIn dataset and scraper API, skip building your own parser
Long sticky sessions (up to 30 min) suited to multi-page profile crawls
Priciest option here, and minimum spend adds up fast for small teams
Dashboard has a real learning curve

Pricing: pay-as-you-go residential starts around $8.40/GB, dropping to roughly $5/GB on higher committed plans. brightdata.com

Oxylabs

Oxylabs runs a close second to Bright Data on pool size and reliability, and its LinkedIn Scraper API is the most turnkey option in this list: you send a profile or search URL, it handles proxy rotation, retries, and parsing, and hands you structured JSON back. For teams that don’t want to own proxy rotation logic at all, this is the fastest path to working code. I’ve had good uptime with it across sustained runs, and their published SLA backs that up.

The catch is that entry-level access typically requires a monthly plan commitment rather than true pay-as-you-go at small volumes, and support responsiveness drops noticeably if you’re on a lower tier. Read our full writeup at /reviews/oxylabs if you’re weighing it against Bright Data specifically.

Dedicated LinkedIn Scraper API handles rotation and parsing for you
Strong published uptime SLA (99.9%)
Solid documentation and code samples for common scraping frameworks
Entry tiers require a monthly commitment, no small-volume pay-as-you-go
Support quality drops on lower-tier plans

Pricing: residential proxies from around $8/GB pay-as-you-go, or subscription plans starting near $99/month for smaller allocations. oxylabs.io

Decodo (formerly Smartproxy)

Decodo, the rebrand Smartproxy completed in 2024, is the best price-to-quality pick on this list for mid-volume LinkedIn scraping. Concurrent sessions are unlimited on paid plans, which matters if you’re running several scraping workers in parallel against different LinkedIn search queries at once. The self-serve dashboard is genuinely simple, no enterprise sales call required to get started, which is rare at this quality tier.

Where it falls short is pool depth outside major markets. If your scraping targets are concentrated in the US, UK, or Western Europe you won’t notice, but coverage thins out fast in smaller APAC or Latin American markets. See /reviews/decodo-smartproxy for the longer breakdown.

Best price-to-quality ratio in this list for mid-volume use
Unlimited concurrent sessions on paid plans
Simple self-serve setup, no sales call needed
Smaller IP pool than Bright Data or Oxylabs, thinner in non-major markets

Pricing: residential proxies from around $7/GB pay-as-you-go, entry plans near $50 for 8GB (about $6.25/GB). decodo.com

NetNut

NetNut’s residential IPs route directly through ISP infrastructure rather than through a peer-to-peer network of consumer devices, which means lower latency and fewer dropped connections mid-session. For LinkedIn specifically, where timing patterns feed into bot detection, that stability is worth something. Their static residential option holds the same IP identity across an entire scraping session, which fits well with LinkedIn’s multi-step profile and search flows.

Coverage skews heavily US and EU, so if a meaningful chunk of your targets are in APAC or emerging markets, you’ll want a secondary provider to fill gaps. Entry pricing is also steep relative to the pool size you get at the bottom tier.

Direct ISP-level residential IPs mean lower latency and fewer dropped sessions
Static residential option keeps one identity across a full scraping session
Genuinely stable uptime under sustained load
Coverage skews US/EU, thinner in APAC and other regions
Entry pricing is steep for small-scale users

Pricing: plans start around $300/month for an entry static residential allocation, working out to roughly $20/GB at that tier. netnut.io

SOAX

SOAX’s standout feature is targeting granularity, you can filter by city, ISP, and even connection type in a way most competitors don’t expose. For scraping LinkedIn searches where you need geographic realism (matching proxy location to the region you’re claiming to search from), that level of control is genuinely useful. They also offer short-term weekly plans, which is handy if you’re running a one-off scrape rather than an ongoing pipeline.

The pool is smaller than the big three above it on this list, and per-GB cost climbs quickly once you’re off the largest plans. Live chat support has been responsive when I’ve used it, which offsets some of that.

City and ISP-level targeting granularity beyond most competitors
Flexible short-term (weekly) plans for one-off scraping jobs
Responsive live chat support
Smaller overall IP pool than the top three providers here
GB cost rises fast on lower-tier plans

Pricing: starter plans begin around $99/month for smaller allocations, working out to roughly $15-20/GB before volume discounts kick in. soax.com

IPRoyal

IPRoyal is the budget pick that still holds up. It’s the cheapest reliable residential option in this list, sold pay-as-you-go with no expiry on purchased traffic, so you’re not losing unused GB at the end of a billing cycle. For light to moderate LinkedIn sourcing, a few hundred profile pulls a week, it’s more than adequate and the cost difference versus the enterprise vendors is significant.

What you give up is advanced session and targeting controls, and support turnaround is slower than what Bright Data or Oxylabs offer. Fine for solo operators and small teams, less fine if you need guaranteed response times.

Cheapest reliable residential pricing in this list
Pay-as-you-go with no traffic expiry
Adequate for light to moderate LinkedIn sourcing volume
Fewer advanced targeting and session controls
Slower support turnaround than enterprise-tier vendors

Pricing: residential proxies from around $1.75/GB pay-as-you-go. iproyal.com

Webshare

Webshare’s reputation is built on cheap datacenter proxies, and I want to be direct about this: don’t use their datacenter pool for LinkedIn. Datacenter ASNs get flagged there almost immediately. What makes Webshare worth including is their residential add-on, which is still among the cheapest in this category and includes a free tier (10 proxies) that’s genuinely useful for testing your scraper logic before you spend anything.

The catch is exactly what I said above, the low headline pricing you’ll see marketed is for datacenter IPs that won’t work here, so budget for the residential tier specifically, which costs more than their advertised entry price.

Cheapest entry point overall, including a usable free tier for testing
Simple, well-documented API
Pay-as-you-go residential add-on available
Their cheap headline pricing is for datacenter proxies, which don’t work on LinkedIn
Residential pool is smaller than dedicated residential-first vendors

Pricing: free tier available for testing; residential add-on runs roughly $3.50-7/GB depending on volume. webshare.io

comparison table

Vendor	Price	Primary strength	Primary weakness
Bright Data	~$8.40/GB, down to ~$5/GB at volume	Largest pool, dedicated LinkedIn dataset/API	Most expensive, steep learning curve
Oxylabs	~$8/GB, or plans from ~$99/mo	Turnkey LinkedIn Scraper API	Entry tiers require a monthly commitment
Decodo	~$7/GB, plans from ~$50/8GB	Best price-to-quality, unlimited sessions	Thinner coverage outside major markets
NetNut	~$20/GB, plans from ~$300/mo	ISP-level stability, static IP sessions	Weak APAC coverage, steep entry cost
SOAX	~$15-20/GB entry, plans from ~$99/mo	City/ISP-level targeting granularity	Smaller pool, cost climbs on low tiers
IPRoyal	~$1.75/GB pay-as-you-go	Cheapest reliable residential option	Limited targeting and session controls
Webshare	Free tier; ~$3.50-7/GB residential	Cheapest entry point, free testing tier	Headline pricing is for datacenter, not residential

how to choose

Start with volume, not brand names. If you’re pulling a few hundred profiles a week for candidate sourcing, IPRoyal or Webshare’s residential tier will cover it at a fraction of what Bright Data or Oxylabs cost, and the reliability difference at that scale is marginal. Once you’re running continuous pipelines pulling thousands of profiles a day across multiple search queries, the larger pools and session controls on Bright Data, Oxylabs, or Decodo start paying for themselves in reduced block rates and less time spent babysitting the scraper.

Session length matters more than most people budgeting for LinkedIn scraping realize. A single profile scrape usually involves a search results page, then a click into a profile, sometimes a second click into an activity or connections tab. If your proxy rotates mid-sequence, LinkedIn sees a request pattern that doesn’t match a real browsing session and you get a checkpoint. Providers with sticky sessions of 10+ minutes, Bright Data, NetNut’s static option, and Decodo, handle this better than providers optimized purely for cheap rotating IPs.

Budget model is the other axis. Per-GB pricing (Bright Data, Oxylabs, Decodo, NetNut, SOAX) makes sense when your payloads vary, but LinkedIn scraping is mostly small HTML or JSON responses, so a request-based or flat-rate model like IPRoyal’s can end up cheaper for the same scraping volume. Do the math on your actual expected request count before committing to a GB-based plan, since the headline per-GB price can be misleading for this specific use case.

If your scraping work sits alongside running multiple LinkedIn accounts, sourcing plus outreach, for example, proxies alone won’t keep those accounts distinct. You’ll also need consistent browser fingerprints per account, which is a separate tool category. Our sister site has a good rundown of that side of the stack at antidetectreview.org/blog if that’s part of your setup. And again, none of this changes what LinkedIn’s terms say about automated access, so weigh the compliance risk against your actual use case before scaling this up.

verdict / top pick

For most teams doing sustained LinkedIn scraping, I’d put Oxylabs at the top. The dedicated LinkedIn Scraper API removes the need to maintain your own rotation and parsing logic, the uptime has been consistent in my testing, and the pricing, while not cheap, is more predictable than Bright Data’s more granular zone-based system. If your volume is smaller and budget matters more than turnkey tooling, Decodo is the better call, it’s the best price-to-quality option here and simple enough to set up in an afternoon.

If you’re just testing whether LinkedIn scraping is worth building into your workflow at all before spending real money, start with Webshare’s free tier or IPRoyal’s pay-as-you-go pricing, prove out your scraper logic cheaply, then move up to Oxylabs or Decodo once you know your actual volume. For more on proxy fundamentals and how these categories differ, our blog index has the deeper technical breakdowns.

Written by Xavier Fok

disclosure: this article may contain affiliate links. if you buy through them we may earn a commission at no extra cost to you. verdicts are independent of payouts. last reviewed by Xavier Fok on 2026-07-13.