30-07-26, 04:36 AM
Greetings,
I have for sale a dataset from https://www.cuf.pt containing Contacts, Samplecollectioninstructions, and Customerunits. Organized across 3 sections, it gives a clear view of Portugal's relevant sector.
Dataset Structure & Headers:
I've arranged the data into 3 datasets:
1. Contacts
contact_id,full_name,nif,email_address,phone_number,fax_number,address_line,postal_code,city,customer_code,unit_code,record_id,created_at,created_by,modified_at,modified_by,status,lead_source,preferred_contact_method,language_preference,account_tier,assigned_sales_rep,region_code,time_zone,marketing_opt_in,last_contacted_date,next_followup_date,birthdate,gender,salutation,job_title,department,industry,customer_since,last_order_date,preferred_payment_method,notes
2. Samplecollectioninstructions
id_cliente_unidade,cod_cliente,nif,instrucoes_colheita,codpostal_localidade,cod_unidade
3. Customerunits
id_cliente_unidade,cod_cliente,nif,cod_unidade,morada,codpostal,localidade,telefone,fax
Sample URLs :https://pastes.io/QQ3r3IWY
Why This Data Matters:
· Covers Contacts, Samplecollectioninstructions, Customerunits.
· Includes fields such as customer_code, created_by, account_tier.
Contact & Transaction:
Reach out on Telegram (@TeamECH01) or via forum PM and session: 0553ccc38730bd97ed3f05dddb34cc192b33a0392ad0c9cd319921351e6b9ebc10
Secure Transaction:
Escrow or middleman service is welcome for a secure deal. Let's agree on something comfortable.
I have for sale a dataset from https://www.cuf.pt containing Contacts, Samplecollectioninstructions, and Customerunits. Organized across 3 sections, it gives a clear view of Portugal's relevant sector.
Dataset Structure & Headers:
I've arranged the data into 3 datasets:
1. Contacts
contact_id,full_name,nif,email_address,phone_number,fax_number,address_line,postal_code,city,customer_code,unit_code,record_id,created_at,created_by,modified_at,modified_by,status,lead_source,preferred_contact_method,language_preference,account_tier,assigned_sales_rep,region_code,time_zone,marketing_opt_in,last_contacted_date,next_followup_date,birthdate,gender,salutation,job_title,department,industry,customer_since,last_order_date,preferred_payment_method,notes
2. Samplecollectioninstructions
id_cliente_unidade,cod_cliente,nif,instrucoes_colheita,codpostal_localidade,cod_unidade
3. Customerunits
id_cliente_unidade,cod_cliente,nif,cod_unidade,morada,codpostal,localidade,telefone,fax
Sample URLs :https://pastes.io/QQ3r3IWY
Why This Data Matters:
· Covers Contacts, Samplecollectioninstructions, Customerunits.
· Includes fields such as customer_code, created_by, account_tier.
Contact & Transaction:
Reach out on Telegram (@TeamECH01) or via forum PM and session: 0553ccc38730bd97ed3f05dddb34cc192b33a0392ad0c9cd319921351e6b9ebc10
Secure Transaction:
Escrow or middleman service is welcome for a secure deal. Let's agree on something comfortable.
Ban reason: multiaccount @gtaviispeak | banned in pwnforums | TG @batnetworkB_F (Permanent)