Automated Visa Appointment Booking System
Budget: $200 – $1,000 USD
VFS Visa Appointment Automation System
For clients in Turkey-
Project Overview
We are seeking an experienced developer to design and build a scalable, secure, and fully automated web application that monitors VFS Global visa appointment availability and automatically books the earliest available slot.
The system will be used by multiple agencies and applicants, and must operate reliably under anti-bot measures and rate-limiting constraints.
Core Objectives
The system should be capable of:
Continuously monitoring VFS Global appointment calendars
Detecting newly available slots in real time (or near real time)
Automatically booking the earliest available appointment
Simulating human-like behavior to minimize detection risk
Supporting multiple agencies, users, and applicant profiles
Maintaining a modular, scalable, and well-documented architecture
Technical Requirements
Web-based application (Python required)
Preferably built with Playwright (Selenium acceptable)
Fully containerized using Docker
Linux-based deployment
Headless-first architecture
Optional VNC/Docker VNC access for debugging and monitoring
Clean, modular, and well-documented codebase
User Roles & Access Control
Admin Panel
Role-based access control (RBAC)
Create and manage agency accounts
System-wide configuration and monitoring
Agency Users
Manage multiple applicants
Support different visa types and applicant profiles
Trigger automated booking jobs using saved data
Automation & Intelligent Behavior
Periodic and automated appointment checking
Ability to maintain active sessions during high-demand periods
Instant booking upon slot availability
Human-like interaction features:
Mouse movement simulation
Typing delays and behavioral patterns
Randomized wait intervals
Optional virtual keyboard usage
Browser fingerprint and session isolation
Session & Proxy Management
Secure, isolated browser contexts
Multiple concurrent sessions without conflicts
Proxy rotation and fallback strategies
Proxy list management via admin panel
Security & Stability
Strong exception handling and auto-recovery mechanisms
Protection against account bans (rate limiting, randomized behavior)
Retry logic with alternative profiles
Resilience against portal UI/DOM changes
Client & Appointment Management
The system should include a structured module to manage client information and appointment details in a clear and organized manner.
Appointment Information & Dashboard
The system must store and display detailed appointment data for each client, including:
Appointment date and time
Application center (location)
Visa category/type
Booking status (Pending, Booked, Failed, Cancelled)
View client statuses in real time
Filter by visa type, country, or booking status
Monitor booking progress efficiently
Logging & Notifications
Detailed logs for:
System activity
Booking attempts
Successful reservations
Portal availability status
Notification channels:
Email
Telegram
Configuration & Extensibility
User-friendly configuration system
Support for multiple visa types and applicant profiles
Extensible architecture for:
Additional notification channels
External CRM integrations (optional)
Custom automation rules
Development Approach
Third-Party Services
No mandatory third-party paid services If any external services are required, they must be clearly stated and justified
Important Notes for Applicants
Please include in your application: Examples of similar automation, booking, or scraping projects Technologies you used in those projects Your proposed technical approach Estimated timeline and milestones This project will be developed milestone-based, starting with a Proof of Concept (PoC).
For clients in Turkey-
Project Overview
We are seeking an experienced developer to design and build a scalable, secure, and fully automated web application that monitors VFS Global visa appointment availability and automatically books the earliest available slot.
The system will be used by multiple agencies and applicants, and must operate reliably under anti-bot measures and rate-limiting constraints.
Core Objectives
The system should be capable of:
Continuously monitoring VFS Global appointment calendars
Detecting newly available slots in real time (or near real time)
Automatically booking the earliest available appointment
Simulating human-like behavior to minimize detection risk
Supporting multiple agencies, users, and applicant profiles
Maintaining a modular, scalable, and well-documented architecture
Technical Requirements
Web-based application (Python required)
Preferably built with Playwright (Selenium acceptable)
Fully containerized using Docker
Linux-based deployment
Headless-first architecture
Optional VNC/Docker VNC access for debugging and monitoring
Clean, modular, and well-documented codebase
User Roles & Access Control
Admin Panel
Role-based access control (RBAC)
Create and manage agency accounts
System-wide configuration and monitoring
Agency Users
Manage multiple applicants
Support different visa types and applicant profiles
Trigger automated booking jobs using saved data
Automation & Intelligent Behavior
Periodic and automated appointment checking
Ability to maintain active sessions during high-demand periods
Instant booking upon slot availability
Human-like interaction features:
Mouse movement simulation
Typing delays and behavioral patterns
Randomized wait intervals
Optional virtual keyboard usage
Browser fingerprint and session isolation
Session & Proxy Management
Secure, isolated browser contexts
Multiple concurrent sessions without conflicts
Proxy rotation and fallback strategies
Proxy list management via admin panel
Security & Stability
Strong exception handling and auto-recovery mechanisms
Protection against account bans (rate limiting, randomized behavior)
Retry logic with alternative profiles
Resilience against portal UI/DOM changes
Client & Appointment Management
The system should include a structured module to manage client information and appointment details in a clear and organized manner.
Appointment Information & Dashboard
The system must store and display detailed appointment data for each client, including:
Appointment date and time
Application center (location)
Visa category/type
Booking status (Pending, Booked, Failed, Cancelled)
View client statuses in real time
Filter by visa type, country, or booking status
Monitor booking progress efficiently
Logging & Notifications
Detailed logs for:
System activity
Booking attempts
Successful reservations
Portal availability status
Notification channels:
Telegram
Configuration & Extensibility
User-friendly configuration system
Support for multiple visa types and applicant profiles
Extensible architecture for:
Additional notification channels
External CRM integrations (optional)
Custom automation rules
Development Approach
Third-Party Services
No mandatory third-party paid services If any external services are required, they must be clearly stated and justified
Important Notes for Applicants
Please include in your application: Examples of similar automation, booking, or scraping projects Technologies you used in those projects Your proposed technical approach Estimated timeline and milestones This project will be developed milestone-based, starting with a Proof of Concept (PoC).
Related categories:
Python
Web Scraping
Docker
Web Development
Documentation
Selenium
Automation
Database Management
API Development
Telegram API