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I scraped and organized 50k Shopify stores into a dataset

by nazbasho·Mar 17, 2026·2 points·2 comments
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AI Analysis

●MidShip It

Yet another scraped store database competing with BuiltWith and SimilarWeb.

Strengths
  • •50k stores is a meaningful sample size for outreach campaigns
  • •Pre-cleaned CSV saves time versus building your own scraper
Weaknesses
  • •No technical differentiation from existing lead databases
  • •Email deliverability and legal compliance concerns unaddressed
Category
Data
Target Audience

SaaS founders, marketing agencies, sales teams doing ecommerce outreach

Similar To

BuiltWith · SimilarWeb · Apollo.io

Post Description

I was building an outreach list for a SaaS product targeting ecommerce stores and ended up scraping and organizing a large dataset of Shopify stores.

The dataset includes 50,000+ Shopify stores with:

- store domains - business names - niche categories - publicly available business emails

Originally this was just for internal use, but I cleaned it up and turned it into a structured CSV database. It might be useful for founders building tools for ecommerce, agencies doing outreach, or anyone researching Shopify stores. Curious to hear feedback from the HN community.

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