Website automation is software that does a person’s work on a website, often where no API exists for the job. It logs in, clicks, fills forms, and reads results through the site’s interface.
A script that signs in on your laptop can fail on a server. The site sees a new device and may ask for a verification code. In our test, Google’s sign-in page went further and rejected an automated browser before any password was typed.
This guide shows you how to keep accounts signed in, isolate them from each other, and notice warning signs before a ban.
TL;DR
- A restart can sign you out. A relaunched Playwright persistent context lost the site’s session cookie, and a storage state file lacked sessionStorage.
- Each account should have its own device fingerprint and IP. On one laptop, 2 profiles and an incognito browser context got the same fingerprint ID on 2 test sites.
- Your automation library can get you flagged. On Chrome, a bot-detection check flagged unmodified Playwright, while its fork Patchright passed.
- Owning an account doesn’t by itself allow UI automation. X bans “scripting the X website”, and LinkedIn bans “unauthorized automated methods”.
Website automation at a glance
The technical answers below follow from one idea. To a site, each account is a returning device, not just a saved cookie:
| Question | Short answer |
| What is website automation? | Software that logs in, clicks, fills forms, and reads results through a site’s interface |
| API or browser? | Usually the API when it can do the job, and always where the platform requires it. The browser for the rest |
| What can a site check when a user returns? | Whether the device, network, and saved cookies agree with each other and match the account’s history |
| What should each account have? | Its own profile, holding cookies, site data, device fingerprint, and a sticky IP in its usual region |
| Which automation library should control the browser? | One that doesn’t enable the CDP Runtime domain (a debugging feature that some bot-detection tests check for), such as Patchright |
| How fast should actions run? | Random pauses between actions, within the account’s usual hours, below the platform’s published rate limits |
| What can warn you before a ban? | Unexpected sign-in prompts, security check pages, challenges served with HTTP 200, and reduced reach |
| Who decides what’s allowed? | The terms you accepted for the account |
If you’re troubleshooting a problem, start here:
| Symptom | Check first | Likely fix |
| Logged out after a restart or a move to a server | In DevTools, does the login cookie’s Expires column read Session? | One persistent profile per account. If you launch Chrome yourself, its --restore-last-session switch can keep session cookies |
| A verification prompt on an account that worked before | Did the IP, fingerprint, or timezone change since the last login? | A sticky IP and a stored fingerprint on the profile, then sign in by hand in that same profile |
| A second account restricted | Do the accounts share an IP, fingerprint, cookies, or schedule? Does a bot-detection test flag your client? | One profile and one IP per account, driven by a client that doesn’t enable the CDP Runtime domain |
Owning an account isn’t enough to automate it
The platform’s terms decide what you may automate, and those terms often ban fake or duplicate accounts.
X’s automation rules list “Use non-API-based forms of automation, such as scripting the X website” among the things you must not do. The page warns that non-API automation “may result in the permanent suspension of your account”. Through the API, it allows automating several accounts for “related but non-duplicative use cases”.
LinkedIn’s User Agreement says “you will only have one LinkedIn account” and bans “bots or other unauthorized automated methods to access the Services”. Facebook’s terms say “Create only one account (your own)”. Facebook’s terms also forbid automated data collection “regardless of whether such automated access or collection is undertaken while logged-in to a Facebook account”.
These rules still allow many legitimate uses. Teams automate their own accounts on vendor portals, SaaS dashboards with no export API, online marketplaces, and internal tools. Agencies operate client accounts under written authorization, and AI agents act inside a user’s account on that user’s behalf.
Three questions help you decide whether to automate a workflow:
- Is the account yours, or do you have written authorization to manage it?
- Do the platform’s terms allow automated access for this action, or only through an official API?
- Would the activity be acceptable if a person did it by hand at the same volume?
If any answer is no, get authorization, use the official API, or reduce the volume before you build anything.
Official API vs browser automation: how to choose
An official API is usually the better choice when it can do the job. It has documented, versioned behavior, published rate limits, and no browser session to maintain. On X, the rules allow automation only through the API.
Three large platforms have reduced access to their APIs. X moved its API to pay-per-use pricing and kept free access only for apps it classifies as public utilities. Instagram discontinued its Basic Display API, and Meta’s notice said that afterwards “there will no longer be a set of Instagram APIs for consumer developer apps”. Reddit’s Responsible Builder Policy says you “must request access and get explicit approval before accessing any Reddit data through our API”.
Enterprise software adds its own approval step. In an AI Engineer conference talk, Corey Gallon of Rexmore noted that the API for an Office 365 tenant “requires an app registration, and it also requires admin approval”. Employees often can’t get that approval, but their web login already works, so the web interface acts like an API that needs no approval, or in his words, “a permissionless API”.
Use the API when:
- It supports every step of the job
- The platform’s rules require it, as X’s do
- The job needs volume that no person would generate by hand
Use browser automation when the platform’s terms allow automated use of the interface, and:
- The job exists only in the web interface, such as a vendor portal or a dashboard with no export
- API access needs an approval or a plan you can’t get
You can also mix the two. Use an API to read data in bulk and a browser for the steps that exist only in the interface.
The workflow that keeps accounts signed in between runs
The workflow gives each account one browser profile and reuses it on every run. The login usually happens once, and later runs start from that saved state, which is what session persistence means in practice.
The workflow has 6 steps:
- Create one browser profile per account. The profile holds the account’s cookies, site data, device fingerprint, and proxy.
- Log in once, inside that profile. Do it by hand in a visible browser window running that profile, so you can complete a two-factor prompt or a security check yourself.
- Check the session before acting. Look for an element that only a signed-in user sees. If it’s missing, stop and sign in again by hand instead of automating a new login.
- Act at a human pace. Use random pauses between actions, and keep runs within the account’s usual hours.
- Confirm that each action worked. Check the new URL, the network response, or the page state, not just the click.
- End the session explicitly. In a finally block, close the browser first and then end the cloud session, so the profile keeps its latest state even if a step fails.
Step 2 matters for 2 reasons. First, some sign-in pages refuse automated browsers. Google says it might stop sign-ins from browsers “controlled through software automation rather than a human”. When we opened its sign-in page in Google Chrome driven by unmodified Playwright and entered a test email address, the sign-in stopped there:
Second, cookies copied from desktop Chrome can fail on some sites. Chrome’s Device Bound Session Credentials (DBSC) bind a session to a private key in the device’s secure hardware, such as a Trusted Platform Module. The session then runs on short-lived cookies that refresh only when Chrome proves it holds that key. To check whether a site uses DBSC, open Application > Background services > Device bound sessions in DevTools, which lists each site’s active sessions.
Chrome on Windows supports DBSC, and Google’s Workspace admin help says it’s on by default for all Workspace accounts. A cookie from a DBSC-bound session stops refreshing once it’s copied to another machine. On a server with no secure key storage, Chrome’s documentation says DBSC uses standard cookies instead. So log in inside the profile that will run the script, as step 2 does, instead of exporting cookies from your desktop.
What comes back after a restart
Each tool keeps a different set of state across a restart. We compared 3 setups, including a Gologin Cloud Browser profile:
| After a restart | Persistent context | State file | Cloud profile |
| Cookie with an expiry date | Kept | Kept | Kept |
| Login session cookie (no expiry date) | Lost | Kept | Kept |
| localStorage | Kept | Kept | Kept |
| sessionStorage | Lost | Lost | Restored with its tabs |
| Device fingerprint | The host machine’s, shared by every account | Not saved, so the browser that loads the file supplies its own | Stored on the profile and reused each run |
| Proxy and exit IP | Set again at each launch | Not part of the file | Attached to the profile |
The login cookie in the second row disappears without any error. Chrome discards session cookies, which have no expiry date, at restart unless it restores the previous session, and many sites set their login cookie that way. PHP’s session cookie lasts “until the browser is closed” unless configured otherwise. Microsoft’s Entra documentation says a Yes to “Stay signed in?” sets a persistent cookie, and that without session lifetime settings, users are prompted again every time they reopen the browser.
On the quotes.toscrape.com login sandbox, a relaunched persistent context came back logged out with an empty cookie jar, while the same login survived a stop and start of the cloud profile. In any setup, pick “Stay signed in” or “Remember me” when you log in by hand in step 2, so the site can issue a cookie that survives a restart.
A Playwright bug report about losing these cookies got the reply that it “looks expected”, because “session cookies expire in a normal browser as well when you close the window”. Chrome’s --restore-last-session switch can keep them anyway by restoring the previous session and its tabs at startup, as the “Continue where you left off” setting does. In our test with Playwright 1.63, adding it to the args of launch_persistent_context kept the session cookie and the reopened tab’s sessionStorage in both visible and headless Google Chrome 154. Playwright’s bundled headless shell ignored the switch, so drive a full Chrome build.
The storage state file has its own gap. Playwright’s storageState() kept the cookie but dropped sessionStorage, where Microsoft’s MSAL.js sign-in library keeps its token cache by default. Users have asked Playwright to include it. Since version 1.61, Playwright has page.session_storage, so you can save the items yourself and write them back before the app’s own scripts run:
import json
# First run, after logging in: save sessionStorage beside the storage state file
items = {i["name"]: i["value"] for i in page.session_storage.items()}
json.dump(items, open("session_storage.json", "w"))
# Next run, before opening any page: write the items back before the app's scripts run
items = json.load(open("session_storage.json"))
context.add_init_script(
"if (location.origin === 'https://app.example.com') "
f"for (const [k, v] of Object.entries({json.dumps(items)})) sessionStorage.setItem(k, v);"
)
In our test, the page’s own script found the token when it loaded, but with the state file alone it found nothing. Both files hold live credentials, so keep them out of shared folders and repositories.
Before you trust any setup, log in once and open the Application tab in DevTools to list the storage the site wrote. Then restart and confirm that each piece came back. On the sandbox’s login page, the one cookie it sets shows Session in its Expires column:
A Playwright website automation script in Python
The script runs the 6-step workflow with Patchright, a fork of Playwright that keeps Playwright’s API almost unchanged and avoids enabling the CDP Runtime domain:
import os
import random
import time
import urllib.request
from patchright.sync_api import sync_playwright
TOKEN = os.environ["GL_API_TOKEN"]
PROFILE_ID = os.environ["GL_PROFILE_ID"] # one profile per account
CDP_URL = f"wss://cloudbrowser.gologin.com/connect?token={TOKEN}&profile={PROFILE_ID}"
def pause(low=2.0, high=6.0):
time.sleep(random.uniform(low, high)) # random pause between actions
def stop_session():
# Ends the cloud session, which saves the profile for the next run
req = urllib.request.Request(
f"https://api.gologin.com/browser/{PROFILE_ID}/web",
method="DELETE",
headers={"Authorization": f"Bearer {TOKEN}"},
)
urllib.request.urlopen(req, timeout=30)
with sync_playwright() as p:
browser = None
try:
browser = p.chromium.connect_over_cdp(CDP_URL, timeout=120_000)
context = browser.contexts[0] # the profile's own context, with its saved login
page = context.new_page()
page.goto("https://quotes.toscrape.com/")
if not page.get_by_role("link", name="Logout").is_visible():
raise SystemExit("Not logged in: sign in to this profile by hand, then rerun")
pause()
page.get_by_role("link", name="Next").click()
page.wait_for_url("**/page/2/") # confirm the action worked, not only that the click ran
print("Logged in, now on", page.url)
finally:
try:
if browser:
browser.close() # close first, so the browser writes its storage to disk
finally:
stop_session() # then end the session, even if a step above failed
Patchright is the only package you install, with pip install patchright or uv add patchright inside a uv project, because the script drives the remote browser over CDP. Create a token on the dashboard’s API & MCP page and set it as GL_API_TOKEN. Call GET https://api.gologin.com/browser/v2 with that token, and set GL_PROFILE_ID to the profile’s id from the response. On the sandbox, 2 runs printed this:
$ GL_PROFILE_ID=<profile without a login> python run_account.py
Not logged in: sign in to this profile by hand, then rerun
$ GL_PROFILE_ID=<profile with a saved login> python run_account.py
Logged in, now on https://quotes.toscrape.com/page/2/
To adapt the script to your own account, replace the URL, and check for an element your site shows only to signed-in users instead of the Logout link. Keep the rest of the structure. Existing Python browser automation built on Playwright can connect the same way, because the connection is standard CDP.
Two details cause no error when they’re wrong. First, open pages from browser.contexts[0], the profile’s own context, which holds the saved login. Over CDP, Playwright’s browser.new_page() opens a separate, empty context without the saved login.
Second, in our tests, page.on("console") under Patchright didn’t receive the page’s own console calls. It received only browser messages, such as failed resource loads. Log from Python instead.
A cloud session can survive a script crash. In our crash test, reconnecting to the profile returned its open tabs and unsaved state, so the script could continue the work or close the session cleanly. So after a crash, reconnect to the same profile before you start a new session.
Why multi-account website automation often fails on the second account
When the second account gets restricted, look for something that links it to the first, or for an automation signal that sites detect on both accounts.
Inside one session, the browser’s signals, such as its timezone and IP location, should agree with each other. Across runs, the account should appear as the same device and network. Across accounts, nothing should be shared.
The diagram maps those 3 checks to the parts of each account’s profile:
Shared resources can link accounts
Anything two accounts share can connect them, such as an IP, a device fingerprint, the same cookies, or a schedule that runs at the same second. In Ask Me Anything threads on Reddit, a proxy provider’s founder described the failure his team sees most often. A cookie gets created on one IP and then reused across a rotating pool of IPs, and customers blame the IP for the block.
In his words, “if your cookie stays the same while your exit ip changes three times in ten seconds, that is a signal no real user produces”. The maintainer of an open-source HTTP fingerprinting library stated the rule more simply. “Anti-bots lock cookies per IP, so sharing them across sessions is a big no-no”. The maintainer added that one identity appearing from many devices and locations at once “hits fraud rules instead of bot rules, those are stricter”.
An exit IP that changes between sessions can make the same account look like it moved networks. Attach a sticky proxy to the profile, not to the script, so every session uses it.
Device fingerprints can link accounts the same way. Running every account from one laptop gives all of them the same canvas fingerprint, fonts, GPU, and screen resolution, and a new Chrome profile doesn’t change that. In our test, 2 new Chrome profiles and an incognito browser context on the same laptop got identical fingerprint IDs on 2 test sites.
Cloning a working profile repeats the problem at scale, because a clone that copies the fingerprint appears as the same device. To check any setup, open the same fingerprint test from 2 profiles and compare the IDs.
Automation signals can flag every account at once
We ran the Are you a bot? test on deviceandbrowserinfo.com and CreepJS, an open-source fingerprinting test, against 6 setups with Playwright 1.63 and Chrome 152 to 154. Both tests read browser fingerprinting signals only, which isolates the browser from IP reputation and behavior. Each setup ran once unless its row says otherwise. The CreepJS column shows how likely the test judged each browser to be headless or patched for stealth, so 0% is the clean result:
| Setup | Verdict | Flags raised | CreepJS headless / stealth |
| Playwright default launch (bundled headless shell) | Flagged | HeadlessChrome user agent, webdriver (page and iframe), CDP (page and worker), timing check | 100% / 0% |
| Google Chrome, unmodified Playwright | Flagged | Webdriver (page and iframe), CDP (page and worker), plus the timing check in 1 of 2 runs | 33% / 0% |
| Google Chrome in new headless mode, Puppeteer with the stealth plugin | Flagged | CDP (page and worker), inconsistent worker values | 33% / 80% |
| Google Chrome, raw CDP without Runtime.enable | Clean | None | 0% / 0% |
| Google Chrome, Patchright | Clean | None | 0% / 0% |
| Gologin cloud profile, Patchright | Clean | None | 0% / 0% |
Three findings matter here.
The CDP flags followed the client library, not the browser. In these runs, unmodified Playwright and Puppeteer enabled the CDP Runtime domain on every page and worker.
The test’s check replaces V8’s inspector‘s Error.prepareStackTrace hook with a few lines of page JavaScript and then logs an error.
With Runtime enabled, Chrome’s inspector formats that error for the client, and formatting the error runs the hook. V8’s inspector skips stack getters defined by the page when it describes an error, so an older variant of the trick didn’t fire in our runs. The prepareStackTrace version still fired on Chrome 154.
With Runtime off, no client receives the log, so nothing formats the error and the hook doesn’t run. The diagram follows the same check on the same Chrome under unmodified Playwright and under Patchright:
The Runtime domain also carries the page’s console calls to the client, which is why page.on("console") missed them under Patchright in our tests.
The stealth plugin removed one signal and created another. In our run, it removed the webdriver flag, but its page-level patches didn’t reach Web Workers. The page reported an Intel Iris GPU and 4 cores, while a worker on that same page reported the laptop’s actual Apple M3 GPU and 8 cores. CreepJS rated it 80% likely to be patched for stealth.
The fraud-detection vendor Castle has written that such patches “sometimes introduce their own inconsistencies and detectable side effects, especially when overwritten naively, which is often the case when the lies are applied at the JavaScript level”.
Playwright’s default launch also differs at the network layer. Its bundled headless shell sent HeadlessChrome in the user agent and in the client hints. Its TLS handshake left out one extension that Google Chrome sent (Trust Anchor IDs, codepoint 0xCA34).
Its JA4 fingerprint therefore didn’t match Chrome’s. JA4 is a hash of the TLS handshake that many detection systems compute. No page-level script patch can change a TLS handshake.
These are the bot-detection test’s own result pages for 2 of the rows above:
In practice, drive each account’s browser with a client that avoids enabling the Runtime domain, and use a full Chrome build instead of a headless shell. Patchright does that and keeps Playwright’s API almost unchanged, so the script above imports it. In our tests this removed the CDP signal, but IP reputation and behavior still count. The cloud profile in the table comes with its own Chromium build, so Patchright is the only piece you add.
Account isolation: what each account needs of its own
Give each account its own set of these components, and keep them stable across runs:
| Component | Set it to | What can go wrong otherwise |
| Browser profile | 1 per account, never shared or cloned | Two accounts share one device |
| Device fingerprint | Created once and stored on the profile | A new device appears on every run |
| Proxy | A sticky residential, mobile, or static ISP IP in the account’s usual region, 1 per account | Cookies appear from a new network, or from another account’s IP |
| Timezone and language | Matched to the proxy’s location | A browser on a Japanese IP reports a Los Angeles timezone |
| Concurrent sessions | 1 per profile | The same account is active in two places at once |
| Pacing | Random pauses between actions, the account’s usual hours, below published rate limits | Timing so regular that it looks automated |
The timezone row looks basic, yet it’s easy to get wrong, because the browser reports the timezone while the proxy decides the location. Check each profile by opening a test page and comparing its timezone with the exit IP’s location.
Residential proxy rotation, which changes the IP on every request, suits public data collection, where each request should look unrelated to the last. An account should look like one person on one connection, so don’t rotate its IP by default.
So assign a sticky or static IP to the profile, and change it only deliberately, within the same region. Mobile IPs have a benefit and a cost. Carrier-grade NAT puts many real users behind one address, so platforms hesitate to block it, because blocking it “hits too many innocent people”, as the same proxy provider’s founder put it. Yet Cloudflare found that such shared addresses were rate-limited 3 times more often than other IPs, likely because many users’ traffic combines on one address.
Timing can link accounts too. Scripts often run at exact clock times, and GitHub’s documentation lists the start of every hour as a high-load time for scheduled workflows. Ten accounts that each post at exactly 09:00:00 share that pattern, and their schedule alone can link them. Spread actions across each account’s working hours in its own timezone, add jitter (small random changes to each time), and treat a platform’s published limits as a maximum, not a target.
Write actions need more caution than reads. As the same fingerprinting-library maintainer put it, “write endpoints always get defended harder than read ones”. Posting, messaging, and checkout are all writes. Treat new accounts more carefully than established ones, and increase their activity gradually.
Where to keep each account’s identity
You can manage these identities yourself. You need a profile directory, a patched browser, and a proxy for each account, and you must keep all of it updated and in sync on every machine that runs those accounts. On a data extraction podcast, a host said his own patched Chromium had started getting more 403 errors and challenge pages “because the Chrome binary that I’m using, I haven’t updated”.
For automating logged-in workflows in the cloud, a Gologin Cloud Browser profile gives each account a persistent digital identity. The fingerprint is stored on the profile, and the proxy is attached to the profile rather than to the connection, so both load with the cookies when the profile starts. By default, the profile matches its timezone and language to the location of its exit IP, so an attached proxy sets the locale. Runs then report a consistent device, network, and locale.
In our runs, one profile kept the same fingerprint ID on 2 test sites across separate sessions, and a second profile got IDs different from the first. A profile with a German exit IP reported the Europe/Berlin timezone and German as its language, and its Accept-Language header matched.
The login from step 2 happens in that same profile. Start the profile from the web app, sign in by hand, then stop the profile. Later scripts connect to the profile and can use the saved session:
Account health monitoring: catch restrictions before a ban
Platforms can respond with measures milder than a ban. On an OxyCon panel, an anti-bot researcher described 3 of them. A platform can ask for a second factor at login, shadowban the account, or send an action to manual review. Each option leaves a trace that your automation can log and act on:
| Signal | What it may mean | What to do |
| The session check fails, or lands on a login or checkpoint page | The session was revoked or flagged | Pause the account and sign in again by hand in the same profile |
| A second-factor or security prompt on a known profile | The device or network changed since the last session | Find what changed on the profile or the proxy before you resume |
| A challenge page served with HTTP 200 | A block that looks like success | Detect challenges by page content, never by status code alone |
| An action “succeeds”, but nothing changed | A silent failure or a soft block | Check the result in the page or the network response |
| Content the account can see, but others can’t | Reduced visibility or a shadowban | Check from a logged-out profile on a different IP |
| CAPTCHAs appearing more often | The platform trusts the account less | Slow down and review pacing before adding volume |
Block pages can arrive with a success status. A Prague Crawl conference talk on classifying failed requests found several commercial unblocking APIs returning HTTP 200 for CAPTCHA pages. A status code alone can’t tell you whether a run worked.
Corey Gallon’s advice for agents applies to every script, too. “Don’t ask the click if it was successful. Check the network or check the screen”.
Some platforms tell you about reduced visibility themselves. Instagram’s Account Status page shows professional accounts whether their content may be recommended to non-followers. People often call the loss of that reach a shadowban.
On every run, log the account, the profile, the exit IP, the URL after the session check, whether a challenge appeared, and whether the action was confirmed. When one of these signals appears, stop that account and open it in a visible session before the next run. For a cloud profile, Live View shows the running session in a normal browser tab as it happens. Retrying a flagged account in a loop can push the platform from a soft check to a hard block.
Compliance: terms, robots.txt, and personal data
For logged-in automation, the terms you accepted for the account define most of the rules, because the script acts as you inside that account. Read them for the actions you plan to automate before you write the script.
robots.txt asks crawlers not to visit parts of a site. Respect it, but don’t treat a path it allows as permission, because the account’s terms still decide what a logged-in script may do.
Some sites group automated traffic by purpose. Cloudflare’s AI traffic settings split it into Search, Agent, and Training. Cloudflare also changed its defaults so that new domains block Agent and Training traffic on pages that show ads.
Web Bot Auth is a proposed standard for signing automated requests. It proves which operator sent a request, but not which user the request acts for, and it doesn’t replace the account’s own session.
Handle personal data carefully too. If a workflow reads messages, customer lists, or other people’s profiles, collect only what the job needs, set a retention period, and don’t write personal data to logs.
Don’t let a script accept anything on your behalf. New terms, consent prompts, and any step that accepts an agreement need a person. For client accounts, keep a record of who authorized each account and when.
Final thoughts
For logged-in accounts, website automation works best when each account shows the same device, network, and stored state on every run and shares none of it with another account. Cookies alone don’t keep that state. Give each account one persistent profile, drive it with an automation library that doesn’t enable the CDP Runtime domain, and pause the account at the first warning sign.
Where a platform forbids UI automation, use the API or do the work by hand. Everywhere else, move one account’s login into a Gologin Cloud Browser profile, which keeps its fingerprint, cookies, and proxy together, then run the session check above.
FAQ
What is the best website automation tool?
It depends on the job. No-code website automation software suits simple tasks that don’t need a long-lived login. For logged-in account work, a library such as Playwright or its fork Patchright gives more control. Pair it with one persistent browser profile per account, locally or in a cloud browser, and a sticky IP.
Can I use Playwright for web automation?
Yes. Playwright drives Chromium, Firefox, and WebKit through logins, forms, and multi-step flows on sites that allow it. For accounts that must stay signed in, reuse one persistent profile per account instead of a new browser, and confirm after a restart that the site’s login data was restored.
Can websites detect Playwright?
Yes, they can. In our tests, Playwright’s default headless browser sent HeadlessChrome in its user agent and set navigator.webdriver. CDP checks also flagged unmodified Playwright on Google Chrome, because it enabled the Runtime domain. Patchright avoided that signal, but IP reputation and behavior still count.
Can Playwright use my browser?
Yes. Playwright can launch Chrome with a persistent user data directory or attach to a running browser over CDP. Use a separate profile, because Chrome 136 and later ignore remote debugging on the default profile. In our tests, a relaunched persistent context also lost the site’s session cookie.
Are you allowed to have multiple accounts?
It depends on the platform. Facebook’s terms say to create only one account, and LinkedIn allows one account per person. X allows automating several accounts through its API for uses that don’t duplicate each other. Read each platform’s terms before you manage more than one account, and never create fake ones.
