May 24, 2026, 08:18 PM
Hello everyone.
Offering a dataset originating from https://www.digi.hu. It provides a detailed look at the organization's operations, including Contacts, Support Tickets, Order Records. The data is fresh and organized across 3 main sections, useful for research, analysis, or understanding the structure of Hungary's relevant sector.
Dataset Structure & Headers:
The data is organized into interconnected parts for practical use:
1. Contacts
Master contact information for customers and leads
contact_id, fax_number, email_address, phone_number, website_url, mobile_phone_number, is_public_contact, record_id, account_id, first_name, last_name, job_title, department, lead_source, preferred_contact_method, language, region_code, created_at, created_by, modified_at, modified_by, status, do_not_contact, email_opt_in, email_verified, linkedin_profile, twitter_handle, skype_id, time_zone, customer_priority, last_contacted_at, membership_level, notes
2. Support Tickets
Customer support and service requests records
contact_id, contact_email, contact_phone, contact_mobile_phone, ticket_id, case_number, created_at, created_by, modified_at, modified_by, priority, status, issue_category, issue_subcategory, assigned_to, resolution_due_date, resolution_date, channel, customer_satisfaction_score, response_time_minutes, resolution_notes, escalation_level, sla_agreement_id, related_product_id, contact_type, region_code, last_updated_by, ticket_source, support_plan_level, internal_comments
3. Order Records
Records of customer orders and transactions
contact_id, customer_email, customer_phone, order_id, order_number, order_date, order_status, payment_status, payment_method, total_amount, currency, shipment_tracking_number, shipment_carrier, shipped_date, delivery_date, billing_address_line1, billing_address_line2, billing_city, billing_state, billing_postal_code, billing_country, shipping_address_line1, shipping_address_line2, shipping_city, shipping_state, shipping_postal_code, shipping_country, created_at, created_by, modified_at, modified_by, region_code, sales_channel, discount_code_used, account_tier
Sample URLs (snippets of the data): https://gofile.io/d/ndzghp, https://gofile.io/d/qGuWgy, https://gofile.io/d/z7Iaqx
Why This Data is Valuable:
· Covers Contacts, Support Tickets, Order Records.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $900
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.digi.hu. It provides a detailed look at the organization's operations, including Contacts, Support Tickets, Order Records. The data is fresh and organized across 3 main sections, useful for research, analysis, or understanding the structure of Hungary's relevant sector.
Dataset Structure & Headers:
The data is organized into interconnected parts for practical use:
1. Contacts
Master contact information for customers and leads
contact_id, fax_number, email_address, phone_number, website_url, mobile_phone_number, is_public_contact, record_id, account_id, first_name, last_name, job_title, department, lead_source, preferred_contact_method, language, region_code, created_at, created_by, modified_at, modified_by, status, do_not_contact, email_opt_in, email_verified, linkedin_profile, twitter_handle, skype_id, time_zone, customer_priority, last_contacted_at, membership_level, notes
2. Support Tickets
Customer support and service requests records
contact_id, contact_email, contact_phone, contact_mobile_phone, ticket_id, case_number, created_at, created_by, modified_at, modified_by, priority, status, issue_category, issue_subcategory, assigned_to, resolution_due_date, resolution_date, channel, customer_satisfaction_score, response_time_minutes, resolution_notes, escalation_level, sla_agreement_id, related_product_id, contact_type, region_code, last_updated_by, ticket_source, support_plan_level, internal_comments
3. Order Records
Records of customer orders and transactions
contact_id, customer_email, customer_phone, order_id, order_number, order_date, order_status, payment_status, payment_method, total_amount, currency, shipment_tracking_number, shipment_carrier, shipped_date, delivery_date, billing_address_line1, billing_address_line2, billing_city, billing_state, billing_postal_code, billing_country, shipping_address_line1, shipping_address_line2, shipping_city, shipping_state, shipping_postal_code, shipping_country, created_at, created_by, modified_at, modified_by, region_code, sales_channel, discount_code_used, account_tier
Sample URLs (snippets of the data): https://gofile.io/d/ndzghp, https://gofile.io/d/qGuWgy, https://gofile.io/d/z7Iaqx
Why This Data is Valuable:
· Covers Contacts, Support Tickets, Order Records.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $900
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.
