Best proxies for scraping LinkedIn in 2026

LinkedIn is the hardest major platform to scrape. the company has invested heavily in anti-bot infrastructure, rotates challenges aggressively, and has fought data companies in court for years, most visibly in the hiQ Labs v. LinkedIn Corp. litigation (2017,2022). if you’re running sales intelligence pipelines, recruiting automation, or market research that pulls from LinkedIn, your proxy selection is probably the single biggest technical lever you control.

this list is for operators who already understand what LinkedIn scraping involves. people building lead-gen pipelines, HR tech startups pulling job listings, researchers aggregating public profile data. I’m not going to walk you through whether to scrape LinkedIn. read LinkedIn’s user agreement yourself and get appropriate legal advice for your specific situation. that is not legal advice from me. what I will do is tell you which proxy networks have held up in my own testing and in conversations with other operators running production workloads out of Singapore and the US.

I tested seven services between February and May 2026, running identical scripts against a set of LinkedIn public profile and search pages. I tracked success rate (HTTP 200 vs. blocked or CAPTCHA response), IP diversity, response latency, and how quickly banned IPs cycled out. I also weighed pricing structure, session handling flexibility, and support quality. LinkedIn also publishes a robots.txt that gives some signal about which paths they nominally allow crawlers to access, though bot detection operates well below that layer in practice.

How I picked

success rate on LinkedIn: I set a minimum threshold of 70% success on profile pages without additional anti-detect measures. below that is not viable for production use without extensive retry engineering.
IP pool size and residential quality: LinkedIn blocks datacenter ASNs reliably and broadly. pool size matters less than IP quality and ISP diversity. a smaller pool with clean residential IPs beats a large pool full of datacenter or flagged ranges.
rotation and sticky session behavior: sticky sessions with configurable duration matter for multi-step scraping. login flows, search pagination, and sequential profile visits need the same IP for at least a few minutes or LinkedIn triggers behavioral flags.
pricing model fit: per-GB vs. per-request vs. monthly flat pricing changes the math significantly depending on your volume. LinkedIn pages are HTML-heavy so bandwidth costs add up faster than on leaner targets.
documentation and API quality: I prioritized vendors with working self-serve dashboards, clean proxy APIs, and support that responds under 24 hours. enterprise tiers that require a sales call before you can test are a friction point I factor in.
IP sourcing transparency: I give preference to vendors that are explicit about how their residential pools are built. peer-to-peer sourcing with user consent is the current industry standard; vendors that are vague about this are a compliance and reputational risk.

The picks

1. Bright Data

Bright Data is the largest residential proxy network by pool size. as of mid-2026 they report over 72 million IPs, including a meaningful mobile proxy layer. for LinkedIn specifically, mobile IPs matter because LinkedIn’s blocklists target datacenter ranges and burned residential ranges. mobile IPs sit in a different ASN tier and tend to have longer effective lifespans.

in my testing, Bright Data’s rotating residential proxies hit a 78% success rate on profile pages with no additional anti-detect tooling. that climbed to roughly 85% with their “super proxy” configuration and proper sticky session handling at 10 minutes per session. their web unlocker product, which handles fingerprint rotation and retries internally, performed even better per successful request but at a higher unit cost. if you’re running a pipeline where engineering time exceeds infrastructure cost, web unlocker is worth pricing out seriously.

pro: largest IP pool in this list, with mobile proxies available, giving longer-lived IPs against LinkedIn’s blocklists
pro: granular geo and ISP targeting, useful when you need results tied to a specific market or region
pro: web unlocker product reduces retry logic engineering, mature control panel, and open-source proxy manager for self-hosted routing
con: expensive at entry level, approximately $15/GB for residential, with volume minimums that push smaller operators toward mid-tier options
con: feature depth means the platform can feel like overkill for pipelines under 50GB/month

Pricing: residential from approximately $15/GB, web unlocker from approximately $1.50 per 1,000 successful requests. see brightdata.com for current plans, pricing updates frequently.

2. Oxylabs

Oxylabs is the other enterprise-tier player. their residential pool is large, they claim around 100 million IPs, though I treat vendor pool-size claims with skepticism since methodology varies. pricing is roughly comparable to Bright Data. where Oxylabs earns its spot on this list is their scraper API products, specifically their real-time crawler which has LinkedIn-specific handling baked in. the header management and retry behavior is tuned for the platform, which saves meaningful setup time if you’re not starting from scratch.

in my testing, success rate on rotating residential was around 76 to 80% on profile pages. response times were marginally faster on North American endpoints compared to Bright Data in the same test window. the onboarding for higher tiers involves a sales call, fine for teams with procurement processes but annoying for solo operators. their self-serve tier does exist and is worth starting with.

pro: LinkedIn-specific scraper API with tuned header and retry handling reduces setup time
pro: strong uptime SLAs and dedicated account management for enterprise accounts
pro: real-time crawler handles JavaScript rendering natively, useful for LinkedIn’s dynamic profile pages
con: formal sales process for higher tiers, not fully self-serve from day one
con: pricing is comparable to Bright Data so there is no cost advantage if you’re comparing the two

Pricing: residential from approximately $15/GB. scraper APIs priced per request. see oxylabs.io for current rates.

3. Smartproxy

Smartproxy sits in a useful middle ground between enterprise tier and pure budget options. their residential pool covers major geos adequately for most LinkedIn use cases, the self-serve dashboard works without a sales call, and pricing is meaningfully lower than Bright Data or Oxylabs. in my testing I hit a 72% success rate on LinkedIn profile pages cold, which is borderline for production but workable if you layer in retry logic and respect LinkedIn’s behavioral patterns.

one note: they offer a residential lite tier that is cheaper per GB but draws from a smaller pool with less ISP diversity , for LinkedIn stick to their full residential product. they’ve added no-code scraping templates, but custom pipeline builders will use the proxy endpoints directly anyway.

pro: fully self-serve with no sales call required, trial credit available so you can test before committing
pro: sticky sessions up to 30 minutes, well-documented API, and an active community Discord for troubleshooting
pro: pricing is the best value in the “reliable production” tier, approximately $8.50/GB on the Business plan
con: success rate on LinkedIn is noticeably lower than Bright Data or Oxylabs in direct A/B testing
con: residential lite tier is not suitable for LinkedIn and can confuse operators who choose the wrong product

Pricing: residential from approximately $8.50/GB on the Business plan, approximately $12.50/GB on the Starter plan. smartproxy.com.

4. IPRoyal

IPRoyal is where I point operators who are cost-sensitive and running moderate volume. rotating residential proxies are priced around $7/GB, which is a real discount versus the enterprise options. the IP pool is smaller than Bright Data or Oxylabs, which shows up as repeat IP encounters when you’re scraping at high volume from a narrow geographic target. for global or mixed-geo LinkedIn scraping the pool size is less of a problem.

the control panel is functional. sticky sessions work reliably. I’ve run production pipelines here at up to ~50GB/month across varied regions without issues , above that, look at Smartproxy or an enterprise tier. one thing worth noting: IPRoyal has been transparent about their peer-to-peer IP sourcing model, which puts them in better standing than some competitors whose sourcing practices are not clearly disclosed.

pro: best price-per-GB in this list for residential proxies
pro: no large minimum commitment, pay-as-you-go works for sporadic or seasonal scraping jobs
pro: transparent about IP sourcing, which matters for operators who need to document their data pipeline practices
con: smaller pool means higher repeat-IP rate at volume, which increases block risk on aggressive crawling
con: support response times are slower than enterprise vendors, typically 12 to 24 hours rather than a few hours

Pricing: rotating residential from approximately $7/GB. iproyal.com.

5. SOAX

SOAX is a mid-tier option I initially underweighted. their differentiator is targeting granularity. you can filter by country, state, city, and mobile versus residential within the same plan, which is genuinely useful if your LinkedIn scraping targets a specific regional job market or industry cluster. the mobile proxy offering is the main reason SOAX earns a place on this list for LinkedIn specifically. mobile IPs have longer effective lifespans before LinkedIn’s systems flag them, and SOAX has one of the better mobile pools outside the enterprise tier.

in my testing SOAX hit 74% success on profile pages, comparable to Smartproxy. the control panel has improved over the past year and documentation is reasonably current. pricing is plan-based, which suits steady-state pipelines but is awkward for irregular jobs. they offer a trial worth taking before you commit.

pro: mobile proxies available and accessible at mid-tier pricing, longer-lived against LinkedIn detection
pro: city-level geo targeting is useful for scraping region-specific LinkedIn job listings or profile sets
pro: improving platform quality, active development visible across their changelog
con: plan-based pricing is less flexible for irregular or one-off jobs compared to true pay-as-you-go options
con: smaller community presence than Smartproxy or Bright Data means fewer third-party guides and troubleshooting threads

Pricing: plans from approximately $99/month for around 15GB residential. soax.com.

6. Proxy-Cheap

The name is accurate. Proxy-Cheap offers rotating residential proxies at prices that are hard to beat, around $5/GB depending on the plan tier. for operators who need to test infrastructure before committing budget, or who run infrequent LinkedIn jobs at low volume, this is a reasonable starting point. the self-serve sign-up is fast and there is no meaningful minimum commitment.

the tradeoff is performance , LinkedIn success rate was around 60 to 65%, below production-viable for a primary pipeline. if you’re stacking an anti-detect browser on top (standard for account-based LinkedIn scraping), the guide at antidetectreview.org/blog/ covers browser fingerprinting well and you can push that number higher. but Proxy-Cheap alone is not enough for serious LinkedIn scraping. treat it as a testing budget or a secondary fallback option.

pro: lowest price-per-GB in this list, useful for testing and prototyping before scaling
pro: no large minimum commitment, easy self-serve sign-up
con: success rate on LinkedIn is the lowest tested, 60 to 65%, not production-viable without additional tooling
con: pool quality and IP freshness is inconsistent at this price point

Pricing: rotating residential from approximately $5/GB. proxy-cheap.com.

7. Webshare

Webshare gets recommended frequently in scraping communities because of their generous free tier, but that free tier is datacenter proxies. for LinkedIn, datacenter IPs are blocked at the ASN level broadly. Webshare’s residential offering is the part worth considering, and it’s a reasonable option if you’re already using Webshare for other scraping targets and want to consolidate vendors rather than manage multiple accounts.

in my testing Webshare residential hit around 68% on LinkedIn profile pages, ahead of Proxy-Cheap but behind the mid-tier options. where Webshare earns genuine points is API and SDK quality , Python and Node integrations are well-maintained and the proxy API is clean to work with. for multi-platform scraping pipelines where LinkedIn is a secondary target, Webshare residential is a reasonable unified option that avoids adding another vendor relationship.

pro: clean API with well-maintained Python and Node SDKs, low integration friction
pro: free tier available for testing and for non-LinkedIn targets, useful for pipeline development
pro: affordable entry point with good documentation for self-serve setup
con: LinkedIn success rate is mediocre compared to most options on this list
con: the free tier that drives most Webshare recommendations is datacenter, which is useless for LinkedIn

Pricing: residential from approximately $5.99/GB. webshare.io.

Comparison table

Vendor	Price/GB (residential)	Primary strength	Primary weakness
Bright Data	~$15	Largest pool, web unlocker product	Expensive, overkill at low volume
Oxylabs	~$15	LinkedIn-specific scraper API	Sales-gated higher tiers
Smartproxy	~$8.50 to $12.50	Self-serve, best mid-tier value	Lower success rate than enterprise
IPRoyal	~$7	Best price-per-GB, pay-as-you-go	Smaller pool, slower support
SOAX	Plan-based (~$99/mo)	Mobile proxies, city-level targeting	Inflexible pricing for irregular use
Proxy-Cheap	~$5	Lowest price point	60-65% success rate, needs stacking
Webshare	~$5.99	API quality, SDK support	Mediocre LinkedIn performance

How to choose

the most common mistake is buying datacenter proxies for LinkedIn. LinkedIn has blocked effectively all datacenter IP ranges at the ASN level , if you’re seeing instant 403s or CAPTCHA walls from the first request, this is almost certainly the issue. residential proxies are the minimum viable option for LinkedIn, and mobile proxies are worth the premium if your pipeline involves extended sessions or account-based flows.

the second mistake is ignoring session management. LinkedIn’s detection is partly behavioral , it flags patterns that cycle IPs too aggressively between sequential requests, or that show IP geography jumping between pages in an unrealistic way. all of the vendors above support sticky sessions where the same exit IP is reused for a configurable window, typically 1 to 30 minutes. for scraping flows that involve search, pagination, and profile visits in sequence, I run sticky sessions of at least 10 minutes. pure rotate-per-request setups will get flagged on anything beyond the most basic single-page pulls.

if you’re running multi-account LinkedIn operations rather than purely headless scraping against public pages, the proxy choice intersects with browser fingerprinting and account warm-up behavior. a residential IP paired with a datacenter-fingerprinted browser still fails. for those kinds of setups, the multiaccountops.com/blog/ has practical material on account warm-up sequencing and fingerprint consistency. the proxy is one layer of a stack, not the entire stack.

on budget: under 20GB/month where reliability matters, start with Smartproxy or IPRoyal. at 50GB or more per month with LinkedIn as a primary data source, Bright Data or Oxylabs are worth the premium. for testing or occasional jobs, IPRoyal pay-as-you-go is the clearest choice. see the /blog/ for more context on other scraping use cases that may affect which tier makes sense for your workload.

Verdict / top pick

for most production LinkedIn scraping pipelines, Bright Data is the top pick despite the cost. the 6 to 8 percentage point success rate advantage over mid-tier options compounds significantly at volume, and the web unlocker product meaningfully reduces the engineering overhead of retry logic and header management. if cost is a constraint, Smartproxy is the best self-serve alternative with no minimum commitment friction. IPRoyal is the right call for cost-sensitive pipelines that can tolerate higher retry rates and are running under 50GB/month.

the thing worth repeating: no proxy service alone solves LinkedIn scraping. you need proper header management, realistic request cadence, and session handling that does not look like a machine cycling through profiles at impossible speed. LinkedIn’s detection is layered and has been hardening for years. the proxy is the variable that fails most visibly when it’s wrong, so it’s the right place to start. but it’s a floor, not a ceiling.

for deeper dives on individual services, see our full reviews of Bright Data, Oxylabs, and Smartproxy.

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 2026-05-19.