How to Manage 50+ TikTok, Instagram & Facebook Accounts Without Bans in 2026: The Antidetect Browser + Dedicated Mobile Proxy Architecture
Scaling social media automation and multi-account farming in 2026 is no longer a simple game of clearing cookies and running standard residential proxies. Meta (Facebook, Instagram) and ByteDance (TikTok) have deployed deep-learning fraud engines that operate across the entire OSI model.
These platforms analyze everything from physical GPU render buffers and audio frequency harmonics down to passive TCP/IP packet signatures and sub-carrier ASN routing. If any signal in your software or network stack deviates from authentic human consumer distributions, your farm collapses in a coordinated ban-wave.
Managing 50, 100, or 500 accounts simultaneously without checkpoints, phone verification loops, or shadowbans requires an enterprise infrastructure mindset.
This guide delivers the definitive engineering blueprint: combining hardware-isolated antidetect browser profiles with dedicated, physical 5G mobile proxies utilizing Carrier-Grade NAT (CGNAT) topologies.
1. Executive Summary & The Ban Landscape in 2026
The contemporary anti-fraud ecosystem on social networks relies on unified telemetry engines: Meta’s updated integrity pipelines and TikTok’s edge-computing behavioral models. These platforms no longer evaluate signals in isolation; they compute a unified dynamic trust score:
$$\text{Trust Score} = f(\text{Network ASN}, \text{OS/TCP Alignment}, \text{Browser Entropy}, \text{Behavioral Dynamics})$$
When this composite score falls below an empirical threshold, platforms do not issue an immediate permanent suspension. Instead, they flag the profile for asymmetric mitigation:
- Shadowbanning: Zero algorithmic distribution on the "For You" (TikTok) or "Explore" (Instagram) pages, masking infrastructure detection from the operator.
- Micro-Checkpoints: Intermittent SMS, WhatsApp, or biometric video selfie challenges designed to raise operational friction to an unsustainable level.
- Account Association Cascades: Graph database algorithms (e.g., Neo4j-style link analysis) map commonalities between accounts (shared WebGL vendor strings, shared subnet ranges, overlapping session cookies) and ban the entire cluster simultaneously.
To bypass this continuous verification matrix, every single account in your 50+ inventory must operate within an isolated, deterministic execution sandbox. This sandbox must mimic a distinct consumer mobile device or desktop operating system from the network edge down to the kernel rendering pipeline.
2. The Anatomy of a Social Media Ban: Multi-Layer Fingerprinting
Modern browser fingerprinting decomposes into four distinct analytical layers. A failure in any individual layer invalidates the authenticity of the entire identity.
+-----------------------------------------------------------------------+
| LAYER 4: BEHAVIORAL & TEMPORAL BIOMETRICS |
| Mouse Bezier Curves, Keystroke Dynamics, Session Time Entropy |
+-----------------------------------------------------------------------+
| LAYER 3: CLIENT RUNTIME & HARDWARE ENGINE FINGERPRINTING |
| WebGL 2.0 / Canvas Hashes, AudioContext, ClientRects, WebRTC IP |
+-----------------------------------------------------------------------+
| LAYER 2: TRANSPORT & APPLICATION PROTOCOL (TLS/HTTP2) |
| JA4 / JA3 Fingerprints, HTTP/2 SETTINGS frames, WINDOW_UPDATE checks |
+-----------------------------------------------------------------------+
| LAYER 1: NETWORK & OS STACK FINGERPRINTING |
| Passive OS (p0f) TTL/Window Size, ASN Classification, CGNAT Topologies|
+-----------------------------------------------------------------------+Layer 1: Passive OS & Network Stack (p0f / eBPF)
Anti-fraud defenses inspect inbound TCP SYN packets directly at the edge router via eBPF probes. The operating system kernel generates predictable network artifacts that cannot be altered by JavaScript extensions:
- Initial Time to Live (TTL): Standard Linux kernels typically set default TTL to 64; Windows NT sets it to 128; iOS and macOS set it to 64.
- TCP Window Size & MSS: Windows NT uses dynamic receive windows (typically 65535 or larger with scaling factors); Linux and Android use distinctive static multiples of Maximum Segment Size (MSS), typically 1440 or 1460 bytes.
- TCP Options Order: The precise sequence of
[MSS, SACK permitted, Timestamps, NOP, Window Scale]identifies the host kernel version.
If an antidetect browser claims to be running on macOS (User-Agent string) but emits TCP SYN packets matching an unpatched Ubuntu 22.04 LTS kernel hosting a datacenter proxy, the platform flags the profile instantly.
Layer 2: TLS and HTTP/2 Protocol Fingerprints (JA3 / JA4)
Platforms extract cryptographically deterministic fingerprints from the SSL/TLS Client Hello message:
- JA3/JA4 Hashes: Calculated from the TLS version, accepted ciphers, list of TLS extensions, elliptic curves, and curve point formats.
- HTTP/2 Frame Fingerprinting: The order and initial parameters of the
SETTINGSframe, the presence ofPRIORITYframes, and the default window size adjustments (WINDOW_UPDATE).
Standard automation frameworks (raw Puppeteer, Selenium, Playwright) emit distinct Node.js or standard Python TLS handshakes that differ fundamentally from the TLS handshake generated by a production consumer browser like Google Chrome or Safari.
Layer 3: Client Runtime and Hardware Fingerprinting
Inside the browser runtime, social platforms execute obfuscated JavaScript to probe low-level hardware variations:
+-----------------------+
| Obfuscated JS Engine |
+-----------+-----------+
|
+-----------------------+-------------+-------------+-----------------------+
| | | |
v v v v
+-------------------+ +--------------------+ +--------------------+ +-------------------+
| Canvas 2D / 3D | | WebGL Renderer | | AudioContext | | DOM Rectangles |
| Sub-pixel text & | | GPU Driver Hash, | | Oscillator node | | Floating-point |
| color degradation | | EXT_shader, ANGLE | | frequency decay | | layout rounding |
+-------------------+ +--------------------+ +--------------------+ +-------------------+- Canvas 2D Rendering: Drawing hidden text strings with anti-aliasing. Differences in the underlying GPU, display drivers, font rasterization engines (DirectWrite vs. FreeType vs. CoreText), and operating system scaling render distinct pixel checksums.
- WebGL 2.0 & GPU Driver Fingerprinting: Querying the
UNMASKED_VENDOR_WEBGLandUNMASKED_RENDERER_WEBGLparameters via the debug extension. Discrepancies between the reported GPU (e.g., Apple M2) and supported GLSL extensions immediately signal an emulated environment. - AudioContext Processing: Generating an audio signal through an
OscillatorNode, feeding it through anAnalyserNodeand aDynamicsCompressorNode, and calculating the Fast Fourier Transform (FFT) float buffer. The hardware digital-to-analog converter (DAC) clock drift produces a mathematically unique hardware signature. - WebRTC Leaks: Even behind a proxy, standard browser WebRTC interfaces query STUN/TURN servers to exchange ICE candidates, frequently exposing local private IPs (
192.168.x.xor10.x.x.x) or bypassing the proxy tunnel to expose the actual host IP address.
Layer 4: Behavioral Biometrics and Session Dynamics
- Mouse Dynamics: Human cursors follow continuous Bezier curves with natural micro-tremors, acceleration, and deceleration. Bot automation often emits linear coordinate jumps or instant click dispatches.
- Keystroke Inter-arrival Times (Flight Time): The duration between
keydownandkeyup, alongside the variance between consecutive keystrokes, follows a biological Gaussian distribution. Uniform delay sequences (e.g.,delay: 100ms) trigger anomaly flags.
3. The Datacenter IP Trap vs The Residential Shared IP Trap
The network layer provides the initial filter for all automated traffic. If your network address triggers fraud indicators, antidetect browser configurations will not save your accounts.
+-------------------------------------------------------------------------------------+
| THE PROXY RELIABILITY MATRIX |
+---------------------+-------------------+---------------------+---------------------+
| METRIC | DATACENTER | SHARED RESIDENTIAL | DEDICATED 5G MOBILE |
| | (AWS, Hetzner) | (Luminati, Oxylabs) | (Proxym.io) |
+---------------------+-------------------+---------------------+---------------------+
| Cost Model | $0.50 - $2.00/IP | $5.00 - $15.00 / GB | Flat Port (€70-80) |
| ASN Classification | Hosting / Data Ctr| ISP / Residential | Mobile / Cellular |
| IP Cleanliness | Burned / Static | Volatile / Shared | Self-Healing (CGNAT)|
| IP Rotation Control | Manual Rebind | Unpredictable Drop | Explicit API Call |
| Bandwidth Predict. | High | Dangerously Costly | 200 GB Fair Use |
| Fraud Risk Score | 95 - 100 (Instant)| 40 - 75 (Variable) | 0 - 5 (Pristine) |
+---------------------+-------------------+---------------------+---------------------+The Datacenter IP Trap (AWS, OVH, Hetzner, DigitalOcean)
Datacenter IP addresses belong to Autonomous System Numbers (ASNs) officially registered as "Hosting / Data Center" by the Regional Internet Registries (RIRs) like RIPE NCC and ARIN.
When an inbound connection arrives at Meta or TikTok from a Hetzner or OVH ASN:
- The platform checks the IP against IP intelligence databases (MaxMind, IPinfo, Spur).
- The ASN type is resolved to
Hosting. - The platform applies an initial fraud risk multiplier: $\text{Base Risk} \ge 90\%$.
- Any novel action (e.g., account registration, rapid liking, outbound messaging) triggers an immediate checkpoint or outright ban. Datacenter IPs are not viable for social media multi-accounting in 2026.
The Residential Shared IP Trap
To bypass datacenter flags, many operators turn to shared residential proxy networks. While these proxies offer residential ISP ASNs (Comcast, AT&T, Orange Residential), their underlying business models introduce critical operational vulnerabilities:
- Contaminated IP Pools: Shared residential IPs originate from peer-to-peer SDK networks bundled inside consumer desktop apps or infected IoT hardware. Millions of low-quality bots simultaneously run ad fraud, credential stuffing, and scraper tasks through these exact addresses. When you lease an IP, it may already be present on blacklists (Spamhaus, Project Honeypot, SBL).
- Session Instability and Sudden IP Drift: Residential micro-peers frequently go offline. When the host device disconnects, the proxy provider automatically routes your active TCP stream through an entirely different IP address in a different subnet or city. Meta and TikTok detect mid-session IP switches as account takeovers, prompting immediate password resets and identity checkpoints.
- The Metered Bandwidth Cost Trap: At \$5 to \$15 per gigabyte, running video-heavy platforms like TikTok and Instagram becomes cost-prohibitive. Profiling 50+ accounts consuming dynamic H.264/H.265 media streams can burn hundreds of gigabytes per month, generating unexpected proxy bills.
4. Why Mobile CGNAT IPs are Mathematically Unbannable
The optimal solution for multi-account networking lies in the architecture of cellular telecommunication networks: Carrier-Grade NAT (CGNAT) deployed over 4G and 5G backbones.
The CGNAT Topology and RFC 6598
Due to global IPv4 address exhaustion, mobile network operators (MNOs) like Orange, SFR, Bouygues Telecom, and Free Mobile do not assign public IPv4 addresses to mobile handsets. Instead, they assign private IPv4 addresses from the reserved 100.64.0.0/10 address space (RFC 6598) to user equipment (UE).
Thousands of distinct mobile smartphones connect simultaneously to localized eNodeB (4G) or gNodeB (5G) base stations. These connections are aggregated into high-capacity Carrier-Grade NAT routers at the mobile core network, routing out through a small pool of shared public IPv4 addresses.
+--------------------------------------------------------------------+
| MOBILE CGNAT ARCHITECTURE |
+--------------------------------------------------------------------+
[Smartphone A] \
(100.64.12.4) \
\
[Smartphone B] ----> [ gNodeB Cell Tower ] ---> [ Telco CGNAT Core ] ---> [ PUBLIC IPv4 ] ---> [ Meta / TikTok ]
(100.64.12.5) / (NAT44 Translation) (92.184.105.12)
/
[Proxym Hardware]/
(100.64.12.6)At any given second, the public IP address 92.184.105.12 serves:
- 1,200 legitimate consumer smartphones browsing Instagram, ordering food, and texting.
- 1 dedicated modem automated by an antidetect profile.
The Collateral Damage Equation
Social media platforms must minimize false positives. Banning legitimate users destroys ad impressions, DAU metrics, and stock valuations.
Let:
- $N_{\text{legit}}$ be the number of legitimate consumer mobile users actively connected to a public CGNAT IPv4 address.
- $N_{\text{bot}}$ be the number of automated or multi-account instances using that same IP address.
- $C_{\text{churn}}$ be the financial cost of losing legitimate consumers due to account suspensions.
- $B_{\text{fraud}}$ be the platform benefit of eliminating bot operations.
The expected financial penalty function for an anti-fraud algorithm attempting to ban the IP address is:
$$\mathbb{E}[\text{Loss}] = (N_{\text{legit}} \times C_{\text{churn}}) - (N_{\text{bot}} \times B_{\text{fraud}})$$
Because $N_{\text{legit}} \gg N_{\text{bot}}$ on Tier-1 mobile networks, $N_{\text{legit}} \times C_{\text{churn}}$ dominates the equation by orders of magnitude.
Therefore:
$$\lim_{N_{\text{legit}} \to \infty} P(\text{IP Ban}) = 0$$
Social platforms mathematically cannot ban the public IP address of a mobile CGNAT pool without causing catastrophic collateral damage to ordinary mobile customers. The worst action a platform can take against a cellular IP is temporary session rate-limiting.
Dedicated Industrial Hardware vs. Cheap Consumer USB Dongles
Most budget proxy vendors host SIM cards in low-cost consumer USB modems (e.g., Huawei E3372) plugged into overloaded consumer Raspberry Pi clusters. These setups introduce severe hardware bottlenecks:
- USB modems overheat under constant socket stress, dropping connections and leaking your underlying connection.
- Consumer hardware lacks enterprise remote control commands, frequently causing modems to desynchronize from the cellular tower.
Enterprise operations require industrial equipment:
- Hardware: Teltonika RUTX50 (5G) or Teltonika TRB500 dedicated gateways. These devices feature industrial-grade heatsinks, enterprise Quectel 5G chipsets, and dual SIM redundancy running custom firmware.
- Throughput: Capable of handling hundreds of concurrent connections and delivering actual mobile speeds between 100 Mbps and 500 Mbps with ultra-low jitter.
- Control: Programmatic AT-command execution over serial buses for deterministic, clean IP rotation.
+-----------------------------------------------------------------------------------+
| HARDWARE ARCHITECTURE COMPARISON |
+------------------------------------+----------------------------------------------+
| CONSUMER USB DONGLE FARMS | INDUSTRIAL PROXYM ARCHITECTURE |
+------------------------------------+----------------------------------------------+
| Huawei E3372 / Raspberry Pi | Teltonika RUTX50 / TRB500 Industrial Gateways|
| USB 2.0 bus contention & thermal | PCI-e / dedicated internal architecture with |
| throttling at high temperatures | aluminum passive heatsink cooling |
| Frequent packet drops & resets | 99.9% hardware uptime under heavy load |
| Uncontrolled carrier reconnection | Deterministic AT-command radio band re-attach|
+------------------------------------+----------------------------------------------+Proxym builds directly on this industrial standard, deploying real, dedicated SIM cards across France's Tier-1 carriers (Orange, SFR, Free Mobile, Bouygues Telecom) using dedicated Teltonika modems. This infrastructure provides dedicated access to clean IP pools without sharing bandwidth or IP histories with other operators.
5. Production Playbook: Antidetect Browser Configuration
Isolating accounts requires pairing individual browser software identities with unique, stable proxy pipelines.
The Antidetect Suite Matrix
The four primary antidetect browsers utilized in enterprise automation environments are AdsPower, Dolphin{anty}, GoLogin, and Multilogin.
+----------------------------------------------------------------------------------+
| ANTIDETECT BROWSER FEATURE COMPARISON |
+-------------------+-----------------+--------------------+-----------------------+
| BROWSER | KERNEL BASE | API CAPABILITIES | BEST USE-CASE |
+-------------------+-----------------+--------------------+-----------------------+
| AdsPower | Chromium / | Full Local REST | Massive bulk scaling, |
| | Firefox Gecko | Puppeteer/Playw. | complex proxy binds |
| Dolphin{anty} | Chromium | REST API + | SMM teams, rapid team |
| | | Automation Scripts | access control |
| GoLogin | Orbita | Comprehensive SDK | Cross-platform cloud |
| | (Chromium-based)| (Puppeteer/Python) | infrastructure |
| Multilogin | Mimic (Chrome) /| Advanced REST API | Enterprise automation,|
| | Stealthfox (FF) | & CLI tools | absolute isolation |
+-------------------+-----------------+--------------------+-----------------------+Profile Hardware Configuration Parameters
When provisioning a profile inside an antidetect browser, apply the following deterministic settings:
- Operating System: Match the OS of the machine running the antidetect instance. If your server runs Windows Server or Windows 11, select Windows. Never run a macOS profile on a Windows physical host; subtle font-rendering, sub-pixel canvas differences, and audio stack discrepancies will contradict the OS claim.
- User-Agent: Use real, modern user agents. Never drift more than two major versions behind the current upstream release (e.g., Chrome 124–126).
- WebGL & Canvas: Set to Noise or Off depending on platform requirements. Modern practice favors using authentic hardware profiles: match the WebGL string to the real underlying physical GPU architecture of the host machine rather than injecting synthetic mathematical noise, which ML models can identify as an obfuscation attempt.
- WebRTC Policy: Set to Altered / Real IP Spoof. Do not disable WebRTC outright; legitimate consumer browsers always have WebRTC enabled. Instead, configure the browser engine to route all WebRTC ICE candidate probes exclusively through the designated mobile proxy, returning the proxy's public IP as the reflexive candidate.
- AudioContext: Enable Noise Injection. This slightly shifts the FFT audio rendering buffer by an imperceptible floating-point margin, creating a persistent, unique audio fingerprint without failing standard API expectations.
- Client Rects & Fonts: Maintain host-native fonts or enable strict font isolation to prevent the system font list from exposing unique OS installation configurations.
6. ASCII Architecture: 50+ Profile Multi-Tenant Isolation
Scaling to 50+ accounts requires decoupling your application profiles from physical modems while maintaining consistent network identities.
Below is an enterprise architecture mapping 50 social accounts across dedicated industrial Teltonika RUTX50 modems using programmatic API rotation:
+----------------------------------------------------------------------------------------------+
| 50-ACCOUNT ENTERPRISE AUTOMATION TOPOLOGY |
+----------------------------------------------------------------------------------------------+
[ PROFILE CLUSTERS ] [ ORCHESTRATION & TUNNELS ] [ CARRIER CGNAT EGRESS ]
+------------------+
| Profiles 01 - 10 | --- HTTP/SOCKS5 ---> [ Proxym Modem #1: Port 10001 ]
| (TikTok Group A) | | Carrier: Orange France |
+------------------+ | Teltonika TRB500 Dedicated | ===> CGNAT IPv4 Pool
^ | API: /api/proxies/1/rotate | (100.64.0.0/10)
| Rotation Event +-----------------------------+ |
+------------------------------------------------ |
v
+------------------+ +----------------+
| Profiles 11 - 20 | --- HTTP/SOCKS5 ---> [ Proxym Modem #2: Port 10002 ] | |
| (Instagram A) | | Carrier: SFR France | | Meta & TikTok |
+------------------+ | Teltonika TRB500 Dedicated | ===>| Edge Gateways |
| API: /api/proxies/2/rotate | | |
+-----------------------------+ +----------------+
^
+------------------+ |
| Profiles 21 - 30 | --- HTTP/SOCKS5 ---> [ Proxym Modem #3: Port 10003 ] |
| (Facebook Ads) | | Carrier: Bouygues Telecom | |
+------------------+ | Teltonika RUTX50 Dedicated | ===> CGNAT IPv4 Pool
| API: /api/proxies/3/rotate | (100.64.0.0/10)
+-----------------------------+Proxym REST API Rotation Implementation
When switching account sessions on a dedicated mobile port, you trigger a hard cellular interface reset via the Proxym REST API:
[Account Session Ends]
│
▼
[Execute cURL / HTTP GET to API Endpoint]
│
▼
[Teltonika RUTX50 Hardware Drop Carrier Link]
│
▼
[3GPP Attach Procedure: Request New PDP Context]
│
▼
[MNO Radius / Diameter Assigns New CGNAT IP]
│
▼
[Health Check: Confirm IP Drift & Route Integrity]
│
▼
[Launch Next Browser Profile Session]Production Bash Automation: IP Rotation & Verification
#!/usr/bin/env bash
# Proxym Enterprise IP Rotation & Validation Protocol
set -euo pipefail
PROXY_HOST="fr.proxym.io"
PROXY_PORT="10001"
PROXY_USER="px_client_982"
PROXY_PASS="SecureKey_x89"
ASSIGNMENT_ID="asgn_fr_orange_004"
API_KEY="prx_live_a89f923c89d2011b98ac"
echo "[1/4] Querying current outbound IP from modem..."
CURRENT_IP=$(curl -s --max-time 10 --proxy "http://${PROXY_USER}:${PROXY_PASS}@${PROXY_HOST}:${PROXY_PORT}" "https://api.ipify.org")
echo "[-] Current Active IP: ${CURRENT_IP}"
echo "[2/4] Triggering cellular reconnect via Proxym REST API..."
RESPONSE=$(curl -s -w "\n%{http_code}" -X POST "https://api.proxym.io/api/proxies/${ASSIGNMENT_ID}/rotate" \
-H "Authorization: Bearer ${API_KEY}" \
-H "Content-Type: application/json")
HTTP_CODE=$(echo "$RESPONSE" | tail -n1)
BODY=$(echo "$RESPONSE" | sed '$d')
if [ "$HTTP_CODE" -ne 200 ]; then
echo "[!] Error: Rotation API returned status ${HTTP_CODE}: ${BODY}"
exit 1
fi
echo "[-] Hardware acknowledged rotation signal: ${BODY}"
echo "[3/4] Awaiting cellular radio reconnection (10-15s)..."
NEW_IP=""
MAX_RETRIES=15
RETRY_COUNT=0
while [ $RETRY_COUNT -lt $MAX_RETRIES ]; do
sleep 2
NEW_IP=$(curl -s --max-time 5 --proxy "http://${PROXY_USER}:${PROXY_PASS}@${PROXY_HOST}:${PROXY_PORT}" "https://api.ipify.org" || true)
if [ -n "$NEW_IP" ] && [ "$NEW_IP" != "$CURRENT_IP" ]; then
break
fi
RETRY_COUNT=$((RETRY_COUNT + 1))
echo "[-] Probing cellular interface... ($RETRY_COUNT/$MAX_RETRIES)"
done
if [ "$NEW_IP" == "$CURRENT_IP" ] || [ -z "$NEW_IP" ]; then
echo "[!] Critical Error: IP failed to rotate within timeout bounds."
exit 1
fi
echo "[4/4] Rotation Verified."
echo "[*] Previous IP: ${CURRENT_IP}"
echo "[*] New Fresh IP: ${NEW_IP}"
exit 07. Automated Workflows: Playwright & Puppeteer Integration
The following production scripts demonstrate how to attach browser automation engines to your antidetect browser profiles via remote debugging endpoints, route through dedicated 5G mobile proxies, and handle automated proxy rotation.
Node.js: Puppeteer with AdsPower Integration
/**
* Production AdsPower Profile Launch & Proxy Management
* Node.js Puppeteer Protocol
*/
const axios = require('axios');
const puppeteer = require('puppeteer-core');
const ADSPOWER_API = 'http://local.adspower.net:50325';
const PROXYM_API_KEY = 'prx_live_a89f923c89d2011b98ac';
const ASSIGNMENT_ID = 'asgn_fr_orange_004';
async function rotateProxymIP(assignmentId) {
console.log('[*] Triggering Proxym hardware cellular rotation...');
const res = await axios.post(
`https://api.proxym.io/api/proxies/${assignmentId}/rotate`,
{},
{ headers: { Authorization: `Bearer ${PROXYM_API_KEY}` } }
);
console.log(`[+] Rotation Status: ${res.data.status || 'Success'}`);
// Wait for modem baseband re-attachment
await new Promise((resolve) => setTimeout(resolve, 8000));
}
async function runSession(profileId) {
try {
// 1. Force hardware rotation before session start
await rotateProxymIP(ASSIGNMENT_ID);
// 2. Query AdsPower to start browser instance
console.log(`[*] Requesting launch of profile: ${profileId}`);
const launchUrl = `${ADSPOWER_API}/api/v1/user/start?user_id=${profileId}`;
const startRes = await axios.get(launchUrl);
if (startRes.data.code !== 0) {
throw new Error(`AdsPower API error: ${startRes.data.msg}`);
}
const { ws } = startRes.data.data;
console.log(`[+] Attaching Puppeteer to WebSocket: ${ws.puppeteer}`);
// 3. Connect Puppeteer to the isolated Chromium runtime
const browser = await puppeteer.connect({
browserWSEndpoint: ws.puppeteer,
defaultViewport: null,
});
const page = await browser.newPage();
await page.goto('https://www.instagram.com/', {
waitUntil: 'networkidle2',
timeout: 60000,
});
console.log(`[+] Page loaded: ${await page.title()}`);
// Perform operational actions here (Warmup, Feed engagement)
await page.waitForTimeout(5000);
// 4. Teardown
await browser.disconnect();
await axios.get(`${ADSPOWER_API}/api/v1/user/stop?user_id=${profileId}`);
console.log(`[+] Session closed successfully for profile ${profileId}`);
} catch (err) {
console.error(`[!] Runtime Failure: ${err.message}`);
process.exit(1);
}
}
// Execute with Profile ID
runSession('user_profile_019');Python: Playwright Stealth with Dedicated SOCKS5 Mobile Proxy
"""
Python Playwright Multi-Account Orchestration Engine
Direct Mobile Proxy Injection with Fingerprint Shielding
"""
import asyncio
import time
import requests
from playwright.