customer-deduplication

You can deduplicate customer records from multiple platforms by running a Python script on your JSON datasets. It applies name normalization, domain extraction, and similarity scoring to merge cross-platform lists into a single clean output.

Yes, you can merge customer lists using only Python 3.8+ standard library. The zero-dependency script runs locally without installing external packages, performing name normalization and similarity scoring on your JSON data.

Similarity scoring for merging CRM data uses weighted criteria including name, domain, email domain, and phone fields. The script applies configurable thresholds to evaluate these factors and identify duplicate customer records across JSON datasets.

The best way to clean a mixed JSON export is to run a local deduplication script that normalizes names and scores similarity across records. This generates a deduplicated customer list ready for your sales pipeline or CRM.

Yes, the deduplication script supports JSON customer datasets across platforms such as Facebook, LinkedIn, Instagram, and customs databases. It merges these varied data sources using standard library similarity scoring.

You need Python 3.8 or higher because the deduplication script relies on features within the Python standard library for name normalization, domain extraction, and similarity scoring. Older Python versions may lack these required standard library capabilities.