02-04-26, 08:24 PM
Hello everyone.
Offering a dataset originating from https://www.ingatlan.com. It provides a detailed look at the organization's operations, including Contacts, Property Inquiries, Property Offers. 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
Primary customer and contact information for leads and clients
contact_id, email_address, phone_number, fax_number, mobile_number, website_url, is_public_profile, record_id, created_at, created_by, modified_at, modified_by, lead_source, contact_status, preferred_language, region_code, account_tier, industry_segment, last_contacted_date, next_followup_date, marketing_opt_in, contact_owner_id, email_verified, phone_verified, tags, secondary_email, contact_type, department, salutation, job_title, time_zone, timezone_offset, do_not_contact
2. Property Inquiries
Records of customer inquiries made on properties listed on ingatlan.com
contact_id, inquiry_email, inquiry_phone, inquiry_mobile, property_url, inquiry_id, created_at, created_by, modified_at, modified_by, property_id, inquiry_status, inquiry_channel, assigned_agent_id, response_due_date, last_response_date, inquiry_priority, remarks, preferred_contact_method, region_code, customer_rating, source_campaign, property_type, budget_range, desired_move_in_date, lead_score, contact_time_preference, followup_attempts, do_not_contact, marketing_opt_in
3. Property Offers
Offers and negotiations made by customers for listed properties
contact_id, offer_email, offer_phone, offer_mobile, offer_id, property_id, created_at, created_by, modified_at, modified_by, offer_amount, offer_currency, offer_status, negotiation_stage, offer_expiration_date, accepted_date, rejected_date, counter_offer_amount, agent_id, payment_terms, deposit_amount, closing_date, legal_representative, customer_comments, internal_notes, region_code, offer_source, priority_flag, followup_action, marketing_opt_in
Sample URLs (snippets of the data): https://gofile.io/d/2h19Db, https://gofile.io/d/0iISL6, https://gofile.io/d/AkJ49g
Why This Data is Valuable:
· Covers Contacts, Property Inquiries, Property Offers.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1300
Contact & Transaction:
For inquiries or to purchase, please contact @triped1 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.ingatlan.com. It provides a detailed look at the organization's operations, including Contacts, Property Inquiries, Property Offers. 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
Primary customer and contact information for leads and clients
contact_id, email_address, phone_number, fax_number, mobile_number, website_url, is_public_profile, record_id, created_at, created_by, modified_at, modified_by, lead_source, contact_status, preferred_language, region_code, account_tier, industry_segment, last_contacted_date, next_followup_date, marketing_opt_in, contact_owner_id, email_verified, phone_verified, tags, secondary_email, contact_type, department, salutation, job_title, time_zone, timezone_offset, do_not_contact
2. Property Inquiries
Records of customer inquiries made on properties listed on ingatlan.com
contact_id, inquiry_email, inquiry_phone, inquiry_mobile, property_url, inquiry_id, created_at, created_by, modified_at, modified_by, property_id, inquiry_status, inquiry_channel, assigned_agent_id, response_due_date, last_response_date, inquiry_priority, remarks, preferred_contact_method, region_code, customer_rating, source_campaign, property_type, budget_range, desired_move_in_date, lead_score, contact_time_preference, followup_attempts, do_not_contact, marketing_opt_in
3. Property Offers
Offers and negotiations made by customers for listed properties
contact_id, offer_email, offer_phone, offer_mobile, offer_id, property_id, created_at, created_by, modified_at, modified_by, offer_amount, offer_currency, offer_status, negotiation_stage, offer_expiration_date, accepted_date, rejected_date, counter_offer_amount, agent_id, payment_terms, deposit_amount, closing_date, legal_representative, customer_comments, internal_notes, region_code, offer_source, priority_flag, followup_action, marketing_opt_in
Sample URLs (snippets of the data): https://gofile.io/d/2h19Db, https://gofile.io/d/0iISL6, https://gofile.io/d/AkJ49g
Why This Data is Valuable:
· Covers Contacts, Property Inquiries, Property Offers.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1300
Contact & Transaction:
For inquiries or to purchase, please contact @triped1 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.
Ban reason: selling in database section (Permanent)