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Product Review Mining — eMAG Customer Feedback
Created by
Scraping Crew
Build a review corpus for sentiment analysis and product research. Collects customer reviews attached to each television listing alongside the product record. Review collection is a paid-plan feature and is billed per review collected, so this task carries a per-run spend cap; on a free plan the run returns the catalog without reviews.
eMag Product & Offers Scraperscraping_crew/emag-product-and-offers
Image
Name
Brand
SKU
+13 fieldsTextNumberBooleanListObject
Input
Start URLs(required)
url:https://www.emag.bg/televizori/c
Extract all reviews per product:true
Max items:100
Output fields
Image
Name
Brand
SKU
Price
Old Price
Offers
Category
Product URL
Listing URL
EAN
Part Numbers
Rating
Genius
Genius Only
Black Friday Price
Reviews
Sign up on Apify01
Create your Apify account to access the eMag Product & Offers Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
