Singapore & Indonesia Enterprise Dataset
Budget: $10 – $2,000 USD
I’m putting together a market analysis that spans every major industry in Singapore and Indonesia, and I need a fresh, reliable dataset of enterprises to anchor the work. The only fields I require for each company are the legal company name and a valid corporate-level email address—no generic “info@” or “sales@” accounts, please.
Coverage must be broad: technology, healthcare, retail, finance, logistics, manufacturing—essentially any sector that operates at an enterprise scale in either country. I’m aiming for depth rather than a capped record count, so include as many distinct companies as your sources allow while keeping data quality high.
Deliverables
• A single CSV or XLSX file containing two columns: Company Name and Corporate Email
• Data split or clearly tagged by country (SG / ID)
• Emails verified within the past 30 days to minimize bounce risk
I will run a random sample through an email verifier on receipt; records that hard-bounce or belong to free email domains will be sent back for correction. If you already have an internal process or preferred toolset for verification—Hunter, NeverBounce, Zerobounce, etc.—mention it when you bid so I know what to expect.
Let me know your estimated timeline for gathering and cleaning the data, and feel free to outline any additional attributes you can reliably include beyond the two required fields; I’m open to expanding the scope if the data integrity is strong.
Coverage must be broad: technology, healthcare, retail, finance, logistics, manufacturing—essentially any sector that operates at an enterprise scale in either country. I’m aiming for depth rather than a capped record count, so include as many distinct companies as your sources allow while keeping data quality high.
Deliverables
• A single CSV or XLSX file containing two columns: Company Name and Corporate Email
• Data split or clearly tagged by country (SG / ID)
• Emails verified within the past 30 days to minimize bounce risk
I will run a random sample through an email verifier on receipt; records that hard-bounce or belong to free email domains will be sent back for correction. If you already have an internal process or preferred toolset for verification—Hunter, NeverBounce, Zerobounce, etc.—mention it when you bid so I know what to expect.
Let me know your estimated timeline for gathering and cleaning the data, and feel free to outline any additional attributes you can reliably include beyond the two required fields; I’m open to expanding the scope if the data integrity is strong.