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LinkedIn automation tools ship in two deployment models. Cloud-based tools run on a remote server and execute actions through a hosted browser session, which continues working when the user's own computer is off. Chrome-extension tools run inside the user's browser and act only while that browser is open and logged in to LinkedIn. The two models differ on three mechanical attributes: where the LinkedIn session is stored, which IP address activity originates from, and what the tool costs to keep running day to day. Pricing splits along similar lines — free tiers typically cap daily actions and withhold features that require server-side processing, while paid plans unlock volume, multiple accounts, and CRM connections.
Deployment model describes where a piece of software physically runs, not what it does. Two tools can offer an identical feature list — connection requests, message sequences, profile visits, and reply detection — and still differ completely on this axis.
The first half of the axis is session location. LinkedIn identifies a logged-in account through a session stored in a browser. In a hosted setup, that session lives in a browser running on a vendor's infrastructure, and the vendor holds the credential or cookie that created it. In a local setup, the session stays in the browser on your own computer and the tool reads it where it already sits.
The second half is the execution trigger. A hosted tool fires from a server-side scheduler that runs whether or not anyone is at a desk. A local tool fires from an open browser tab and stops when that tab closes.
A hosted tool reconstructs your LinkedIn session inside a browser the vendor operates. You authenticate once, the vendor stores what it needs to keep that session alive, and a scheduler on their side runs the sequence. Your machine is not involved after setup — which is the point of the model, and the source of both attributes below.
The hosted browser needs a valid session to act as you, so the vendor holds either your login credentials or the cookie representing an authenticated session, stored persistently because the sequence has to survive overnight. The practical consequence: you have handed LinkedIn account access to a third party, and there is no revoke button — ending it means changing your password, which invalidates every session you have.
The hosted browser connects from the vendor's infrastructure, not your office or home network. Vendors typically route each account through a dedicated or residential proxy to keep that origin consistent, usually as a paid add-on rather than part of the base plan. The practical consequence: LinkedIn records logins from a city you have never worked from, arriving on a schedule no person keeps.
A LinkedIn automation Chrome extension is easier to reason about, because nothing moves off the machine you already use. The extension injects itself into the LinkedIn tab, reads the session you are already logged in to, and drives the interface the same way a click would. There is no credential handoff and no separate authentication step, because there is no second browser anywhere.
Execution is bound to a live tab. Sleep, restart, a closed lid, or a browser crash halts the sequence at whatever step it had reached, and nothing resumes until the tab is open again. The practical consequence: a campaign scheduled to run overnight stops when you shut the laptop, and you find out the next morning when the send counts do not match the plan.
Every request originates from the network and device you already use for LinkedIn, so there is no new login location to explain and no proxy to buy. The practical consequence: the traffic pattern matches your existing usage, but throughput is capped by the hours your machine is powered on and logged in.
The two models are not tiers of the same product. Cloud buys unattended runtime at the cost of handing over session control, and the extension model buys session control at the cost of needing a machine that stays on.
Free tiers are a functional test environment, not a smaller version of the paid product. What they gate is broadly consistent across the category: a daily action ceiling, one connected LinkedIn account, no CRM integration, no team seats, and no support commitment. Some include a built-in CRM instead of an integration to someone else's, which removes the export step rather than gating it.
Each of those is an operational limit rather than a commercial one. A daily action cap means a sequence that should complete in a week completes in a month, which changes what you learn from it — reply rates measured across a stretched send window are not comparable to reply rates from a normal cadence. A single-account limit rules out any agency workflow by definition. Where there is no CRM at all, a person exports and re-imports, and that person becomes the integration.
The honest read: a free tier is enough to test message copy, sequence structure, and whether the tool fits how a team already works — on your own account, with no clock running. Sustained volume is what the paid tier sells. On a capped free plan the ceiling does two jobs: it limits what you can run, and it limits what LinkedIn sees. What each tier includes is set out on Meet Drake pricing.
LinkedIn's position does not distinguish between them. LinkedIn's User Agreement prohibits using bots or other automated means to access the service, add contacts, or send messages, and separately prohibits browser plug-ins and extensions that scrape or automate activity on the site. Neither deployment model sits outside that language.
What differs between the models is not permission but the signals each one produces. Observed enforcement correlates with behavioral inputs — how many actions run per day, how regularly they are spaced, and whether an account's login location changes abruptly. Those are properties of configuration and usage, not of the architecture label a vendor puts on its product.
Caps are the lever a buyer actually controls. Meet Drake's free plan is fixed at 15 actions a day — five connection requests, five messages, five auto likes or shares — against the 25 a day its help center recommends for accounts without Premium or Sales Navigator. Plus makes per-action delays and daily caps configurable. Neither model and neither plan removes the risk: LinkedIn's User Agreement restricts automated activity regardless of where the software runs. Meet Drake's full safety position is set out on LinkedIn automation safety.
These do not average into a verdict. Where one is a hard constraint, it settles the question and the other four are commentary. With the model settled, named products are compared on alternatives to paid LinkedIn automation tools.
Subscription price is one of two cost lines, and the market usually quotes only the first.
Price both lines before comparing plans. Meet Drake plan tiers set the first; your uptime and account count set the second.
Meet Drake is distributed as a Chrome extension, so it runs in the browser on your own machine and works from the LinkedIn session already loaded there. That suits one operator running one account across a normal working day. It also means the browser has to stay open for a sequence to advance, which is the constraint to weigh if your outreach needs to run overnight. Both plans run on the same extension: the free plan runs one campaign a month at five connection requests and five messages a day on a built-in CRM and inbox, and Plus removes the ceiling.
Cloud-based LinkedIn automation is outreach software that runs on a vendor's remote server instead of a user's computer. The vendor hosts a browser session for the connected LinkedIn account and executes connection requests, messages, and follow-ups on a schedule, which continues whether or not the user's own machine is switched on.
A Chrome extension runs inside the browser on a person's own computer and acts only while that browser is open and logged in. A cloud tool runs on a vendor's server using a hosted session, so it keeps executing when the computer is off. Feature lists often overlap; execution location does not.
Only when the tool runs on a remote server. Server-hosted tools execute from a vendor's own infrastructure on a schedule and continue while a computer is off. Browser-resident tools depend on an open, logged-in browser window, so closing a laptop or letting it sleep halts the sequence mid-step.
Free tiers are useful for testing message copy, sequence timing, and whether a workflow suits a team at all. They typically cap daily actions, allow one connected account, and exclude team seats and support commitments, so sustained volume is what a paid tier sells. Some include a built-in CRM rather than withholding outreach altogether.
LinkedIn's User Agreement prohibits bots and other automated means of accessing the service, adding contacts, or sending messages, and prohibits browser plug-ins and extensions that automate activity on the site. Enforcement is behavioral: LinkedIn acts on activity patterns — volume, timing, acceptance rates — not on the presence of a tool. Accounts producing them risk restriction.
Deployment model decides what the tool can do while you are not watching, and what you give up for that. Work out which of the five criteria is your hard constraint, then pick. Run your first campaign free — no card required. Install Meet Drake for Chrome
Author: Gustavo Parra is Senior SEO, Growth & Analytics Lead at Meet Drake. Last reviewed 9 September 2026. He focuses on turning real platform data and firsthand product experience into practical, compliance-first guidance.
Disclaimer: This guide is provided for educational purposes only and does not constitute legal, compliance, or professional sales advice. LinkedIn automation results vary based on your offer, audience, messaging, and execution. When using LinkedIn and any third-party tools, you are responsible for complying with LinkedIn's User Agreement, platform policies, and applicable laws, including privacy and anti-spam regulations. Meet Drake supports ethical, relationship-first outreach and encourages users to prioritize relevance, consent, and respectful communication. References to third-party products, metrics, or studies are informational and do not imply endorsement or guarantee specific outcomes.
