Python Script for Bulk WHOIS Scraping
Budget: ₹12,500 – ₹37,500 INR
I'm in need of a Python script that can scrape WHOIS data from generic TLDs (like .com, .net) at a rate of 250K records daily. The script needs to be efficient, allowing for daily scraping of comprehensive WHOIS records.
Key requirements:
- The script should autonomously run on a daily schedule.
- It needs to extract every detail from both the Registrar and Registrant.
Ideal skills:
- Proficiency in Python, particularly in web scraping libraries and tools.
- Experience with WHOIS data and understanding of its structure.
- Ability to create efficient, high-speed scripts.
- Familiarity with setting up scripts to run on a schedule.
I need following details domainName , registrarName , contactEmail , whoisServer , nameServers , createdDate , updatedDate , expiresDate , standardRegCreatedDate , standardRegUpdatedDate , standardRegExpiresDate , status , Audit_auditUpdatedDate , registrant_email , registrant_name , registrant_organization , registrant_street1 , registrant_street2 , registrant_street3 , registrant_street4 , registrant_city , registrant_state , registrant_postalCode , registrant_country , registrant_fax , registrant_faxExt , registrant_telephone , registrant_telephoneExt , administrativeContact_email , administrativeContact_name , administrativeContact_organization , administrativeContact_street1 , administrativeContact_street2 , administrativeContact_street3 , administrativeContact_street4 , administrativeContact_city , administrativeContact_state , administrativeContact_postalCode , administrativeContact_country , administrativeContact_fax , administrativeContact_faxExt , administrativeContact_telephone , administrativeContact_telephoneExt Records etc
Your expertise will allow me to keep track of domain registrations and relevant information on a daily basis. Please ensure to bid only if you can deliver a high-speed, efficient script.
Key requirements:
- The script should autonomously run on a daily schedule.
- It needs to extract every detail from both the Registrar and Registrant.
Ideal skills:
- Proficiency in Python, particularly in web scraping libraries and tools.
- Experience with WHOIS data and understanding of its structure.
- Ability to create efficient, high-speed scripts.
- Familiarity with setting up scripts to run on a schedule.
I need following details domainName , registrarName , contactEmail , whoisServer , nameServers , createdDate , updatedDate , expiresDate , standardRegCreatedDate , standardRegUpdatedDate , standardRegExpiresDate , status , Audit_auditUpdatedDate , registrant_email , registrant_name , registrant_organization , registrant_street1 , registrant_street2 , registrant_street3 , registrant_street4 , registrant_city , registrant_state , registrant_postalCode , registrant_country , registrant_fax , registrant_faxExt , registrant_telephone , registrant_telephoneExt , administrativeContact_email , administrativeContact_name , administrativeContact_organization , administrativeContact_street1 , administrativeContact_street2 , administrativeContact_street3 , administrativeContact_street4 , administrativeContact_city , administrativeContact_state , administrativeContact_postalCode , administrativeContact_country , administrativeContact_fax , administrativeContact_faxExt , administrativeContact_telephone , administrativeContact_telephoneExt Records etc
Your expertise will allow me to keep track of domain registrations and relevant information on a daily basis. Please ensure to bid only if you can deliver a high-speed, efficient script.