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Sephora Product Review Insights

Gather and analyze customer reviews for any Sephora product. This task extracts up to 100 detailed reviews and ratings from your specified product URL, offering insights into product sentiment and customer experiences. Use this data for informed decision-making in beauty e-commerce.

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Sephora Reviews Scraper
Sephora Reviews Scrapershahidirfan/sephora-reviews-scraper
Review ID
Product ID
Product Title
Reviewer Name
+11 fields
Text
Number
Boolean
List
Object

Input

Product URL:https://www.sephora.com/product/kayali-yum-boujee-marshmallow-81-eau-de-parfum-intense-P512856?skuId=2804821&icid2=products%20grid:p512856:product
Maximum number of reviews:100
Maximum number of pages:10

Output fields

Review ID
Product ID
Product Title
Reviewer Name
Rating
Review Title
Review Text
Is Recommended
Submission Time
Helpful Votes
Verified Purchaser
Skin Type
Skin Tone
Product URL
Scraped At

How it works

Sign up on Apify or log in

The Sephora Reviews Scraper Actor is ready to run with the inputs already set for "Sephora Product Review Insights". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Sephora Product Review Insights" task

The Sephora Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like product url, maximum number of reviews, and more, to match your specific use case.

Receive the "Sephora Product Review Insights" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as review id, product id, product title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Sephora Product Review Insights" task via API.

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Integrate "Sephora Product Review Insights" into your workflow

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