Replacing Shopify Spy or Koala? Judge the Exported File First
Compare the documented workflows of Catalog Prep, Shopify Spy and Koala, then test the exported files on the same collection and task.
You installed a Shopify research tool to get product data into a spreadsheet. If you still spend the afternoon finding missing options or repairing identifiers, the feature list has stopped helping.
That is the problem I am building Catalog Prep around. My experience with the output from existing Shopify exporters left me dissatisfied. I want the file to carry enough product detail and source context to be useful when it opens.
If Shopify Spy or Koala is leaving you with an export to rescue, use a small real task to evaluate the replacement. Here is the comparison I recommend.
Give every exporter the same job
Choose one public collection, save its exact URL, and export it near the same time with the tools you are considering. Pick a collection small enough to inspect and within each product's limits.
Do not compare one tool's collection output with another tool's whole-store output. Keep original files before editing them. Then select a product with several options and follow it through each export.
An export tool should earn its place in the file. More dashboard panels do not repair a missing variant.
Know which product you are replacing
Shopify Scraper & Parser — Shopify Spy advertises CSV/XLSX product exports, collection filtering, single-product downloads, image downloads, and an undocked scraping workflow.
Koala Inspector advertises broader store research, including app/theme discovery, estimated sales and traffic, monitoring, and CSV exports. Its estimates are not verified merchant measurements.
Those are the publishers' advertised workflows, checked on 31 October 2026. This article is a founder's evaluation guide, not a controlled benchmark showing that either tool fails on a particular store. I have not established a specific competing version's missing rows or incorrect values here.
Check the part you will actually use
| Your next task | What to inspect in every file |
|---|---|
| Review a supplier's options | Product identities, returned variant identities, and parent relationships |
| Match a source SKU | Literal text, including leading zeros, and missing/reused values |
| Review the product gallery | Image references and product associations |
| Compare prices | Source amount, currency evidence, and observation time |
| Explain an apparent gap | Exact scope, limits, stopping condition, and capture status |
For an illustrative example, 00042 becoming 42 is a changed identifier even if the spreadsheet looks cleaner. A gallery URL attached to the wrong product is still the wrong reference. A collection capture does not become a whole-store archive because the download completed.
These checks give you an acceptance standard before you choose the next tool.
What Catalog Prep puts in your hands
Catalog Prep runs on the public storefront you select in Chrome. Choose the website, current collection/product, or another discovered collection; capture it with the popup open; preview the products; and download the files locally.
Its ZIP includes exact CSV, a text-typed Excel workbook, image links, normalized product data, and a coverage manifest. Missing source fields stay unknown, and partial results remain qualified.
The narrower focus has tradeoffs. Catalog Prep exports image links rather than image files. It does not provide sales estimates or background monitoring. Pro has no fixed product or variant cap per run, while Free captures use the remaining monthly allowance. Browser memory, storage and source access still affect capture coverage. A source-data export still needs review and destination mapping before native Shopify import.
If your task requires those other capabilities, keep them in the decision rather than assuming every tool does the same job.
Make the replacement prove itself on your collection
Free includes 100 captured products per UTC month in the browser profile; Pro removes that monthly quota and the fixed per-run product and variant caps. Check current terms in the listing.
Install Catalog Prep, capture the same small collection, and use the export acceptance worksheet.
Record what matched, what was missing, and what needed cleanup. Keep the exporter whose output meets your requirements. That is a stronger decision than trading one long feature list for another.