Nick Rue · Full-stack freelancer
Service · Scraping and data

Scraping, cleanup and deduplication at scale

Outcome: Messy public or exported data turned into clean, deduplicated, matched records you can act on.

How it works

  1. Check each source is allowed and stable.
  2. Import raw data into staging.
  3. Normalize, dedupe and merge.
  4. Match to your existing records.
  5. Deliver to your CRM, sheet or database on a schedule.

Proof

3.36 M raw records cleaned to 1.39 M.

Want this for your business?

Tell me what you would change and I will scope it in a reply.

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