May 27, 2026, 02:29 AM
Hello everyone.
Offering a dataset originating from https://www.p. It provides a detailed look at the organization's operations, including Contacts, Support Tickets, Booking History. The data is fresh and organized across 3 main sections, useful for research, analysis, or understanding the structure of Taiwan's relevant sector.
Dataset Structure & Headers:
The data is organized into interconnected parts for practical use:
1. Contacts
Stores detailed customer and contact information
contact_id, full_name, email_address, phone_number, mobile_number, street_address, postal_code, company_name, last_ip_address, record_created_at, modified_at, modified_by, created_by, account_status, lead_source, region_code, preferred_language, birth_date, marketing_opt_in, contact_owner, industry, job_title, salutation, time_zone, customer_segmentation, last_activity_date, email_verified, mobile_verified, communication_preferences, client_priority_level, notes, linked_account_id, data_classification, external_system_id, record_version
2. Support Tickets
Tracks customer support requests and their statuses
ticket_id, contact_name, contact_email, issue_description, followup_description, ticket_created_at, last_updated_at, assigned_to, ticket_status, priority, category, sub_category, channel, sla_due_date, resolution_time, ticket_source, escalation_level, customer_satisfaction_score, resolution_notes, created_by, modified_at, modified_by, internal_comments, related_product_id, contact_phone, contact_mobile, region_code, department, issue_type, custom_fields, record_version, linked_account_id
3. Booking History
Records customer booking transactions and details
booking_id, customer_name, customer_email, contact_phone, service_address, service_postal_code, billing_company, booking_notes, booking_created_at, booking_status, service_type, assigned_employee_id, payment_status, payment_method, amount_paid, discount_code, invoice_number, region_code, service_date, service_time, duration_minutes, created_by, modified_at, modified_by, feedback_rating, feedback_comments, cancellation_reason, no_show_flag, reschedule_count, customer_priority, loyalty_points_earned, billing_address, record_version, linked_account_id
Sample URLs (snippets of the data): https://gofile.io/d/p6bgwE, https://gofile.io/d/PslRWy, https://gofile.io/d/4lOW47
Why This Data is Valuable:
· Covers Contacts, Support Tickets, Booking History.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1200 @funternetwork
Contact & Transaction:
For inquiries or to purchase, please contact @funternetwork on Telegram or via pm
Secure Transaction:
Forum escrow or trusted middlemen are always accepted to ensure a safe and secure transaction for both parties. We can discuss the most comfortable arrangement.
Offering a dataset originating from https://www.p. It provides a detailed look at the organization's operations, including Contacts, Support Tickets, Booking History. The data is fresh and organized across 3 main sections, useful for research, analysis, or understanding the structure of Taiwan's relevant sector.
Dataset Structure & Headers:
The data is organized into interconnected parts for practical use:
1. Contacts
Stores detailed customer and contact information
contact_id, full_name, email_address, phone_number, mobile_number, street_address, postal_code, company_name, last_ip_address, record_created_at, modified_at, modified_by, created_by, account_status, lead_source, region_code, preferred_language, birth_date, marketing_opt_in, contact_owner, industry, job_title, salutation, time_zone, customer_segmentation, last_activity_date, email_verified, mobile_verified, communication_preferences, client_priority_level, notes, linked_account_id, data_classification, external_system_id, record_version
2. Support Tickets
Tracks customer support requests and their statuses
ticket_id, contact_name, contact_email, issue_description, followup_description, ticket_created_at, last_updated_at, assigned_to, ticket_status, priority, category, sub_category, channel, sla_due_date, resolution_time, ticket_source, escalation_level, customer_satisfaction_score, resolution_notes, created_by, modified_at, modified_by, internal_comments, related_product_id, contact_phone, contact_mobile, region_code, department, issue_type, custom_fields, record_version, linked_account_id
3. Booking History
Records customer booking transactions and details
booking_id, customer_name, customer_email, contact_phone, service_address, service_postal_code, billing_company, booking_notes, booking_created_at, booking_status, service_type, assigned_employee_id, payment_status, payment_method, amount_paid, discount_code, invoice_number, region_code, service_date, service_time, duration_minutes, created_by, modified_at, modified_by, feedback_rating, feedback_comments, cancellation_reason, no_show_flag, reschedule_count, customer_priority, loyalty_points_earned, billing_address, record_version, linked_account_id
Sample URLs (snippets of the data): https://gofile.io/d/p6bgwE, https://gofile.io/d/PslRWy, https://gofile.io/d/4lOW47
Why This Data is Valuable:
· Covers Contacts, Support Tickets, Booking History.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1200 @funternetwork
Contact & Transaction:
For inquiries or to purchase, please contact @funternetwork on Telegram or via pm
Secure Transaction:
Forum escrow or trusted middlemen are always accepted to ensure a safe and secure transaction for both parties. We can discuss the most comfortable arrangement.