Dataspana

Market research datasets from public web sources

Research teams need reproducible samples: competitors, pricing, reviews, hiring signals and narratives across the web. Dataspana helps you collect those datasets in a consistent tabular format.

Combine this playbook with LinkedIn export to CSV, Google Maps business listings, and Google Search / SERP exports when you need multi-source coverage. For unit economics, use the cost per lead calculator and the web scraping ROI calculator before you scale spend.

Workflow

  1. Define the platform and inputs (URLs, searches, categories)
  2. Run extraction jobs on a schedule that matches your project
  3. Analyze in Excel/Sheets, BI tools or Python notebooks

FAQ

Is this only for marketers?
No — analysts, PMs, founders and ops teams use Dataspana when they need structured web data without engineering overhead.
Can I combine multiple sources?
Many teams run separate jobs per source and join datasets using keys like domain, company name or handle — depending on the workflow.
Do you store my exports?
Job history exists for operational convenience; treat exports like sensitive business data and apply your retention policies.