Product Review Mining — eMAG Customer Feedback

Created by

Scraping Crew

Actor

eMag Product & Offers Scraper

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.

Try for free

eMag Product & Offers Scraperscraping_crew/emag-product-and-offers

Image

Name

Brand

SKU

+13 fields

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

How it works

Sign up on Apify or log in

The eMag Product & Offers Scraper Actor is ready to run with the inputs already set for "Product Review Mining — eMAG Customer Feedback". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Product Review Mining — eMAG Customer Feedback" task

The eMag Product & Offers Scraper Actor will start running based on the input automatically. You can also change all the input fields, like start urls, extract all reviews per product, and more, to match your specific use case.

Receive the "Product Review Mining — eMAG Customer Feedback" 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 image, name, brand, 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 "Product Review Mining — eMAG Customer Feedback" task via API.