Loox Reviews Scraper

Scrape Loox product reviews into a structured dataset for ecommerce analysis, monitoring, and export workflows.

Actor: https://apify.com/fetchcraftlabs/loox-reviews-scraper

Last reviewed: April 21, 2026.

Quick answer

Use this actor when you need Loox review data outside the storefront UI. It is built for collecting ratings, review text, reviewer information, photos, and timestamps in a dataset that can be analyzed or reused downstream.

At a glance:

Input: actor run configuration on the Apify listing.
Output: structured Loox review records.
Best for: review monitoring, product research, social proof analysis, and export workflows.
Not ideal for: manual spot checks or workflows that require moderation actions rather than extraction.

What it does

The actor extracts Loox review content, including ratings, text, photos, reviewer details, and timestamps. That makes it useful when your team needs review content as data instead of as isolated storefront widgets.

Who this is for

Ecommerce teams: monitor product feedback and review quality.
Analysts: export review content into spreadsheets or dashboards.
Researchers: compare review themes across products or stores.
Automation teams: move review records into reporting or alerting systems.

Common use cases

Build review-monitoring dashboards.
Analyze review themes and star-rating distribution.
Export UGC-like review records for moderation or reporting workflows.
Compare product review signals across multiple storefronts.

Why this actor is useful

Review widgets are easy to read and hard to analyze at scale. This actor helps turn storefront review content into structured records that can be queried, filtered, and archived.

When to use it vs. when not to

Use this actor when:

You need Loox review data outside the storefront interface.
You want repeatable exports rather than manual copy/paste.
You plan to analyze reviews, reviewer info, or attached photos downstream.

Look for another workflow when:

You only need a quick manual look at a small number of reviews.
You need direct moderation actions instead of extraction.
Your workflow depends on data outside the actor's published scope.

Limitations and notes

This page is based on the repository description and actor positioning, not a live field-by-field schema dump.
If your workflow depends on exact field names or photo availability, validate with a small test run first.
Review availability and structure may vary across storefront implementations.

FAQ

Does this include review photos?

The actor is positioned to extract review photos along with ratings, text, reviewer information, and timestamps. Validate the exact schema on a small run before production use.

Is this useful for product research?

Yes. It is a good fit when teams want to analyze recurring praise, complaints, and rating patterns across products.

What should I test first?

Test a representative storefront and confirm the field set, record volume, and any media fields your downstream system expects.

Need app review data instead? See Playstore Reviews Scraper.
Browse more actor pages on /blogs.
Need help with a custom workflow? Use the contact page.

Next steps

Run a smaller export and inspect the schema.
Map the output to your analysis or monitoring workflow.
Re-check the live actor page before larger recurring jobs.

Loox Reviews Scraper: Export product reviews, ratings, and photos into structured data