Mac Python VFS Booking Bot
Budget: $500 – $2,000 USD
Job Title: Build a Standalone Multi-Account VFS Booking Bot with GoLogin API & Virtual Camera Injection
Job Description
We are looking for an expert automation developer to build a complete, standalone booking bot for the VFS Global website from scratch. We have no existing server backend or infrastructure—this tool must be delivered as a fully functioning desktop application or ready-to-run local script environment that we can operate directly from our computer.
The bot must be designed to manage multiple distinct client data sheets and multiple unique VFS user accounts, running them concurrently across isolated browser windows.
Critical Requirements:
Bypassing the Strict Face Recognition Check: VFS requires a mandatory live webcam/selfie scan during booking. The bot must handle this autonomously using client video assets captured in advance. You must implement custom Chromium/browser launch arguments (such as --use-fake-device-for-media-stream and --use-file-for-fake-video-capture) to inject pre-recorded, raw client video files directly into the WebRTC camera stream. [1, 2]
Multi-Account & GoLogin Integration: The software must command GoLogin profiles via its Local REST API. Each client's VFS credentials and specific facial video file must be permanently mapped to their own unique GoLogin profile and dedicated residential proxy.
No Backend Required (File-Based Data): Since we do not have a server database, the software must read all input data (Client Names, VFS Logins, File Paths for Videos, Proxy Credentials) directly from a locally stored Excel spreadsheet or CSV file.
Anti-Bot Security Bypass: The bot must successfully navigate Cloudflare Turnstile, browser tracking, and anti-bot scripts on the VFS site. You must build natural human-like behaviors into the script: organic mouse paths, variable typing speeds, and randomized refresh delays.
Real-time Notifications: The bot must send immediate ping notifications via Telegram Bot API or WhatsApp API when a slot is successfully booked.
Language/Tech Stack Preference:
Open to either Node.js (JavaScript/Playwright/Puppeteer) or Python. Choose whichever stack allows for the most stable WebRTC video injection and Cloudflare bypass when integrated with GoLogin.
SMS in futute need to update the bot if necessary
Job Description
We are looking for an expert automation developer to build a complete, standalone booking bot for the VFS Global website from scratch. We have no existing server backend or infrastructure—this tool must be delivered as a fully functioning desktop application or ready-to-run local script environment that we can operate directly from our computer.
The bot must be designed to manage multiple distinct client data sheets and multiple unique VFS user accounts, running them concurrently across isolated browser windows.
Critical Requirements:
Bypassing the Strict Face Recognition Check: VFS requires a mandatory live webcam/selfie scan during booking. The bot must handle this autonomously using client video assets captured in advance. You must implement custom Chromium/browser launch arguments (such as --use-fake-device-for-media-stream and --use-file-for-fake-video-capture) to inject pre-recorded, raw client video files directly into the WebRTC camera stream. [1, 2]
Multi-Account & GoLogin Integration: The software must command GoLogin profiles via its Local REST API. Each client's VFS credentials and specific facial video file must be permanently mapped to their own unique GoLogin profile and dedicated residential proxy.
No Backend Required (File-Based Data): Since we do not have a server database, the software must read all input data (Client Names, VFS Logins, File Paths for Videos, Proxy Credentials) directly from a locally stored Excel spreadsheet or CSV file.
Anti-Bot Security Bypass: The bot must successfully navigate Cloudflare Turnstile, browser tracking, and anti-bot scripts on the VFS site. You must build natural human-like behaviors into the script: organic mouse paths, variable typing speeds, and randomized refresh delays.
Real-time Notifications: The bot must send immediate ping notifications via Telegram Bot API or WhatsApp API when a slot is successfully booked.
Language/Tech Stack Preference:
Open to either Node.js (JavaScript/Playwright/Puppeteer) or Python. Choose whichever stack allows for the most stable WebRTC video injection and Cloudflare bypass when integrated with GoLogin.
SMS in futute need to update the bot if necessary
Related categories:
PHP
Python
Software Architecture
Mac OS
Node.js
Automation
API Integration
WebRTC
Telegram API
Desktop Application