28-08-26, 12:14 PM
Good evening,
Selling a dataset from https://www.easybooking.eu that comprises Customercontact, Accommodationlisting, and Bookinghistory. Organized in 3 parts, it's great for research into Austria.
Dataset Structure & Headers:
The dataset is broken down into 3 clear sections:
1. Customercontact
Core customer and contact information for accommodation providers
contact_id, account_name, primary_email, primary_phone, fax_number, street_address, city, website_url, company_logo_url, is_active, account_representative, record_id, created_at, created_by, modified_at, modified_by, account_tier, industry, region_code, lead_source, customer_since, preferred_language, timezone, last_contacted_at, segment, number_of_employees, annual_revenue, notes, marketing_opt_in, sla_plan, account_status, last_activity_date, preferred_contact_method, data_compliance_status, external_system_id, crm_owner, preferred_currency, next_followup_date
2. Accommodationlisting
Details of properties and accommodations offered by customers
listing_id, account_id, total_beds, number_of_apartments, property_type, property_address, property_city, geo_coordinates, booking_page_url, holiday_check_rating_url, guest_management_url, send_invoice_flag, last_invoice_date, is_active_listing, record_id, created_at, created_by, modified_at, modified_by, listing_status, availability_status, average_rating, reviews_count, last_booking_date, cleaning_schedule, maintenance_notes, max_occupancy, cancellation_policy, pricing_tier, currency, listing_language, legal_compliance_status, insurance_policy_number, contract_start_date, contract_end_date, compliance_notes, photo_gallery_url, crm_owner, region_code, preferred_contact_time
3. Bookinghistory
Historical booking records linked to customers’ accommodation listings
booking_id, account_id, booking_date, invoice_sent_flag, invoice_date, booking_reference_url, is_active_booking, record_id, created_at, created_by, modified_at, modified_by, booking_status, payment_status, payment_method, total_amount, currency, number_of_guests, check_in_date, check_out_date, special_requests, cancellation_date, cancellation_reason, refund_status, refund_amount, booking_source, customer_feedback_rating, customer_feedback_comments, crm_owner, region_code, booking_channel, last_modified_reason, internal_notes, commission_percentage
Sample URLs (snippets of the data): https://gofile.io/d/BH2py8, https://gofile.io/d/4PzLDY, https://gofile.io/d/CcOX6A
Reasons This Dataset is Worthwhile:
· Covers Customercontact, Accommodationlisting, Bookinghistory.
· Includes fields such as annual_revenue, modified_by, data_compliance_status.
Price: $1200 Negotiable – contact me
Contact & Transaction:
Message @ienom on Telegram or DM for transactions.
Secure Transaction:
We can use escrow or any trusted middleman for a safe exchange. I'm flexible.
Regards,
Selling a dataset from https://www.easybooking.eu that comprises Customercontact, Accommodationlisting, and Bookinghistory. Organized in 3 parts, it's great for research into Austria.
Dataset Structure & Headers:
The dataset is broken down into 3 clear sections:
1. Customercontact
Core customer and contact information for accommodation providers
contact_id, account_name, primary_email, primary_phone, fax_number, street_address, city, website_url, company_logo_url, is_active, account_representative, record_id, created_at, created_by, modified_at, modified_by, account_tier, industry, region_code, lead_source, customer_since, preferred_language, timezone, last_contacted_at, segment, number_of_employees, annual_revenue, notes, marketing_opt_in, sla_plan, account_status, last_activity_date, preferred_contact_method, data_compliance_status, external_system_id, crm_owner, preferred_currency, next_followup_date
2. Accommodationlisting
Details of properties and accommodations offered by customers
listing_id, account_id, total_beds, number_of_apartments, property_type, property_address, property_city, geo_coordinates, booking_page_url, holiday_check_rating_url, guest_management_url, send_invoice_flag, last_invoice_date, is_active_listing, record_id, created_at, created_by, modified_at, modified_by, listing_status, availability_status, average_rating, reviews_count, last_booking_date, cleaning_schedule, maintenance_notes, max_occupancy, cancellation_policy, pricing_tier, currency, listing_language, legal_compliance_status, insurance_policy_number, contract_start_date, contract_end_date, compliance_notes, photo_gallery_url, crm_owner, region_code, preferred_contact_time
3. Bookinghistory
Historical booking records linked to customers’ accommodation listings
booking_id, account_id, booking_date, invoice_sent_flag, invoice_date, booking_reference_url, is_active_booking, record_id, created_at, created_by, modified_at, modified_by, booking_status, payment_status, payment_method, total_amount, currency, number_of_guests, check_in_date, check_out_date, special_requests, cancellation_date, cancellation_reason, refund_status, refund_amount, booking_source, customer_feedback_rating, customer_feedback_comments, crm_owner, region_code, booking_channel, last_modified_reason, internal_notes, commission_percentage
Sample URLs (snippets of the data): https://gofile.io/d/BH2py8, https://gofile.io/d/4PzLDY, https://gofile.io/d/CcOX6A
Reasons This Dataset is Worthwhile:
· Covers Customercontact, Accommodationlisting, Bookinghistory.
· Includes fields such as annual_revenue, modified_by, data_compliance_status.
Price: $1200 Negotiable – contact me
Contact & Transaction:
Message @ienom on Telegram or DM for transactions.
Secure Transaction:
We can use escrow or any trusted middleman for a safe exchange. I'm flexible.
Regards,
Ban reason: selling in databases forum (Permanent)
