tidyfeed

I build small, dependable data tools for e-commerce, media and app teams.

The focus is narrow on purpose: read what a site already publishes, clean it up, and hand back a table you can paste straight into a spreadsheet. No half-parsed HTML, no columns you have to fix by hand, and nothing estimated — every figure comes from data the site publishes itself.

Shopify — start wide, then go deep

• Shopify Store Report — profile any store in one row: catalog size, price range, current discounts, stock depth, launches in the last 30 days.
• Shopify Collections — every collection with its real product count.
• Shopify Product Scraper — the full catalog with variants, prices, discount % and stock.
• Shopify Best Sellers — the bestseller list in the store's own order, even when it is not at /best-sellers.
• Shopify New Arrivals — what a list of brands launched in the last N days.
• Shopify Blog Tracker — what they publish on their blogs, with the real article count.

Newsletters, apps and channels

• Substack Scraper — every post with likes, comments, word count and paywall status, or one summary row per newsletter. Custom domains included.
• App Store Reviews Scraper — every review Apple serves for an app in any country's store, or one summary row per app and country.
• Telegram Channel Scraper — posts from any public channel with views, reactions and media, or one summary row per channel with subscribers and cadence.

All nine read only public data. No API key, no login, no proxies.

Found a site that behaves oddly? Open an issue on the actor — issues are read and answered.